diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
index 84dd6538c..db77129a2 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
@@ -19,24 +19,24 @@ fun main() {
 
     measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = structure[it] }
+        strides.asSequence().forEach { res = structure[it] }
     } // warmup
 
     val time1 = measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = structure[it] }
+        strides.asSequence().forEach { res = structure[it] }
     }
     println("Structure reading finished in $time1 millis")
 
     val time2 = measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = buffer[strides.offset(it)] }
+        strides.asSequence().forEach { res = buffer[strides.offset(it)] }
     }
     println("Buffer reading finished in $time2 millis")
 
     val time3 = measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = array[strides.offset(it)] }
+        strides.asSequence().forEach { res = array[strides.offset(it)] }
     }
     println("Array reading finished in $time3 millis")
 }
diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
index 47cc61313..ff9a8302a 100644
--- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
+++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
@@ -166,8 +166,8 @@ public object QuaternionField : Field<Quaternion>, Norm<Quaternion, Quaternion>,
     override operator fun Quaternion.plus(other: Number): Quaternion = Quaternion(w + other.toDouble(), x, y, z)
     override operator fun Quaternion.minus(other: Number): Quaternion = Quaternion(w - other.toDouble(), x, y, z)
 
-    override operator fun Number.times(other: Quaternion): Quaternion =
-        Quaternion(toDouble() * other.w, toDouble() * other.x, toDouble() * other.y, toDouble() * other.z)
+    override operator fun Number.times(arg: Quaternion): Quaternion =
+        Quaternion(toDouble() * arg.w, toDouble() * arg.x, toDouble() * arg.y, toDouble() * arg.z)
 
     override fun Quaternion.unaryMinus(): Quaternion = Quaternion(-w, -x, -y, -z)
     override fun norm(arg: Quaternion): Quaternion = sqrt(arg.conjugate * arg)
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
index dd3c46207..ca0671ccb 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
@@ -38,8 +38,8 @@ public object MstGroup : Group<MST>, NumericAlgebra<MST>, ScaleOperations<MST> {
     override operator fun MST.unaryMinus(): MST.Unary =
         unaryOperationFunction(GroupOps.MINUS_OPERATION)(this)
 
-    override operator fun MST.minus(other: MST): MST.Binary =
-        binaryOperationFunction(GroupOps.MINUS_OPERATION)(this, other)
+    override operator fun MST.minus(arg: MST): MST.Binary =
+        binaryOperationFunction(GroupOps.MINUS_OPERATION)(this, arg)
 
     override fun scale(a: MST, value: Double): MST.Binary =
         binaryOperationFunction(RingOps.TIMES_OPERATION)(a, number(value))
@@ -72,7 +72,7 @@ public object MstRing : Ring<MST>, NumbersAddOps<MST>, ScaleOperations<MST> {
 
     override operator fun MST.unaryPlus(): MST.Unary = MstGroup { +this@unaryPlus }
     override operator fun MST.unaryMinus(): MST.Unary = MstGroup { -this@unaryMinus }
-    override operator fun MST.minus(other: MST): MST.Binary = MstGroup { this@minus - other }
+    override operator fun MST.minus(arg: MST): MST.Binary = MstGroup { this@minus - arg }
 
     override fun binaryOperationFunction(operation: String): (left: MST, right: MST) -> MST.Binary =
         MstGroup.binaryOperationFunction(operation)
@@ -103,7 +103,7 @@ public object MstField : Field<MST>, NumbersAddOps<MST>, ScaleOperations<MST> {
 
     override operator fun MST.unaryPlus(): MST.Unary = MstRing { +this@unaryPlus }
     override operator fun MST.unaryMinus(): MST.Unary = MstRing { -this@unaryMinus }
-    override operator fun MST.minus(other: MST): MST.Binary = MstRing { this@minus - other }
+    override operator fun MST.minus(arg: MST): MST.Binary = MstRing { this@minus - arg }
 
     override fun binaryOperationFunction(operation: String): (left: MST, right: MST) -> MST.Binary =
         MstRing.binaryOperationFunction(operation)
@@ -144,7 +144,7 @@ public object MstExtendedField : ExtendedField<MST>, NumericAlgebra<MST> {
     override fun divide(left: MST, right: MST): MST.Binary = MstField.divide(left, right)
     override operator fun MST.unaryPlus(): MST.Unary = MstField { +this@unaryPlus }
     override operator fun MST.unaryMinus(): MST.Unary = MstField { -this@unaryMinus }
-    override operator fun MST.minus(other: MST): MST.Binary = MstField { this@minus - other }
+    override operator fun MST.minus(arg: MST): MST.Binary = MstField { this@minus - arg }
 
     override fun power(arg: MST, pow: Number): MST.Binary =
         binaryOperationFunction(PowerOperations.POW_OPERATION)(arg, number(pow))
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
index f72b9bd81..410fb8505 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
@@ -29,6 +29,7 @@ public class BufferedLinearSpace<T, out A : Ring<T>>(
     override fun buildVector(size: Int, initializer: A.(Int) -> T): Point<T> =
         bufferAlgebra.buffer(size) { elementAlgebra.initializer(it) }
 
+    @OptIn(PerformancePitfall::class)
     override fun Matrix<T>.unaryMinus(): Matrix<T> = ndAlgebra {
         asND().map { -it }.as2D()
     }
@@ -83,6 +84,7 @@ public class BufferedLinearSpace<T, out A : Ring<T>>(
         }
     }
 
+    @OptIn(PerformancePitfall::class)
     override fun Matrix<T>.times(value: T): Matrix<T> = ndAlgebra {
         asND().map { it * value }.as2D()
     }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
index 3d2d08fac..4e52c8ba9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.nd
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import kotlin.reflect.KClass
@@ -24,6 +25,8 @@ public fun Shape(shapeFirst: Int, vararg shapeRest: Int): Shape = intArrayOf(sha
 
 public interface WithShape {
     public val shape: Shape
+
+    public val indices: ShapeIndexer get() = DefaultStrides(shape)
 }
 
 /**
@@ -46,21 +49,37 @@ public interface AlgebraND<T, out C : Algebra<T>> {
     /**
      * Maps elements from one structure to another one by applying [transform] to them.
      */
-    public fun StructureND<T>.map(transform: C.(T) -> T): StructureND<T>
+    @PerformancePitfall("Very slow on remote execution algebras")
+    public fun StructureND<T>.map(transform: C.(T) -> T): StructureND<T> = structureND(shape) { index ->
+        elementAlgebra.transform(get(index))
+    }
 
