Refactor ND builders to suit new discoverability pattern

benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt

@@ -46,8 +46,8 @@ internal class NDFieldBenchmark {
     private companion object {
         private const val dim = 1000
         private const val n = 100
-        private val autoField = AlgebraND.auto(DoubleField, dim, dim)
+        private val autoField = DoubleField.autoNd(dim, dim)
-        private val specializedField = AlgebraND.real(dim, dim)
+        private val specializedField = DoubleField.nd(dim, dim)
-        private val genericField = AlgebraND.field(DoubleField, Buffer.Companion::boxing, dim, dim)
+        private val genericField = DoubleField.nd(Buffer.Companion::boxing, dim, dim)
     }
 }

benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt

@@ -10,10 +10,9 @@ import kotlinx.benchmark.Blackhole
 import kotlinx.benchmark.Scope
 import kotlinx.benchmark.State
 import org.jetbrains.bio.viktor.F64Array
-import space.kscience.kmath.nd.AlgebraND
 import space.kscience.kmath.nd.StructureND
-import space.kscience.kmath.nd.auto
+import space.kscience.kmath.nd.autoNd
-import space.kscience.kmath.nd.real
+import space.kscience.kmath.nd.nd
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.viktor.ViktorNDField
 
@@ -59,8 +58,8 @@ internal class ViktorBenchmark {
         private const val n = 100
 
         // automatically build context most suited for given type.
-        private val autoField = AlgebraND.auto(DoubleField, dim, dim)
+        private val autoField = DoubleField.autoNd(dim, dim)
-        private val realField = AlgebraND.real(dim, dim)
+        private val realField = DoubleField.nd(dim, dim)
         private val viktorField = ViktorNDField(dim, dim)
     }
 }

benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt

@@ -10,9 +10,8 @@ import kotlinx.benchmark.Blackhole
 import kotlinx.benchmark.Scope
 import kotlinx.benchmark.State
 import org.jetbrains.bio.viktor.F64Array
-import space.kscience.kmath.nd.AlgebraND
+import space.kscience.kmath.nd.autoNd
-import space.kscience.kmath.nd.auto
+import space.kscience.kmath.nd.nd
-import space.kscience.kmath.nd.real
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.viktor.ViktorFieldND
 
@@ -51,8 +50,8 @@ internal class ViktorLogBenchmark {
         private const val n = 100
 
         // automatically build context most suited for given type.
-        private val autoField = AlgebraND.auto(DoubleField, dim, dim)
+        private val autoField = DoubleField.autoNd(dim, dim)
-        private val realNdField = AlgebraND.real(dim, dim)
+        private val realNdField = DoubleField.nd(dim, dim)
         private val viktorField = ViktorFieldND(intArrayOf(dim, dim))
     }
 }

examples/src/main/kotlin/space/kscience/kmath/functions/matrixIntegration.kt

@@ -9,12 +9,12 @@ import space.kscience.kmath.integration.gaussIntegrator
 import space.kscience.kmath.integration.integrate
 import space.kscience.kmath.integration.value
 import space.kscience.kmath.nd.StructureND
-import space.kscience.kmath.nd.nd
+import space.kscience.kmath.nd.withNd
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.invoke
 
 fun main(): Unit = DoubleField {
-    nd(2, 2) {
+    withNd(2, 2) {
 
         //Produce a diagonal StructureND
         fun diagonal(v: Double) = produce { (i, j) ->

examples/src/main/kotlin/space/kscience/kmath/operations/ComplexDemo.kt

@@ -6,18 +6,20 @@
 package space.kscience.kmath.operations
 
 import space.kscience.kmath.complex.Complex
-import space.kscience.kmath.complex.complex
+import space.kscience.kmath.complex.ComplexField
-import space.kscience.kmath.nd.AlgebraND
+import space.kscience.kmath.complex.withNd
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.nd.autoNd
 
 fun main() {
     // 2d element
-    val element = AlgebraND.complex(2, 2).produce { (i, j) ->
+    val element = ComplexField.autoNd(2, 2).produce { (i, j) ->
-        Complex(i.toDouble() - j.toDouble(), i.toDouble() + j.toDouble())
+        Complex(i - j, i + j)
     }
     println(element)
 
