README.md

@@ -1,9 +1,8 @@
 [![JetBrains Research](https://jb.gg/badges/research.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
 [![DOI](https://zenodo.org/badge/129486382.svg)](https://zenodo.org/badge/latestdoi/129486382)
-
 ![Gradle build](https://github.com/mipt-npm/kmath/workflows/Gradle%20build/badge.svg)
-
-[![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22%20AND%20a:%22kmath-core%22)
+[![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22)
+[![Space](https://img.shields.io/maven-metadata/v?label=Space&metadataUrl=https%3A%2F%2Fmaven.pkg.jetbrains.space%2Fmipt-npm%2Fp%2Fsci%2Fmaven%2Fkscience%2Fkmath%2Fkmath-core%2Fmaven-metadata.xml)](https://maven.pkg.jetbrains.space/mipt-npm/p/sci/maven/space/kscience/)
 
 # KMath
 
@@ -120,9 +119,9 @@ KMath is a modular library. Different modules provide different features with di
 >
 > **Features:**
 > - [algebras](kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields.
-> - [nd](kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt) : Many-dimensional structures and operations on them.
+> - [nd](kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/StructureND.kt) : Many-dimensional structures and operations on them.
 > - [linear](kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt) : Basic linear algebra operations (sums, products, etc.), backed by the `Space` API. Advanced linear algebra operations like matrix inversion and LU decomposition.
-> - [buffers](kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt) : One-dimensional structure
+> - [buffers](kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
 > - [expressions](kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions) : By writing a single mathematical expression once, users will be able to apply different types of 
 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.
@@ -147,6 +146,12 @@ performance calculations to code generation.
 > 
 >
 > **Maturity**: PROTOTYPE
+>
+> **Features:**
+> - [ejml-vector](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt) : The Point implementation using SimpleMatrix.
+> - [ejml-matrix](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt) : The Matrix implementation using SimpleMatrix.
+> - [ejml-linear-space](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt) : The LinearSpace implementation using SimpleMatrix.
+
 <hr/>
 
 * ### [kmath-for-real](kmath-for-real)
@@ -206,9 +211,9 @@ One can still use generic algebras though.
 > **Maturity**: EXPERIMENTAL
 >
 > **Features:**
-> - [nd4jarraystructure](kmath-nd4j/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt) : NDStructure wrapper for INDArray
-> - [nd4jarrayrings](kmath-nd4j/src/commonMain/kotlin/space/kscience/kmath/structures/NDStructure.kt) : Rings over Nd4jArrayStructure of Int and Long
-> - [nd4jarrayfields](kmath-nd4j/src/commonMain/kotlin/space/kscience/kmath/structures/Buffers.kt) : Fields over Nd4jArrayStructure of Float and Double
+> - [nd4jarraystructure](kmath-nd4j/#) : NDStructure wrapper for INDArray
+> - [nd4jarrayrings](kmath-nd4j/#) : Rings over Nd4jArrayStructure of Int and Long
+> - [nd4jarrayfields](kmath-nd4j/#) : Fields over Nd4jArrayStructure of Float and Double
 
 <hr/>
 

build.gradle.kts

@@ -1,3 +1,7 @@
+import org.jetbrains.dokka.gradle.DokkaTask
+import ru.mipt.npm.gradle.KSciencePublishingPlugin
+import java.net.URL
+
 plugins {
     id("ru.mipt.npm.gradle.project")
 }
@@ -7,7 +11,6 @@ allprojects {
         jcenter()
         maven("https://clojars.org/repo")
         maven("https://dl.bintray.com/egor-bogomolov/astminer/")
-        maven("https://dl.bintray.com/hotkeytlt/maven")
         maven("https://dl.bintray.com/kotlin/kotlin-eap")
         maven("https://dl.bintray.com/kotlin/kotlinx")
         maven("https://dl.bintray.com/mipt-npm/dev")
@@ -22,7 +25,28 @@ allprojects {
 }
 
 subprojects {
-    if (name.startsWith("kmath")) apply(plugin = "maven-publish")
+    if (name.startsWith("kmath")) apply<KSciencePublishingPlugin>()
+
+    afterEvaluate {
+        tasks.withType<DokkaTask> {
+            dokkaSourceSets.all {
+                val readmeFile = File(this@subprojects.projectDir, "./README.md")
+                if (readmeFile.exists())
+                    includes.setFrom(includes + readmeFile.absolutePath)
+
+                arrayOf(
+                    "http://ejml.org/javadoc/",
+                    "https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/",
+                    "https://deeplearning4j.org/api/latest/"
+                ).map { URL("${it}package-list") to URL(it) }.forEach { (a, b) ->
+                    externalDocumentationLink {
+                        packageListUrl.set(a)
+                        url.set(b)
+                    }
+                }
+            }
+        }
+    }
 }
 
 readme {

docs/templates/ARTIFACT-TEMPLATE.md

@@ -1,34 +1,28 @@
-> #### Artifact:
->
-> This module artifact: `${group}:${name}:${version}`.
->
-> Bintray release version:        [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/${name}/images/download.svg) ](https://bintray.com/mipt-npm/kscience/${name}/_latestVersion)
->
-> Bintray development version:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/${name}/images/download.svg) ](https://bintray.com/mipt-npm/dev/${name}/_latestVersion)
->
-> **Gradle:**
->
-> ```gradle
-> repositories {
->     maven { url 'https://repo.kotlin.link' }
->     maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
->     maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
-> }
-> 
-> dependencies {
->     implementation '${group}:${name}:${version}'
-> }
-> ```
-> **Gradle Kotlin DSL:**
->
-> ```kotlin
-> repositories {
->     maven("https://repo.kotlin.link")
->     maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
->     maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
-> }
-> 
-> dependencies {
->     implementation("${group}:${name}:${version}")
-> }
-> ```
+## Artifact:
+
+The Maven coordinates of this project are `${group}:${name}:${version}`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation '${group}:${name}:${version}'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("${group}:${name}:${version}")
+}
+```

docs/templates/README-TEMPLATE.md

@@ -1,9 +1,8 @@
 [![JetBrains Research](https://jb.gg/badges/research.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
 [![DOI](https://zenodo.org/badge/129486382.svg)](https://zenodo.org/badge/latestdoi/129486382)
-
 ![Gradle build](https://github.com/mipt-npm/kmath/workflows/Gradle%20build/badge.svg)
-
-[![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22%20AND%20a:%22kmath-core%22)
+[![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22)
+[![Space](https://img.shields.io/maven-metadata/v?label=Space&metadataUrl=https%3A%2F%2Fmaven.pkg.jetbrains.space%2Fmipt-npm%2Fp%2Fsci%2Fmaven%2Fkscience%2Fkmath%2Fkmath-core%2Fmaven-metadata.xml)](https://maven.pkg.jetbrains.space/mipt-npm/p/sci/maven/space/kscience/)
 
