data 0.12.0

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.