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Numerical Linear Algebra and Matrix Factorizations (Hardcover, 1st ed. 2020)
Loot Price: R1,160
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Numerical Linear Algebra and Matrix Factorizations (Hardcover, 1st ed. 2020)
Series: Texts in Computational Science and Engineering, 22
Expected to ship within 12 - 17 working days
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After reading this book, students should be able to analyze
computational problems in linear algebra such as linear systems,
least squares- and eigenvalue problems, and to develop their own
algorithms for solving them. Since these problems can be large and
difficult to handle, much can be gained by understanding and taking
advantage of special structures. This in turn requires a good grasp
of basic numerical linear algebra and matrix factorizations.
Factoring a matrix into a product of simpler matrices is a crucial
tool in numerical linear algebra, because it allows us to tackle
complex problems by solving a sequence of easier ones. The main
characteristics of this book are as follows: It is self-contained,
only assuming that readers have completed first-year calculus and
an introductory course on linear algebra, and that they have some
experience with solving mathematical problems on a computer. The
book provides detailed proofs of virtually all results. Further,
its respective parts can be used independently, making it suitable
for self-study. The book consists of 15 chapters, divided into five
thematically oriented parts. The chapters are designed for a
one-week-per-chapter, one-semester course. To facilitate
self-study, an introductory chapter includes a brief review of
linear algebra.
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