 # KMath
 

gradle.properties

@@ -4,5 +4,5 @@ kotlin.mpp.stability.nowarn=true
 kotlin.native.enableDependencyPropagation=false
 kotlin.parallel.tasks.in.project=true
 org.gradle.configureondemand=true
-org.gradle.jvmargs=-XX:MaxMetaspaceSize=2G
+org.gradle.jvmargs=-XX:MaxMetaspaceSize=9G
 org.gradle.parallel=true

kmath-ast/README.md

@@ -1,6 +1,6 @@
-# Abstract Syntax Tree Expression Representation and Operations (`kmath-ast`)
+# Module kmath-ast
 
-This subproject implements the following features:
+Abstract syntax tree expression representation and related optimizations.
 
  - [expression-language](src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser
  - [mst](src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation
@@ -10,40 +10,34 @@ This subproject implements the following features:
  - [mst-js-codegen](src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler
 
 
-> #### Artifact:
->
-> This module artifact: `space.kscience:kmath-ast:0.3.0-dev-3`.
->
-> Bintray release version:        [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-ast/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-ast/_latestVersion)
->
-> Bintray development version:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-ast/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-ast/_latestVersion)
->
-> **Gradle:**
->
-> ```gradle
-> repositories {
->     maven { url 'https://repo.kotlin.link' }
->     maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
->     maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
-> }
-> 
-> dependencies {
->     implementation 'space.kscience:kmath-ast:0.3.0-dev-3'
-> }
-> ```
-> **Gradle Kotlin DSL:**
->
-> ```kotlin
-> repositories {
->     maven("https://repo.kotlin.link")
->     maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
->     maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
-> }
-> 
-> dependencies {
->     implementation("space.kscience:kmath-ast:0.3.0-dev-3")
-> }
-> ```
+## Artifact:
+
+The Maven coordinates of this project are `space.kscience:kmath-ast:0.3.0-dev-3`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation 'space.kscience:kmath-ast:0.3.0-dev-3'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("space.kscience:kmath-ast:0.3.0-dev-3")
+}
+```
 
 ## Dynamic expression code generation
 
@@ -58,7 +52,7 @@ For example, the following builder:
 DoubleField.mstInField { symbol("x") + 2 }.compile()
 ``` 
 
-… leads to generation of bytecode, which can be decompiled to the following Java class:
+… leads to generation of bytecode, which can be decompiled to the following Java class:
 
 ```java
 package space.kscience.kmath.asm.generated;

kmath-ast/docs/README-TEMPLATE.md

@@ -1,6 +1,6 @@
-# Abstract Syntax Tree Expression Representation and Operations (`kmath-ast`)
+# Module kmath-ast
 
-This subproject implements the following features:
+Abstract syntax tree expression representation and related optimizations.
 
 ${features}
 

kmath-complex/README.md

@@ -1,42 +1,36 @@
-# The Core Module (`kmath-core`)
+# Module kmath-complex
 
-Complex and hypercomplex number systems in KMath:
+Complex and hypercomplex number systems in KMath.
 
  - [complex](src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt) : Complex Numbers
  - [quaternion](src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt) : Quaternions
 
 
-> #### Artifact:
->
-> This module artifact: `space.kscience:kmath-complex:0.3.0-dev-3`.
->
-> Bintray release version:        [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-complex/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-complex/_latestVersion)
->
-> Bintray development version:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-complex/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-complex/_latestVersion)
->
-> **Gradle:**
->
-> ```gradle
-> repositories {
->     maven { url 'https://repo.kotlin.link' }
->     maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
->     maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
-> }
-> 
-> dependencies {
->     implementation 'space.kscience:kmath-complex:0.3.0-dev-3'
-> }
-> ```
-> **Gradle Kotlin DSL:**
->
-> ```kotlin
-> repositories {
->     maven("https://repo.kotlin.link")
->     maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
->     maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
-> }
-> 
-> dependencies {
->     implementation("space.kscience:kmath-complex:0.3.0-dev-3")
-> }
-> ```
+## Artifact:
+
+The Maven coordinates of this project are `space.kscience:kmath-complex:0.3.0-dev-3`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation 'space.kscience:kmath-complex:0.3.0-dev-3'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("space.kscience:kmath-complex:0.3.0-dev-3")
+}
+```

kmath-complex/docs/README-TEMPLATE.md

@@ -1,6 +1,6 @@
-# The Core Module (`kmath-core`)
+# Module kmath-complex
 
-Complex and hypercomplex number systems in KMath:
+Complex and hypercomplex number systems in KMath.
 
 ${features}
 

kmath-core/README.md

@@ -1,9 +1,9 @@
-# The Core Module (`kmath-core`)
+# Module kmath-core
 
-The core features of KMath:
+The core interfaces of KMath.
 
