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This release includes many changes. Major changes are as follows.

New modules:

• som: Self-organizing map (SOM)
• backtracking-line-search: Backtracking line search
• bayesian-optimization: Bayesian optimization
• bfgs: BFGS method
• gradient-descent: Gradient descent method
• l-bfgs: Limited-memory BFGS method
• strong-wolfe-conditions-line-search: Strong Wolfe conditions line search
• log-determinant: Log-determinant
• matrix-inversion: Matrix inversion techniques
• acquisition-functions: Acquisition functions
• constants: Constants
• data-normalization: Data normalization
• kernel-functions: Kernel functions
• probability-distributions: Probability distributions

New features:

• Python bindings

Test environments:

• GitHub Actions

This release includes the following important changes:

• Add support of Gaussian process regression

Add the following algorithms:

• rbf-interpolation
• classical-mds