An importance sampling iterative algorithm for diagonalizing large matrices is upgraded and adopted for large scale nuclear shell model calculations using a spin uncoupled basis. Its numerical implementation shows that the iterative procedure converges rapidly to the exact eigensolutions achieving an effective drastic cut of the sizes of the Hamiltonian matrix.

A diagonalization algorithm revisited and applied to the nuclear shell model

ANDREOZZI, FRANCESCO;LO IUDICE, NICOLA;PORRINO, ANTONIO;
2011

Abstract

An importance sampling iterative algorithm for diagonalizing large matrices is upgraded and adopted for large scale nuclear shell model calculations using a spin uncoupled basis. Its numerical implementation shows that the iterative procedure converges rapidly to the exact eigensolutions achieving an effective drastic cut of the sizes of the Hamiltonian matrix.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/390641
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