minimization preconditioners in electromagnetism B. Carpentieri\Lambda y I.S. Duff\Lambda z L. Giraud\Lambd
Abstract — A methodology is developed to derive algorithms for optimal basis selection by minimizing...
AbstractWe propose two sparsity pattern selection algorithms for factored approximate inverse precon...
Measures for sparse best–basis selection are analyzed and shown to fit into a general framework base...
SIGLEAvailable from British Library Document Supply Centre-DSC:8715.1804(2000-009) / BLDSC - British...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
If P has a prescribed sparsity and minimizes the Frobenius norm ||I-PA||F it is called a sparse appr...
If P has a prescribed sparsity and minimizes the Frobenius norm |I - PA||F, it is called a sparse ap...
We investigate the use of sparse approximate inverse preconditioners for the iterative solution of l...
We consider symmetric preconditioning strategies for the iterative solution of dense complex symmetr...
If P has a prescribed sparsity and minimizes the Frobenius norm |I - PA||F, it is called a sparse ap...
We consider symmetric preconditioning strategies for the iterative solution of dense complex symmetr...
We consider symmetric preconditioning strategies for the iterative solution of dense complex symmetr...
Abstract — A methodology is developed to derive algorithms for optimal basis selection by minimizing...
AbstractWe propose two sparsity pattern selection algorithms for factored approximate inverse precon...
Measures for sparse best–basis selection are analyzed and shown to fit into a general framework base...
SIGLEAvailable from British Library Document Supply Centre-DSC:8715.1804(2000-009) / BLDSC - British...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Her...
If P has a prescribed sparsity and minimizes the Frobenius norm ||I-PA||F it is called a sparse appr...
If P has a prescribed sparsity and minimizes the Frobenius norm |I - PA||F, it is called a sparse ap...
We investigate the use of sparse approximate inverse preconditioners for the iterative solution of l...
We consider symmetric preconditioning strategies for the iterative solution of dense complex symmetr...
If P has a prescribed sparsity and minimizes the Frobenius norm |I - PA||F, it is called a sparse ap...
We consider symmetric preconditioning strategies for the iterative solution of dense complex symmetr...
We consider symmetric preconditioning strategies for the iterative solution of dense complex symmetr...
Abstract — A methodology is developed to derive algorithms for optimal basis selection by minimizing...
AbstractWe propose two sparsity pattern selection algorithms for factored approximate inverse precon...
Measures for sparse best–basis selection are analyzed and shown to fit into a general framework base...