History

Alexander Nozik 67994d35d9 Merge branch 'dev' into dev-0.4 # Conflicts: # CHANGELOG.md # build.gradle.kts # examples/src/main/kotlin/space/kscience/kmath/operations/mixedNDOperations.kt # kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/Float64LinearSpace.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Float64FieldND.kt # kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/euclidean2d/Circle2D.kt # kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/euclidean2d/Float64Space2D.kt # kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/euclidean3d/Float64Space3D.kt # kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/vectorPrecision.kt # kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt # kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensorAlgebra.kt # kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt		2023-08-12 21:38:43 +03:00
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api	Pre-release fixes	2023-05-12 20:57:55 +03:00
docs	Improve Dokka configuration	2021-03-22 20:41:18 +07:00
src	Merge branch 'dev' into dev-0.4	2023-08-12 21:38:43 +03:00
build.gradle.kts	[WIP] moving from features to attributes	2023-06-20 19:45:21 +03:00
README.md	Move annotations to base package. Fix series	2023-04-07 19:55:34 +03:00

README.md

Module kmath-core

The core interfaces of KMath.

algebras : Algebraic structures like rings, spaces and fields.
nd : Many-dimensional structures and operations on them.
linear : Basic linear algebra operations (sums, products, etc.), backed by the Space API. Advanced linear algebra operations like matrix inversion and LU decomposition.
buffers : One-dimensional structure
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 : Domains
autodiff : Automatic differentiation

Artifact:

The Maven coordinates of this project are space.kscience:kmath-core:0.4.0-dev-1.

Gradle Groovy:

repositories {
    maven { url 'https://repo.kotlin.link' }
    mavenCentral()
}

dependencies {
    implementation 'space.kscience:kmath-core:0.4.0-dev-1'
}

Gradle Kotlin DSL:

repositories {
    maven("https://repo.kotlin.link")
    mavenCentral()
}

dependencies {
    implementation("space.kscience:kmath-core:0.4.0-dev-1")
}