Integrate multivariate case based on PCP #21
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- Compute the multinomial multiindex that appear in generalized Liebtnitz rules for product derivatives - Add doctest and unittest (require sympy)
- derive product of single variable functions. - `diffprodTree` use D&C strategy and is faster.
- add tests (univarite case with doctest,
multivariate unittest)
- `diffprod` is depreciated, will be replaced by `diffprodMV`
- Add _rec_solve and tests - Fix wrong name in tests and wrong bounds in diffprod*. - Add `tol` in taylor2sympyPol for skipping coefs.
- parallel support
- try/except in _newton to continue even if it fails for some
starting point
- expose CharPol - fix sign in sympy_check
- `jacobian` performed the evaluation @ vals - `_jacobian_utils` create all common part
- Add `sylvester` method to compute Sylvester matrix,
- Add `discriminant` method to compute CharPol disc
vs lambda
- Add `getDH` to compute discriminant Taylor series
from roots
- Add `Taylor` class to manage H taylor series
- Few edit in the doctrings (latex)
- Add unittests - Add doctest
- Rename `newton` into `iterative_solve`. - Add depreciated warning for old code - Add `lm_from_sol` method.
- clean docstring - clean parameter mesh for initial guess.
- Add `normalize` keyword in `plotRiemannPyvista` - Change default colormap
It enables textual profiling.
dLambda is not usually used except on lda method, called in iterative EPs solvers.
Almost factor 2 speedup here find with lineprofiler.
The method is public.
- homotopy solver - load/export charpol methods
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Many changes to implement the multivariate case are included in this long running PR.
The main novelty is the
CharPolclass but the PR also contains:op,eigs...I suggest to keep this PR as draft as long as all other modifications to bump to ee v2 will be done.