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Documentation update.

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Alexander Nozik 2021-01-30 20:12:14 +03:00
parent 5f6c133550
commit 85927c9f6b
16 changed files with 184 additions and 93 deletions
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6
.github/workflows/gradle.yml → .github/workflows/build.yml vendored
View File

@ -12,6 +12,8 @@ jobs:
uses: actions/setup-java@v1
with:
java-version: 11
- name: Grant execute permission for gradlew
run: chmod +x gradlew
- name: Install Chrome
run: |
sudo apt install -y libappindicator1 fonts-liberation
@ -47,6 +49,8 @@ jobs:
uses: actions/setup-java@v1
with:
java-version: 11
- name: Grant execute permission for gradlew
run: chmod +x gradlew
- name: Cache gradle
uses: actions/cache@v2
with:
@ -77,6 +81,8 @@ jobs:
uses: actions/setup-java@v1
with:
java-version: 11
- name: Grant execute permission for gradlew
run: chmod +x gradlew
- name: Add msys to path
run: SETX PATH "%PATH%;C:\msys64\mingw64\bin"
- name: Cache gradle

81
README.md
View File

@ -9,7 +9,7 @@ Bintray-dev: [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmat
# KMath
Could be pronounced as `key-math`. The Kotlin MATHematics library was initially intended as a Kotlin-based analog to
Could be pronounced as `key-math`. The **K**otlin **Math**ematics library was initially intended as a Kotlin-based analog to
Python's NumPy library. Later we found that kotlin is much more flexible language and allows superior architecture
designs. In contrast to `numpy` and `scipy` it is modular and has a lightweight core. The `numpy`-like experience could
be achieved with [kmath-for-real](/kmath-for-real) extension module.
@ -32,49 +32,46 @@ be achieved with [kmath-for-real](/kmath-for-real) extension module.
* Provide the best performance out of the box. We have specialized libraries for that. Need only API wrappers for them.
* Cover all cases as immediately and in one bundle. We will modularize everything and add new features gradually.
* Provide specialized behavior in the core. API is made generic on purpose, so one needs to specialize for types, like
for `Double` in the core. For that we will have specialization modules like `for-real`, which will give better
for `Double` in the core. For that we will have specialization modules like `kmath-for-real`, which will give better
experience for those, who want to work with specific types.
## Features
## Features and stability
Current feature list is [here](/docs/features.md)
KMath is a modular library. Different modules provide different features with different API stability guarantees. All core modules are released with the same version, but with different API change policy. The features are described in module definitions below. The module stability could have following levels:
* **Algebra**
* Algebraic structures like rings, spaces and fields (**TODO** add example to wiki)
* Basic linear algebra operations (sums, products, etc.), backed by the `Space` API.
* Complex numbers backed by the `Field` API (meaning they will be usable in any structure like vectors and
N-dimensional arrays).
* Advanced linear algebra operations like matrix inversion and LU decomposition.
* **PROTOTYPE**. On this level there are no compatibility guarantees. All methods and classes form those modules could break any moment. You can still use it, but be sure to fix the specific version.
* **EXPERIMENTAL**. The general API is decided, but some changes could be made. Volatile API is marked with `@UnstableKmathAPI` or other stability warning annotations.
* **DEVELOPMENT**. API breaking genrally follows semantic versioning ideology. There could be changes in minor versions, but not in patch versions. API is protected with [binary-compatibility-validator](https://github.com/Kotlin/binary-compatibility-validator) tool.
* **STABLE**. The API stabilized. Breaking changes are allowed only in major releases.
* **Array-like structures** Full support of many-dimensional array-like structures
including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).
<!--Current feature list is [here](/docs/features.md)-->
* **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.
* **Histograms** Fast multi-dimensional histograms.
<!--* **Array-like structures** Full support of many-dimensional array-like structures -->
<!--including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).-->
* **Streaming** Streaming operations on mathematical objects and objects buffers.
<!--* **Histograms** Fast multi-dimensional histograms.-->
* **Type-safe dimensions** Type-safe dimensions for matrix operations.
<!--* **Streaming** Streaming operations on mathematical objects and objects buffers.-->
* **Commons-math wrapper** It is planned to gradually wrap most parts of
[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some
parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to
submit a feature request if you want something to be implemented first.
