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An easy-to-use, high-performance matrix computation and linear algebra library with built-in parallel support.

2.0.0 #

  • Redesign the package around high performance and script-friendly ergonomics, with Float32 matrix and vector types.
  • Replace nested-list internals with contiguous typed-data storage and pure Dart SIMD kernels for dense matrix and vector hot paths.
  • Add broad linear algebra coverage, including direct solvers, decompositions, eigen/SVD, pseudoinverse, least squares, PCA, iterative solvers, and Krylov methods.
  • Add CSR sparse matrix support with dense conversion, sparse-vector products, sparse-dense multiplication, transpose, and JSON serialization.
  • Align the 32-bit and 64-bit APIs across construction, arithmetic, statistics, serialization, solvers, decompositions, advanced algorithms, and sparse conversion.
  • Add reproducible correctness, numerical robustness, performance regression, and benchmark-suite coverage.

1.2.7 #

  • Documentation update.

1.2.6 #

  • Bug fixes.

1.2.4 #

  • Bug fixes.

1.2.3 #

  • Bug fixes.

1.2.2 #

  • Bug fixes.
  • Add documentation webpage.

1.2.1 #

  • Bug fixes.
  • Add documentation webpage.

1.2.0 #

  • Bug fixes.
  • Major update; see the documentation.

1.1.5 #

  • Bug fixes.
  • Add rowCount, columnCount, and count.
  • Add max and min.

1.1.4 #

  • Bug fixes.
  • Add fromFlattenedList.
  • Add identity matrix support.

1.1.3 #

  • Bug fixes.

1.1.2 #

  • Bug fixes.
  • Improve inverse.
  • Standardize methods.

1.1.0 #

  • Bug fixes.
  • Remove emoji methods.
  • Standardize methods.

1.0.11 #

  • Bug fixes.
  • Greatly improve determinant performance.

1.0.9 #

  • Bug fixes.

1.0.8 #

  • Update.

1.0.7 #

  • Documentation update.

1.0.6 #

  • Documentation update.

1.0.5 #

  • Add English documentation.

1.0.4 #

  • Documentation update.

1.0.3 #

  • Bug fixes.

1.0.2 #

  • Open source release.
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Documentation

API reference

Publisher

verified publisherabandoft.com

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An easy-to-use, high-performance matrix computation and linear algebra library with built-in parallel support.

Repository (GitHub)
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License

MIT (license)

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