     /**
      * Maps elements from one structure to another one by applying [transform] to them alongside with their indices.
      */
-    public fun StructureND<T>.mapIndexed(transform: C.(index: IntArray, T) -> T): StructureND<T>
+    @PerformancePitfall("Very slow on remote execution algebras")
+    public fun StructureND<T>.mapIndexed(transform: C.(index: IntArray, T) -> T): StructureND<T> =
+        structureND(shape) { index ->
+            elementAlgebra.transform(index, get(index))
+        }
 
     /**
      * Combines two structures into one.
      */
-    public fun zip(left: StructureND<T>, right: StructureND<T>, transform: C.(T, T) -> T): StructureND<T>
+    @PerformancePitfall("Very slow on remote execution algebras")
+    public fun zip(left: StructureND<T>, right: StructureND<T>, transform: C.(T, T) -> T): StructureND<T> {
+        require(left.shape.contentEquals(right.shape)) {
+            "Expected left and right of the same shape, but left - ${left.shape} and right - ${right.shape}"
+        }
+        return structureND(left.shape) { index ->
+            elementAlgebra.transform(left[index], right[index])
+        }
+    }
 
     /**
      * Element-wise invocation of function working on [T] on a [StructureND].
      */
+    @PerformancePitfall
     public operator fun Function1<T, T>.invoke(structure: StructureND<T>): StructureND<T> =
         structure.map { value -> this@invoke(value) }
 
@@ -104,6 +123,7 @@ public interface GroupOpsND<T, out A : GroupOps<T>> : GroupOps<StructureND<T>>,
      * @param right the addend.
      * @return the sum.
      */
+    @OptIn(PerformancePitfall::class)
     override fun add(left: StructureND<T>, right: StructureND<T>): StructureND<T> =
         zip(left, right) { aValue, bValue -> add(aValue, bValue) }
 
@@ -116,6 +136,7 @@ public interface GroupOpsND<T, out A : GroupOps<T>> : GroupOps<StructureND<T>>,
      * @param arg the addend.
      * @return the sum.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.plus(arg: T): StructureND<T> = this.map { value -> add(arg, value) }
 
     /**
@@ -125,25 +146,28 @@ public interface GroupOpsND<T, out A : GroupOps<T>> : GroupOps<StructureND<T>>,
      * @param arg the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.minus(arg: T): StructureND<T> = this.map { value -> add(arg, -value) }
 
     /**
      * Adds an element to ND structure of it.
      *
      * @receiver the augend.
-     * @param other the addend.
+     * @param arg the addend.
      * @return the sum.
      */
-    public operator fun T.plus(other: StructureND<T>): StructureND<T> = other.map { value -> add(this@plus, value) }
+    @OptIn(PerformancePitfall::class)
+    public operator fun T.plus(arg: StructureND<T>): StructureND<T> = arg.map { value -> add(this@plus, value) }
 
     /**
      * Subtracts an ND structure from an element of it.
      *
      * @receiver the dividend.
-     * @param other the divisor.
+     * @param arg the divisor.
      * @return the quotient.
      */
-    public operator fun T.minus(other: StructureND<T>): StructureND<T> = other.map { value -> add(-this@minus, value) }
+    @OptIn(PerformancePitfall::class)
+    public operator fun T.minus(arg: StructureND<T>): StructureND<T> = arg.map { value -> add(-this@minus, value) }
 
     public companion object
 }
@@ -166,6 +190,7 @@ public interface RingOpsND<T, out A : RingOps<T>> : RingOps<StructureND<T>>, Gro
      * @param right the multiplier.
      * @return the product.
      */
+    @OptIn(PerformancePitfall::class)
     override fun multiply(left: StructureND<T>, right: StructureND<T>): StructureND<T> =
         zip(left, right) { aValue, bValue -> multiply(aValue, bValue) }
 
@@ -178,6 +203,7 @@ public interface RingOpsND<T, out A : RingOps<T>> : RingOps<StructureND<T>>, Gro
      * @param arg the multiplier.
      * @return the product.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.times(arg: T): StructureND<T> = this.map { value -> multiply(arg, value) }
 
     /**
@@ -187,6 +213,7 @@ public interface RingOpsND<T, out A : RingOps<T>> : RingOps<StructureND<T>>, Gro
      * @param arg the multiplier.
      * @return the product.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun T.times(arg: StructureND<T>): StructureND<T> = arg.map { value -> multiply(this@times, value) }
 
     public companion object
@@ -214,6 +241,7 @@ public interface FieldOpsND<T, out A : Field<T>> :
      * @param right the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     override fun divide(left: StructureND<T>, right: StructureND<T>): StructureND<T> =
         zip(left, right) { aValue, bValue -> divide(aValue, bValue) }
 
@@ -225,6 +253,7 @@ public interface FieldOpsND<T, out A : Field<T>> :
      * @param arg the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.div(arg: T): StructureND<T> = this.map { value -> divide(arg, value) }
 
     /**
@@ -234,8 +263,10 @@ public interface FieldOpsND<T, out A : Field<T>> :
      * @param arg the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun T.div(arg: StructureND<T>): StructureND<T> = arg.map { divide(it, this@div) }
 
+    @OptIn(PerformancePitfall::class)
     override fun scale(a: StructureND<T>, value: Double): StructureND<T> = a.map { scale(it, value) }
 }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
index cf007e7c9..0e094a8c7 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
@@ -7,6 +7,7 @@
 
 package space.kscience.kmath.nd
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.BufferFactory
@@ -34,11 +35,14 @@ public interface BufferAlgebraND<T, out A : Algebra<T>> : AlgebraND<T, A> {
         }
     }
 
+    @PerformancePitfall
     override fun StructureND<T>.map(transform: A.(T) -> T): BufferND<T> = mapInline(toBufferND(), transform)
 
+    @PerformancePitfall
     override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): BufferND<T> =
         mapIndexedInline(toBufferND(), transform)
 
+    @PerformancePitfall
     override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): BufferND<T> =
         zipInline(left.toBufferND(), right.toBufferND(), transform)
 
@@ -78,6 +82,7 @@ internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.zipInline(
     return BufferND(indexes, bufferAlgebra.zipInline(l.buffer, r.buffer, block))
 }
 
