Computational Methods in Physics, Chemistry and Biology: An Introduction

Computational Methods in Physics, Chemistry and Biology offers an accessible introduction to key computational techniques used within science, including quantum mechanics, dynamics, evolutionary methods and molecular dynamics. Assuming only a limited background in computational methods, this book provides the reader with a series of comprehensive examples, problems and practical–based tasks from the basics through to more complex ideas and techniques.
Beginning with an introduction to a numerical solution of Schrödinger′s Equation the text moves on to discuss perturbation theory, variational calculations, diffusion, dynamics, Monte Carlo simulations and genetic algorithms. Aimed at those new to the field, the book will enable the reader to develop and implement computational methods for the solutions of a range of problems in science.
Features:
∗ An accessible introduction covering a range of essential techniques applicable to key problems
∗ Numerous examples, problems and practical–based exercises.
∗ A supplementary website including solutions
This is essential reading for undergraduates taking courses in computational physics, or numerical methods. Also useful to students studying engineering, applied mathematics, computational chemistry and mathematical biology.

Spis treści:
Preface
Introduction
Numerical Solutions to Schrö dinger′s Equation
Approximate Methods
Matrix Methods
Deterministic Simulations
Stochastic Simulations
Percolation Theory
Evolutionary Methods
Molecular Dynamics
Appendices
References
Index

Okładka tylna:
Computational Methods in Physics, Chemistry and Biology offers an accessible introduction to key computational techniques used within science, including quantum mechanics, dynamics, evolutionary methods and molecular dynamics. Assuming only a limited background in computational methods, this boo k provides the reader with a series of comprehensive examples, problems and practical–based tasks from the basics through to more complex ideas and techniques.
Beginning with an introduction to a numerical solution of Schrödinger′s Equation the text moves on to discuss perturbation theory, variational calculations, diffusion, dynamics, Monte Carlo simulations and genetic algorithms. Aimed at those new to the field, the book will enable the reader to develop and implement computational methods for the solutions of a range of problems in science.
Features:
∗ An accessible introduction covering a range of essential techniques applicable to key problems
∗ Numerous examples, problems and practical–based exercises.
∗ A supplementary website including solutions
This is essential reading for undergraduates taking courses in computational physics, or numerical methods. Also useful to students studying engineering, applied mathematics, computational chemistry and mathematical biology.