From 1695fc5075712c1c89121c0860c7c1e985737dbf Mon Sep 17 00:00:00 2001
From: Roland Grinis <roland.grinis@grinisrit.com>
Date: Fri, 30 Apr 2021 15:25:45 +0100
Subject: [PATCH] Fix examples

---
 .../space/kscience/kmath/tensors/LinearSystemSolvingWithLUP.kt | 3 ++-
 .../src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt | 3 ++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/LinearSystemSolvingWithLUP.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/LinearSystemSolvingWithLUP.kt
index 38d8c1437..a84224bcf 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/LinearSystemSolvingWithLUP.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/LinearSystemSolvingWithLUP.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.tensors
 
+import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.tensors.core.DoubleTensor
 import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
 
@@ -13,7 +14,7 @@ import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
 fun main () {
 
     // work in context with linear operations
-    DoubleLinearOpsTensorAlgebra {
+    DoubleLinearOpsTensorAlgebra.invoke {
 
         // set true value of x
         val trueX = fromArray(
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt
index 9318fe928..0408bba63 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.tensors
 
+import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.tensors.core.DoubleTensor
 import space.kscience.kmath.tensors.core.algebras.DoubleAnalyticTensorAlgebra
 import space.kscience.kmath.tensors.core.algebras.DoubleLinearOpsTensorAlgebra
@@ -18,7 +19,7 @@ fun main() {
     val randSeed = 100500L
 
     // work in context with linear operations
-    DoubleLinearOpsTensorAlgebra {
+    DoubleLinearOpsTensorAlgebra.invoke {
         // take coefficient vector from normal distribution
         val alpha = randNormal(
             intArrayOf(5),