  - [algebras](src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields.
- - [nd](src/commonMain/kotlin/space/kscience/kmath/structures/NDStructure.kt) : Many-dimensional structures and operations on them.
+ - [nd](src/commonMain/kotlin/space/kscience/kmath/structures/StructureND.kt) : Many-dimensional structures and operations on them.
  - [linear](src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt) : Basic linear algebra operations (sums, products, etc.), backed by the `Space` API. Advanced linear algebra operations like matrix inversion and LU decomposition.
  - [buffers](src/commonMain/kotlin/space/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
  - [expressions](src/commonMain/kotlin/space/kscience/kmath/expressions) : By writing a single mathematical expression once, users will be able to apply different types of 
@@ -13,37 +13,31 @@ performance calculations to code generation.
  - [autodif](src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
 
 
-> #### Artifact:
->
-> This module artifact: `space.kscience:kmath-core:0.3.0-dev-3`.
->
-> Bintray release version:        [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-core/_latestVersion)
->
-> Bintray development version:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-core/_latestVersion)
->
-> **Gradle:**
->
-> ```gradle
-> repositories {
->     maven { url 'https://repo.kotlin.link' }
->     maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
->     maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
-> }
-> 
-> dependencies {
->     implementation 'space.kscience:kmath-core:0.3.0-dev-3'
-> }
-> ```
-> **Gradle Kotlin DSL:**
->
-> ```kotlin
-> repositories {
->     maven("https://repo.kotlin.link")
->     maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
->     maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
-> }
-> 
-> dependencies {
->     implementation("space.kscience:kmath-core:0.3.0-dev-3")
-> }
-> ```
+## Artifact:
+
+The Maven coordinates of this project are `space.kscience:kmath-core:0.3.0-dev-3`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation 'space.kscience:kmath-core:0.3.0-dev-3'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("space.kscience:kmath-core:0.3.0-dev-3")
+}
+```

kmath-core/docs/README-TEMPLATE.md

@@ -1,6 +1,6 @@
-# The Core Module (`kmath-core`)
+# Module kmath-core
 
-The core features of KMath:
+The core interfaces of KMath.
 
 ${features}
 

kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt

@@ -24,7 +24,6 @@ import space.kscience.kmath.misc.UnstableKMathAPI
  */
 @UnstableKMathAPI
 public interface DoubleDomain : Domain<Double> {
-
     /**
      * Global lower edge
      * @param num axis number

kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt

@@ -3,7 +3,10 @@ package space.kscience.kmath.linear
 import space.kscience.kmath.nd.as1D
 
 /**
- * A group of methods to resolve equation A dot X = B, where A and B are matrices or vectors
+ * A group of methods to solve for *X* in equation *X = A <sup>-1</sup> &middot; B*, where *A* and *B* are matrices or
+ * vectors.
+ *
+ * @param T the type of items.
  */
 public interface LinearSolver<T : Any> {
     /**
@@ -23,7 +26,7 @@ public interface LinearSolver<T : Any> {
 }
 
 /**
- * Convert matrix to vector if it is possible
+ * Convert matrix to vector if it is possible.
  */
 public fun <T : Any> Matrix<T>.asVector(): Point<T> =
     if (this.colNum == 1)
@@ -31,4 +34,11 @@ public fun <T : Any> Matrix<T>.asVector(): Point<T> =
     else
         error("Can't convert matrix with more than one column to vector")
 
+/**
+ * Creates an n &times; 1 [VirtualMatrix], where n is the size of the given buffer.
+ *
+ * @param T the type of elements contained in the buffer.
+ * @receiver a buffer.
+ * @return the new matrix.
+ */
 public fun <T : Any> Point<T>.asMatrix(): VirtualMatrix<T> = VirtualMatrix(size, 1) { i, _ -> get(i) }

kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt

@@ -17,6 +17,8 @@ public typealias Matrix<T> = Structure2D<T>
 
 /**
  * Alias or using [Buffer] as a point/vector in a many-dimensional space.
+ *
+ * @param T the type of elements contained in the buffer.
  */
 public typealias Point<T> = Buffer<T>
 

kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/XYPointSet.kt

@@ -3,9 +3,28 @@ package space.kscience.kmath.misc
 import space.kscience.kmath.nd.Structure2D
 import space.kscience.kmath.structures.Buffer
 
+/**
+ * Pair of associated buffers for X and Y axes values.
+ *
+ * @param X the type of X values.
+ * @param Y the type of Y values.
+ */
+public interface XYPointSet<X, Y> {
+    /**
+     * The size of all the involved buffers.
+     */
+    public val size: Int
+
+    /**
+     * The buffer of X values.
+     */
 @UnstableKMathAPI
 public interface XYPointSet<T, X : T, Y : T> : ColumnarData<T> {
     public val x: Buffer<X>
+
+    /**
+     * The buffer of Y values.
+     */
     public val y: Buffer<Y>
 
     override fun get(symbol: Symbol): Buffer<T> = when (symbol) {
@@ -15,6 +34,17 @@ public interface XYPointSet<T, X : T, Y : T> : ColumnarData<T> {
     }
 }
 
+/**
+ * Triple of associated buffers for X, Y, and Z axes values.
+ *
+ * @param X the type of X values.
+ * @param Y the type of Y values.
+ * @param Z the type of Z values.
+ */
+public interface XYZPointSet<X, Y, Z> : XYPointSet<X, Y> {
+    /**
+     * The buffer of Z values.
+     */
 @UnstableKMathAPI
 public interface XYZPointSet<T, X : T, Y : T, Z : T> : XYPointSet<T, X, Y> {
     public val z: Buffer<Z>
@@ -27,6 +57,10 @@ public interface XYZPointSet<T, X : T, Y : T, Z : T> : XYPointSet<T, X, Y> {
     }
 }
 
+internal fun <T : Comparable<T>> insureSorted(points: XYPointSet<T, *>) {
+    for (i in 0 until points.size - 1)
+        require(points.x[i + 1] > points.x[i]) { "Input data is not sorted at index $i" }
+}
 
 public class NDStructureColumn<T>(public val structure: Structure2D<T>, public val column: Int) : Buffer<T> {
     public override val size: Int

kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/cumulative.kt

@@ -37,8 +37,8 @@ public fun <T, R> List<T>.cumulative(initial: R, operation: (R, T) -> R): List<R
 /**
  * Cumulative sum with custom space
  */
-public fun <T> Iterable<T>.cumulativeSum(space: Group<T>): Iterable<T> =
-    space { cumulative(zero) { element: T, sum: T -> sum + element } }
+public fun <T> Iterable<T>.cumulativeSum(group: Group<T>): Iterable<T> =
+    group { cumulative(zero) { element: T, sum: T -> sum + element } }
 
 @JvmName("cumulativeSumOfDouble")
 public fun Iterable<Double>.cumulativeSum(): Iterable<Double> = cumulative(0.0) { element, sum -> sum + element }
@@ -49,8 +49,8 @@ public fun Iterable<Int>.cumulativeSum(): Iterable<Int> = cumulative(0) { elemen
 @JvmName("cumulativeSumOfLong")
 public fun Iterable<Long>.cumulativeSum(): Iterable<Long> = cumulative(0L) { element, sum -> sum + element }
 
