data

• Add distance and distanceSquared operators to vectors.

• Dart and Flutter 3.9 compatibility.

• Dart 3.8 requirement.
• Bugfixes and resolved compatibility issues.

• Add Vector.fromString and Matrix.fromString.
• Make matrix iterators return row, column, and value tuples.

• Cleanup API of distributions.
• Add cross product support to vectors.
• Add Vector.fromTensor and Matrix.fromTensor.

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

• 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.

• 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.

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

Lower SDK constraints to make it compatible with pub

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