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Software

• pytikhonov: Tikhonov regularization with GSVD diagnostics and parameter-selection methods.
• easygsvd: A Python interface to the generalized singular value decomposition.
• blockcg: Pure-Python implementations of block conjugate gradient methods.
• gpcg: Conjugate-gradient optimization for bound-constrained quadratic programs.
• rjpo: Reversible-jump perturbation optimization for high-dimensional Gaussian sampling.
• runningstatistics: Online sample statistics for array-valued data streams.
• gsvdm2py: A Python wrapper around MATLAB’s generalized singular value decomposition.

Additional projects are available on GitHub.