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 / D., Bianco; Andreozzi, Francesco; LO IUDICE, Nicola; Porrino, Antonio; F., Knapp. - In: JOURNAL OF PHYSICS. G, NUCLEAR AND PARTICLE PHYSICS. - ISSN 0954-3899. - 38:(2011), pp. 25103-1-25103-9. [10.1088/0954-3899/38/2/025103]
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.