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Physics - Theoretical, Mathematical & Computational Physics | Basic Concepts in Computational Physics

Basic Concepts in Computational Physics

Stickler, Benjamin, Schachinger, Ewald

2014, XVII, 377 p. 95 illus.

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  • Deterministic methods are presented on a par with stochastic methods
  • Mathematically precise, but driven by the needs of physicists
  • Covers modern applications
  • Extensive appendices deepen the knowledge and present the mathematical basis
With the development of ever more powerful computers a new branch of physics and engineering evolved over the last few decades: Computer Simulation or Computational Physics. It serves two main purposes:
- Solution of complex mathematical problems such as, differential equations, minimization/optimization, or high-dimensional sums/integrals.
- Direct simulation of physical processes, as for instance, molecular dynamics or Monte-Carlo simulation of physical/chemical/technical processes.
Consequently, the book is divided into two main parts: Deterministic methods and stochastic methods. Based on concrete problems, the first part discusses numerical differentiation and integration, and the treatment of ordinary differential equations. This is augmented by notes on the numerics of partial differential equations. The second part discusses the generation of random numbers, summarizes the basics of stochastics which is then followed by the introduction of various Monte-Carlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. All this is again augmented by numerous applications from physics. The final two chapters on Data Analysis and Stochastic Optimization share the two main topics as a common denominator. The book offers a number of appendices to provide the reader with more detailed information on various topics discussed in the main part. Nevertheless, the reader should be familiar with the most important concepts of statistics and probability theory albeit two appendices have been dedicated to provide a rudimentary discussion.

Content Level » Upper undergraduate

Keywords » Calculation Deterministic Methods - Calculation Stochastic Methods - Data Analysis Experiment - Monte Carlo Method - Numerical Solution Equation - Textbook Computational Physics - Textbook Numerical Physics

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

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Distribution rights for India: Researchco Book Centre, New Delhi, India

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