     // 1d element operation
-    val result = with(AlgebraND.complex(8)) {
+    val result: StructureND<Complex> = ComplexField.withNd(8) {
         val a = produce { (it) -> i * it - it.toDouble() }
         val b = 3
         val c = Complex(1.0, 1.0)

examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt

@@ -9,10 +9,10 @@ package space.kscience.kmath.structures
 
 import space.kscience.kmath.complex.*
 import space.kscience.kmath.linear.transpose
-import space.kscience.kmath.nd.AlgebraND
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.nd.as2D
-import space.kscience.kmath.nd.real
+import space.kscience.kmath.nd.nd
+import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.invoke
 import kotlin.system.measureTimeMillis
 
@@ -20,8 +20,8 @@ fun main() {
     val dim = 1000
     val n = 1000
 
-    val realField = AlgebraND.real(dim, dim)
+    val realField = DoubleField.nd(dim, dim)
-    val complexField: ComplexFieldND = AlgebraND.complex(dim, dim)
+    val complexField: ComplexFieldND = ComplexField.nd(dim, dim)
 
     val realTime = measureTimeMillis {
         realField {
@@ -49,7 +49,7 @@ fun main() {
 fun complexExample() {
     //Create a context for 2-d structure with complex values
     ComplexField {
-        nd(4, 8) {
+        withNd(4, 8) {
             //a constant real-valued structure
             val x = one * 2.5
             operator fun Number.plus(other: Complex) = Complex(this.toDouble() + other.re, other.im)

examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt

@@ -8,7 +8,9 @@ package space.kscience.kmath.structures
 import kotlinx.coroutines.DelicateCoroutinesApi
 import kotlinx.coroutines.GlobalScope
 import org.nd4j.linalg.factory.Nd4j
-import space.kscience.kmath.nd.*
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.nd.autoNd
+import space.kscience.kmath.nd.nd
 import space.kscience.kmath.nd4j.Nd4jArrayField
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.invoke
@@ -31,17 +33,17 @@ fun main() {
     val n = 1000
 
     // automatically build context most suited for given type.
-    val autoField = AlgebraND.auto(DoubleField, dim, dim)
+    val autoField = DoubleField.autoNd(dim, dim)
     // specialized nd-field for Double. It works as generic Double field as well.
-    val realField = AlgebraND.real(dim, dim)
+    val realField = DoubleField.nd(dim, dim)
     //A generic boxing field. It should be used for objects, not primitives.
-    val boxingField = AlgebraND.field(DoubleField, Buffer.Companion::boxing, dim, dim)
+    val boxingField = DoubleField.nd(Buffer.Companion::boxing, dim, dim)
     // Nd4j specialized field.
     val nd4jField = Nd4jArrayField.real(dim, dim)
     //viktor field
     val viktorField = ViktorNDField(dim, dim)
     //parallel processing based on Java Streams
-    val parallelField = AlgebraND.realWithStream(dim, dim)
+    val parallelField = DoubleField.ndStreaming(dim, dim)
 
     measureAndPrint("Boxing addition") {
         boxingField {

examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt

@@ -105,4 +105,4 @@ class StreamDoubleFieldND(override val shape: IntArray) : FieldND<Double, Double
     override fun atanh(arg: StructureND<Double>): BufferND<Double> = arg.map { atanh(it) }
 }
 
