NUMERICAL METHODS FOR LARGE EIGENVALUE PROBLEMS
NUMERICAL METHODS FOR LARGEEIGENVALUE PROBLEMS Second editionYousef SaadCopyrightc 2011 bythe Society for Industrial and Applied MathematicsContentsPreface to Classics EditionxiiiPrefacexv1 Background in Matrix Theory and Linear . . . . . . . . . . . . . . . . . . . . . . . . . . . . Matrices and Eigenvalues . . . . . . . . . . . . . . . of Matrices . . . . . . . . . . . . . . . . . . . . . . . with Special Srtuctures . . . . . . . . Matrices.
software for large eigenvalue problems. Today one has a flurr y to choose from and the activity in software development does not seem to be abating. A number of new algorithms appeared in this period as well. I can mention at the outset the Jacobi-Davidson algorithm and the idea of implicit restarts, both discussed in this
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