-public fun <T> Sequence<T>.cumulativeSum(space: Group<T>): Sequence<T> =
-    space { cumulative(zero) { element: T, sum: T -> sum + element } }
+public fun <T> Sequence<T>.cumulativeSum(group: Group<T>): Sequence<T> =
+    group { cumulative(zero) { element: T, sum: T -> sum + element } }
 
 @JvmName("cumulativeSumOfDouble")
 public fun Sequence<Double>.cumulativeSum(): Sequence<Double> = cumulative(0.0) { element, sum -> sum + element }
@@ -61,8 +61,8 @@ public fun Sequence<Int>.cumulativeSum(): Sequence<Int> = cumulative(0) { elemen
 @JvmName("cumulativeSumOfLong")
 public fun Sequence<Long>.cumulativeSum(): Sequence<Long> = cumulative(0L) { element, sum -> sum + element }
 
-public fun <T> List<T>.cumulativeSum(space: Group<T>): List<T> =
-    space { cumulative(zero) { element: T, sum: T -> sum + element } }
+public fun <T> List<T>.cumulativeSum(group: Group<T>): List<T> =
+    group { cumulative(zero) { element: T, sum: T -> sum + element } }
 
 @JvmName("cumulativeSumOfDouble")
 public fun List<Double>.cumulativeSum(): List<Double> = cumulative(0.0) { element, sum -> sum + element }

kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt

@@ -100,8 +100,8 @@ public fun <T : Any> Algebra<T>.bindSymbol(symbol: Symbol): T = bindSymbol(symbo
 public inline operator fun <A : Algebra<*>, R> A.invoke(block: A.() -> R): R = run(block)
 
 /**
- * Represents linear space without neutral element, i.e. algebraic structure with associative, binary operation [add]
- * and scalar multiplication [multiply].
+ * Represents group without neutral element (also known as inverse semigroup), i.e. algebraic structure with
+ * associative, binary operation [add].
  *
  * @param T the type of element of this semispace.
  */
@@ -177,7 +177,7 @@ public interface GroupOperations<T> : Algebra<T> {
 }
 
 /**
- * Represents linear space with neutral element, i.e. algebraic structure with associative, binary operation [add].
+ * Represents group, i.e. algebraic structure with associative, binary operation [add].
  *
  * @param T the type of element of this semispace.
  */
@@ -189,8 +189,8 @@ public interface Group<T> : GroupOperations<T> {
 }
 
 /**
- * Represents rng, i.e. algebraic structure with associative, binary, commutative operation [add] and associative,
- * operation [multiply] distributive over [add].
+ * Represents ring without multiplicative and additive identities, i.e. algebraic structure with
+ * associative, binary, commutative operation [add] and associative, operation [multiply] distributive over [add].
  *
  * @param T the type of element of this semiring.
  */
@@ -238,7 +238,7 @@ public interface Ring<T> : Group<T>, RingOperations<T> {
 }
 
 /**
- * Represents field without identity elements, i.e. algebraic structure with associative, binary, commutative operations
+ * Represents field without without multiplicative and additive identities, i.e. algebraic structure with associative, binary, commutative operations
  * [add] and [multiply]; binary operation [divide] as multiplication of left operand by reciprocal of right one.
  *
  * @param T the type of element of this semifield.
@@ -276,10 +276,11 @@ public interface FieldOperations<T> : RingOperations<T> {
 }
 
 /**
- * Represents field, i.e. algebraic structure with three operations: associative "addition" and "multiplication",
- * and "division" and their neutral elements.
+ * Represents field, i.e. algebraic structure with three operations: associative, commutative addition and
+ * multiplication, and division. **This interface differs from the eponymous mathematical definition: fields in KMath
+ * also support associative multiplication by scalar.**
  *
- * @param T the type of element of this semifield.
+ * @param T the type of element of this field.
  */
 public interface Field<T> : Ring<T>, FieldOperations<T>, ScaleOperations<T>, NumericAlgebra<T> {
     override fun number(value: Number): T = scale(one, value.toDouble())

kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt

@@ -12,8 +12,8 @@ import kotlin.math.max
 import kotlin.math.min
 import kotlin.math.sign
 
-public typealias Magnitude = UIntArray
-public typealias TBase = ULong
+private typealias Magnitude = UIntArray
+private typealias TBase = ULong
 
 /**
  * Kotlin Multiplatform implementation of Big Integer numbers (KBigInteger).
@@ -358,6 +358,9 @@ private fun stripLeadingZeros(mag: Magnitude): Magnitude {
     return mag.sliceArray(IntRange(0, resSize))
 }
 
+/**
+ * Returns the absolute value of the given value [x].
+ */
 public fun abs(x: BigInt): BigInt = x.abs()
 
 /**

kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt

@@ -49,19 +49,19 @@ public fun <T : Comparable<T>> Group<T>.abs(value: T): T = if (value > zero) val
  * Returns the sum of all elements in the iterable in provided space.
  *
  * @receiver the collection to sum up.
- * @param space the algebra that provides addition.
+ * @param group the algebra that provides addition.
  * @return the sum.
  */
-public fun <T> Iterable<T>.sumWith(space: Group<T>): T = space.sum(this)
+public fun <T> Iterable<T>.sumWith(group: Group<T>): T = group.sum(this)
 
 /**
  * Returns the sum of all elements in the sequence in provided space.
  *
  * @receiver the collection to sum up.
- * @param space the algebra that provides addition.
+ * @param group the algebra that provides addition.
  * @return the sum.
  */
-public fun <T> Sequence<T>.sumWith(space: Group<T>): T = space.sum(this)
+public fun <T> Sequence<T>.sumWith(group: Group<T>): T = group.sum(this)
 
 /**
  * Returns an average value of elements in the iterable in this [Group].

kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/flowExtra.kt

@@ -14,7 +14,7 @@ public fun <T> Flow<T>.cumulativeSum(group: GroupOperations<T>): Flow<T> =
     group { runningReduce { sum, element -> sum + element } }
 