-fun AlgebraND.Companion.realWithStream(vararg shape: Int): StreamDoubleFieldND = StreamDoubleFieldND(shape)
+fun DoubleField.ndStreaming(vararg shape: Int): StreamDoubleFieldND = StreamDoubleFieldND(shape)

gradle.properties

@@ -7,6 +7,8 @@ kotlin.code.style=official
 kotlin.mpp.enableGranularSourceSetsMetadata=true
 kotlin.mpp.stability.nowarn=true
 kotlin.native.enableDependencyPropagation=false
+kotlin.jupyter.add.scanner=false
+
 org.gradle.configureondemand=true
 org.gradle.jvmargs=-XX:MaxMetaspaceSize=2G
 org.gradle.parallel=true

kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt

@@ -6,7 +6,6 @@
 package space.kscience.kmath.complex
 
 import space.kscience.kmath.misc.UnstableKMathAPI
-import space.kscience.kmath.nd.AlgebraND
 import space.kscience.kmath.nd.BufferND
 import space.kscience.kmath.nd.BufferedFieldND
 import space.kscience.kmath.nd.StructureND
@@ -113,12 +112,12 @@ public inline fun BufferedFieldND<Complex, ComplexField>.produceInline(initializ
 }
 
 
-public fun AlgebraND.Companion.complex(vararg shape: Int): ComplexFieldND = ComplexFieldND(shape)
+public fun ComplexField.nd(vararg shape: Int): ComplexFieldND = ComplexFieldND(shape)
 
 /**
  * Produce a context for n-dimensional operations inside this real field
  */
-public inline fun <R> ComplexField.nd(vararg shape: Int, action: ComplexFieldND.() -> R): R {
+public inline fun <R> ComplexField.withNd(vararg shape: Int, action: ComplexFieldND.() -> R): R {
     contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) }
     return ComplexFieldND(shape).action()
 }

kmath-core/build.gradle.kts

@@ -2,6 +2,7 @@ plugins {
     kotlin("multiplatform")
     id("ru.mipt.npm.gradle.common")
     id("ru.mipt.npm.gradle.native")
+//    id("com.xcporter.metaview") version "0.0.5"
 }
 
 kotlin.sourceSets {
@@ -12,6 +13,12 @@ kotlin.sourceSets {
     }
 }
 
+//generateUml {
+//    classTree {
+//
+//    }
+//}
+
 readme {
     description = "Core classes, algebra definitions, basic linear algebra"
     maturity = ru.mipt.npm.gradle.Maturity.DEVELOPMENT

kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt

@@ -6,7 +6,10 @@
 package space.kscience.kmath.linear
 
 import space.kscience.kmath.misc.PerformancePitfall
-import space.kscience.kmath.nd.*
+import space.kscience.kmath.nd.BufferedRingND
+import space.kscience.kmath.nd.as2D
+import space.kscience.kmath.nd.nd
+import space.kscience.kmath.nd.unwrap
 import space.kscience.kmath.operations.Ring
 import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.structures.Buffer
@@ -23,7 +26,7 @@ public class BufferedLinearSpace<T : Any, out A : Ring<T>>(
     private fun ndRing(
         rows: Int,
         cols: Int,
-    ): BufferedRingND<T, A> = AlgebraND.ring(elementAlgebra, bufferFactory, rows, cols)
+    ): BufferedRingND<T, A> = elementAlgebra.nd(bufferFactory, rows, cols)
 
     override fun buildMatrix(rows: Int, columns: Int, initializer: A.(i: Int, j: Int) -> T): Matrix<T> =
         ndRing(rows, columns).produce { (i, j) -> elementAlgebra.initializer(i, j) }.as2D()

kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt

@@ -5,11 +5,13 @@
 
 package space.kscience.kmath.nd
 
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.BufferFactory
 import kotlin.contracts.InvocationKind
 import kotlin.contracts.contract
+import kotlin.jvm.JvmName
 
 public interface BufferAlgebraND<T, out A : Algebra<T>> : AlgebraND<T, A> {
     public val strides: Strides
@@ -85,58 +87,61 @@ public open class BufferedFieldND<T, out R : Field<T>>(
 }
 
 // group factories
-public fun <T, A : Ring<T>> AlgebraND.Companion.group(
+public fun <T, A : Group<T>> A.nd(
-    space: A,
     bufferFactory: BufferFactory<T>,
     vararg shape: Int,
-): BufferedGroupND<T, A> = BufferedGroupND(shape, space, bufferFactory)
+): BufferedGroupND<T, A> = BufferedGroupND(shape, this, bufferFactory)
 
