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008 140925t20152015enka ob 001 0 eng d
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016 7 _a016795594
_2Uk
019 _a884745060
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020 _a0123947847
_q(electronic bk.)
020 _a9780123947840
_q(electronic bk.)
020 _a012394435X
020 _a9780123944351
020 _z9780123944351
035 _a(OCoLC)891671192
_z(OCoLC)884745060
_z(OCoLC)890983815
_z(OCoLC)893919820
_z(OCoLC)972073583
_z(OCoLC)1039531902
050 4 _aQA184.2
_b.F67 2015
072 7 _aMAT
_x002040
_2bisacsh
082 0 4 _a512/.5
_223
100 1 _aFord, William,
_eauthor.
245 1 0 _aNumerical linear algebra with applications : using MATLAB /
_h[electronic resource]
_cby William Ford.
250 _a1st ed.
264 1 _aLondon ;
_aSan Diego, CA :
_bAcademic Press,
_c2015.
264 4 _c�2015
300 _a1 online resource (xxvi, 602 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aIncludes index.
588 0 _aPrint version record.
504 _aIncludes bibliographical references and index.
520 _aDesigned 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.
505 0 _a1. 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.
630 0 0 _aMATLAB.
630 0 7 _aMATLAB.
_2fast
_0(OCoLC)fst01365096
650 0 _aAlgebras, Linear.
650 0 _aNumerical calculations.
650 7 _aMATHEMATICS
_xAlgebra
_xIntermediate.
_2bisacsh
650 7 _aAlgebras, Linear.
_2fast
_0(OCoLC)fst00804946
650 7 _aNumerical calculations.
_2fast
_0(OCoLC)fst01041288
655 4 _aElectronic books.
655 7 _aElectronic books.
_2lcgft
776 0 8 _iPrint version:
_aFord, William.
_tNumerical linear algebra with applications.
_bFirst edition.
_z9780123944351
856 4 0 _3ScienceDirect
_uhttp://www.sciencedirect.com/science/book/9780123944351
999 _c246959
_d246959