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J. J. Dongarra,J. R. Bunch,C. B. Moler,G. W. Stewart
Author : J. J. Dongarra,J. R. Bunch,C. B. Moler,G. W. Stewart Publisher : SIAM Page : 375 pages File Size : 40,9 Mb Release : 1979-01-01 Category : Computers ISBN : 1611971810
LINPACK Users' Guide by J. J. Dongarra,J. R. Bunch,C. B. Moler,G. W. Stewart Pdf
The authors of this carefully structured guide are the principal developers of LINPACK, a unique package of Fortran subroutines for analyzing and solving various systems of simultaneous linear algebraic equations and linear least squares problems. This guide supports both the casual user of LINPACK who simply requires a library subroutine, and the specialist who wishes to modify or extend the code to handle special problems. It is also recommended for classroom work.
LAPACK Users' Guide by E. Anderson,Z. Bai,C. Bischof,S. Blackford,J. Dongarra,J. Du Croz,A. Greenbaum,S. Hammarling,A. McKenney,D. Sorensen Pdf
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.
ARPACK Users' Guide by Richard B. Lehoucq,Danny C. Sorensen,Chao Yang Pdf
This book is a guide to understanding and using the software package ARPACK to solve large algebraic eigenvalue problems. The software described is based on the implicitly restarted Arnoldi method, which has been heralded as one of the three most important advances in large scale eigenanalysis in the past ten years. The book explains the acquisition, installation, capabilities, and detailed use of the software for computing a desired subset of the eigenvalues and eigenvectors of large (sparse) standard or generalized eigenproblems. It also discusses the underlying theory and algorithmic background at a level that is accessible to the general practitioner.
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.
Applied Parallel Computing by Bo Kagström,Erik Elmroth,Jack Dongarra,Jerzy Wasniewski Pdf
This book constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Applied Parallel Computing, PARA 2006. It covers partial differential equations, parallel scientific computing algorithms, linear algebra, simulation environments, algorithms and applications for blue gene/L, scientific computing tools and applications, parallel search algorithms, peer-to-peer computing, mobility and security, algorithms for single-chip multiprocessors.
Management and Office Information Systems by Shi-Kuo Chang Pdf
Decision making is a very complex phenomenon. Modern decision makers must deal with very complex problems which are constantly changing and often ill structured, making modeling and analysis difficult. In order to provide support for the decision makers, computer-based information systems are designed to collect, store, process, and transport information. Recent advances in computer technol ogy, data communications, database systems, office automation, and knowledge engineering have made possible the design of very sophisticated information sys tems. However, rapid technological advances also create many problems, not the least of which is the lack of integration among the various disciplines in infor mation system design. Without such integration, a costly computer-based infor mation system is at best partially useful and at worst totally useless. The aim of this book, therefore, is to examine the various issues involved in designing man agement information systems, decision support systems, and office information systems for increasing productivity and providing decision support. This book is the outcome of the Workshop on Management and Office Infor mation Systems, which was organized by the Knowledge Systems Institute and held at Chicago, Illinois, from June 28 to 30, 1982. Twenty-seven papers from the working papers presented at that workshop were selected for inclusion in the present volume, which is organized into five parts: (I) organization structures and management, (II) decision support systems, (III) database systems, (IV) office information systems, and (V) systems and applications.
This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014. Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions.