NEP-PACK 0.3.0

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
• Common (parallelizable) interface for contour integral methods
• 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/
• Support for chebyshev polys #190
• 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)
• More tutorials: https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_fortran1, https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_matlab1/
• New algorithm: ILAN - Infinite Lanczos Method for symmetric NEPs
• Support for LowRankNEPs
• New benchmark: bessel functions FEM model: nep_gallery("dtn_dimer")
• New tutorials: Interface with python, matlab, etc. https://nep-pack.github.io/NonlinearEigenproblems.jl/tutorial_matlab1/
• Boundary element method: https://nep-pack.github.io/NonlinearEigenproblems.jl/bemtutorial/
• Artificial boundary conditions: https://nep-pack.github.io/NonlinearEigenproblems.jl/movebc_tutorial/

This is essentially a release candidate for 1.0.0