219 lines
9.3 KiB
Markdown
219 lines
9.3 KiB
Markdown
# KMath
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## Unreleased
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### Added
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- Integer division algebras
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- Float32 geometries
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### Changed
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- Default naming for algebra and buffers now uses IntXX/FloatXX notation instead of Java types.
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- Remove unnecessary inlines in basic algebras.
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- QuaternionField -> QuaternionAlgebra and does not implement `Field` anymore since it is non-commutative
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- kmath-geometry is split into `euclidean2d` and `euclidean3d`
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### Deprecated
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### Removed
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- `asPolynomial` function due to scope pollution
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### Fixed
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- Median statistics
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### Security
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## 0.3.1 - 2023-04-09
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### Added
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- Wasm support for `memory`, `core`, `complex` and `functions` modules.
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- Generic builders for `BufferND` and `MutableBufferND`
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- `NamedMatrix` - matrix with symbol-based indexing
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- `Expression` with default arguments
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- Type-aliases for numbers like `Float64`
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- Autodiff for generic algebra elements in core!
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- Algebra now has an obligatory `bufferFactory` (#477).
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### Changed
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- Geometry uses type-safe angles
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- Tensor operations switched to prefix notation
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- Row-wise and column-wise ND shapes in the core
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- Shape is read-only
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- Major refactor of tensors (only minor API changes)
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- Kotlin 1.8.20
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- `LazyStructure` `deffered` -> `async` to comply with coroutines code style
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- Default `dot` operation in tensor algebra no longer support broadcasting. Instead `matmul` operation is added to `DoubleTensorAlgebra`.
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- Multik went MPP
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### Removed
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- Trajectory moved to https://github.com/SciProgCentre/maps-kt
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- Polynomials moved to https://github.com/SciProgCentre/kmath-polynomial
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## 0.3.0
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### Added
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- `ScaleOperations` interface
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- `Field` extends `ScaleOperations`
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- Basic integration API
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- Basic MPP distributions and samplers
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- `bindSymbolOrNull`
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- Blocking chains and Statistics
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- Multiplatform integration
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- Integration for any Field element
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- Extended operations for ND4J fields
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- Jupyter Notebook integration module (kmath-jupyter)
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- `@PerformancePitfall` annotation to mark possibly slow API
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- Unified architecture for Integration and Optimization using features.
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- `BigInt` operation performance improvement and fixes by @zhelenskiy (#328)
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- Integration between `MST` and Symja `IExpr`
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- Complex power
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- Separate methods for UInt, Int and Number powers. NaN safety.
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- Tensorflow prototype
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- `ValueAndErrorField`
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- MST compilation to WASM: #286
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- Jafama integration: #176
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- `contentEquals` with tolerance: #364
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- Compilation to TeX for MST: #254
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### Changed
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- Annotations moved to `space.kscience.kmath`
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- Exponential operations merged with hyperbolic functions
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- Space is replaced by Group. Space is reserved for vector spaces.
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- VectorSpace is now a vector space
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- Buffer factories for primitives moved to MutableBuffer.Companion
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- Rename `NDStructure` and `NDAlgebra` to `StructureND` and `AlgebraND` respectively
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- `Real` -> `Double`
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- DataSets are moved from functions to core
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- Redesign advanced Chain API
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- Redesign `MST`. Remove `MstExpression`.
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- Move `MST` to core
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- Separated benchmarks and examples
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- Rewrite `kmath-ejml` without `ejml-simple` artifact, support sparse matrices
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- Promote stability of kmath-ast and kmath-kotlingrad to EXPERIMENTAL.
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- ColumnarData returns nullable column
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- `MST` is made sealed interface
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- Replace `MST.Symbolic` by `Symbol`, `Symbol` now implements MST
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- Remove Any restriction on polynomials
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- Add `out` variance to type parameters of `StructureND` and its implementations where possible
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- Rename `DifferentiableMstExpression` to `KotlingradExpression`
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- `FeatureSet` now accepts only `Feature`. It is possible to override keys and use interfaces.
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- Use `Symbol` factory function instead of `StringSymbol`
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- New discoverability pattern: `<Type>.algebra.<nd/etc>`
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- Adjusted commons-math API for linear solvers to match conventions.
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- Buffer algebra does not require size anymore
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- Operations -> Ops
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- Default Buffer and ND algebras are now Ops and lack neutral elements (0, 1) as well as algebra-level shapes.
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- Tensor algebra takes read-only structures as input and inherits AlgebraND
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- `UnivariateDistribution` renamed to `Distribution1D`
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- Rework of histograms.
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- `UnivariateFunction` -> `Function1D`, `MultivariateFunction` -> `FunctionND`
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### Deprecated
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- Specialized `DoubleBufferAlgebra`
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### Removed
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- Nearest in Domain. To be implemented in geometry package.
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- Number multiplication and division in main Algebra chain
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- `contentEquals` from Buffer. It moved to the companion.
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- MSTExpression
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- Expression algebra builders
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- Complex and Quaternion no longer are elements.
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- Second generic from DifferentiableExpression
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- Algebra elements are completely removed. Use algebra contexts instead.