+@OptIn(PerformancePitfall::class)
 public open class BufferedGroupNDOps<T, out A : Group<T>>(
     override val bufferAlgebra: BufferAlgebra<T, A>,
     override val indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
@@ -101,6 +106,7 @@ public open class BufferedFieldOpsND<T, out A : Field<T>>(
         indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
     ) : this(BufferFieldOps(elementAlgebra, bufferFactory), indexerBuilder)
 
+    @OptIn(PerformancePitfall::class)
     override fun scale(a: StructureND<T>, value: Double): StructureND<T> = a.map { it * value }
 }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
index 2b6fd3693..19924616d 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
@@ -19,7 +19,7 @@ import space.kscience.kmath.structures.MutableBufferFactory
  * @param buffer The underlying buffer.
  */
 public open class BufferND<out T>(
-    public val indices: ShapeIndexer,
+    override val indices: ShapeIndexer,
     public open val buffer: Buffer<T>,
 ) : StructureND<T> {
 
@@ -28,7 +28,7 @@ public open class BufferND<out T>(
     override val shape: IntArray get() = indices.shape
 
     @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = indices.indices().map {
+    override fun elements(): Sequence<Pair<IntArray, T>> = indices.asSequence().map {
         it to this[it]
     }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
index abb8e46ea..8cc5472a9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.nd
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.DoubleBuffer
@@ -50,10 +51,12 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
         return DoubleBufferND(indexes, DoubleBuffer(indexes.linearSize) { block(lArray[it], rArray[it]) })
     }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.map(transform: DoubleField.(Double) -> Double): BufferND<Double> =
         mapInline(toBufferND()) { DoubleField.transform(it) }
 
 
+    @OptIn(PerformancePitfall::class)
     override fun zip(
         left: StructureND<Double>,
         right: StructureND<Double>,
@@ -92,11 +95,11 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
 
     override fun StructureND<Double>.unaryPlus(): DoubleBufferND = toBufferND()
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleBufferND =
-        zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l + r }
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleBufferND =
+        zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l + r }
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleBufferND =
-        zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l - r }
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleBufferND =
+        zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l - r }
 
     override fun StructureND<Double>.times(other: StructureND<Double>): DoubleBufferND =
         zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l * r }
@@ -107,7 +110,7 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
     override fun StructureND<Double>.div(k: Number): DoubleBufferND =
         mapInline(toBufferND()) { it / k.toDouble() }
 
-    override fun Number.times(other: StructureND<Double>): DoubleBufferND = other * this
+    override fun Number.times(arg: StructureND<Double>): DoubleBufferND = arg * this
 
     override fun StructureND<Double>.plus(arg: Double): DoubleBufferND = mapInline(toBufferND()) { it + arg }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
index 1ce6b7519..20e180dd1 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
@@ -10,7 +10,7 @@ import kotlin.native.concurrent.ThreadLocal
 /**
  * A converter from linear index to multivariate index
  */
-public interface ShapeIndexer{
+public interface ShapeIndexer: Iterable<IntArray>{
     public val shape: Shape
 
     /**
@@ -33,7 +33,9 @@ public interface ShapeIndexer{
     /**
      * Iterate over ND indices in a natural order
      */
-    public fun indices(): Sequence<IntArray>
+    public fun asSequence(): Sequence<IntArray>
+
+    override fun iterator(): Iterator<IntArray> = asSequence().iterator()
 
     override fun equals(other: Any?): Boolean
     override fun hashCode(): Int
@@ -58,7 +60,7 @@ public abstract class Strides: ShapeIndexer {
     /**
      * Iterate over ND indices in a natural order
      */
-    public override fun indices(): Sequence<IntArray> = (0 until linearSize).asSequence().map(::index)
+    public override fun asSequence(): Sequence<IntArray> = (0 until linearSize).asSequence().map(::index)
 }
 
 /**
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
index 496abf60f..614d97950 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
@@ -28,12 +28,12 @@ public interface StructureFeature : Feature<StructureFeature>
  *
  * @param T the type of items.
  */
-public interface StructureND<out T> : Featured<StructureFeature> {
+public interface StructureND<out T> : Featured<StructureFeature>, WithShape {
     /**
      * The shape of structure i.e., non-empty sequence of non-negative integers that specify sizes of dimensions of
      * this structure.
      */
-    public val shape: Shape
+    override val shape: Shape
 
     /**
      * The count of dimensions in this structure. It should be equal to size of [shape].
@@ -54,7 +54,7 @@ public interface StructureND<out T> : Featured<StructureFeature> {
      * @return the lazy sequence of pairs of indices to values.
      */
     @PerformancePitfall
-    public fun elements(): Sequence<Pair<IntArray, T>>
+    public fun elements(): Sequence<Pair<IntArray, T>> = indices.asSequence().map { it to get(it) }
 
     /**
      * Feature is some additional structure information that allows to access it special properties or hints.
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
index d0b0c0b73..c6af75237 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
@@ -149,19 +149,19 @@ public interface GroupOps<T> : Algebra<T> {
      * Addition of two elements.
      *
      * @receiver the augend.
-     * @param other the addend.
+     * @param arg the addend.
      * @return the sum.
      */
-    public operator fun T.plus(other: T): T = add(this, other)
+    public operator fun T.plus(arg: T): T = add(this, arg)
 
     /**
      * Subtraction of two elements.
      *
      * @receiver the minuend.
-     * @param other the subtrahend.
+     * @param arg the subtrahend.
      * @return the difference.
      */
-    public operator fun T.minus(other: T): T = add(this, -other)
+    public operator fun T.minus(arg: T): T = add(this, -arg)
     // Dynamic dispatch of operations
     override fun unaryOperationFunction(operation: String): (arg: T) -> T = when (operation) {
         PLUS_OPERATION -> { arg -> +arg }
@@ -219,9 +219,9 @@ public interface RingOps<T> : GroupOps<T> {
      * Multiplies this element by scalar.
      *
      * @receiver the multiplier.
-     * @param other the multiplicand.
+     * @param arg the multiplicand.
      */
-    public operator fun T.times(other: T): T = multiply(this, other)
+    public operator fun T.times(arg: T): T = multiply(this, arg)
 
     override fun binaryOperationFunction(operation: String): (left: T, right: T) -> T = when (operation) {
         TIMES_OPERATION -> ::multiply
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
index 6be3449f9..9d9fc0885 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
@@ -139,10 +139,10 @@ public interface ScaleOperations<T> : Algebra<T> {
      * Multiplication of this number by element.
      *
      * @receiver the multiplier.
-     * @param other the multiplicand.
+     * @param arg the multiplicand.
      * @return the product.
      */
-    public operator fun Number.times(other: T): T = other * this
+    public operator fun Number.times(arg: T): T = arg * this
 }
 
