株式会社極東書店トップ商品一覧C++ and Object-Oriented Numeric Computing for Scientists and Engineers. Softcover reprint of the original 1st ed. 2001

商品詳細

C++ and Object-Oriented Numeric Computing for Scientists and Engineers. Softcover reprint of the original 1st ed. 2001

C++ and Object-Oriented Numeric Computing for Scientists and Engineers. Softcover reprint of the original 1st ed. 2001

・ISBN 978-1-4612-6566-5 paper EUR 64.99

¥17,371.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Yang, Daoqi,
出版社 (Springer-Verlag New York Inc., US)
出版年月2012
ページ数440 pp.
言語ENG
ニュース番号<A04-76728>

解説

This book is intended to be an easy, concise, but rather complete, introduc- the ISO/ANSI C++ programming language with special empha- tion to sis on object-oriented numeric computation for students and professionals in science and engineering. The description of the language is platform- independent. Thus it applies to different operating systems such as UNIX, Linux, MacOS, Windows, and DOS, as long as a standard C++ compiler is equipped. The prerequisite of this book is elementary knowledge of cal- culus and linear algebra. However, this prerequisite is hardly necessary if this book is going to be used as a textbook for teaching C++ and all the sections on numeric methods are skipped. Programming experience in an- other language such as FORTRAN, C, Ada, Pascal, Maple, or Matlab will certainly help, but is not presumed. All C++ features are introduced in an easy way through concepts such as functions, complex numbers, vectors, matrices, and integrals, which are familiar to every student and professional in science and engineering. In the final chapter, advanced features that are not found in FORTRAN, C, Ada, or Matlab, are illustrated in the context of iterative algorithms for linear systems such as the preconditioned conjugate gradient (CG) method and generalized minimum residual (GMRES) method. Knowledge of CG, GMRES, and preconditioning techniques is not presumed and they are ex- plained in detail at the algorithmic level.