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A time and space efficient collection of data structures and algorithms to deal with data in Dart.

Changelog #

0.12.0 #

  • Dart 3.0 support and requirement.
  • Experimental Tensor library.

0.11.0 #

  • Dart 2.18 requirement.
  • Add fast FFT polynomial multiplication operator.
  • Add more distributions (rademacher, inverse weibull, negative binomial) and more properties (kurtosis, bounds).
  • Add support for curve fitting (Levenberg Marquardt, Polynomial Regression).
  • More and better accessors for numeric limits, including also floating point numbers.
  • Operators are lazy now and create views. Use toVector() or copyInto(target) to evaluate the data. This uniformly applies to Matrix, Vector and Polynomial now.
  • Various improvements to singular value decomposition, thanks to Jong Hyun Kim.

0.10.0 #

  • Dart 2.16 requirement.
  • More distributions: exponential, gamma, inverse gamma, student-t.
  • Add a Jackknife estimator to compute confidence intervals of samples.
  • Countless fixes, improved tests, and other improvements.

0.9.0 #

  • Dart 2.14 requirement.
  • Strong typing support across all code.

0.7.0 #

  • Dart 2.12 requirement and null-safety.
  • Added numeric derivative, integration, and solver.

0.6.0 #

  • Support for vectors, matrices, and polynomials.
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verified publisherlukas-renggli.ch

A time and space efficient collection of data structures and algorithms to deal with data in Dart.

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License

MIT (LICENSE)

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collection, meta, more

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