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CHANGELOG.md

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  • 3.0.1

    • Typehints to appease PHPStan
  • 3.0.0

    • No changes
  • 3.0.0-beta

    • Add support for PHP 8.0 in the extension
    • Drop extension support for PHP 7.2 and 7.3
    • Tensors only compute floating point operations
    • Remove dependency on JAMA library
    • Remove previously deprecated items
    • Matrix returns vector on row access
    • Added Algebraic and Special function interfaces
  • 2.2.3

    • Remove dependency on pthreads

-2.2.2 - Compensate for PSR-4 issues

  • 2.2.1

    • Optimize 2D convolution operation
    • Fix and optimize vector convolve 1D operation
  • 2.2.0

    • Implemented Singular Value Decomposition (SVD)
    • Implemented matrix (Moore-Penrose) pseudoinverse
    • Tensor objects now throw namespaced exceptions
    • Optimized Reduced Row Echelon Form (RREF)
    • Optimize eigendecomposition for symmetric matrices
  • 2.1.4

    • Implemented Eigen decomposition in extension
    • Optimize row echelon form (REF) of matrix
    • Optimize Cholesky decomposition
    • Fix memory leak in matrix inverse
    • Optimize LU decomposition
  • 2.1.3

    • Use BLAS DGEMM for matrix multiplication
    • Optimize matrix inverse
  • 2.1.2

    • Optimize scalar arithmetic and comparisons
  • 2.1.1

    • Zephir redux
    • Blanket extension optimizations
    • Added array arithmetic and comparison functions
  • 2.1.0

    • Extension now compiles directly from C source code
    • Remove Zephir extension code
    • Update instructions for extension compilation using PHPize
  • 2.0.5

    • Percentile method changed to quantile
    • Fixed Vector linspace precision
  • 2.0.4

    • Individual Arithmetic and Comparison methods now public
    • Matrix reductions have their own namespace
    • Optimized Matrix structural operations
    • Added argmin and argmax custom optimizers
    • Added matrix/sub matrix insertion
  • 2.0.3

    • Matrix decomp methods now return decomp objects
    • Optimized matrix statistical operations
    • Optimized vector outer product
    • Optimized Matrix flatten
    • Cannot instantiate null/empty tensors
  • 2.0.2

    • Optimized random number generation
  • 2.0.1

    • Added benchmarks
    • Matrix stacking now row or column-wise
    • Changed method signature and behavior of repeat matrix
  • 2.0.0

    • Implemented the library as an extension using Zephir lang
    • Changed namespace from Rubix\Tensor to \Tensor
    • Matrix decompositions are now a separate abstraction
    • Removed Dimensionality Mismatch exception
    • Added inverse trigonometric methods to Trigonometric interface
    • Added Array-Like interface
    • Removed Column/Row exclude methods from Matrix
    • Changed method signature of matrix determinant
    • Added return sub matrix
    • Added positive definite and semi-definite methods to Matrix
    • Added is symmetric method to Matrix
    • Added Statistical and Trigonometric interfaces
    • Added Arithmetic and Comparable interfaces
    • Added log1p and expm1 methods to the Arithmetic interface
    • Added matrix full rank method
    • Added generate random Poisson distribution
    • Added Cholesky decomposition
    • Variance now takes an optional mean argument
  • 1.0.4

    • Added transpose to Tensor API
    • Reduced memory footprint of matmul operation
    • Removed magic getters
    • Added shape string method to Tensor API
    • Improved error messages for matrix dimensionality mismatch
  • 1.0.3

    • Added clip upper and lower bounds
    • Added isSquare method to Matrix
    • Added vector late static binding
  • 1.0.2

    • Added ref using row elimination method
    • Added universal comparison methods to tensor API
    • Added convolve operation to Vector and Matrix
  • 1.0.1

    • Added Column Vector
    • Implemented Eigenvalue decomposition
    • Added solve system of linear equations
    • Integration with 3rd party JAMA library
    • Fixed variance covariance calculation
    • Added percentile calculation for Vector and Matrix
  • 1.0.0

    • Implemented LU decomposition
    • Added vector projection
    • Implemented Matrix inverse
    • Implemented Row Echelon and Reduced Row Echelon decomposition
    • Added Matrix determinant
    • Added Matrix rank
    • Added Matrix/Vector products
    • Implemented universal element-wise tensor operations
    • Added statistical functions
    • Added trigonometric functions
    • Added exponential and logarithmic functions
    • Added tensor factories