 /**
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
index 1168dc6ba..0b111349c 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
@@ -228,8 +228,8 @@ public object ByteRing : Ring<Byte>, Norm<Byte, Byte>, NumericAlgebra<Byte> {
     override fun norm(arg: Byte): Byte = if (arg > 0) arg else (-arg).toByte()
 
     override inline fun Byte.unaryMinus(): Byte = (-this).toByte()
-    override inline fun Byte.plus(other: Byte): Byte = (this + other).toByte()
-    override inline fun Byte.minus(other: Byte): Byte = (this - other).toByte()
+    override inline fun Byte.plus(arg: Byte): Byte = (this + arg).toByte()
+    override inline fun Byte.minus(arg: Byte): Byte = (this - arg).toByte()
     override inline fun Byte.times(other: Byte): Byte = (this * other).toByte()
 }
 
diff --git a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
index 3a9c242fc..f63efbef2 100644
--- a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
+++ b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
@@ -19,7 +19,7 @@ public object JBigIntegerField : Ring<BigInteger>, NumericAlgebra<BigInteger> {
 
     override fun number(value: Number): BigInteger = BigInteger.valueOf(value.toLong())
     override fun add(left: BigInteger, right: BigInteger): BigInteger = left.add(right)
-    override operator fun BigInteger.minus(other: BigInteger): BigInteger = subtract(other)
+    override operator fun BigInteger.minus(arg: BigInteger): BigInteger = subtract(arg)
     override fun multiply(left: BigInteger, right: BigInteger): BigInteger = left.multiply(right)
 
     override operator fun BigInteger.unaryMinus(): BigInteger = negate()
@@ -40,7 +40,7 @@ public abstract class JBigDecimalFieldBase internal constructor(
         get() = BigDecimal.ONE
 
     override fun add(left: BigDecimal, right: BigDecimal): BigDecimal = left.add(right)
-    override operator fun BigDecimal.minus(other: BigDecimal): BigDecimal = subtract(other)
+    override operator fun BigDecimal.minus(arg: BigDecimal): BigDecimal = subtract(arg)
     override fun number(value: Number): BigDecimal = BigDecimal.valueOf(value.toDouble())
 
     override fun scale(a: BigDecimal, value: Double): BigDecimal =
diff --git a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
index 3eb6f3aa6..1feb43f33 100644
--- a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
+++ b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
@@ -28,7 +28,7 @@ public class LazyStructureND<out T>(
     @OptIn(PerformancePitfall::class)
     override fun elements(): Sequence<Pair<IntArray, T>> {
         val strides = DefaultStrides(shape)
-        val res = runBlocking { strides.indices().toList().map { index -> index to await(index) } }
+        val res = runBlocking { strides.asSequence().toList().map { index -> index to await(index) } }
         return res.asSequence()
     }
 }
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
index a495577c3..f36f45389 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
@@ -38,7 +38,7 @@ public class IndexedHistogram<T : Comparable<T>, V : Any>(
     override val dimension: Int get() = context.shape.size
 
     override val bins: Iterable<Bin<T>>
-        get() = DefaultStrides(context.shape).indices().map {
+        get() = DefaultStrides(context.shape).asSequence().map {
             context.produceBin(it, values[it])
         }.asIterable()
 
diff --git a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
index 23dd076e1..e07488741 100644
--- a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
+++ b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
@@ -70,7 +70,7 @@ internal class MultivariateHistogramTest {
             }
             val res = histogram1 - histogram2
             assertTrue {
-                DefaultStrides(shape).indices().all { index ->
+                DefaultStrides(shape).asSequence().all { index ->
                     res.values[index] <= histogram1.values[index]
                 }
             }
diff --git a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
index 645a14e30..9ff7ffc9c 100644
--- a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
+++ b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
@@ -57,8 +57,8 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
     override inline fun norm(arg: Double): Double = FastMath.abs(arg)
 
     override inline fun Double.unaryMinus(): Double = -this
-    override inline fun Double.plus(other: Double): Double = this + other
-    override inline fun Double.minus(other: Double): Double = this - other
+    override inline fun Double.plus(arg: Double): Double = this + arg
+    override inline fun Double.minus(arg: Double): Double = this - arg
     override inline fun Double.times(other: Double): Double = this * other
     override inline fun Double.div(other: Double): Double = this / other
 }
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index ec0d4c6d9..02959d4fb 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -59,7 +59,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
     override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): MultikTensor<T> {
         val strides = DefaultStrides(shape)
         val memoryView = initMemoryView<T>(strides.linearSize, type)
-        strides.indices().forEachIndexed { linearIndex, tensorIndex ->
+        strides.asSequence().forEachIndexed { linearIndex, tensorIndex ->
             memoryView[linearIndex] = elementAlgebra.initializer(tensorIndex)
         }
         return MultikTensor(NDArray(memoryView, shape = shape, dim = DN(shape.size)))
@@ -131,14 +131,14 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         get(intArrayOf(0))
     } else null
 
-    override fun T.plus(other: StructureND<T>): MultikTensor<T> =
-        other.plus(this)
+    override fun T.plus(arg: StructureND<T>): MultikTensor<T> =
+        arg.plus(this)
 
     override fun StructureND<T>.plus(arg: T): MultikTensor<T> =
         asMultik().array.deepCopy().apply { plusAssign(arg) }.wrap()
 
-    override fun StructureND<T>.plus(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.plus(other.asMultik().array).wrap()
+    override fun StructureND<T>.plus(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.plus(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.plusAssign(value: T) {
         if (this is MultikTensor) {
@@ -148,21 +148,21 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }
     }
 
-    override fun Tensor<T>.plusAssign(other: StructureND<T>) {
+    override fun Tensor<T>.plusAssign(arg: StructureND<T>) {
         if (this is MultikTensor) {
-            array.plusAssign(other.asMultik().array)
+            array.plusAssign(arg.asMultik().array)
         } else {
-            mapInPlace { index, t -> elementAlgebra.add(t, other[index]) }
+            mapInPlace { index, t -> elementAlgebra.add(t, arg[index]) }
         }
     }
 