 @ExperimentalCoroutinesApi
-public fun <T, S> Flow<T>.mean(algebra: S): Flow<T> where S : Group<T>, S : ScaleOperations<T> = algebra {
+public fun <T, S> Flow<T>.mean(space: S): Flow<T> where S : Group<T>, S : ScaleOperations<T> = space {
     data class Accumulator(var sum: T, var num: Int)
 
     scan(Accumulator(zero, 0)) { sum, element ->

kmath-ejml/README.md

@@ -0,0 +1,37 @@
+# Module kmath-ejml
+
+EJML based linear algebra implementation.
+
+ - [ejml-vector](src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt) : The Point implementation using SimpleMatrix.
+ - [ejml-matrix](src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt) : The Matrix implementation using SimpleMatrix.
+ - [ejml-linear-space](src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt) : The LinearSpace implementation using SimpleMatrix.
+
+
+## Artifact:
+
+The Maven coordinates of this project are `space.kscience:kmath-ejml:0.3.0-dev-3`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation 'space.kscience:kmath-ejml:0.3.0-dev-3'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("space.kscience:kmath-ejml:0.3.0-dev-3")
+}
+```

kmath-ejml/build.gradle.kts

@@ -1,12 +1,33 @@
+import ru.mipt.npm.gradle.Maturity
+
 plugins {
     id("ru.mipt.npm.gradle.jvm")
 }
 
 dependencies {
-    implementation("org.ejml:ejml-simple:0.39")
-    implementation(project(":kmath-core"))
+    api("org.ejml:ejml-simple:0.40")
+    api(project(":kmath-core"))
 }
 
 readme {
-    maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE
+    maturity = Maturity.PROTOTYPE
+    propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
+
+    feature(
+        id = "ejml-vector",
+        description = "The Point implementation using SimpleMatrix.",
+        ref = "src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt"
+    )
+
+    feature(
+        id = "ejml-matrix",
+        description = "The Matrix implementation using SimpleMatrix.",
+        ref = "src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt"
+    )
+
+    feature(
+        id = "ejml-linear-space",
+        description = "The LinearSpace implementation using SimpleMatrix.",
+        ref = "src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt"
+    )
 }

kmath-ejml/docs/README-TEMPLATE.md

@@ -0,0 +1,7 @@
+# Module kmath-ejml
+
+EJML based linear algebra implementation.
+
+${features}
+
+${artifact}

kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt

@@ -15,10 +15,13 @@ import kotlin.reflect.cast
  * Represents context of basic operations operating with [EjmlMatrix].
  *
  * @author Iaroslav Postovalov
+ * @author Alexander Nozik
  */
 public object EjmlLinearSpace : LinearSpace<Double, DoubleField> {
-
-    override val elementAlgebra: DoubleField get() = DoubleField
+    /**
+     * The [DoubleField] reference.
+     */
+    public override val elementAlgebra: DoubleField get() = DoubleField
 
     /**
      * Converts this matrix to EJML one.
@@ -39,14 +42,17 @@ public object EjmlLinearSpace : LinearSpace<Double, DoubleField> {
         })
     }
 
-    override fun buildMatrix(rows: Int, columns: Int, initializer: DoubleField.(i: Int, j: Int) -> Double): EjmlMatrix =
-        EjmlMatrix(SimpleMatrix(rows, columns).also {
-            (0 until rows).forEach { row ->
-                (0 until columns).forEach { col -> it[row, col] = DoubleField.initializer(row, col) }
-            }
-        })
+    public override fun buildMatrix(
+        rows: Int,
+        columns: Int,
+        initializer: DoubleField.(i: Int, j: Int) -> Double,
+    ): EjmlMatrix = EjmlMatrix(SimpleMatrix(rows, columns).also {
+        (0 until rows).forEach { row ->
+            (0 until columns).forEach { col -> it[row, col] = DoubleField.initializer(row, col) }
+        }
+    })
 
-    override fun buildVector(size: Int, initializer: DoubleField.(Int) -> Double): Point<Double> =
+    public override fun buildVector(size: Int, initializer: DoubleField.(Int) -> Double): Point<Double> =
         EjmlVector(SimpleMatrix(size, 1).also {
             (0 until it.numRows()).forEach { row -> it[row, 0] = DoubleField.initializer(row) }
         })
@@ -54,7 +60,7 @@ public object EjmlLinearSpace : LinearSpace<Double, DoubleField> {
     private fun SimpleMatrix.wrapMatrix() = EjmlMatrix(this)
     private fun SimpleMatrix.wrapVector() = EjmlVector(this)
 
-    override fun Matrix<Double>.unaryMinus(): Matrix<Double> = this * (-1.0)
+    public override fun Matrix<Double>.unaryMinus(): Matrix<Double> = this * (-1.0)
 
     public override fun Matrix<Double>.dot(other: Matrix<Double>): EjmlMatrix =
         EjmlMatrix(toEjml().origin.mult(other.toEjml().origin))
@@ -68,29 +74,29 @@ public object EjmlLinearSpace : LinearSpace<Double, DoubleField> {
     public override operator fun Matrix<Double>.times(value: Double): EjmlMatrix =
         toEjml().origin.scale(value).wrapMatrix()
 
-    override fun Point<Double>.unaryMinus(): EjmlVector =
+    public override fun Point<Double>.unaryMinus(): EjmlVector =
         toEjml().origin.negative().wrapVector()
 
-    override fun Matrix<Double>.plus(other: Matrix<Double>): EjmlMatrix =
+    public override fun Matrix<Double>.plus(other: Matrix<Double>): EjmlMatrix =
         (toEjml().origin + other.toEjml().origin).wrapMatrix()
 
-    override fun Point<Double>.plus(other: Point<Double>): EjmlVector =
+    public override fun Point<Double>.plus(other: Point<Double>): EjmlVector =
         (toEjml().origin + other.toEjml().origin).wrapVector()
 
-    override fun Point<Double>.minus(other: Point<Double>): EjmlVector =
+    public override fun Point<Double>.minus(other: Point<Double>): EjmlVector =
         (toEjml().origin - other.toEjml().origin).wrapVector()
 
-    override fun Double.times(m: Matrix<Double>): EjmlMatrix =
+    public override fun Double.times(m: Matrix<Double>): EjmlMatrix =
         m.toEjml().origin.scale(this).wrapMatrix()
 
