A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method
TL;DR: The Sakurai-Sugiura projection method, which solves generalized eigenvalue problems to find certain eigenvalues in a given domain, was reformulated by using the resolvent theory.
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About: This article is published in Journal of Computational and Applied Mathematics. The article was published on 01 Feb 2010. and is currently open access. The article focuses on the topics: Projection method & Eigenvalues and eigenvectors.
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Citations
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References
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A low-storage filter diagonalization method for quantum eigenenergy calculation or for spectral analysis of time signals
TL;DR: In this paper, a new version of the filter diagonalization method of diagonalizing large real symmetric Hamiltonian matrices is presented, which produces a small set of adapted basis functions by applying the Chebyshev polynomial expansion of the Green's function on a generic initial vector χ. The small Hamiltonian, H and overlap, S, matrices would then be evaluated in this adapted basis and the corresponding generalized eigenvalue problem would be solved yielding the desired spectral information.
224
A Petrov-Galerkin type method for solving Axk=b, where A is symmetric complex
TL;DR: In this article, the residual vectors can be made mutually orthogonal by means of a two-term recursion relation which leads to the well-known conjugate gradient (CG) method.
CIRR: a Rayleigh-Ritz type method with contour integral for generalized eigenvalue problems
Tetsuya Sakurai,Hiroto Tadano +1 more
TL;DR: In this paper, a Rayleigh-Ritz type eigensolver for finding a limited set of eigenvalues and their corresponding eigenvectors in a certain region of generalized eigen-value problems is considered.