J Demmel (31 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Soft cover. Condition: Very Good. Very good soft cover, clean and unmarked. Informal introduction to the design of algorithms and software. Second edition for 2.0 of Lapack.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. Print on Demand. This book explores the evolution of sparse matrix systems, mathematical techniques used in modern computer science. After establishing the historical context and fundamental concepts, the author examines recent developments in the field, including new iterative methods, preconditioners, and parallel algorithms. The book discusses both the practical applications and theoretical foundations of these systems, providing readers with a comprehensive understanding of their significance. Through clear explanations and detailed examples, the author illuminates the advantages and limitations of sparse matrix approaches, offering valuable insights for researchers and practitioners alike. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.

Paperback. Condition: New. Print on Demand. This book examines the computation of scaled diagonally dominant matrices, a type of matrix often arising from mathematical models. The author provides a mathematical framework to analyze the accuracy of computations on these matrices, proving error bounds for eigenvalues, singular values, and eigenvectors. The book extends existing results for bidiagonal and tridiagonal matrices to eigenvalues and singular values of much more general matrices. The ideas are presented in a unified way, providing a new theoretical foundation for understanding the numerical behavior of diagonally dominant matrices, and offers improved algorithms for the accurate computation of eigenvalues, singular values, and eigenvectors. The theoretical framework will be of interest to researchers and practitioners in numerical analysis, while the improved algorithms may prove valuable to scientists and engineers using these matrices in their work. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.

Paperback. Condition: New. Print on Demand. This book reviews the theory and estimation of condition numbers for the nonsymmetric eigenvalue problem. It provides a manual for utilizing LAPACK subroutines STRSNA and STRSEN to estimate condition numbers for singular eigenvalues, eigenvectors, multiple eigenvalues, and invariant subspaces within matrices. The author acknowledges support from NSF through grant ASC-8715728 and the Presidential Young Investigator Award. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.

Paperback. Condition: New. Print on Demand. This book presents an in-depth analysis of multifingered manipulation and control, focusing on the coordination of finger motions in complex grasping tasks. The author, a leading expert in robotics, examines the problem of distributing forces within a robotic hand to achieve effective object manipulation. Drawing on insights from mechanics, control theory, and optimization, the book provides a comprehensive theoretical framework for understanding and designing multifingered robotic systems. The author explores various approaches to multifingered manipulation, including hybrid force/position control and the concept of virtual fingers. Through detailed mathematical derivations and experimental results, the book offers valuable insights into the challenges and opportunities of multifingered robotics, demonstrating its potential for advancing the field of dexterous manipulation. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.

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

Soft cover. Condition: 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.

Gebunden. Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

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

Condition: New. pp. 429.

Condition: New.

Condition: New. Satisfaction Guaranteed or your money back.

Paperback. Condition: Brand New. paperback/cd-rom edition. 351 pages. 11.25x8.75x1.00 inches. In Stock.

Condition: New. Satisfaction Guaranteed or your money back.

Condition: New. Satisfaction Guaranteed or your money back.

Paperback. Condition: New. ScaLAPACK is an acronym for Scalable Linear Algebra Package or Scalable LAPACK. It is a library of high-performance linear algebra routines for distributed memory message-passing MIMD computers and networks of workstations supporting parallel virtual machine (PVM) and/or message passing interface (MPI). It is a continuation of the LAPACK project, which designed and produced analogous software for workstations, vector supercomputers, and shared memory parallel computers. Both libraries contain routines for solving systems of linear equations, least squares problems, and eigenvalue problems. The goals of both projects are efficiency, scalability, reliability, portability, flexibility, and ease of use.ScaLAPACK includes routines for the solution of dense, band, and tridiagonal linear systems of equations, condition estimation and iterative refinement, for LU and Cholesky factorization, matrix inversion, full-rank linear least squares problems, orthogonal and generalized orthogonal factorizations, orthogonal transformation routines, reductions to upper Hessenberg, bidiagonal and tridiagonal form, reduction of a symmetric-definite/ Hermitian-definite generalized eigenproblem to standard form, the symmetric/Hermitian, generalized symmetric/Hermitian, and nonsymmetric eigenproblem, and the singular value decomposition. Prototype codes are provided for out-of-core linear solvers for LU, Cholesky, and QR, the matrix sign function for eigenproblems, an HPF interface to a subset of ScaLAPACK routines, and SuperLU.Software is available in single-precision real, double-precision real, single-precision complex, and double-precision complex. The software has been written to be portable across a wide range of distributed-memory environments such as the Cray T3, IBM SP, Intel series, TM CM-5, networks of workstations, and any system for which PVM or MPI is available.Each Users' Guide includes a CD-ROM containing the HTML version of the ScaLAPACK Users' Guide, the source code for ScaLAPACK and LAPACK, testing and timing programs, prebuilt versions of the library for a number of computers, example programs, and the full set of LAPACK Working Notes.

Condition: As New. Unread book in perfect condition.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 325 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Paperback. Condition: 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. Condition: New. In shrink wrap. Looks like an interesting title!

Paperback. Condition: New. ScaLAPACK is an acronym for Scalable Linear Algebra Package or Scalable LAPACK. It is a library of high-performance linear algebra routines for distributed memory message-passing MIMD computers and networks of workstations supporting parallel virtual machine (PVM) and/or message passing interface (MPI). It is a continuation of the LAPACK project, which designed and produced analogous software for workstations, vector supercomputers, and shared memory parallel computers. Both libraries contain routines for solving systems of linear equations, least squares problems, and eigenvalue problems. The goals of both projects are efficiency, scalability, reliability, portability, flexibility, and ease of use.ScaLAPACK includes routines for the solution of dense, band, and tridiagonal linear systems of equations, condition estimation and iterative refinement, for LU and Cholesky factorization, matrix inversion, full-rank linear least squares problems, orthogonal and generalized orthogonal factorizations, orthogonal transformation routines, reductions to upper Hessenberg, bidiagonal and tridiagonal form, reduction of a symmetric-definite/ Hermitian-definite generalized eigenproblem to standard form, the symmetric/Hermitian, generalized symmetric/Hermitian, and nonsymmetric eigenproblem, and the singular value decomposition. Prototype codes are provided for out-of-core linear solvers for LU, Cholesky, and QR, the matrix sign function for eigenproblems, an HPF interface to a subset of ScaLAPACK routines, and SuperLU.Software is available in single-precision real, double-precision real, single-precision complex, and double-precision complex. The software has been written to be portable across a wide range of distributed-memory environments such as the Cray T3, IBM SP, Intel series, TM CM-5, networks of workstations, and any system for which PVM or MPI is available.Each Users' Guide includes a CD-ROM containing the HTML version of the ScaLAPACK Users' Guide, the source code for ScaLAPACK and LAPACK, testing and timing programs, prebuilt versions of the library for a number of computers, example programs, and the full set of LAPACK Working Notes.

Paperback.