## Planned features
<!--* **Type-safe dimensions** Type-safe dimensions for matrix operations.-->
* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.
<!--* **Commons-math wrapper** It is planned to gradually wrap most parts of -->
<!--[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some -->
<!--parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to -->
<!--submit a feature request if you want something to be implemented first.-->
<!-- -->
<!--## Planned features-->
* **Array statistics**
<!--* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.-->
* **Integration** Univariate and multivariate integration framework.
<!--* **Array statistics** -->
* **Probability and distributions**
<!--* **Integration** Univariate and multivariate integration framework.-->
* **Fitting** Non-linear curve fitting facilities
<!--* **Probability and distributions**-->
<!--* **Fitting** Non-linear curve fitting facilities-->
## Modules
@ -113,10 +110,13 @@ submit a feature request if you want something to be implemented first.
> **Maturity**: DEVELOPMENT
>
> **Features:**
> - [algebras](kmath-core/src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : Algebraic structures: contexts and elements
> - [nd](kmath-core/src/commonMain/kotlin/kscience/kmath/nd/NDStructure.kt) : Many-dimensional structures
> - [algebras](kmath-core/src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields.
> - [nd](kmath-core/src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt) : Many-dimensional structures and operations on them.
> - [linear](kmath-core/src/commonMain/kotlin/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/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
> - [expressions](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions) : Functional Expressions
> - [expressions](kmath-core/src/commonMain/kotlin/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.
> - [domains](kmath-core/src/commonMain/kotlin/kscience/kmath/domains) : Domains
> - [autodif](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
@ -155,9 +155,16 @@ One can still use generic algebras though.
<hr/>
* ### [kmath-functions](kmath-functions)
>
> Functions and interpolation
>
> **Maturity**: EXPERIMENTAL
> **Maturity**: PROTOTYPE
>
> **Features:**
> - [piecewise](kmath-functions/src/commonMain/kotlin/kscience/kmath/functions/Piecewise.kt) : Piecewise functions.
> - [polynomials](kmath-functions/src/commonMain/kotlin/kscience/kmath/functions/Polynomial.kt) : Polynomial functions.
> - [linear interpolation](kmath-functions/src/commonMain/kotlin/kscience/kmath/interpolation/LinearInterpolator.kt) : Linear XY interpolator.
> - [spline interpolation](kmath-functions/src/commonMain/kotlin/kscience/kmath/interpolation/SplineInterpolator.kt) : Cubic spline XY interpolator.
<hr/>
* ### [kmath-geometry](kmath-geometry)
@ -169,7 +176,7 @@ One can still use generic algebras though.
* ### [kmath-histograms](kmath-histograms)
>
>
> **Maturity**: EXPERIMENTAL
> **Maturity**: PROTOTYPE
<hr/>
* ### [kmath-kotlingrad](kmath-kotlingrad)
@ -238,8 +245,8 @@ repositories {
}
dependencies {
api("kscience.kmath:kmath-core:0.2.0-dev-4")
// api("kscience.kmath:kmath-core-jvm:0.2.0-dev-4") for jvm-specific version
api("kscience.kmath:kmath-core:0.2.0-dev-6")
// api("kscience.kmath:kmath-core-jvm:0.2.0-dev-6") for jvm-specific version
}
```

4
build.gradle.kts
View File

@ -35,10 +35,6 @@ readme {
readmeTemplate = file("docs/templates/README-TEMPLATE.md")
}
apiValidation {
validationDisabled = true
}
ksciencePublish {
spaceRepo = "https://maven.pkg.jetbrains.space/mipt-npm/p/sci/maven"
}

55
docs/templates/README-TEMPLATE.md vendored
View File

@ -9,7 +9,7 @@ Bintray-dev: [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmat
# KMath
Could be pronounced as `key-math`. The Kotlin MATHematics library was initially intended as a Kotlin-based analog to
Could be pronounced as `key-math`. The **K**otlin **Math**ematics library was initially intended as a Kotlin-based analog to
Python's NumPy library. Later we found that kotlin is much more flexible language and allows superior architecture
designs. In contrast to `numpy` and `scipy` it is modular and has a lightweight core. The `numpy`-like experience could
be achieved with [kmath-for-real](/kmath-for-real) extension module.
