Method and system for accurately and effectively solving eigenstate of large sparse matrix
A sparse matrix and eigenstate technology, applied in the field of engineering calculations, can solve problems such as large dependence on initial values and low convergence speed, and achieve the effects of reducing dependence, increasing convergence speed, and improving iterative solution efficiency
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[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0031] On the one hand, see attached figure 1 , the embodiment of the present invention discloses an accurate and effective method for solving the eigenstates of a large sparse matrix, the method comprising:
[0032] S1: Perform spectral transformation on the Hamiltonian matrix H to obtain the transformed matrix H';
[0033] S2: According to the matrix H', iteratively solve through the preset convergence criterion to obtain the eigenfunction;
[0034] S3: Ad...
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