-    override fun T.minus(other: StructureND<T>): MultikTensor<T> = (-(other.asMultik().array - this)).wrap()
+    override fun T.minus(arg: StructureND<T>): MultikTensor<T> = (-(arg.asMultik().array - this)).wrap()
 
     override fun StructureND<T>.minus(arg: T): MultikTensor<T> =
         asMultik().array.deepCopy().apply { minusAssign(arg) }.wrap()
 
-    override fun StructureND<T>.minus(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.minus(other.asMultik().array).wrap()
+    override fun StructureND<T>.minus(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.minus(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.minusAssign(value: T) {
         if (this is MultikTensor) {
@@ -172,11 +172,11 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }
     }
 
-    override fun Tensor<T>.minusAssign(other: StructureND<T>) {
+    override fun Tensor<T>.minusAssign(arg: StructureND<T>) {
         if (this is MultikTensor) {
-            array.minusAssign(other.asMultik().array)
+            array.minusAssign(arg.asMultik().array)
         } else {
-            mapInPlace { index, t -> elementAlgebra.run { t - other[index] } }
+            mapInPlace { index, t -> elementAlgebra.run { t - arg[index] } }
         }
     }
 
@@ -186,8 +186,8 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
     override fun StructureND<T>.times(arg: T): Tensor<T> =
         asMultik().array.deepCopy().apply { timesAssign(arg) }.wrap()
 
-    override fun StructureND<T>.times(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.times(other.asMultik().array).wrap()
+    override fun StructureND<T>.times(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.times(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.timesAssign(value: T) {
         if (this is MultikTensor) {
@@ -197,11 +197,11 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }
     }
 
-    override fun Tensor<T>.timesAssign(other: StructureND<T>) {
+    override fun Tensor<T>.timesAssign(arg: StructureND<T>) {
         if (this is MultikTensor) {
-            array.timesAssign(other.asMultik().array)
+            array.timesAssign(arg.asMultik().array)
         } else {
-            mapInPlace { index, t -> elementAlgebra.multiply(t, other[index]) }
+            mapInPlace { index, t -> elementAlgebra.multiply(t, arg[index]) }
         }
     }
 
@@ -212,7 +212,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
 
     override fun StructureND<T>.transpose(i: Int, j: Int): MultikTensor<T> = asMultik().array.transpose(i, j).wrap()
 
-    override fun StructureND<T>.view(shape: IntArray): MultikTensor<T> {
+    override fun Tensor<T>.view(shape: IntArray): MultikTensor<T> {
         require(shape.all { it > 0 })
         require(shape.fold(1, Int::times) == this.shape.size) {
             "Cannot reshape array of size ${this.shape.size} into a new shape ${
@@ -231,7 +231,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }.wrap()
     }
 
-    override fun StructureND<T>.viewAs(other: StructureND<T>): MultikTensor<T> = view(other.shape)
+    override fun Tensor<T>.viewAs(other: StructureND<T>): MultikTensor<T> = view(other.shape)
 
     override fun StructureND<T>.dot(other: StructureND<T>): MultikTensor<T> =
         if (this.shape.size == 1 && other.shape.size == 1) {
@@ -283,8 +283,8 @@ public abstract class MultikDivisionTensorAlgebra<T, A : Field<T>>
     override fun StructureND<T>.div(arg: T): MultikTensor<T> =
         asMultik().array.deepCopy().apply { divAssign(arg) }.wrap()
 
-    override fun StructureND<T>.div(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.div(other.asMultik().array).wrap()
+    override fun StructureND<T>.div(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.div(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.divAssign(value: T) {
         if (this is MultikTensor) {
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
index 1f312849a..b1cc1f834 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
@@ -76,8 +76,8 @@ public sealed interface Nd4jArrayGroupOps<T, out S : Ring<T>> : GroupOpsND<T, S>
     override fun add(left: StructureND<T>, right: StructureND<T>): Nd4jArrayStructure<T> =
         left.ndArray.add(right.ndArray).wrap()
 
-    override operator fun StructureND<T>.minus(other: StructureND<T>): Nd4jArrayStructure<T> =
-        ndArray.sub(other.ndArray).wrap()
+    override operator fun StructureND<T>.minus(arg: StructureND<T>): Nd4jArrayStructure<T> =
+        ndArray.sub(arg.ndArray).wrap()
 
     override operator fun StructureND<T>.unaryMinus(): Nd4jArrayStructure<T> =
         ndArray.neg().wrap()
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index 3fb03c964..33765b40a 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -51,29 +51,29 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
         return structureND(left.shape) { index -> elementAlgebra.transform(left[index], right[index]) }
     }
 
-    override fun T.plus(other: StructureND<T>): Nd4jArrayStructure<T> = other.ndArray.add(this).wrap()
+    override fun T.plus(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.add(this).wrap()
     override fun StructureND<T>.plus(arg: T): Nd4jArrayStructure<T> = ndArray.add(arg).wrap()
 
-    override fun StructureND<T>.plus(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.add(other.ndArray).wrap()
+    override fun StructureND<T>.plus(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.add(arg.ndArray).wrap()
 
     override fun Tensor<T>.plusAssign(value: T) {
         ndArray.addi(value)
     }
 
-    override fun Tensor<T>.plusAssign(other: StructureND<T>) {
-        ndArray.addi(other.ndArray)
+    override fun Tensor<T>.plusAssign(arg: StructureND<T>) {
+        ndArray.addi(arg.ndArray)
     }
 
-    override fun T.minus(other: StructureND<T>): Nd4jArrayStructure<T> = other.ndArray.rsub(this).wrap()
+    override fun T.minus(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.rsub(this).wrap()
     override fun StructureND<T>.minus(arg: T): Nd4jArrayStructure<T> = ndArray.sub(arg).wrap()
-    override fun StructureND<T>.minus(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.sub(other.ndArray).wrap()
+    override fun StructureND<T>.minus(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.sub(arg.ndArray).wrap()
 
     override fun Tensor<T>.minusAssign(value: T) {
         ndArray.rsubi(value)
     }
 
-    override fun Tensor<T>.minusAssign(other: StructureND<T>) {
-        ndArray.subi(other.ndArray)
+    override fun Tensor<T>.minusAssign(arg: StructureND<T>) {
+        ndArray.subi(arg.ndArray)
     }
 
     override fun T.times(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.mul(this).wrap()
@@ -81,14 +81,14 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
     override fun StructureND<T>.times(arg: T): Nd4jArrayStructure<T> =
         ndArray.mul(arg).wrap()
 