-    override fun Point<Double>.times(value: Double): EjmlVector =
+    public override fun Point<Double>.times(value: Double): EjmlVector =
         toEjml().origin.scale(value).wrapVector()
 
-    override fun Double.times(v: Point<Double>): EjmlVector =
+    public override fun Double.times(v: Point<Double>): EjmlVector =
         v.toEjml().origin.scale(this).wrapVector()
 
     @UnstableKMathAPI
-    override fun <F : StructureFeature> getFeature(structure: Matrix<Double>, type: KClass<out F>): F? {
+    public override fun <F : StructureFeature> getFeature(structure: Matrix<Double>, type: KClass<out F>): F? {
         //Return the feature if it is intrinsic to the structure
         structure.getFeature(type)?.let { return it }
 
@@ -161,7 +167,7 @@ public object EjmlLinearSpace : LinearSpace<Double, DoubleField> {
 }
 
 /**
- * Solves for X in the following equation: x = a^-1*b, where 'a' is base matrix and 'b' is an n by p matrix.
+ * Solves for *x* in the following equation: *x = [a] <sup>-1</sup> &middot; [b]*.
  *
  * @param a the base matrix.
  * @param b n by p matrix.
@@ -172,7 +178,7 @@ public fun EjmlLinearSpace.solve(a: Matrix<Double>, b: Matrix<Double>): EjmlMatr
     EjmlMatrix(a.toEjml().origin.solve(b.toEjml().origin))
 
 /**
- * Solves for X in the following equation: x = a^(-1)*b, where 'a' is base matrix and 'b' is an n by p matrix.
+ * Solves for *x* in the following equation: *x = [a] <sup>-1</sup> &middot; [b]*.
  *
  * @param a the base matrix.
  * @param b n by p vector.
@@ -182,7 +188,17 @@ public fun EjmlLinearSpace.solve(a: Matrix<Double>, b: Matrix<Double>): EjmlMatr
 public fun EjmlLinearSpace.solve(a: Matrix<Double>, b: Point<Double>): EjmlVector =
     EjmlVector(a.toEjml().origin.solve(b.toEjml().origin))
 
+/**
+ * Inverts this matrix.
+ *
+ * @author Alexander Nozik
+ */
 @OptIn(UnstableKMathAPI::class)
 public fun EjmlMatrix.inverted(): EjmlMatrix = getFeature<InverseMatrixFeature<Double>>()!!.inverse as EjmlMatrix
 
+/**
+ * Inverts the given matrix.
+ *
+ * @author Alexander Nozik
+ */
 public fun EjmlLinearSpace.inverse(matrix: Matrix<Double>): Matrix<Double> = matrix.toEjml().inverted()

kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt

@@ -4,7 +4,7 @@ import org.ejml.simple.SimpleMatrix
 import space.kscience.kmath.linear.Matrix
 
 /**
- * Represents featured matrix over EJML [SimpleMatrix].
+ * The matrix implementation over EJML [SimpleMatrix].
  *
  * @property origin the underlying [SimpleMatrix].
  * @author Iaroslav Postovalov

kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt

@@ -9,7 +9,7 @@ import space.kscience.kmath.linear.Point
  * @property origin the underlying [SimpleMatrix].
  * @author Iaroslav Postovalov
  */
-public class EjmlVector internal constructor(public val origin: SimpleMatrix) : Point<Double> {
+public inline class EjmlVector internal constructor(public val origin: SimpleMatrix) : Point<Double> {
     public override val size: Int
         get() = origin.numRows()
 

kmath-for-real/README.md

@@ -1,41 +1,37 @@
-# Real number specialization module (`kmath-for-real`)
+# Module kmath-for-real
+
+Specialization of KMath APIs for Double numbers.
 
  - [DoubleVector](src/commonMain/kotlin/space/kscience/kmath/real/DoubleVector.kt) : Numpy-like operations for Buffers/Points
  - [DoubleMatrix](src/commonMain/kotlin/space/kscience/kmath/real/DoubleMatrix.kt) : Numpy-like operations for 2d real structures
  - [grids](src/commonMain/kotlin/space/kscience/kmath/structures/grids.kt) : Uniform grid generators
 
 
-> #### Artifact:
->
-> This module artifact: `space.kscience:kmath-for-real:0.3.0-dev-3`.
->
-> Bintray release version:        [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-for-real/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-for-real/_latestVersion)
->
-> Bintray development version:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-for-real/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-for-real/_latestVersion)
->
-> **Gradle:**
->
-> ```gradle
-> repositories {
->     maven { url 'https://repo.kotlin.link' }
->     maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
->     maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
-> }
-> 
-> dependencies {
->     implementation 'space.kscience:kmath-for-real:0.3.0-dev-3'
-> }
-> ```
-> **Gradle Kotlin DSL:**
->
-> ```kotlin
-> repositories {
->     maven("https://repo.kotlin.link")
->     maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
->     maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
-> }
-> 
-> dependencies {
->     implementation("space.kscience:kmath-for-real:0.3.0-dev-3")
-> }
-> ```
+## Artifact:
+
+The Maven coordinates of this project are `space.kscience:kmath-for-real:0.3.0-dev-3`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation 'space.kscience:kmath-for-real:0.3.0-dev-3'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("space.kscience:kmath-for-real:0.3.0-dev-3")
+}
+```

kmath-for-real/docs/README-TEMPLATE.md

@@ -1,4 +1,6 @@
-# Real number specialization module (`kmath-for-real`)
+# Module kmath-for-real
+
+Specialization of KMath APIs for Double numbers.
 
 ${features}
 

kmath-functions/README.md

@@ -1,6 +1,6 @@
-# Functions (`kmath-functions`)
+# Module kmath-functions
 
-Functions and interpolations:
+Functions and interpolations.
 
