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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.
- Sales Rank: #1774987 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2005-04-25
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.02" w x 7.44" l, 2.60 pounds
- Binding: Hardcover
- 414 pages
- Used Book in Good Condition
Review
"A great first programming book for computational science courses, as well as a solid resource for experienced scientific programmers."
>Choice
"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
About the Author
David Yevick is a Professor of Physics at the University of Waterloo. He has been engaged for 30 years in scientific programming in various fields of optical communications and solid state physics at numerous university and industrial establishments, where he performed pioneering work on the numerical modelling of optical communication devices and systems. Dr Yevick is currently a Fellow of the American Physical Society, the Institute of Electrical and Electronics Engineers and the Optical Society of America as well as a registered Professional Engineer (Ontario). He has taught scientific and engineering programming for over 20 years and has authored or co-authored over 170 refereed journal articles.
Most helpful customer reviews
14 of 17 people found the following review helpful.
From the Author:
By cykelsamlare
***Note that a condensed version of the material in this book omitting the problem sets and some chapters has recently been incorporated together with a similar introduction to Octave (a free language similar to Matlab) and Java in "A Short Course in Computational Science and Engineering: C++ Java and Octave Numerical Programming"***
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.
7 of 8 people found the following review helpful.
the best
By stochasticmind
This is a very good book, the codes are clear and
written from a computational point of view. It is easy
to set up the software. I agree with the authors self
remraks except that he should wirte up some harder examples
in the end. But still, the best.
14 of 16 people found the following review helpful.
not as abstract as a pure physics text
By W Boudville
This book can serve several audiences. It teaches both computational physics and the use of C++ in writing object oriented code. Clearly, if you are already know one of these topics, but not the other, then the book is a natural fit. You can concentrate on what is essentially half the book.
The more challenging task is if you are unfamiliar with both. Well, it is reasonable to assume that you know some physics, say at the first year undergraduate level. And perhaps you have done some programming, in a procedural language like Fortran or Basic.
The amount of abstractions, or rather the level of difficulty in this, is less than in a typical physics text that is explaining Maxwell's Equations or Einstein's Special Relativity. The physics in the book revolves around trying to compute certain numbers in an efficient manner.
While from a programming standpoint, computational physics examples are given as an important use case, to help the student grasp the OO concepts.
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