Computing the lowest eigenvalues of the Fermion matrix by subspace iterations
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چکیده
منابع مشابه
Computing the lowest eigenvalues of the Fermion matrix by subspace iterations
provides the smallest eigenvalue, together with the corresponding eigenvector. The minimum of a functional can be found iteratively by the method of conjugate gradients (CG)[1], its application to the special case of the Ritz functional has been worked out by Geradin[2] and Fried[3]. If a small number of lowest eigenvalues is required instead, q(x) may be minimised repeatedly, restricting x to ...
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ژورنال
عنوان ژورنال: Nuclear Physics B - Proceedings Supplements
سال: 1997
ISSN: 0920-5632
DOI: 10.1016/s0920-5632(96)00835-3