diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleLinearOpsTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleLinearOpsTensorAlgebra.kt
index ab73b25b1..700fafbeb 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleLinearOpsTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleLinearOpsTensorAlgebra.kt
@@ -53,14 +53,15 @@ public object DoubleLinearOpsTensorAlgebra :
         val lTensor = luTensor.zeroesLike()
         val uTensor = luTensor.zeroesLike()
 
-        for ((pairLU, lu) in lTensor.matrixSequence().zip(uTensor.matrixSequence())
-            .zip(luTensor.tensor.matrixSequence())) {
-            val (l, u) = pairLU
-            luPivotHelper(l.as2D(), u.as2D(), lu.as2D(), n)
-        }
+        lTensor.matrixSequence()
+            .zip(uTensor.matrixSequence())
+            .zip(luTensor.tensor.matrixSequence())
+            .forEach { (pairLU, lu) ->
+                val (l, u) = pairLU
+                luPivotHelper(l.as2D(), u.as2D(), lu.as2D(), n)
+            }
 
         return Triple(pTensor, lTensor, uTensor)
-
     }
 
     public fun TensorStructure<Double>.cholesky(epsilon: Double): DoubleTensor {
@@ -82,11 +83,13 @@ public object DoubleLinearOpsTensorAlgebra :
         checkSquareMatrix(shape)
         val qTensor = zeroesLike()
         val rTensor = zeroesLike()
-        val seq = tensor.matrixSequence().zip((qTensor.matrixSequence().zip(rTensor.matrixSequence())))
-        for ((matrix, qr) in seq) {
+        tensor.matrixSequence()
+            .zip((qTensor.matrixSequence()
+                .zip(rTensor.matrixSequence()))).forEach { (matrix, qr) ->
             val (q, r) = qr
             qrHelper(matrix.asTensor(), q.asTensor(), r.as2D())
         }
+
         return qTensor to rTensor
     }
 
@@ -97,20 +100,24 @@ public object DoubleLinearOpsTensorAlgebra :
         val size = tensor.linearStructure.dim
         val commonShape = tensor.shape.sliceArray(0 until size - 2)
         val (n, m) = tensor.shape.sliceArray(size - 2 until size)
-        val resU = zeros(commonShape + intArrayOf(min(n, m), n))
-        val resS = zeros(commonShape + intArrayOf(min(n, m)))
-        val resV = zeros(commonShape + intArrayOf(min(n, m), m))
+        val uTensor = zeros(commonShape + intArrayOf(min(n, m), n))
+        val sTensor = zeros(commonShape + intArrayOf(min(n, m)))
+        val vTensor = zeros(commonShape + intArrayOf(min(n, m), m))
 
-        for ((matrix, USV) in tensor.matrixSequence()
-            .zip(resU.matrixSequence().zip(resS.vectorSequence().zip(resV.matrixSequence())))) {
-            val matrixSize = matrix.shape.reduce { acc, i -> acc * i }
-            val curMatrix = DoubleTensor(
-                matrix.shape,
-                matrix.mutableBuffer.array().slice(matrix.bufferStart until matrix.bufferStart + matrixSize).toDoubleArray()
-            )
-            svdHelper(curMatrix, USV, m, n, epsilon)
-        }
-        return Triple(resU.transpose(), resS, resV.transpose())
+        tensor.matrixSequence()
+            .zip(uTensor.matrixSequence()
+                .zip(sTensor.vectorSequence()
+                    .zip(vTensor.matrixSequence()))).forEach { (matrix, USV) ->
+                val matrixSize = matrix.shape.reduce { acc, i -> acc * i }
+                val curMatrix = DoubleTensor(
+                    matrix.shape,
+                    matrix.mutableBuffer.array().slice(matrix.bufferStart until matrix.bufferStart + matrixSize)
+                        .toDoubleArray()
+                )
+                svdHelper(curMatrix, USV, m, n, epsilon)
+            }
+
+        return Triple(uTensor.transpose(), sTensor, vTensor.transpose())
     }
 
     override fun TensorStructure<Double>.symEig(): Pair<DoubleTensor, DoubleTensor> =
@@ -127,7 +134,7 @@ public object DoubleLinearOpsTensorAlgebra :
             cleanSymHelper(matrix.as2D(), n)
 
         val eig = (utv dot s.view(shp)).view(s.shape)
-        return Pair(eig, v)
+        return eig to v
     }
 
     public fun TensorStructure<Double>.detLU(epsilon: Double = 1e-9): DoubleTensor {