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开源软件名称:nep-pack/NonlinearEigenproblems.jl开源软件地址:https://github.com/nep-pack/NonlinearEigenproblems.jl开源编程语言:Julia 99.8%开源软件介绍:NEP-PACKA nonlinear eigenvalue problem is the problem to determine a scalar λ and a vector v such that M(λ)v=0 where M is an nxn-matrix depending on a parameter. This package aims to provide state-of-the-art algorithms to solve this problem, as well as a framework to formulate applications and easy access to benchmark problems. This currently includes (but is not restricted to) Newton-type methods, Subspace methods, Krylov methods, contour integral methods, block methods, companion matrix approaches. Problem transformation techniques such as scaling, shifting, deflating are also natively supported by the package.How to use it?On Julia 1.X and Julia 0.7, install it as a registered package by typing
After that, check out "Getting started" in or read the preprint: https://arxiv.org/abs/1811.09592 GIT VersionIf you want the cutting edge development version and not the latest release, install it with the URL:
NEP solversFeatures and solvers (see documentation https://nep-pack.github.io/NonlinearEigenproblems.jl/methods/ for further information and references):
DevelopmentCore developers (alphabetical): Max Bennedich, Elias Jarlebring (www.math.kth.se/~eliasj), Giampaolo Mele (www.math.kth.se/~gmele), Emil Ringh (www.math.kth.se/~eringh), Parikshit Upadhyaya (https://www.kth.se/profile/pup/). Thanks to A Koskela for involvement in initial version of the software. How to citeIf you find this software useful please cite @Misc{,
author = {E. Jarlebring and M. Bennedich and G. Mele and E. Ringh and P. Upadhyaya},
title = {{NEP-PACK}: A {Julia} package for nonlinear eigenproblems},
year = {2018},
note = {https://github.com/nep-pack},
eprint = {arXiv:1811.09592},
} If you use a specific method, please also give credit to the algorithm researcher.
Reference to a corresponding algorithm paper can be found by in, e.g., by writing Some links below are developer info on KTH. We will migrate them soon:
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