Applied Numerical Linear Algebra
by James W. Demmel · James W. Demmel
Graduate textbook on the algorithms behind dense and sparse matrix computations: linear systems, least squares, eigenvalue and singular value problems, and iterative methods, with attention to error analysis and performance. Readers learn to choose, analyze, and implement stable numerical linear algebra routines.
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