Dodig-Crnkovic G. History of computer science

Massachusetts Institute of Technology, The MIT Press, Massachusetts, London, 1990, 394 pp. - ISBN 0-262-01121-2 While on a war assignment in England in 1943, John von Neumann wrote to a mathematical colleague in Princeton that he had recently developed "an obscene interest in computation" and would be returning home "a better and impurer man." Thus began the computing career of that illustrious computer scientist. It was a short career, lasting l...

Wiley-Interscience, 2006. - 712 Pages. Mathematical Methods in Science and Engineering is not only appropriate as a text for advanced undergraduate and graduate physics programs, but is also appropriate for engineering science and mechanical engineering departments due to its unique chapter coverage and easily accessible style. Readers are expected to be familiar with topics typically covered in the first three years of science and engineering...

Springer, 2011, 470 p. This highly practical Guide to Geometric Algebra in Practice reviews algebraic techniques for geometrical problems in computer science and engineering, and the relationships between them. The topics covered range from powerful new theoretical developments, to successful applications, and the development of new software and hardware tools.

Edited by A.J.G. Hey and R.W. Allen, Addison-Wesley Publishing, New York, 1996, 318 pp. - ISBN 0-201-48991-0 Feynman had an interest in computing for many years, dating back to the Manhattan project and the modeling of the plutonium implosion bomb. In "Los Alamos from Below", published in "Surely You're Joking, Mr. Feynman!", Feynman recounts how he was put in charge of the 'IBM group' to calculate the energy release during implosion. Even in tho...

Academic Press, 2001. - 664 Pages. Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More im...

Academic Press, 1974. - 312 Pages. The development of the high-speed digital computer has had, and continues to have, a revolutionary effect on modern applied science. Immediate evidence is available in the form of a large number of computer-generated numerical solutions of fundamental, unsolved systems of mathematical equations. The diversity of fields being affected includes lunar and planetary astrodynamics, wave diffraction, shock waves, lam...

Second Edition, 1989 The new and exciting field of computational science, and in particular simulational science, has seen rapid change since the first edition of this book came out. New methods have been found, fresh points of view have emerged, and features hidden so far have been uncovered. Almost all the methods presented in the first addition have seen such a development, though the basics have remained the same. But not just the methods hav...

Wiley-Interscience, 1997. ISBN: 0471115908 Help students master real-world problems as they develop new insight into the physical sciences Problems in the physical sciences that once baffled and frustrated scientists can now be solved easily with the aid of a computer. Computers can quickly complete complex calculations, provide numerical simulations of natural systems, and explore the unknown. Computational Physics shows students how to use co...

Springer Science+Business Media, 2009, Pages: 689 After a few initial chapters on the basics of Mathematica, the logic of the book is controlled by group theory. It continues to teach Mathematica by example as the need arises, so an important use is always at hand for any new operator that is taught. To many science students, this is a greatly preferred way of learning a new computer language. The main part of the book follows a strictly logic...

Springer, 2007. - 548 Pages. Positioning itself at the common boundaries of several disciplines, this work provides new perspectives on modern nanoscale problems where fundamental science meets technology and computer modeling. In addition to well-known computational techniques such as finite-difference schemes and Ewald summation, the book presents a new finite-difference calculus of Flexible Local Approximation Methods (FLAME) that qualitativ...