  - [piecewise](Piecewise functions.) : src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt
  - [polynomials](Polynomial functions.) : src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt
@@ -8,37 +8,31 @@ Functions and interpolations:
  - [spline interpolation](Cubic spline XY interpolator.) : src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt
 
 
-> #### Artifact:
->
-> This module artifact: `space.kscience:kmath-functions:0.3.0-dev-3`.
->
-> Bintray release version:        [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-functions/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-functions/_latestVersion)
->
-> Bintray development version:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-functions/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-functions/_latestVersion)
->
-> **Gradle:**
->
-> ```gradle
-> repositories {
->     maven { url 'https://repo.kotlin.link' }
->     maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
->     maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
-> }
-> 
-> dependencies {
->     implementation 'space.kscience:kmath-functions:0.3.0-dev-3'
-> }
-> ```
-> **Gradle Kotlin DSL:**
->
-> ```kotlin
-> repositories {
->     maven("https://repo.kotlin.link")
->     maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
->     maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
-> }
-> 
-> dependencies {
->     implementation("space.kscience:kmath-functions:0.3.0-dev-3")
-> }
-> ```
+## Artifact:
+
+The Maven coordinates of this project are `space.kscience:kmath-functions:0.3.0-dev-3`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation 'space.kscience:kmath-functions:0.3.0-dev-3'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("space.kscience:kmath-functions:0.3.0-dev-3")
+}
+```

kmath-functions/docs/README-TEMPLATE.md

@@ -1,6 +1,6 @@
-# Functions (`kmath-functions`)
+# Module kmath-functions
 
-Functions and interpolations:
+Functions and interpolations.
 
 ${features}
 

kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt

@@ -2,14 +2,28 @@ package space.kscience.kmath.functions
 
 import space.kscience.kmath.operations.Ring
 
+/**
+ * Represents piecewise-defined function.
+ *
+ * @param T the piece key type.
+ * @param R the sub-function type.
+ */
 public fun interface Piecewise<T, R> {
+    /**
+     * Returns the appropriate sub-function for given piece key.
+     */
     public fun findPiece(arg: T): R?
 }
 
+/**
+ * Represents piecewise-defined function where all the sub-functions are polynomials.
+ */
 public fun interface PiecewisePolynomial<T : Any> : Piecewise<T, Polynomial<T>>
 
 /**
- * Ordered list of pieces in piecewise function
+ * Basic [Piecewise] implementation where all the pieces are ordered by the [Comparable] type instances.
+ *
+ * @param T the comparable piece key type.
  */
 public class OrderedPiecewisePolynomial<T : Comparable<T>>(delimiter: T) :
     PiecewisePolynomial<T> {
@@ -17,8 +31,10 @@ public class OrderedPiecewisePolynomial<T : Comparable<T>>(delimiter: T) :
     private val pieces: MutableList<Polynomial<T>> = arrayListOf()
 
     /**
-     * Dynamically add a piece to the "right" side (beyond maximum argument value of previous piece)
-     * @param right new rightmost position. If is less then current rightmost position, a error is thrown.
+     * Dynamically adds a piece to the right side (beyond maximum argument value of previous piece)
+     *
+     * @param right new rightmost position. If is less then current rightmost position, an error is thrown.
+     * @param piece the sub-function.
      */
     public fun putRight(right: T, piece: Polynomial<T>) {
         require(right > delimiters.last()) { "New delimiter should be to the right of old one" }
@@ -26,13 +42,19 @@ public class OrderedPiecewisePolynomial<T : Comparable<T>>(delimiter: T) :
         pieces.add(piece)
     }
 
+    /**
+     * Dynamically adds a piece to the left side (beyond maximum argument value of previous piece)
+     *
+     * @param left the new leftmost position. If is less then current rightmost position, an error is thrown.
+     * @param piece the sub-function.
+     */
     public fun putLeft(left: T, piece: Polynomial<T>) {
         require(left < delimiters.first()) { "New delimiter should be to the left of old one" }
         delimiters.add(0, left)
         pieces.add(0, piece)
     }
 
-    override fun findPiece(arg: T): Polynomial<T>? {
+    public override fun findPiece(arg: T): Polynomial<T>? {
         if (arg < delimiters.first() || arg >= delimiters.last())
             return null
         else {
@@ -46,7 +68,8 @@ public class OrderedPiecewisePolynomial<T : Comparable<T>>(delimiter: T) :
 }
 
 /**
- * Return a value of polynomial function with given [ring] an given [arg] or null if argument is outside of piecewise definition.
+ * Return a value of polynomial function with given [ring] an given [arg] or null if argument is outside of piecewise
+ * definition.
  */
 public fun <T : Comparable<T>, C : Ring<T>> PiecewisePolynomial<T>.value(ring: C, arg: T): T? =
     findPiece(arg)?.value(ring, arg)

kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt

@@ -10,16 +10,26 @@ import kotlin.math.max
 import kotlin.math.pow
 
 /**
- * Polynomial coefficients without fixation on specific context they are applied to
- * @param coefficients constant is the leftmost coefficient
+ * Polynomial coefficients model without fixation on specific context they are applied to.
+ *
+ * @param coefficients constant is the leftmost coefficient.
  */
 public inline class Polynomial<T : Any>(public val coefficients: List<T>)
 
+/**
+ * Returns a [Polynomial] instance with given [coefficients].
+ */
 @Suppress("FunctionName")
 public fun <T : Any> Polynomial(vararg coefficients: T): Polynomial<T> = Polynomial(coefficients.toList())
 
+/**
+ * Evaluates the value of the given double polynomial for given double argument.
+ */
 public fun Polynomial<Double>.value(): Double = coefficients.reduceIndexed { index, acc, d -> acc + d.pow(index) }
 
+/**
+ * Evaluates the value of the given polynomial for given argument.
+ */
 public fun <T : Any, C : Ring<T>> Polynomial<T>.value(ring: C, arg: T): T = ring {
     if (coefficients.isEmpty()) return@ring zero
     var res = coefficients.first()
@@ -35,19 +45,23 @@ public fun <T : Any, C : Ring<T>> Polynomial<T>.value(ring: C, arg: T): T = ring
 }
 
 /**
- * Represent the polynomial as a regular context-less function
+ * Represent the polynomial as a regular context-less function.
  */
 public fun <T : Any, C : Ring<T>> Polynomial<T>.asFunction(ring: C): (T) -> T = { value(ring, it) }
 
 /**
- * An algebra for polynomials
+ * Space of polynomials.
+ *
+ * @param T the type of operated polynomials.
+ * @param C the intersection of [Ring] of [T] and [ScaleOperations] of [T].
+ * @param ring the [C] instance.
  */
 public class PolynomialSpace<T : Any, C>(
     private val ring: C,
 ) : Group<Polynomial<T>>, ScaleOperations<Polynomial<T>> where C : Ring<T>, C : ScaleOperations<T> {
     public override val zero: Polynomial<T> = Polynomial(emptyList())
 
