A First Course in Computational Physics and Object-Oriented Programming with C++ / Edition 1

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C++ is rapidly becoming the programming language of choice for science and engineering applications because of its rich object-oriented features. Intended for beginning and intermediate programmers, this book surveys the application of C++ to technical problems. Modern object-oriented software engineering tools are employed to simplify the presentation and all aspects of modern C++ programming practices of relevance to scientific programming are surveyed.

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Editorial Reviews

From the Publisher
"A great first programming book for computational science courses, as well as a solid resource for experienced scientific programmers."

"Physical Science and engineering students who are either very diligent or have some background in programming could learn C++ very well from Yeveck's text."
Jan Tobochnik, Physics Today

"The best feature of the book is its good and concise description of the C++ language. The book would be a good fit for instructors who prefer to teach programming in detail. This would be the ideal text for the student who is considering a career in scientific programming, and wants to learn C++ very proficiently."
American Journal of Physics

"The book covers a reasonably broad range of topics, including brief discussion of computer and software structure, object-oriented programming..."
David P. Maroun for Physics in Canada

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Product Details

  • ISBN-13: 9780521827782
  • Publisher: Cambridge University Press
  • Publication date: 10/15/2004
  • Edition description: Book & CD-ROM
  • Edition number: 1
  • Pages: 418
  • Product dimensions: 7.44 (w) x 9.69 (h) x 1.02 (d)

Table of Contents

Part I. Basic C++ Programming: 1. Introduction; 2. Installing and running the Dev-C++ programming environment; 3. Introduction to computer and software architecture; 4. Fundamental concepts; 5. Writing a first program; 6. An introduction to object-oriented analysis; 7. C++ object-oriented programming syntax; 8. Control logic and iteration; 9. Basic function properties; 10. Arrays and matrices; 11. Input and output streams; Part II. Numerical Analysis: 12. Numerical error analysis - derivatives; 13. Integration; 14. Root finding procedures; 15. Differential equations; 16. Linear algebra; Part III. Pointers, References and Dynamic Memory Allocation: 17. References; 18. Pointers and dynamic memory allocation; 19. Advanced memory management; 20. The static keyword, multiple and virtual inheritance, templates and the STL library; 21. Program optimization in C++; Part IV. Advanced Numerical Examples: 22. Monte-Carlo methods; 23. Parabolic partial differential equation solvers; Part V. Appendices: Appendix A. Overview of MATLAB; Appendix B. The Borland C++ compiler; Appendix C. The Linux/Windows g++ compiler and profiler; Appendix D. Calling FORTRAN programs from C++; Appendix E. C++ coding standard; References.

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Customer Reviews

Average Rating 5
( 2 )
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Sort by: Showing all of 2 Customer Reviews
  • Anonymous

    Posted August 1, 2005

    gee...that Yevick guy did a fine review

    I recommend this book as a self-study aid to those learning C++ for mathematical physics or gratuate work in engineering. The self-study subjects are C++ syntax and symantics, C++ as an object oriented development language, C++ in physics oriented numerical analysis. The exercises used are lightweight mathematical physics problems. No answers are given. This is not a computational physics text. The focus is on the self-study subjects. I personally was not disappointed in the self-study subject focus since I've been trying to learn C++ OOP for a long time and this book meets that need. It certainly wasn't disappointing that the exercises were in my field of study rather than just simple computer manipulation problems either. I would have given this book four stars based on the mis-titling but it is so good as a C++ OOP self-study text it deserves a five.

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  • Anonymous

    Posted May 18, 2005

    From the Author

    This book was developed during many years of teaching scientific programming to engineers and scientists in both electrical engineering and physics courses. About 1/3 of the text is accessible to beginning programmers even at a high-school level, while the last part of the book can serve as a second-term undergraduate scientific programming course or as a reference text. While the title indicates that a major focus of the text is computational physics, the book contains problems and examples from numerous scientific and engineering disciplines and can be employed across a wide variety of course offerings. Because of the practical difficulties faced by beginning students, a first course in scientific programming generally requires very significant personal intervention by the instructor or laboratory assistant. This book effectively removes this issue by providing a common base of free Windows software on CD-ROM that is meticulously documented in the text (the software is also available for Linux). The reader is introduced to programming through numerous assignments containing real-world technical problems. The assignments at first contain nearly the entire program to be developed; as the book develops, however, fewer code sections are provided. This method allows the user to absorb proper program structure while avoiding frustrating and confusing stylistic traps. A solution manual is made available to instructors through Cambridge University Press (see their website for errata) while the CD-ROM also contains copies of all programs presented in the text. This book presents a compact but completely unified picture of modern programming practice as it applies to scientific programming. The fundamental, underlying principles of the C++ language and scientific programming are stressed in order to simplify retention of complex C++ syntax and of the mathematical and physical content. More involved topics in numerical analysis, scientific programming methods and C++ are presented in an intuitive and easily-understood manner. Examples of the subjects covered are: software engineering principles (UML), numerical analysis, scientific graphics programming, the Standard Template Library (STL), Monte-Carlo methods including the Metropolis and multicanonical techniques, partial differential equation solvers, calling Fortran from C++, C++ program optimization.

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