-public inline fun <T, A : Ring<T>, R> A.ndGroup(
+@JvmName("withNdGroup")
+public inline fun <T, A : Group<T>, R> A.withNd(
     noinline bufferFactory: BufferFactory<T>,
     vararg shape: Int,
     action: BufferedGroupND<T, A>.() -> R,
 ): R {
     contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) }
-    return AlgebraND.group(this, bufferFactory, *shape).run(action)
+    return nd(bufferFactory, *shape).run(action)
 }
 
 //ring factories
-public fun <T, A : Ring<T>> AlgebraND.Companion.ring(
+public fun <T, A : Ring<T>> A.nd(
-    ring: A,
     bufferFactory: BufferFactory<T>,
     vararg shape: Int,
-): BufferedRingND<T, A> = BufferedRingND(shape, ring, bufferFactory)
+): BufferedRingND<T, A> = BufferedRingND(shape, this, bufferFactory)
 
-public inline fun <T, A : Ring<T>, R> A.ndRing(
+@JvmName("withNdRing")
+public inline fun <T, A : Ring<T>, R> A.withNd(
     noinline bufferFactory: BufferFactory<T>,
     vararg shape: Int,
     action: BufferedRingND<T, A>.() -> R,
 ): R {
     contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) }
-    return AlgebraND.ring(this, bufferFactory, *shape).run(action)
+    return nd(bufferFactory, *shape).run(action)
 }
 
 //field factories
-public fun <T, A : Field<T>> AlgebraND.Companion.field(
+public fun <T, A : Field<T>> A.nd(
-    field: A,
     bufferFactory: BufferFactory<T>,
     vararg shape: Int,
-): BufferedFieldND<T, A> = BufferedFieldND(shape, field, bufferFactory)
+): BufferedFieldND<T, A> = BufferedFieldND(shape, this, bufferFactory)
 
+/**
+ * Create a [FieldND] for this [Field] inferring proper buffer factory from the type
+ */
+@UnstableKMathAPI
 @Suppress("UNCHECKED_CAST")
-public inline fun <reified T : Any, A : Field<T>> AlgebraND.Companion.auto(
+public inline fun <reified T : Any, A : Field<T>> A.autoNd(
-    field: A,
     vararg shape: Int,
-): FieldND<T, A> = when (field) {
+): FieldND<T, A> = when (this) {
     DoubleField -> DoubleFieldND(shape) as FieldND<T, A>
-    else -> BufferedFieldND(shape, field, Buffer.Companion::auto)
+    else -> BufferedFieldND(shape, this, Buffer.Companion::auto)
 }
 
-public inline fun <T, A : Field<T>, R> A.ndField(
+@JvmName("withNdField")
+public inline fun <T, A : Field<T>, R> A.withNd(
     noinline bufferFactory: BufferFactory<T>,
     vararg shape: Int,
     action: BufferedFieldND<T, A>.() -> R,
 ): R {
     contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) }
-    return AlgebraND.field(this, bufferFactory, *shape).run(action)
+    return nd(bufferFactory, *shape).run(action)
 }

kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt

@@ -103,12 +103,12 @@ public class DoubleFieldND(
     override fun atanh(arg: StructureND<Double>): BufferND<Double> = arg.map { atanh(it) }
 }
 
-public fun AlgebraND.Companion.real(vararg shape: Int): DoubleFieldND = DoubleFieldND(shape)
+public fun DoubleField.nd(vararg shape: Int): DoubleFieldND = DoubleFieldND(shape)
 