-    override fun StructureND<T>.times(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.mul(other.ndArray).wrap()
+    override fun StructureND<T>.times(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.mul(arg.ndArray).wrap()
 
     override fun Tensor<T>.timesAssign(value: T) {
         ndArray.muli(value)
     }
 
-    override fun Tensor<T>.timesAssign(other: StructureND<T>) {
-        ndArray.mmuli(other.ndArray)
+    override fun Tensor<T>.timesAssign(arg: StructureND<T>) {
+        ndArray.mmuli(arg.ndArray)
     }
 
     override fun StructureND<T>.unaryMinus(): Nd4jArrayStructure<T> = ndArray.neg().wrap()
@@ -105,8 +105,8 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
     override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.max(keepDim, dim).wrap()
 
-    override fun StructureND<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
-    override fun StructureND<T>.viewAs(other: StructureND<T>): Nd4jArrayStructure<T> = view(other.shape)
+    override fun Tensor<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
+    override fun Tensor<T>.viewAs(other: StructureND<T>): Nd4jArrayStructure<T> = view(other.shape)
 
     override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndBase.get().argmax(ndArray, keepDim, dim).wrap()
@@ -142,7 +142,7 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
 
     override fun T.div(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.rdiv(this).wrap()
     override fun StructureND<T>.div(arg: T): Nd4jArrayStructure<T> = ndArray.div(arg).wrap()
-    override fun StructureND<T>.div(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.div(other.ndArray).wrap()
+    override fun StructureND<T>.div(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.div(arg.ndArray).wrap()
 
     override fun Tensor<T>.divAssign(value: T) {
         ndArray.divi(value)
@@ -172,7 +172,7 @@ public object DoubleNd4jTensorAlgebra : Nd4jTensorAlgebra<Double, DoubleField> {
     override fun structureND(shape: Shape, initializer: DoubleField.(IntArray) -> Double): Nd4jArrayStructure<Double> {
         val array: INDArray = Nd4j.zeros(*shape)
         val indices = DefaultStrides(shape)
-        indices.indices().forEach { index ->
+        indices.asSequence().forEach { index ->
             array.putScalar(index, elementAlgebra.initializer(index))
         }
         return array.wrap()
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index 28d7c4677..8c445cf2d 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -32,13 +32,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
         valueOrNull() ?: throw IllegalArgumentException("Inconsistent value for tensor of with $shape shape")
 
     /**
-     * Each element of the tensor [other] is added to this value.
+     * Each element of the tensor [arg] is added to this value.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be added.
-     * @return the sum of this value and tensor [other].
+     * @param arg tensor to be added.
+     * @return the sum of this value and tensor [arg].
      */
-    override operator fun T.plus(other: StructureND<T>): Tensor<T>
+    override operator fun T.plus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Adds the scalar [arg] to each element of this tensor and returns a new resulting tensor.
@@ -49,13 +49,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     override operator fun StructureND<T>.plus(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is added to each element of this tensor.
+     * Each element of the tensor [arg] is added to each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be added.
-     * @return the sum of this tensor and [other].
+     * @param arg tensor to be added.
+     * @return the sum of this tensor and [arg].
      */
-    override operator fun StructureND<T>.plus(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.plus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Adds the scalar [value] to each element of this tensor.
@@ -65,20 +65,20 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     public operator fun Tensor<T>.plusAssign(value: T)
 
     /**
-     * Each element of the tensor [other] is added to each element of this tensor.
+     * Each element of the tensor [arg] is added to each element of this tensor.
      *
-     * @param other tensor to be added.
+     * @param arg tensor to be added.
      */
-    public operator fun Tensor<T>.plusAssign(other: StructureND<T>)
+    public operator fun Tensor<T>.plusAssign(arg: StructureND<T>)
 
     /**
-     * Each element of the tensor [other] is subtracted from this value.
+     * Each element of the tensor [arg] is subtracted from this value.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be subtracted.
-     * @return the difference between this value and tensor [other].
+     * @param arg tensor to be subtracted.
+     * @return the difference between this value and tensor [arg].
      */
-    override operator fun T.minus(other: StructureND<T>): Tensor<T>
+    override operator fun T.minus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Subtracts the scalar [arg] from each element of this tensor and returns a new resulting tensor.
@@ -89,13 +89,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     override operator fun StructureND<T>.minus(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is subtracted from each element of this tensor.
+     * Each element of the tensor [arg] is subtracted from each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be subtracted.
-     * @return the difference between this tensor and [other].
+     * @param arg tensor to be subtracted.
+     * @return the difference between this tensor and [arg].
      */
-    override operator fun StructureND<T>.minus(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.minus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Subtracts the scalar [value] from each element of this tensor.
@@ -105,11 +105,11 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     public operator fun Tensor<T>.minusAssign(value: T)
 
     /**
-     * Each element of the tensor [other] is subtracted from each element of this tensor.
+     * Each element of the tensor [arg] is subtracted from each element of this tensor.
      *
-     * @param other tensor to be subtracted.
+     * @param arg tensor to be subtracted.
      */
-    public operator fun Tensor<T>.minusAssign(other: StructureND<T>)
+    public operator fun Tensor<T>.minusAssign(arg: StructureND<T>)
 
 
     /**
@@ -130,13 +130,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     override operator fun StructureND<T>.times(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is multiplied by each element of this tensor.
+     * Each element of the tensor [arg] is multiplied by each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be multiplied.
-     * @return the product of this tensor and [other].
+     * @param arg tensor to be multiplied.
+     * @return the product of this tensor and [arg].
      */
-    override operator fun StructureND<T>.times(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.times(arg: StructureND<T>): Tensor<T>
 
     /**
      * Multiplies the scalar [value] by each element of this tensor.
@@ -146,11 +146,11 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     public operator fun Tensor<T>.timesAssign(value: T)
 
     /**
-     * Each element of the tensor [other] is multiplied by each element of this tensor.
+     * Each element of the tensor [arg] is multiplied by each element of this tensor.
      *
-     * @param other tensor to be multiplied.
+     * @param arg tensor to be multiplied.
      */
-    public operator fun Tensor<T>.timesAssign(other: StructureND<T>)
+    public operator fun Tensor<T>.timesAssign(arg: StructureND<T>)
 
     /**
      * Numerical negative, element-wise.
@@ -186,7 +186,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param shape the desired size
      * @return tensor with new shape
      */
-    public fun StructureND<T>.view(shape: IntArray): Tensor<T>
+    public fun Tensor<T>.view(shape: IntArray): Tensor<T>
 
