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Big Practical Guide to Computer Simulations

Alexander K. Hartmann

The techniques in this book are independent of the fields of research, and hence they are suitable for conducting research projects in physics, chemistry, computer science, biology and engineering. This also means that no problem-dependent algorithms are introduced; therefore, this book does NOT explain molecular dynamics, Monte Carlo, finite elements and other special-purpose techniques, which would be beyond the scope of a general-purpose book.

There has been no similar comprehensive book written so far. Currently, one needs many different books to learn all the necessary elements. With this book, however, one basically needs only a second book on field-specific algorithms in order to be fully equipped to perform computer simulations research.

Contents: Programming in C; Software Engineering; Object-oriented Software Development; Algorithms and Data Structures; Debugging and Testing; Libraries; Randomness and Statistics; Information Retrieval, Publishing and Presentations.

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