@ -32,49 +32,46 @@ be achieved with [kmath-for-real](/kmath-for-real) extension module.
* Provide the best performance out of the box. We have specialized libraries for that. Need only API wrappers for them.
* Cover all cases as immediately and in one bundle. We will modularize everything and add new features gradually.
* Provide specialized behavior in the core. API is made generic on purpose, so one needs to specialize for types, like
for `Double` in the core. For that we will have specialization modules like `for-real`, which will give better
for `Double` in the core. For that we will have specialization modules like `kmath-for-real`, which will give better
experience for those, who want to work with specific types.
## Features
## Features and stability
Current feature list is [here](/docs/features.md)
KMath is a modular library. Different modules provide different features with different API stability guarantees. All core modules are released with the same version, but with different API change policy. The features are described in module definitions below. The module stability could have following levels:
* **Algebra**
* Algebraic structures like rings, spaces and fields (**TODO** add example to wiki)
* Basic linear algebra operations (sums, products, etc.), backed by the `Space` API.
* Complex numbers backed by the `Field` API (meaning they will be usable in any structure like vectors and
N-dimensional arrays).
* Advanced linear algebra operations like matrix inversion and LU decomposition.
* **PROTOTYPE**. On this level there are no compatibility guarantees. All methods and classes form those modules could break any moment. You can still use it, but be sure to fix the specific version.
* **EXPERIMENTAL**. The general API is decided, but some changes could be made. Volatile API is marked with `@UnstableKmathAPI` or other stability warning annotations.
* **DEVELOPMENT**. API breaking genrally follows semantic versioning ideology. There could be changes in minor versions, but not in patch versions. API is protected with [binary-compatibility-validator](https://github.com/Kotlin/binary-compatibility-validator) tool.
* **STABLE**. The API stabilized. Breaking changes are allowed only in major releases.
* **Array-like structures** Full support of many-dimensional array-like structures
including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).
<!--Current feature list is [here](/docs/features.md)-->
* **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.
* **Histograms** Fast multi-dimensional histograms.
<!--* **Array-like structures** Full support of many-dimensional array-like structures -->
<!--including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).-->
* **Streaming** Streaming operations on mathematical objects and objects buffers.
<!--* **Histograms** Fast multi-dimensional histograms.-->
* **Type-safe dimensions** Type-safe dimensions for matrix operations.
<!--* **Streaming** Streaming operations on mathematical objects and objects buffers.-->
* **Commons-math wrapper** It is planned to gradually wrap most parts of
[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some
parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to
submit a feature request if you want something to be implemented first.
## Planned features
<!--* **Type-safe dimensions** Type-safe dimensions for matrix operations.-->
* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.
<!--* **Commons-math wrapper** It is planned to gradually wrap most parts of -->
<!--[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some -->
<!--parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to -->
<!--submit a feature request if you want something to be implemented first.-->
<!-- -->
<!--## Planned features-->
* **Array statistics**
<!--* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.-->
* **Integration** Univariate and multivariate integration framework.
<!--* **Array statistics** -->
* **Probability and distributions**
<!--* **Integration** Univariate and multivariate integration framework.-->
* **Fitting** Non-linear curve fitting facilities
<!--* **Probability and distributions**-->
<!--* **Fitting** Non-linear curve fitting facilities-->
## Modules

4
examples/build.gradle.kts
View File

@ -87,3 +87,7 @@ kotlin.sourceSets.all {
tasks.withType<KotlinCompile> {
kotlinOptions.jvmTarget = "11"
}
readme{
maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
}

2
gradle/wrapper/gradle-wrapper.properties vendored
View File

@ -1,5 +1,5 @@
distributionBase=GRADLE_USER_HOME
distributionPath=wrapper/dists
distributionUrl=https\://services.gradle.org/distributions/gradle-6.8-bin.zip
distributionUrl=https\://services.gradle.org/distributions/gradle-6.8.1-bin.zip
zipStoreBase=GRADLE_USER_HOME
zipStorePath=wrapper/dists

8
kmath-ast/README.md
View File

@ -12,7 +12,7 @@ This subproject implements the following features:
> #### Artifact:
>
> This module artifact: `kscience.kmath:kmath-ast:0.2.0-dev-4`.
> This module artifact: `kscience.kmath:kmath-ast:0.2.0-dev-6`.
>
> 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)
>
@ -30,7 +30,7 @@ This subproject implements the following features:
> }
>
> dependencies {
> implementation 'kscience.kmath:kmath-ast:0.2.0-dev-4'
> implementation 'kscience.kmath:kmath-ast:0.2.0-dev-6'
> }
> ```
> **Gradle Kotlin DSL:**
@ -44,7 +44,7 @@ This subproject implements the following features:
> }
>
> dependencies {
> implementation("kscience.kmath:kmath-ast:0.2.0-dev-4")
> implementation("kscience.kmath:kmath-ast:0.2.0-dev-6")
> }
> ```
@ -61,7 +61,7 @@ For example, the following builder:
RealField.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 kscience.kmath.asm.generated;

15
kmath-core/README.md
View File

@ -2,17 +2,20 @@
The core features of KMath:
- [algebras](src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : Algebraic structures: contexts and elements
- [nd](src/commonMain/kotlin/kscience/kmath/nd/NDStructure.kt) : Many-dimensional structures
- [algebras](src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields.
- [nd](src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt) : Many-dimensional structures and operations on them.
- [linear](src/commonMain/kotlin/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/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
- [expressions](src/commonMain/kotlin/kscience/kmath/expressions) : Functional Expressions
- [expressions](src/commonMain/kotlin/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.
- [domains](src/commonMain/kotlin/kscience/kmath/domains) : Domains
- [autodif](src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
> #### Artifact:
>
> This module artifact: `kscience.kmath:kmath-core:0.2.0-dev-4`.
> This module artifact: `kscience.kmath:kmath-core:0.2.0-dev-6`.
>
> 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)
>
@ -30,7 +33,7 @@ The core features of KMath:
> }
>
> dependencies {
> implementation 'kscience.kmath:kmath-core:0.2.0-dev-4'
> implementation 'kscience.kmath:kmath-core:0.2.0-dev-6'
> }
> ```
> **Gradle Kotlin DSL:**
@ -44,6 +47,6 @@ The core features of KMath:
> }
>
> dependencies {
> implementation("kscience.kmath:kmath-core:0.2.0-dev-4")
> implementation("kscience.kmath:kmath-core:0.2.0-dev-6")
> }
> ```

20
kmath-core/build.gradle.kts
View File

@ -16,16 +16,26 @@ readme {
feature(
id = "algebras",
description = "Algebraic structures: contexts and elements",
description = """
Algebraic structures like rings, spaces and fields.
""".trimIndent(),
ref = "src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt"
)
feature(
id = "nd",
description = "Many-dimensional structures",
description = "Many-dimensional structures and operations on them.",
ref = "src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt"
)
feature(
id = "linear",
description = """
Basic linear algebra operations (sums, products, etc.), backed by the `Space` API. Advanced linear algebra operations like matrix inversion and LU decomposition.
""".trimIndent(),
ref = "src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt"
)
feature(
id = "buffers",
description = "One-dimensional structure",
@ -34,7 +44,11 @@ readme {
feature(
id = "expressions",
description = "Functional Expressions",
description = """
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.
""".trimIndent(),
ref = "src/commonMain/kotlin/kscience/kmath/expressions"
)

6
kmath-for-real/README.md
View File

@ -7,7 +7,7 @@
> #### Artifact:
>
> This module artifact: `kscience.kmath:kmath-for-real:0.2.0-dev-4`.
> This module artifact: `kscience.kmath:kmath-for-real:0.2.0-dev-6`.
>
> 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)
>
@ -25,7 +25,7 @@
> }
>
> dependencies {
> implementation 'kscience.kmath:kmath-for-real:0.2.0-dev-4'
> implementation 'kscience.kmath:kmath-for-real:0.2.0-dev-6'
> }
> ```
> **Gradle Kotlin DSL:**
@ -39,6 +39,6 @@
> }
>
> dependencies {
> implementation("kscience.kmath:kmath-for-real:0.2.0-dev-4")
> implementation("kscience.kmath:kmath-for-real:0.2.0-dev-6")
> }
> ```

47
kmath-functions/README.md Normal file
View File

@ -0,0 +1,47 @@
# Functions (`kmath-functions`)
Functions and interpolations:
- [piecewise](src/commonMain/kotlin/kscience/kmath/functions/Piecewise.kt) : Piecewise functions.
- [polynomials](src/commonMain/kotlin/kscience/kmath/functions/Polynomial.kt) : Polynomial functions.
- [linear interpolation](src/commonMain/kotlin/kscience/kmath/interpolation/LinearInterpolator.kt) : Linear XY interpolator.
- [spline interpolation](src/commonMain/kotlin/kscience/kmath/interpolation/SplineInterpolator.kt) : Cubic spline XY interpolator.
> #### Artifact:
>
> This module artifact: `kscience.kmath:kmath-functions:0.2.0-dev-6`.
>
> 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://dl.bintray.com/kotlin/kotlin-eap" }
> maven { url 'https://dl.bintray.com/mipt-npm/kscience' }
> maven { url 'https://dl.bintray.com/mipt-npm/dev' }
> maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
>
> }
>
> dependencies {
> implementation 'kscience.kmath:kmath-functions:0.2.0-dev-6'
> }
> ```
> **Gradle Kotlin DSL:**
>
> ```kotlin
> repositories {
> maven("https://dl.bintray.com/kotlin/kotlin-eap")
> maven("https://dl.bintray.com/mipt-npm/kscience")
> maven("https://dl.bintray.com/mipt-npm/dev")
> maven("https://dl.bintray.com/hotkeytlt/maven")
> }
>
> dependencies {
> implementation("kscience.kmath:kmath-functions:0.2.0-dev-6")
> }
> ```

11
kmath-functions/build.gradle.kts
View File

@ -7,3 +7,14 @@ kotlin.sourceSets.commonMain {
api(project(":kmath-core"))
}
}
readme {
description = "Functions and interpolation"
maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE
propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
feature("piecewise", "src/commonMain/kotlin/kscience/kmath/functions/Piecewise.kt", "Piecewise functions.")
feature("polynomials", "src/commonMain/kotlin/kscience/kmath/functions/Polynomial.kt", "Polynomial functions.")
feature("linear interpolation", "src/commonMain/kotlin/kscience/kmath/interpolation/LinearInterpolator.kt", "Linear XY interpolator.")
feature("spline interpolation", "src/commonMain/kotlin/kscience/kmath/interpolation/SplineInterpolator.kt", "Cubic spline XY interpolator.")
}

7
kmath-functions/docs/README-TEMPLATE.md Normal file
View File

@ -0,0 +1,7 @@
# Functions (`kmath-functions`)
Functions and interpolations:
${features}
${artifact}

3
kmath-functions/src/commonMain/kotlin/kscience/kmath/functions/Piecewise.kt
View File

@ -6,8 +6,7 @@ public fun interface Piecewise<T, R> {
public fun findPiece(arg: T): R?
}
public fun interface PiecewisePolynomial<T : Any> :
Piecewise<T, Polynomial<T>>
public fun interface PiecewisePolynomial<T : Any> : Piecewise<T, Polynomial<T>>
/**
* Ordered list of pieces in piecewise function

6
kmath-nd4j/README.md
View File

@ -9,7 +9,7 @@ This subproject implements the following features:
> #### Artifact:
>
> This module artifact: `kscience.kmath:kmath-nd4j:0.2.0-dev-4`.
> This module artifact: `kscience.kmath:kmath-nd4j:0.2.0-dev-6`.
>
> 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)
>
@ -27,7 +27,7 @@ This subproject implements the following features:
> }
>
> dependencies {
> implementation 'kscience.kmath:kmath-nd4j:0.2.0-dev-4'
> implementation 'kscience.kmath:kmath-nd4j:0.2.0-dev-6'
> }
> ```
> **Gradle Kotlin DSL:**
@ -41,7 +41,7 @@ This subproject implements the following features:
> }
>
> dependencies {
> implementation("kscience.kmath:kmath-nd4j:0.2.0-dev-4")
> implementation("kscience.kmath:kmath-nd4j:0.2.0-dev-6")
> }
> ```

2
settings.gradle.kts
View File

@ -8,7 +8,7 @@ pluginManagement {
maven("https://dl.bintray.com/kotlin/kotlinx")
}
val toolsVersion = "0.7.3-1.4.30-RC"
val toolsVersion = "0.7.4"
val kotlinVersion = "1.4.30-RC"
plugins {