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Computational Methods of Linear Algebra (Pure and Applied Mathematics: A Wiley-Interscience Series of Texts, Monographs and Tracts) by Granville Sewell; Wiley InterScience (Online service) is a nonfiction available to read on EtoBox.
What is Computational Methods of Linear Algebra (Pure and Applied Mathematics: A Wiley-Interscience Series of Texts, Monographs and Tracts) about?
Learn to write programs to solve linear algebraic problems The Second Edition of this popular textbook provides a highly accessible introduction to the numerical solution of linear algebraic problems. Readers gain a solid theoretical foundation for all the methods discussed in the text and learn to write FORTRAN90 and MATLAB(r) programs to solve problems. This new edition is enhanced with new material and pedagogical tools, reflecting the author's hands-on teaching experience, including: A new chapter covering modern supercomputing and parallel programming Fifty percent more examples and exercises that help clarify theory and demonstrate real-world applications MATLAB(r) versions of all the FORTRAN90 programs An appendix with answers to selected problems The book starts with basic definitions and results from linear algebra that are used as a foundation for later chapters. The following four chapters present and analyze direct and iterative methods for the solution of linear systems of equations, linear least-squares problems, linear eigenvalue problems, and linear programming problems. Next, a chapter is devoted to the fast Fourier transform, a topic not often covere
Who reads Computational Methods of Linear Algebra (Pure and Applied Mathematics: A Wiley-Interscience Series of Texts, Monographs and Tracts)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Granville Sewell; Wiley InterScience (Online service)
- Publisher
- Wiley-Interscience
- Published
- 2005
- Language
- EN
- ISBN
- 9780471742135
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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