図書

Software, environments, and tools

図書を表すアイコン

Software, environments, and tools

資料種別
図書
著者
Dongarra, J. J.
出版者
SIAM
出版年
-
資料形態
ページ数・大きさ等
-
NDC
-
すべて見る

資料に関する注記

一般注記:

Editor-in-Chief: Jack J. Dongarra

関連資料・改題前後資料

Introduction to high performance scientific computing外部サイトLAPACK users' guide外部サイトNumerical linear algebra for high-performance computers外部サイトSpectral methods in MATLAB外部サイトOrthogonal polynomials in MATLAB : exercises and solutions外部サイトThe Lanczos method : evolution and application外部サイトParallel processing for scientific computing外部サイトTemplates for the solution of algebraic eigenvalue problems : a practical guide外部サイトLAPACK users' guide外部サイトApplications on advanced architecture computers外部サイトNumerically solving polynomial systems with Bertini外部サイトLAPACK95 users' guide外部サイトGraph algorithms in the language of linear algebra外部サイトARPACK users' guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods外部サイトScaLAPACK users' guide外部サイトAccuracy and reliability in scientific computing外部サイトThe science of computer benchmarking外部サイトImplicit filtering外部サイトThe Lanczos and conjugate gradient algorithms : from theory to finite precision computations外部サイトPLTMG, a software package for solving elliptic partial differential equations : users' guide 8.0外部サイトUnderstanding search engines : mathematical modeling and text retrieval外部サイトUnderstanding search engines : mathematical modeling and text retrieval外部サイトAutomatic differentiation in MATLAB using ADMAT with applications外部サイトLectures on finite precision computations外部サイトTemplates for the solution of linear systems : building blocks for iterative methods外部サイトA tutorial on elliptic PDE solvers and their parallelization外部サイトPerformance optimization of numerically intensive codes外部サイトThe art of differentiating computer programs : an introduction to algorithmic differentiation外部サイトSimulating, analyzing, and animating dynamical systems : a guide to XPPAUT for researchers and students外部サイトBits and bugs : a scientific and historical review of software failures in computational science外部サイトPETSc for partial differential equations : numerical solutions in C and Python外部サイトParallel MATLAB for multicore and multinode computers外部サイト

書店で探す

目次

  • Introduction to high performance scientific computing

  • LAPACK users' guide

  • Numerical linear algebra for high-performance computers

  • Spectral methods in MATLAB

  • Orthogonal polynomials in MATLAB : exercises and solutions

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資料種別
図書
出版事項
並列タイトル等
Software, environments, tools
出版地(国名コード)
us
本文の言語コード
en
対象利用者
一般
一般注記
Editor-in-Chief: Jack J. Dongarra
関連情報
Introduction to high performance scientific computing
LAPACK users' guide
Numerical linear algebra for high-performance computers
Spectral methods in MATLAB
Orthogonal polynomials in MATLAB : exercises and solutions
The Lanczos method : evolution and application
Parallel processing for scientific computing
Templates for the solution of algebraic eigenvalue problems : a practical guide
LAPACK users' guide
Applications on advanced architecture computers
Numerically solving polynomial systems with Bertini
LAPACK95 users' guide
Graph algorithms in the language of linear algebra
ARPACK users' guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods
ScaLAPACK users' guide
Accuracy and reliability in scientific computing
The science of computer benchmarking
Implicit filtering
The Lanczos and conjugate gradient algorithms : from theory to finite precision computations
PLTMG, a software package for solving elliptic partial differential equations : users' guide 8.0
Understanding search engines : mathematical modeling and text retrieval
Understanding search engines : mathematical modeling and text retrieval
Automatic differentiation in MATLAB using ADMAT with applications
Lectures on finite precision computations
Templates for the solution of linear systems : building blocks for iterative methods
A tutorial on elliptic PDE solvers and their parallelization
Performance optimization of numerically intensive codes
The art of differentiating computer programs : an introduction to algorithmic differentiation
Simulating, analyzing, and animating dynamical systems : a guide to XPPAUT for researchers and students
Bits and bugs : a scientific and historical review of software failures in computational science
PETSc for partial differential equations : numerical solutions in C and Python
Parallel MATLAB for multicore and multinode computers