-    override fun Polynomial<T>.unaryMinus(): Polynomial<T> = with(ring) {
+    override fun Polynomial<T>.unaryMinus(): Polynomial<T> = ring {
         Polynomial(coefficients.map { -it })
     }
 
@@ -64,6 +78,9 @@ public class PolynomialSpace<T : Any, C>(
     public override fun scale(a: Polynomial<T>, value: Double): Polynomial<T> =
         ring { Polynomial(List(a.coefficients.size) { index -> a.coefficients[index] * value }) }
 
+    /**
+     * Evaluates the polynomial for the given value [arg].
+     */
     public operator fun Polynomial<T>.invoke(arg: T): T = value(ring, arg)
 }
 

kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt

@@ -1,11 +1,11 @@
 package space.kscience.kmath.integration
 
 /**
- * A general interface for all integrators
+ * A general interface for all integrators.
  */
 public interface Integrator<I : Integrand> {
     /**
-     * Run one integration pass and return a new [Integrand] with a new set of features
+     * Runs one integration pass and return a new [Integrand] with a new set of features.
      */
     public fun integrate(integrand: I): I
 }

kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt

@@ -10,8 +10,11 @@ import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.structures.MutableBufferFactory
 
 /**
- * Generic spline interpolator. Not recommended for performance critical places, use platform-specific and type specific ones.
- * Based on https://github.com/apache/commons-math/blob/eb57d6d457002a0bb5336d789a3381a24599affe/src/main/java/org/apache/commons/math4/analysis/interpolation/SplineInterpolator.java
+ * Generic spline interpolator. Not recommended for performance critical places, use platform-specific and type
+ * specific ones.
+ *
+ * Based on
+ * https://github.com/apache/commons-math/blob/eb57d6d457002a0bb5336d789a3381a24599affe/src/main/java/org/apache/commons/math4/analysis/interpolation/SplineInterpolator.java
  */
 public class SplineInterpolator<T : Comparable<T>>(
     public override val algebra: Field<T>,

kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt

@@ -37,11 +37,11 @@ public class LongCounter : Counter<Long> {
     override val value: Long get() = innerValue.value
 }
 
-public class ObjectCounter<T : Any>(public val space: Group<T>) : Counter<T> {
-    private val innerValue = atomic(space.zero)
+public class ObjectCounter<T : Any>(public val group: Group<T>) : Counter<T> {
+    private val innerValue = atomic(group.zero)
 
     override fun add(delta: T) {
-        innerValue.getAndUpdate { space.run { it + delta } }
+        innerValue.getAndUpdate { group.run { it + delta } }
     }
 
     override val value: T get() = innerValue.value

kmath-nd4j/README.md

@@ -1,46 +1,40 @@
-# ND4J NDStructure implementation (`kmath-nd4j`)
+# Module kmath-nd4j
 
-This subproject implements the following features:
+ND4J based implementations of KMath abstractions.
 
  - [nd4jarraystructure](#) : NDStructure wrapper for INDArray
  - [nd4jarrayrings](#) : Rings over Nd4jArrayStructure of Int and Long
  - [nd4jarrayfields](#) : Fields over Nd4jArrayStructure of Float and Double
 
 
-> #### Artifact:
->
-> This module artifact: `space.kscience:kmath-nd4j:0.3.0-dev-3`.
->
-> Bintray release version:        [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-nd4j/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-nd4j/_latestVersion)
->
-> Bintray development version:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-nd4j/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-nd4j/_latestVersion)
->
-> **Gradle:**
->
-> ```gradle
-> repositories {
->     maven { url 'https://repo.kotlin.link' }
->     maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
->     maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
-> }
-> 
-> dependencies {
->     implementation 'space.kscience:kmath-nd4j:0.3.0-dev-3'
-> }
-> ```
-> **Gradle Kotlin DSL:**
->
-> ```kotlin
-> repositories {
->     maven("https://repo.kotlin.link")
->     maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
->     maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
-> }
-> 
-> dependencies {
->     implementation("space.kscience:kmath-nd4j:0.3.0-dev-3")
-> }
-> ```
+## Artifact:
+
+The Maven coordinates of this project are `space.kscience:kmath-nd4j:0.3.0-dev-3`.
+
+**Gradle:**
+```gradle
+repositories {
+    maven { url 'https://repo.kotlin.link' }
+    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
+    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
+}
+
+dependencies {
+    implementation 'space.kscience:kmath-nd4j:0.3.0-dev-3'
+}
+```
+**Gradle Kotlin DSL:**
+```kotlin
+repositories {
+    maven("https://repo.kotlin.link")
+    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
+    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
+}
+
+dependencies {
+    implementation("space.kscience:kmath-nd4j:0.3.0-dev-3")
+}
+```
 
 ## Examples
 

kmath-nd4j/docs/README-TEMPLATE.md

@@ -1,6 +1,6 @@
-# ND4J NDStructure implementation (`kmath-nd4j`)
+# Module kmath-nd4j
 
-This subproject implements the following features:
+ND4J based implementations of KMath abstractions.
 
 ${features}
 

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt

@@ -66,16 +66,16 @@ public fun <T, I, R> ComposableStatistic<T, I, R>.flow(
  * Arithmetic mean
  */
 public class Mean<T>(
-    private val space: Group<T>,
+    private val group: Group<T>,
     private val division: (sum: T, count: Int) -> T,
 ) : ComposableStatistic<T, Pair<T, Int>, T> {
     public override suspend fun computeIntermediate(data: Buffer<T>): Pair<T, Int> =
-        space { sum(data.asIterable()) } to data.size
+        group { sum(data.asIterable()) } to data.size
 
     public override suspend fun composeIntermediate(first: Pair<T, Int>, second: Pair<T, Int>): Pair<T, Int> =
-        space { first.first + second.first } to (first.second + second.second)
+        group { first.first + second.first } to (first.second + second.second)
 
-    public override suspend fun toResult(intermediate: Pair<T, Int>): T = space {
+    public override suspend fun toResult(intermediate: Pair<T, Int>): T = group {
         division(intermediate.first, intermediate.second)
     }