     /**
      * View this tensor as the same size as [other].
@@ -196,7 +196,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param other the result tensor has the same size as other.
      * @return the result tensor with the same size as other.
      */
-    public fun StructureND<T>.viewAs(other: StructureND<T>): Tensor<T>
+    public fun Tensor<T>.viewAs(other: StructureND<T>): Tensor<T>
 
     /**
      * Matrix product of two tensors.
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
index dece54834..304cc66cc 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
@@ -35,13 +35,13 @@ public interface TensorPartialDivisionAlgebra<T, A : Field<T>> : TensorAlgebra<T
     override operator fun StructureND<T>.div(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is divided by each element of this tensor.
+     * Each element of the tensor [arg] is divided by each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be divided by.
-     * @return the division of this tensor by [other].
+     * @param arg tensor to be divided by.
+     * @return the division of this tensor by [arg].
      */
-    override operator fun StructureND<T>.div(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.div(arg: StructureND<T>): Tensor<T>
 
     override fun divide(left: StructureND<T>, right: StructureND<T>): StructureND<T> = left.div(right)
 
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index f53a0ca55..83d1f7b35 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -19,8 +19,8 @@ import space.kscience.kmath.tensors.core.internal.tensor
  */
 public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleTensor {
-        val broadcast = broadcastTensors(tensor, other.tensor)
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleTensor {
+        val broadcast = broadcastTensors(tensor, arg.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@@ -29,16 +29,16 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.plusAssign(other: StructureND<Double>) {
-        val newOther = broadcastTo(other.tensor, tensor.shape)
+    override fun Tensor<Double>.plusAssign(arg: StructureND<Double>) {
+        val newOther = broadcastTo(arg.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] +=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleTensor {
-        val broadcast = broadcastTensors(tensor, other.tensor)
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleTensor {
+        val broadcast = broadcastTensors(tensor, arg.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@@ -47,16 +47,16 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.minusAssign(other: StructureND<Double>) {
-        val newOther = broadcastTo(other.tensor, tensor.shape)
+    override fun Tensor<Double>.minusAssign(arg: StructureND<Double>) {
+        val newOther = broadcastTo(arg.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] -=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun StructureND<Double>.times(other: StructureND<Double>): DoubleTensor {
-        val broadcast = broadcastTensors(tensor, other.tensor)
+    override fun StructureND<Double>.times(arg: StructureND<Double>): DoubleTensor {
+        val broadcast = broadcastTensors(tensor, arg.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@@ -66,8 +66,8 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.timesAssign(other: StructureND<Double>) {
-        val newOther = broadcastTo(other.tensor, tensor.shape)
+    override fun Tensor<Double>.timesAssign(arg: StructureND<Double>) {
+        val newOther = broadcastTo(arg.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
index ba3331067..eab4d3d5b 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
@@ -23,8 +23,7 @@ public open class BufferedTensor<T> internal constructor(
     /**
      * Buffer strides based on [TensorLinearStructure] implementation
      */
-    public val indices: Strides
-        get() = TensorLinearStructure(shape)
+    override val indices: Strides get() = TensorLinearStructure(shape)
 
     /**
      * Number of elements in tensor
@@ -39,7 +38,7 @@ public open class BufferedTensor<T> internal constructor(
     }
 
     @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = indices.indices().map {
+    override fun elements(): Sequence<Pair<IntArray, T>> = indices.asSequence().map {
         it to get(it)
     }
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 515c46a8a..0856b5c54 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -112,7 +112,7 @@ public open class DoubleTensorAlgebra :
      */
     override fun structureND(shape: IntArray, initializer: DoubleField.(IntArray) -> Double): DoubleTensor = fromArray(
         shape,
-        TensorLinearStructure(shape).indices().map { DoubleField.initializer(it) }.toMutableList().toDoubleArray()
+        TensorLinearStructure(shape).asSequence().map { DoubleField.initializer(it) }.toMutableList().toDoubleArray()
     )
 
     override operator fun StructureND<Double>.get(i: Int): DoubleTensor {
@@ -201,19 +201,19 @@ public open class DoubleTensorAlgebra :
     public fun StructureND<Double>.copy(): DoubleTensor =
         DoubleTensor(tensor.shape, tensor.mutableBuffer.array().copyOf(), tensor.bufferStart)
 
-    override fun Double.plus(other: StructureND<Double>): DoubleTensor {
-        val resBuffer = DoubleArray(other.tensor.numElements) { i ->
-            other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i] + this
+    override fun Double.plus(arg: StructureND<Double>): DoubleTensor {
+        val resBuffer = DoubleArray(arg.tensor.numElements) { i ->
+            arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i] + this
         }
-        return DoubleTensor(other.shape, resBuffer)
+        return DoubleTensor(arg.shape, resBuffer)
     }
 
     override fun StructureND<Double>.plus(arg: Double): DoubleTensor = arg + tensor
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleTensor {
-        checkShapesCompatible(tensor, other.tensor)
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleTensor {
+        checkShapesCompatible(tensor, arg.tensor)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
-            tensor.mutableBuffer.array()[i] + other.tensor.mutableBuffer.array()[i]
+            tensor.mutableBuffer.array()[i] + arg.tensor.mutableBuffer.array()[i]
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
@@ -224,19 +224,19 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.plusAssign(other: StructureND<Double>) {
-        checkShapesCompatible(tensor, other.tensor)
+    override fun Tensor<Double>.plusAssign(arg: StructureND<Double>) {
+        checkShapesCompatible(tensor, arg.tensor)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] +=
-                other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
+                arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun Double.minus(other: StructureND<Double>): DoubleTensor {
-        val resBuffer = DoubleArray(other.tensor.numElements) { i ->
-            this - other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
+    override fun Double.minus(arg: StructureND<Double>): DoubleTensor {
+        val resBuffer = DoubleArray(arg.tensor.numElements) { i ->
+            this - arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i]
         }
-        return DoubleTensor(other.shape, resBuffer)
+        return DoubleTensor(arg.shape, resBuffer)
     }
 
