ISBN: 9780898714470 - lapack users' guide 3rd edition paperback: 9 (software, environments and tools, series number 9) (31 resultados)

Paperback. Condición: Good. LAPACK is a library of numerical linear algebra subroutines designed for high performance on workstations, vector computers, and shared memory multiprocessors. Release 3.0 of LAPACK introduces new routines and extends the functionality of existing routines. The most significant new routines and functions include: 1. a faster singular value decomposition computed by divide-and-conquer 2. faster routines for solving rank-deficient least squares problems: Using QR with column pivoting using the SVD based on divide-and-conquer 3. new routines for the generalized symmetric eigenproblem: faster routines based on divide-and-conquer routines based on bisection/inverse iteration, for computing part of the spectrum 4. faster routine for the symmetric eigenproblem using relatively robust eigenvector algorithm 5. new simple and expert drivers for the generalized nonsymmetric eigenproblem, including error bounds 6. solver for generalized Sylvester equation, used in 5 7.computational routines used in 5 Each Users' Guide comes with a 'Quick Reference Guide' card.…

Paperback. Condición: Good. LAPACK is a library of numerical linear algebra subroutines designed for high performance on workstations, vector computers, and shared memory multiprocessors. Release 3.0 of LAPACK introduces new routines and extends the functionality of existing routines. The most significant new routines and functions include: 1. a faster singular value decomposition computed by divide-and-conquer 2. faster routines for solving rank-deficient least squares problems: Using QR with column pivoting using the SVD based on divide-and-conquer 3. new routines for the generalized symmetric eigenproblem: faster routines based on divide-and-conquer routines based on bisection/inverse iteration, for computing part of the spectrum 4. faster routine for the symmetric eigenproblem using relatively robust eigenvector algorithm 5. new simple and expert drivers for the generalized nonsymmetric eigenproblem, including error bounds 6. solver for generalized Sylvester equation, used in 5 7.computational routines used in 5 Each Users' Guide comes with a 'Quick Reference Guide' card.…

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paperback. Condición: Very Good. The pages are clean and unmarked. The cover has some mild bumping to the corners.

Soft cover. Condición: As New. 3rd Edition. This is a fine, as new, paperback third edition copy, with the Quick Reference guide to the Driver Routines laid in, blue spine. 407 pages. MEDIA SHIPPING ONLY, extra for airmail or international shipping.

Soft cover. Condición: Very good. No jacket. Third edition. Top corners of front and back covers are creased. Spine is sunned, but text is legible. Spine is slightly creased, but binding is secure. Inside is clean and unmarked.

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Condición: New. 1987. 3rd Edition. paperback. . . . . .

Paperback. Condición: New. Third Edition. LAPACK is a library of numerical linear algebra subroutines designed for high performance on workstations, vector computers, and shared memory multiprocessors. Release 3.0 of LAPACK introduces new routines and extends the functionality of existing routines. The most significant new routines and functions include: a faster singular value decomposition computed by divide-and-conquer; faster routines for solving rank-deficient least squares problems: using QR with column pivoting; using the SVD based on divide-and-conquer; new routines for the generalized symmetric eigenproblem: faster routines based on divide-and-conquer; routines based on bisection/inverse iteration, for computing part of the spectrum; faster routine for the symmetric eigen problem using "relatively robust eigenvector algorithm"; new simple and expert drivers for the generalized nonsymmetric eigenproblem, including error bounds; solver for generalized Sylvester equation, used in computational routines Each Users' Guide comes with a "Quick Reference Guide" card. …

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Paperback. Condición: Brand New. 3rd edition. 407 pages. 10.75x8.00x1.00 inches. In Stock.

Condición: New. 1987. 3rd Edition. paperback. . . . . . Books ship from the US and Ireland.

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paperback. Condición: Sehr gut. 407 Seiten; 9780898714470.2 Gewicht in Gramm: 500.

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Taschenbuch. Condición: Neu. Neuware - LAPACK is a library of numerical linear algebra subroutines designed for high performance on workstations, vector computers, and shared memory multiprocessors. Release 3.0 of LAPACK introduces new routines and extends the functionality of existing routines. The most significant new routines and functions include: a faster singular value decomposition computed by divide-and-conquer; faster routines for solving rank-deficient least squares problems: using QR with column pivoting; using the SVD based on divide-and-conquer; new routines for the generalized symmetric eigenproblem: faster routines based on divide-and-conquer; routines based on bisection/inverse iteration, for computing part of the spectrum; faster routine for the symmetric eigen problem using "relatively robust eigenvector algorithm"; new simple and expert drivers for the generalized nonsymmetric eigenproblem, including error bounds; solver for generalized Sylvester equation, used in computational routines Each Users' Guide comes with a 'Quick Reference Guide' card.…

Paperback. Condición: New. Third Edition. LAPACK is a library of numerical linear algebra subroutines designed for high performance on workstations, vector computers, and shared memory multiprocessors. Release 3.0 of LAPACK introduces new routines and extends the functionality of existing routines. The most significant new routines and functions include: a faster singular value decomposition computed by divide-and-conquer; faster routines for solving rank-deficient least squares problems: using QR with column pivoting; using the SVD based on divide-and-conquer; new routines for the generalized symmetric eigenproblem: faster routines based on divide-and-conquer; routines based on bisection/inverse iteration, for computing part of the spectrum; faster routine for the symmetric eigen problem using "relatively robust eigenvector algorithm"; new simple and expert drivers for the generalized nonsymmetric eigenproblem, including error bounds; solver for generalized Sylvester equation, used in computational routines Each Users' Guide comes with a "Quick Reference Guide" card. …

paperback. Condición: New. In shrink wrap. Looks like an interesting title.

Condición: gut. LAPACK Users' Guide (Software, Environments and Tools, Band 9) In englischer Sprache. pages.