diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/StatisticTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/StatisticTensorAlgebra.kt
index e3a2a1124..d0b17af97 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/StatisticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/StatisticTensorAlgebra.kt
@@ -9,16 +9,12 @@ import space.kscience.kmath.tensors.core.DoubleTensor
 
 /**
  * Common algebra with statistics methods. Operates on [Tensor].
- *
- * @param T the type of items closed under division in the tensors.
  */
 
 public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
 
     /**
      * Returns the minimum value of all elements in the input tensor.
-     *
-     * @return the minimum value of all elements in the input tensor.
      */
     public fun Tensor<T>.min(): Double
 
@@ -37,8 +33,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
 
     /**
      * Returns the maximum value of all elements in the input tensor.
-     *
-     * @return the maximum value of all elements in the input tensor.
      */
     public fun Tensor<T>.max(): Double
 
@@ -57,8 +51,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
 
     /**
      * Returns the sum of all elements in the input tensor.
-     *
-     * @return the sum of all elements in the input tensor.
      */
     public fun Tensor<T>.sum(): Double
 
@@ -77,8 +69,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
 
     /**
      * Returns the mean of all elements in the input tensor.
-     *
-     * @return the mean of all elements in the input tensor.
      */
     public fun Tensor<T>.mean(): Double
 
@@ -97,8 +87,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
 
     /**
      * Returns the standard deviation of all elements in the input tensor.
-     *
-     * @return the standard deviation of all elements in the input tensor.
      */
     public fun Tensor<T>.std(): Double
 
@@ -117,8 +105,6 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
 
     /**
      * Returns the variance of all elements in the input tensor.
-     *
-     * @return the variance of all elements in the input tensor.
      */
     public fun Tensor<T>.variance(): Double
 
@@ -134,4 +120,5 @@ public interface StatisticTensorAlgebra<T>: TensorAlgebra<T> {
      * @return the variance of each row of the input tensor in the given dimension [dim].
      */
     public fun Tensor<T>.variance(dim: Int, keepDim: Boolean): DoubleTensor
-}
\ No newline at end of file
+
+}
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleStatisticTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleStatisticTensorAlgebra.kt
index 3914a0dfb..b455aff48 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleStatisticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/DoubleStatisticTensorAlgebra.kt
@@ -17,9 +17,8 @@ import space.kscience.kmath.tensors.core.algebras.DoubleStatisticTensorAlgebra.v
 
 public object DoubleStatisticTensorAlgebra : StatisticTensorAlgebra<Double>, DoubleTensorAlgebra() {
 
-    private fun Tensor<Double>.fold(foldFunction: (DoubleArray) -> Double): Double {
-        return foldFunction(this.tensor.toDoubleArray())
-    }
+    private fun Tensor<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
+        foldFunction(this.tensor.toDoubleArray())
 
     private fun Tensor<Double>.foldDim(
         foldFunction: (DoubleArray) -> Double,
@@ -102,4 +101,4 @@ public object DoubleStatisticTensorAlgebra : StatisticTensorAlgebra<Double>, Dou
         keepDim
     )
 
-}
\ No newline at end of file
+}