ocramz / sparse-linear-algebra

Numerical computation in native Haskell
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Iterative algorithms checklist #61

Open ocramz opened 6 years ago

ocramz commented 6 years ago

From https://github.com/JuliaMath/IterativeSolvers.jl/issues/1

A comprehensive listing of methods in the references. Please remove any methods are impractical/obsolete and add methods worth implementing to the list.

Linear systems

(Generalized) eigenproblems

Singular value decomposition

References

LT: Templates for the Solution of Linear Systems: http://www.netlib.org/linalg/html_templates/report.html ET: Templates for the Solution of Algebraic Eigenvalue Problems : http://web.eecs.utk.edu/%7Edongarra/etemplates/book.html IRLBA : augmented implicitly restarted Lanczos bidiagonalization algorithm (IRLBA) : https://bwlewis.github.io/irlba/ Saa: GMRES: A generalized minimal residual algorithm for solving nonsymmetric linear systems (pdf) : http://www.stat.uchicago.edu/%7Elekheng/courses/324/saad-schultz.pdf Sle: BiCGstab(l) and other hybrid Bi-CG methods (pdf) : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.139.7946&rep=rep1&type=pdf Sle2: BICGSTAB(L) for linear equations involving unsymmetric matrices with complex spectrum http://www.emis.ams.org/journals/ETNA/vol.1.1993/pp11-32.dir/pp11-32.pdf TB: Numerical linear algebra : http://www.worldcat.org/title/numerical-linear-algebra/oclc/36084666 HV: Iterative Krylov methods for large linear systems : http://www.worldcat.org/title/iterative-krylov-methods-for-large-linear-systems/oclc/837021440 LOBPCG : Accelerating the LOBPCG method on GPUs using a blocked Sparse Matrix Vector Product

[1] Low-priority methods: they are quite expensive per iteration.

ocramz commented 6 years ago

Alternating Anderson-Richardson method: An efficient alternative to preconditioned Krylov methods for large, sparse linear systems https://arxiv.org/abs/1606.08740