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.
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¿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
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
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