diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/RealTensorAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/RealTensorAlgebra.kt
index 9e040fcd8..f91f44519 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/RealTensorAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/RealTensorAlgebra.kt
@@ -35,7 +35,10 @@ public class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealTensor
     }
 
     override fun zeroesLike(other: RealTensor): RealTensor {
-        TODO("Not yet implemented")
+        // TODO refactor very bad!!!
+        val shape = other.shape
+        val buffer = DoubleArray(other.buffer.size) { 0.0 }
+        return RealTensor(shape, buffer)
     }
 
     override fun ones(shape: IntArray): RealTensor {
@@ -340,9 +343,30 @@ public class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealTensor
         return Pair(lu, IntTensor(intArrayOf(m), pivot))
     }
 
-    override fun luUnpack(A_LU: RealTensor, pivots: IntTensor): Triple<RealTensor, RealTensor, RealTensor> {
+    override fun luUnpack(lu: RealTensor, pivots: IntTensor): Triple<RealTensor, RealTensor, RealTensor> {
         // todo checks
+        val n = lu.shape[0]
+        val p = zeroesLike(lu)
+        pivots.buffer.array.forEachIndexed { i, pivot ->
+            p[i, pivot] = 1.0
+        }
+        val l = zeroesLike(lu)
+        val u = zeroesLike(lu)
 
+        for (i in 0 until n){
+            for (j in 0 until n){
+                if (i == j) {
+                    l[i, j] = 1.0
+                }
+                if (j < i) {
+                    l[i, j] = lu[i, j]
+                }
+                if (j >= i) {
+                    u[i, j] = lu[i, j]
+                }
+            }
+        }
+        return Triple(p, l, u)
     }
 
     override fun RealTensor.svd(): Triple<RealTensor, RealTensor, RealTensor> {