03741cam a2200553Mi 4500 ocn891671192 OCoLC 20190328114808.0 m o d cr |n||||||||| 140925t20152015enka ob 001 0 eng d YDXCP eng rda pn YDXCP OCLCQ OCLCO OCLCQ OCLCF UKMGB EBLCP N$T E7B UMI UIU COO B24X7 OPELS DEBBG IDEBK DEBSZ Z5A OCLCQ KUK OCLCQ K6U OCLCO U3W D6H COCUF CNNOR STF LOA CEF CUY MERUC ZCU ICG OCLCQ OCLCO CNCEN OCLCQ OCLCO G3B LVT S8J S9I DKC 016795594 Uk 884745060 890983815 893919820 972073583 1039531902 0123947847 (electronic bk.) 9780123947840 (electronic bk.) 012394435X 9780123944351 9780123944351 (OCoLC)891671192 (OCoLC)884745060 (OCoLC)890983815 (OCoLC)893919820 (OCoLC)972073583 (OCoLC)1039531902 QA184.2 .F67 2015 MAT 002040 bisacsh 512/.5 23 Ford, William, author. Numerical linear algebra with applications : using MATLAB / [electronic resource] by William Ford. 1st ed. London ; San Diego, CA : Academic Press, 2015. �2015 1 online resource (xxvi, 602 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes index. Print version record. Includes bibliographical references and index. Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, Numerical Linear Algebra with Applications contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. It provides necessary mathematical background information for. 1. Matrices -- 2. Linear equations -- 3. Subspaces -- 4. Determinants -- 5. Eigenvalues and eigenvectors -- 6. Orthogonal vectors and matrices -- 7. Vector and matrix norms -- 8. Floating point arithmetic -- 9. Algorithms -- 10. Conditioning of problems and stability of algorithms -- 11. Gaussian elimination and the LU decomposition -- 12. Linear system applications -- 13. Important special systems -- 14. Gram-Schmidt orthonormalization -- 15. The singular value decomposition -- 16. Least-square problems -- 17. Implementing the QR decomposition -- 18. The algebraic eigenvalue problem -- 19. The symmetric eigenvalue problem -- 20. Basic iterative methods -- 21. Krylov subspace methods -- 22. Large sparse eigenvalue problems -- 23. Computing the singular value decomposition -- A. Complex numbers -- B. Mathematical induction -- C. Chebyshev polynominals. MATLAB. MATLAB. fast (OCoLC)fst01365096 Algebras, Linear. Numerical calculations. MATHEMATICS Algebra Intermediate. bisacsh Algebras, Linear. fast (OCoLC)fst00804946 Numerical calculations. fast (OCoLC)fst01041288 Electronic books. Electronic books. lcgft Print version: Ford, William. Numerical linear algebra with applications. First edition. 9780123944351 ScienceDirect http://www.sciencedirect.com/science/book/9780123944351 246959 246959