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@pnkraemer pnkraemer released this 15 Jan 09:47
· 42 commits to main since this release
v0.0.14
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This release introduces Chebyshev approximation for computing functions of (large) matrices.

This release is not backwards compatible because some functions are reorganised: the content of slq.py and decomp.py has been collected in a new lanczos.py. See the changelog for concrete differences, and consult the documentation for where to find which function.

What's Changed

  • Implement the Chebyshev recursion for computing matrix-function-vector products (draft) by @pnkraemer in #175
  • Restructure lanczos-related modules by @pnkraemer in #176
  • Merge decomposition-algorithms with decompose_fori_loop by @pnkraemer in #177
  • Rename lanczos.integrand_* functions by @pnkraemer in #178
  • Rename matfun.py to polynomial.py by @pnkraemer in #179
  • Update the README to include new functionality by @pnkraemer in #180

Full Changelog: v0.0.13...v0.0.14

Contributors

pnkraemer
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