.github/workflows/publish.yml

@@ -44,11 +44,9 @@ jobs:
         run: >
           ./gradlew release --no-daemon -Ppublishing.enabled=true -Ppublishing.space.user=${{ secrets.SPACE_APP_ID }}
           -Ppublishing.space.token=${{ secrets.SPACE_APP_SECRET }}
-          -Ppublishing.sonatype=false
       - name: Publish Mac Artifacts
         if: matrix.os == 'macOS-latest'
         run: >
           ./gradlew release --no-daemon -Ppublishing.enabled=true -Ppublishing.platform=macosX64
           -Ppublishing.space.user=${{ secrets.SPACE_APP_ID }}
           -Ppublishing.space.token=${{ secrets.SPACE_APP_SECRET }}
-          -Ppublishing.sonatype=false

README.md

@@ -132,7 +132,7 @@ KMath is a modular library. Different modules provide different features with di
 objects to the expression by providing a context. Expressions can be used for a wide variety of purposes from high 
 performance calculations to code generation.
 > - [domains](kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains) : Domains
-> - [autodif](kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
+> - [autodiff](kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
 
 <hr/>
 
@@ -222,8 +222,8 @@ One can still use generic algebras though.
 > **Maturity**: EXPERIMENTAL
 >
 > **Features:**
-> - [differentiable-mst-expression](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : MST based DifferentiableExpression.
+> - [differentiable-mst-expression](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt) : MST based DifferentiableExpression.
-> - [differentiable-mst-expression](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : Conversions between Kotlin∇'s SFun and MST
+> - [scalars-adapters](kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt) : Conversions between Kotlin∇'s SFun and MST
 
 <hr/>
 
@@ -264,7 +264,7 @@ One can still use generic algebras though.
 >
 > **Features:**
 > - [tensor algebra](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt) : Basic linear algebra operations on tensors (plus, dot, etc.)
-> - [tensor algebra with broadcasting](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/BroadcastDoubleTensorAlgebra.kt) : Basic linear algebra operations implemented with broadcasting.
+> - [tensor algebra with broadcasting](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt) : Basic linear algebra operations implemented with broadcasting.
 > - [linear algebra operations](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt) : Advanced linear algebra operations like LU decomposition, SVD, etc.
 
 <hr/>

kmath-kotlingrad/README.md

@@ -2,8 +2,8 @@
 
 [Kotlin∇](https://www.htmlsymbols.xyz/unicode/U+2207) integration module.
 
- - [differentiable-mst-expression](src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : MST based DifferentiableExpression.
+ - [differentiable-mst-expression](src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt) : MST based DifferentiableExpression.
- - [differentiable-mst-expression](src/main/kotlin/space/kscience/kmath/kotlingrad/DifferentiableMstExpression.kt) : Conversions between Kotlin∇'s SFun and MST
+ - [scalars-adapters](src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt) : Conversions between Kotlin∇'s SFun and MST
 
 
 ## Artifact:

settings.gradle.kts

@@ -5,7 +5,7 @@ pluginManagement {
         gradlePluginPortal()
     }
 
-    val toolsVersion = "0.10.1"
+    val toolsVersion = "0.10.2"
     val kotlinVersion = "1.5.21"
 
     plugins {