Stochastic Numerical Methods An Introduction for Students and Scientists
Stochastic Numerical Methods An Introduction for Students and Scientists
- ISBN 13:
9783527411498
- ISBN 10:
3527411496
- Edition: 1st
- Format: Paperback
- Copyright: 08/25/2014
- Publisher: Wiley-VCH
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Summary
Examples included in the book range from phase-transitions and critical phenomena, including details of data analysis (extraction of critical exponents, finite-size effects, etc.), to population dynamics, interfacial growth, chemical reactions, etc. Program listings are integrated in the discussion of numerical algorithms to facilitate their understanding.
From the contents:
- Review of Probability Concepts
- Monte Carlo Integration
- Generation of Uniform and Non-uniform
- Random Numbers: Non-correlated Values
- Dynamical Methods
- Applications to Statistical Mechanics
- Introduction to Stochastic Processes
- Numerical Simulation of Ordinary and
- Partial Stochastic Differential Equations
- Introduction to Master Equations
- Numerical Simulations of Master Equations
- Hybrid Monte Carlo
- Generation of n-Dimensional Correlated
- Gaussian Variables
- Collective Algorithms for Spin Systems
- Histogram Extrapolation
- Multicanonical Simulations