Synopses & Reviews
This new text/reference presents an accessible, concise, but rather complete, introduction to the C++ programming language with special emphasis on object-oriented numeric computation for scientific and engineering program development. The description of the language is in compliance with ISO/ANSI standards and is platform independent for maximum versatility. Requiring only basic calculus and linear algebra as prerequisites, the book introduces concepts, techniques, and standard libraries of C++ in a manner that is easy to understand and uses such familiar examples as vectors, matrices, integrals, and complex numbers. It also contains an introduction to C++ programs for applications with many numberic methods that are fundamental to science and engineering computing: polynomial evaluation and interpolation; numeric integration; methods for solving nonlinear equations; systems of linear equations in full, band, and sparse matrix storage formats; and ordinary and partial differential equations. Numerous techniques and examples are provided on how to reduce (C and Fortran) run-time overhead and improve program efficiency. Topics and features: *concise coverage of C++ programming concepts with object-oriented emphasis*numerous examples, coding tools, sample programs and exercises for reinforcement and self-study purposes*develops and uses basic and advanced features, as well as standard libraries of C++*covers many fundamental numeric methods for scientific and engineering computing applications*downloadable user-defined numeric linear algebra library available from author web site With an accessible style, intuitive topic development, and numerous examples, the book is an excellent resource and guide to the power, versatility and efficiency of C++ programming for numeric computing applications. Advanced students, practitioners and professionals in computer science, engineering and scientific computing in general will find the book a practical guide and resource for their work and applications program development.
Review
¿This is one of the few good application-oriented C++ books that I have come across for students and professionals in mathematics, science, and engineering....Yang makes it attractive to all professionals in these fields and promotes the use of good objects-oriented programming practices....This book is complete and well written....it can promote good design practices amoud students in science and engineering. Its precision can make it a valuable reference for professionals in these areas.¿¿ACM COMPUTER REVIEWS
Synopsis
This book is an easy, concise but fairly complete introduction to ISO/ANSI C++ with special emphasis on object-oriented numeric computation. A user-defined numeric linear algebra library accompanies the book and can be downloaded from the web.
Synopsis
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.
Table of Contents
1. Basic Types; 2. Expressions and Statements; 3. Derived Types; 4. Namespaces and Files; 5. Classes; 6. Operator Overloading; 7. Templates; 8. Class Inheritance; 9. Exception Handling; 10. Standard Libraries on Containers and Algorithms; 11. Linear System Solvers; References; Index