NEP-PACK 1.0.0

In relation to 0.2.0 this release contains many new features, bugfixes, NEP-solvers and applications.

Modifications include, but are not restricted to:

• New method contour_block_SS: https://nep-pack.github.io/NonlinearEigenproblems.jl/methods/#NonlinearEigenproblems.NEPSolver.contour_block_SS
• Common (parallelizable) interface for contour integral methods
• Support for chebyshev polys #190 https://nep-pack.github.io/NonlinearEigenproblems.jl/types/#NonlinearEigenproblems.NEPTypes.ChebPEP
• Moved from Arpack to ArnoldiMethod.jl to lessen fortran dependence #191
• A new logger-system to customize printouts and store convergence history #182
• Changes to infinite-Arnoldi-type methods where neigs=Inf is interpreted as computing as many eigenvalues as possible #183
• Convenience functions #159
• More Low-Rank NEP support #157
• More gallery problems: large-scale nep_gallery("dtn_dimer") Helmholz problem #156
• Contour_beyn improvement #163 #165 (thx @wrs28)
• New algorithm: ILAN - Infinite Lanczos Method for symmetric NEPs
• Support for LowRankNEPs
• New benchmark: bessel functions FEM model: nep_gallery("dtn_dimer")
• CORK data types (full as well as low rank) #227 #230: https://nep-pack.github.io/NonlinearEigenproblems.jl/types/#CORK-data-types-1
• Eigsolver refactorization #213
• Algorithm independent deflation: https://nep-pack.github.io/NonlinearEigenproblems.jl/deflation/
• New tutorials:
  • Parallelization + contour: https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_contour/,
  • Nanophotonics + gmsh: https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_nano1/
  • Your own solver: https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_newmethod/
  • Fluid mech: #194 https://nep-pack.github.io/NonlinearEigenproblems.jl/hydrotutorial/
  • Interface with python, matlab, etc. https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_matlab1/
  • Artificial boundary conditions: https://nep-pack.github.io/NonlinearEigenproblems.jl/movebc_tutorial/
  • Interface with fortran code: https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_fortran1
  • Boundary element method: https://nep-pack.github.io/NonlinearEigenproblems.jl/bemtutorial

See https://nep-pack.github.io/NonlinearEigenproblems.jl/