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### Fixed
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- Ring inherits RingOperations, not GroupOperations
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- Univariate histogram filling
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## 0.2.0
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### Added
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- `fun` annotation for SAM interfaces in library
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- Explicit `public` visibility for all public APIs
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- Better trigonometric and hyperbolic functions for `AutoDiffField` (https://github.com/mipt-npm/kmath/pull/140)
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- Automatic README generation for features (#139)
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- Native support for `memory`, `core` and `dimensions`
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- `kmath-ejml` to supply EJML SimpleMatrix wrapper (https://github.com/mipt-npm/kmath/pull/136)
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- A separate `Symbol` entity, which is used for global unbound symbol.
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- A `Symbol` indexing scope.
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- Basic optimization API for Commons-math.
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- Chi squared optimization for array-like data in CM
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- `Fitting` utility object in prob/stat
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- ND4J support module submitting `NDStructure` and `NDAlgebra` over `INDArray`
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- Coroutine-deterministic Monte-Carlo scope with a random number generator
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- Some minor utilities to `kmath-for-real`
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- Generic operation result parameter to `MatrixContext`
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- New `MatrixFeature` interfaces for matrix decompositions
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- Basic Quaternion vector support in `kmath-complex`.
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### Changed
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- Package changed from `scientifik` to `space.kscience`
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- Gradle version: 6.6 -> 6.8.2
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- Minor exceptions refactor (throwing `IllegalArgumentException` by argument checks instead of `IllegalStateException`)
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- `Polynomial` secondary constructor made function
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- Kotlin version: 1.3.72 -> 1.4.30
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- `kmath-ast` doesn't depend on heavy `kotlin-reflect` library
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- Full autodiff refactoring based on `Symbol`
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- `kmath-prob` renamed to `kmath-stat`
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- Grid generators moved to `kmath-for-real`
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- Use `Point<Double>` instead of specialized type in `kmath-for-real`
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- Optimized dot product for buffer matrices moved to `kmath-for-real`
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- EjmlMatrix context is an object
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- Matrix LUP `inverse` renamed to `inverseWithLup`
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- `NumericAlgebra` moved outside of regular algebra chain (`Ring` no longer implements it).
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- Features moved to NDStructure and became transparent.
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- Capitalization of LUP in many names changed to Lup.
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- Refactored `NDStructure` algebra to be more simple, preferring under-the-hood conversion to explicit NDStructure types
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- Refactor histograms. They are marked as prototype
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- `Complex` and related features moved to a separate module `kmath-complex`
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- Refactor AlgebraElement
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- `symbol` method in `Algebra` renamed to `bindSymbol` to avoid ambiguity
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- Add `out` projection to `Buffer` generic
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### Removed
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- `kmath-koma` module because it doesn't support Kotlin 1.4.
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- Support of `legacy` JS backend (we will support only IR)
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- `toGrid` method.
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- Public visibility of `BufferAccessor2D`
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- `Real` class
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- StructureND identity and equals
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### Fixed
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- `symbol` method in `MstExtendedField` (https://github.com/mipt-npm/kmath/pull/140)
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## 0.1.4
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### Added
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- Functional Expressions API
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- Mathematical Syntax Tree, its interpreter and API
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- String to MST parser (https://github.com/mipt-npm/kmath/pull/120)
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- MST to JVM bytecode translator (https://github.com/mipt-npm/kmath/pull/94)
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- FloatBuffer (specialized MutableBuffer over FloatArray)
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- FlaggedBuffer to associate primitive numbers buffer with flags (to mark values infinite or missing, etc.)
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- Specialized builder functions for all primitive buffers like `IntBuffer(25) { it + 1 }` (https://github.com/mipt-npm/kmath/pull/125)
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- Interface `NumericAlgebra` where `number` operation is available to convert numbers to algebraic elements
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- Inverse trigonometric functions support in ExtendedField (`asin`, `acos`, `atan`) (https://github.com/mipt-npm/kmath/pull/114)
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- New space extensions: `average` and `averageWith`
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- Local coding conventions
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- Geometric Domains API in `kmath-core`
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- Blocking chains in `kmath-coroutines`
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- Full hyperbolic functions support and default implementations within `ExtendedField`
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- Norm support for `Complex`
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### Changed
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- `readAsMemory` now has `throws IOException` in JVM signature.
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- Several functions taking functional types were made `inline`.
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- Several functions taking functional types now have `callsInPlace` contracts.
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- BigInteger and BigDecimal algebra: JBigDecimalField has companion object with default math context; minor optimizations
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- `power(T, Int)` extension function has preconditions and supports `Field<T>`
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- Memory objects have more preconditions (overflow checking)
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- `tg` function is renamed to `tan` (https://github.com/mipt-npm/kmath/pull/114)
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- Gradle version: 6.3 -> 6.6
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- Moved probability distributions to commons-rng and to `kmath-prob`
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### Fixed
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- Missing copy method in Memory implementation on JS (https://github.com/mipt-npm/kmath/pull/106)
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- D3.dim value in `kmath-dimensions`
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- Multiplication in integer rings in `kmath-core` (https://github.com/mipt-npm/kmath/pull/101)
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- Commons RNG compatibility (https://github.com/mipt-npm/kmath/issues/93)
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- Multiplication of BigInt by scalar
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