forked from kscience/kmath
Alexander Nozik
4d1137659b
# Conflicts: # build.gradle.kts # kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt # kmath-core/build.gradle.kts # kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndices.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt # kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/bufferExtensions.kt # kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt # kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/UniformDistribution.kt # kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/Sampler.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt # kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt # settings.gradle.kts |
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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:0.3.1-dev-1
.
Gradle Groovy:
repositories {
maven { url 'https://repo.kotlin.link' }
mavenCentral()
}
dependencies {
implementation 'space.kscience:kmath-core:0.3.1-dev-1'
}
Gradle Kotlin DSL:
repositories {
maven("https://repo.kotlin.link")
mavenCentral()
}
dependencies {
implementation("space.kscience:kmath-core:0.3.1-dev-1")
}