 /**
  * Produce a context for n-dimensional operations inside this real field
  */
-public inline fun <R> DoubleField.nd(vararg shape: Int, action: DoubleFieldND.() -> R): R {
+public inline fun <R> DoubleField.withNd(vararg shape: Int, action: DoubleFieldND.() -> R): R {
     contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) }
     return DoubleFieldND(shape).run(action)
 }

kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt

@@ -34,7 +34,7 @@ public class ShortRingND(
 public inline fun BufferedRingND<Short, ShortRing>.produceInline(crossinline initializer: ShortRing.(Int) -> Short): BufferND<Short> =
     BufferND(strides, ShortBuffer(ShortArray(strides.linearSize) { offset -> ShortRing.initializer(offset) }))
 
-public inline fun <R> ShortRing.nd(vararg shape: Int, action: ShortRingND.() -> R): R {
+public inline fun <R> ShortRing.withNd(vararg shape: Int, action: ShortRingND.() -> R): R {
     contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) }
     return ShortRingND(shape).run(action)
 }

kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt

@@ -6,7 +6,6 @@
 package space.kscience.kmath.operations
 
 import space.kscience.kmath.misc.UnstableKMathAPI
-import space.kscience.kmath.nd.AlgebraND
 import space.kscience.kmath.nd.BufferedRingND
 import space.kscience.kmath.operations.BigInt.Companion.BASE
 import space.kscience.kmath.operations.BigInt.Companion.BASE_SIZE
@@ -533,5 +532,5 @@ public inline fun Buffer.Companion.bigInt(size: Int, initializer: (Int) -> BigIn
 public inline fun MutableBuffer.Companion.bigInt(size: Int, initializer: (Int) -> BigInt): MutableBuffer<BigInt> =
     boxing(size, initializer)
 
-public fun AlgebraND.Companion.bigInt(vararg shape: Int): BufferedRingND<BigInt, BigIntField> =
+public fun BigIntField.nd(vararg shape: Int): BufferedRingND<BigInt, BigIntField> =
     BufferedRingND(shape, BigIntField, Buffer.Companion::bigInt)

kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt

@@ -5,9 +5,9 @@
 
 package space.kscience.kmath.structures
 
-import space.kscience.kmath.nd.AlgebraND
 import space.kscience.kmath.nd.get
-import space.kscience.kmath.nd.real
+import space.kscience.kmath.nd.nd
+import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.testutils.FieldVerifier
 import kotlin.test.Test
@@ -16,12 +16,12 @@ import kotlin.test.assertEquals
 internal class NDFieldTest {
     @Test
     fun verify() {
-        (AlgebraND.real(12, 32)) { FieldVerifier(this, one + 3, one - 23, one * 12, 6.66) }
+        (DoubleField.nd(12, 32)) { FieldVerifier(this, one + 3, one - 23, one * 12, 6.66) }
     }
 
     @Test
     fun testStrides() {
-        val ndArray = AlgebraND.real(10, 10).produce { (it[0] + it[1]).toDouble() }
+        val ndArray = DoubleField.nd(10, 10).produce { (it[0] + it[1]).toDouble() }
         assertEquals(ndArray[5, 5], 10.0)
     }
 }

kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt

@@ -7,7 +7,11 @@ package space.kscience.kmath.structures
 
 import space.kscience.kmath.linear.LinearSpace
 import space.kscience.kmath.misc.PerformancePitfall
-import space.kscience.kmath.nd.*
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.nd.combine
+import space.kscience.kmath.nd.get
+import space.kscience.kmath.nd.nd
+import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.Norm
 import space.kscience.kmath.operations.invoke
 import kotlin.math.abs
@@ -17,7 +21,7 @@ import kotlin.test.assertEquals
 
 @Suppress("UNUSED_VARIABLE")
 class NumberNDFieldTest {
-    val algebra = AlgebraND.real(3, 3)
+    val algebra = DoubleField.nd(3, 3)
     val array1 = algebra.produce { (i, j) -> (i + j).toDouble() }
     val array2 = algebra.produce { (i, j) -> (i - j).toDouble() }
 
