Big Practical Guide to Computer Simulations

"This unique book is a musthave for any student attempting first steps in computer simulations. Any new student joining my computational physics group is expected to first work through Hartmann's guide before starting a research project." Helmut Katzgraber Associate Professor Texas A&M University "This book is packed with useful information for everyone doing computer simulations. It would have saved me so much time in my earlier work if it had been available then. It should be compulsory reading for students starting off in the field, but experienced workers will also find useful gems, as I did." A Peter Young Research Professor of Physics University of California, Santa Cruz This book teaches you all necessary (problemindependent) tools and techniques needed to implement and perform sophisticated scientific numerical simulations. Thus, it is suited for undergraduate and graduate students who want to become experts in computer simulations in Physics, Chemistry, Biology, Engineering, Computer Science and other fields.

The book presents all the computational techniques and tools needed to start doing scientific research using computer simulations. A reader will have all the necessary basic background after working through this book, including program design, programming in C, fundamental algorithms and data structures, random numbers, debugging, up to data analysis, presentation and publishing. In each of these fields no preliminary knowledge is assumed. The reader will be equipped with a solid background such that he can perform successfully complete projects from the first idea till the final publication. For non-standard applications and further reading, many references to specialized literature are included. All techniques are explained using many examples in C. These C codes, also the solutions to exercises, can be downloaded from a Web page.

The techniques in this book are independent of the field of research, hence they are suitable for conducting research projects in Physics, Chemistry, Computer Science, Biology or Engineering. This also means that no problem-dependent algorithms are introduced, hence this book does NOT explain Molecular Dynamics, Monte Carlo, Finite Elements or other special-purpose techniques, which would be beyond the scope of a general-purpose book.

There are no similar comprehensive books so far. Currently, one needs many different books to learn all necessary background. Having this book, one needs basically only a second book on field-specific algorithms in order to be fully equiped to perform computer simulations research.