Chaos: making a new science
High performance computing and the grand challenge of climate modeling
Computers in Physics - Modeling the environment
A history of scientific computing
A history of scientific computing
Solving problems in scientific computing using MAPLE and MATLAB
Solving problems in scientific computing using MAPLE and MATLAB
Concurrent scientific computing
Concurrent scientific computing
An introduction to high-performance scientific computing
An introduction to high-performance scientific computing
Modern software tools for scientific computing
Modern software tools for scientific computing
Mathematica package for analysis and control of chaos in nonlinear systems
Computers in Physics
Computational physics
Scientific Computing
An Introduction to Computer Simulation Methods: Applications to Physical Systems
An Introduction to Computer Simulation Methods: Applications to Physical Systems
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Computation has always played a central role in science. A new theory either gains acceptance or dies in direct proportion to its success in explaining known phenomena and predicting new ones, not just qualitatively but also quantitatively. Einstein's theory of relativity predicted not just that light should be deflected in passing by a massive object, such as the Sun, but also the precise amount by which it should be deflected. No computer is needed for such a prediction (indeed, the first such calculation antedated electronic computers by almost 50 years), but a certain minimum amount of arithmetic computation is nonetheless required.