     override fun StructureND<Double>.minus(arg: Double): DoubleTensor {
@@ -246,10 +246,10 @@ public open class DoubleTensorAlgebra :
         return DoubleTensor(tensor.shape, resBuffer)
     }
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleTensor {
-        checkShapesCompatible(tensor, other)
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleTensor {
+        checkShapesCompatible(tensor, arg)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
-            tensor.mutableBuffer.array()[i] - other.tensor.mutableBuffer.array()[i]
+            tensor.mutableBuffer.array()[i] - arg.tensor.mutableBuffer.array()[i]
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
@@ -260,11 +260,11 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.minusAssign(other: StructureND<Double>) {
-        checkShapesCompatible(tensor, other)
+    override fun Tensor<Double>.minusAssign(arg: StructureND<Double>) {
+        checkShapesCompatible(tensor, arg)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] -=
-                other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
+                arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
@@ -277,11 +277,11 @@ public open class DoubleTensorAlgebra :
 
     override fun StructureND<Double>.times(arg: Double): DoubleTensor = arg * tensor
 
-    override fun StructureND<Double>.times(other: StructureND<Double>): DoubleTensor {
-        checkShapesCompatible(tensor, other)
+    override fun StructureND<Double>.times(arg: StructureND<Double>): DoubleTensor {
+        checkShapesCompatible(tensor, arg)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *
-                    other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
+                    arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i]
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
@@ -292,11 +292,11 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.timesAssign(other: StructureND<Double>) {
-        checkShapesCompatible(tensor, other)
+    override fun Tensor<Double>.timesAssign(arg: StructureND<Double>) {
+        checkShapesCompatible(tensor, arg)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *=
-                other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
+                arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
@@ -368,12 +368,12 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
-    override fun StructureND<Double>.view(shape: IntArray): DoubleTensor {
+    override fun Tensor<Double>.view(shape: IntArray): DoubleTensor {
         checkView(tensor, shape)
         return DoubleTensor(shape, tensor.mutableBuffer.array(), tensor.bufferStart)
     }
 
-    override fun StructureND<Double>.viewAs(other: StructureND<Double>): DoubleTensor =
+    override fun Tensor<Double>.viewAs(other: StructureND<Double>): DoubleTensor =
         tensor.view(other.shape)
 
     override infix fun StructureND<Double>.dot(other: StructureND<Double>): DoubleTensor {
@@ -584,7 +584,7 @@ public open class DoubleTensorAlgebra :
         }
         val resNumElements = resShape.reduce(Int::times)
         val resTensor = DoubleTensor(resShape, DoubleArray(resNumElements) { 0.0 }, 0)
-        for (index in resTensor.indices.indices()) {
+        for (index in resTensor.indices.asSequence()) {
             val prefix = index.take(dim).toIntArray()
             val suffix = index.takeLast(dimension - dim - 1).toIntArray()
             resTensor[index] = foldFunction(DoubleArray(shape[dim]) { i ->
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
index 4123ff923..d3d327f66 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
@@ -22,7 +22,7 @@ internal fun BufferedTensor<Double>.asTensor(): DoubleTensor =
 internal fun <T> StructureND<T>.copyToBufferedTensor(): BufferedTensor<T> =
     BufferedTensor(
         this.shape,
-        TensorLinearStructure(this.shape).indices().map(this::get).toMutableList().asMutableBuffer(), 0
+        TensorLinearStructure(this.shape).asSequence().map(this::get).toMutableList().asMutableBuffer(), 0
     )
 
 internal fun <T> StructureND<T>.toBufferedTensor(): BufferedTensor<T> = when (this) {
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
index aaa113e56..c50404c9c 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
@@ -28,7 +28,7 @@ public open class ViktorFieldOpsND :
 
     override fun structureND(shape: IntArray, initializer: DoubleField.(IntArray) -> Double): ViktorStructureND =
         F64Array(*shape).apply {
-            DefaultStrides(shape).indices().forEach { index ->
+            DefaultStrides(shape).asSequence().forEach { index ->
                 set(value = DoubleField.initializer(index), indices = index)
             }
         }.asStructure()
@@ -37,7 +37,7 @@ public open class ViktorFieldOpsND :
 
     override fun StructureND<Double>.map(transform: DoubleField.(Double) -> Double): ViktorStructureND =
         F64Array(*shape).apply {
-            DefaultStrides(shape).indices().forEach { index ->
+            DefaultStrides(shape).asSequence().forEach { index ->
                 set(value = DoubleField.transform(this@map[index]), indices = index)
             }
         }.asStructure()
@@ -45,7 +45,7 @@ public open class ViktorFieldOpsND :
     override fun StructureND<Double>.mapIndexed(
         transform: DoubleField.(index: IntArray, Double) -> Double,
     ): ViktorStructureND = F64Array(*shape).apply {
-        DefaultStrides(shape).indices().forEach { index ->
+        DefaultStrides(shape).asSequence().forEach { index ->
             set(value = DoubleField.transform(index, this@mapIndexed[index]), indices = index)
         }
     }.asStructure()
@@ -57,7 +57,7 @@ public open class ViktorFieldOpsND :
     ): ViktorStructureND {
         require(left.shape.contentEquals(right.shape))
         return F64Array(*left.shape).apply {
-            DefaultStrides(left.shape).indices().forEach { index ->
+            DefaultStrides(left.shape).asSequence().forEach { index ->
                 set(value = DoubleField.transform(left[index], right[index]), indices = index)
             }
         }.asStructure()
@@ -69,11 +69,11 @@ public open class ViktorFieldOpsND :
     override fun scale(a: StructureND<Double>, value: Double): ViktorStructureND =
         (a.f64Buffer * value).asStructure()
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): ViktorStructureND =
-        (f64Buffer + other.f64Buffer).asStructure()
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): ViktorStructureND =
+        (f64Buffer + arg.f64Buffer).asStructure()
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): ViktorStructureND =
-        (f64Buffer - other.f64Buffer).asStructure()
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): ViktorStructureND =
+        (f64Buffer - arg.f64Buffer).asStructure()
 
     override fun StructureND<Double>.times(k: Number): ViktorStructureND =
         (f64Buffer * k.toDouble()).asStructure()
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
index 0d29983f9..4926652ed 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
@@ -22,7 +22,7 @@ public class ViktorStructureND(public val f64Buffer: F64Array) : MutableStructur
 
     @PerformancePitfall
     override fun elements(): Sequence<Pair<IntArray, Double>> =
-        DefaultStrides(shape).indices().map { it to get(it) }
+        DefaultStrides(shape).asSequence().map { it to get(it) }
 }
 
 public fun F64Array.asStructure(): ViktorStructureND = ViktorStructureND(this)