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Physics - Theoretical, Mathematical & Computational Physics | Computational Methods for Physicists - Compendium for Students

Computational Methods for Physicists

Compendium for Students

Sirca, Simon, Horvat, Martin

Original Slovenian version "Racunske metode za fizike" published by DMFA Zaloznistvo, 2010

2013, XX, 716 p.

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  • Explains the core numerical methods and techniques a physicist should know or be aware of
  • Shows how to control errors, stability, and convergence of computations
  • Supports learning and teaching with many comprehensive physics- and engineering-motivated examples, problems and solutions at the ends of chapters
  • Contains numerous appendices with additional topics and hints on how to increase programming efficiency
  • Helps to optimize program execution speeds
  • Gives a wide perspective on the subject and contains a great deal of material for computing in physics
This book helps advanced undergraduate, graduate and postdoctoral students in their daily work by offering them a compendium of numerical methods. The choice of methods pays  significant attention to error estimates, stability and convergence issues as well as to the ways to optimize program execution speeds. Many examples are given throughout the chapters, and each chapter is followed by at least a handful of more comprehensive problems which may be dealt with, for example, on a weekly basis in a one- or two-semester course. In these end-of-chapter problems the physics background is pronounced, and the main text preceding them is intended as an introduction or as a later reference. Less stress is given to the explanation of individual algorithms. It is tried to induce in the reader an own independent thinking and a certain amount of scepticism and scrutiny instead of blindly following readily available commercial tools.

Content Level » Graduate

Keywords » Computational Algorithms - Computational Physics Textbook - Mathematical Methods in Physics - Numerical Analysis Textbook - Numerical Methods in Physics Compendium - Polynomial Equations - Program Execution - Scalar Equations - Solution of Nonlinear Equations - Vector Equations

Related subjects » Computational Intelligence and Complexity - Computational Science & Engineering - Theoretical, Mathematical & Computational Physics - Theoretical and Computational Chemistry

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