@@ -83,7 +87,7 @@ class NumberNDFieldTest {
     @Test
     fun testInternalContext() {
         algebra {
-            (AlgebraND.real(*array1.shape)) { with(L2Norm) { 1 + norm(array1) + exp(array2) } }
+            (DoubleField.nd(*array1.shape)) { with(L2Norm) { 1 + norm(array1) + exp(array2) } }
         }
     }
 }

kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt

@@ -9,6 +9,7 @@ import space.kscience.kmath.domains.Domain
 import space.kscience.kmath.domains.HyperSquareDomain
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.nd.*
+import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.structures.*
 import kotlin.math.floor
 
@@ -28,7 +29,7 @@ public class DoubleHistogramSpace(
     public val dimension: Int get() = lower.size
 
     private val shape = IntArray(binNums.size) { binNums[it] + 2 }
-    override val histogramValueSpace: DoubleFieldND = AlgebraND.real(*shape)
+    override val histogramValueSpace: DoubleFieldND = DoubleField.nd(*shape)
 
     override val strides: Strides get() = histogramValueSpace.strides
     private val binSize = DoubleBuffer(dimension) { (upper[it] - lower[it]) / binNums[it] }

kmath-jupyter/src/main/kotlin/space/kscience/kmath/jupyter/KMathJupyter.kt

@@ -11,7 +11,6 @@ import kotlinx.html.stream.createHTML
 import kotlinx.html.unsafe
 import org.jetbrains.kotlinx.jupyter.api.DisplayResult
 import org.jetbrains.kotlinx.jupyter.api.HTML
-import org.jetbrains.kotlinx.jupyter.api.annotations.JupyterLibrary
 import org.jetbrains.kotlinx.jupyter.api.libraries.JupyterIntegration
 import space.kscience.kmath.ast.rendering.FeaturedMathRendererWithPostProcess
 import space.kscience.kmath.ast.rendering.MathMLSyntaxRenderer

kmath-optimization/src/commonMain/kotlin/space/kscience/kmath/optimization/QowOptimizer.kt

@@ -16,6 +16,14 @@ import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.structures.DoubleL2Norm
 
+public class QowRuns(public val runs: Int) : OptimizationFeature {
+    init {
+        require(runs >= 1) { "Number of runs must be more than zero" }
+    }
+
+    override fun toString(): String = "QowRuns(runs=$runs)"
+}
+
 
 /**
  * An optimizer based onf Fyodor Tkachev's quasi-optimal weights method.
@@ -56,7 +64,7 @@ public object QowOptimizer : Optimizer<Double, XYFit> {
 
         val prior: DifferentiableExpression<Double>? get() = problem.getFeature<OptimizationPrior<Double>>()
 
-        override fun toString(): String  = parameters.toString()
+        override fun toString(): String = parameters.toString()
     }
 
     /**
@@ -242,9 +250,15 @@ public object QowOptimizer : Optimizer<Double, XYFit> {
     }
 
     override suspend fun optimize(problem: XYFit): XYFit {
-        val qowSteps = 2
+        val qowRuns = problem.getFeature<QowRuns>()?.runs ?: 2
-        val initialWeight = QoWeight(problem, problem.startPoint)
+
-        val res = initialWeight.newtonianRun()
+
+        var qow = QoWeight(problem, problem.startPoint)
+        var res = qow.newtonianRun()
+        repeat(qowRuns - 1) {
+            qow = QoWeight(problem, res.parameters)
+            res = qow.newtonianRun()
+        }
         return res.problem.withFeature(OptimizationResult(res.parameters))
     }
 }

settings.gradle.kts

@@ -5,11 +5,11 @@ pluginManagement {
         gradlePluginPortal()
     }
 
-    val kotlinVersion = "1.5.21"
+    val kotlinVersion = "1.5.30"
 
     plugins {
         id("org.jetbrains.kotlinx.benchmark") version "0.3.1"
-        id("ru.mipt.npm.gradle.project") version "0.10.2"
+        id("ru.mipt.npm.gradle.project") version "0.10.3"
         kotlin("multiplatform") version kotlinVersion
         kotlin("plugin.allopen") version kotlinVersion
     }