This book provides a seamless approach to numerical algorithms, modern programming techniques and parallel computing.
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'This book is a valuable addition to the literature on numerical algorithms.' Numerical Algorithms
'There is plenty of material for a two-semester sequence, or selected chapters could be used for a one-semester course on numerical linear algebra. The presentation is clear, practical, and lively ... this text would be a very useful reference for statistics students and professionals) seeking to take their statistical computing skills into the parallel realm.' Journal of the American Statistical Association
This book provides a seamless approach to numerical algorithms, modern programming techniques, and parallel computing. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems and parallelization of sparse systems.
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