An Introduction to Computer Simulation Methods Applications to Physical Systems: Part II [Harvey Gould, Jan Tobochnik] on *FREE* shipping on. An Introduction to Computer Simulation Methods. Article (PDF Available) · January with 8, Reads. Export this citation. Harvey Gould · Jan Tobochnik at. An Introduction to Computer Simulation Methods: Applications to Physical Systems,. 2nd Edition. Harvey Gould, Jan Tobochnik, Dawn C.

Author: Shakalmaran Tuzuru
Country: Cameroon
Language: English (Spanish)
Genre: Software
Published (Last): 22 June 2011
Pages: 245
PDF File Size: 20.65 Mb
ePub File Size: 18.97 Mb
ISBN: 985-8-31020-748-5
Downloads: 3387
Price: Free* [*Free Regsitration Required]
Uploader: Shakalkis

The nature of object-oriented programming and various computer languages also is considered.

We introduce cellular automata, neural networks, genetic algorithms, and growing networks to explore co,puter concepts of self-organization and complexity. Applications to sandpiles, fluids, earthquakes, and other areas are discussed. We also introduce the ideas of critical phenomena in the context of the percolation transition, including critical exponents, scaling relations, and the renormalization group. We study affine transformations in order to visualize objects in three dimensions.

Simualtion explore the behavior of oscillatory systems, including the simple harmonic oscillator, a simple pendulum, electrical circuits, and introduce the concept of phase space. A simple algorithm for solving first-order differential equations numerically also is discussed. We introduce the concept of fractal dimension and discuss several processes that generate fractal objects. We discuss the physics of wave phenomena and simulstion motivation and use of Fourier transforms.


Select a document title to view a document’s information. We emphasize that the methods we have discussed can be applied to a wide variety of natural phenomena and contexts. We introduce several geometrical concepts associated with percolation, including the percolation threshold, clusters, and cluster finding algorithms.

Introduction to Computer Simulation Methods

We apply Newton’s laws of motion to planetary motion and other systems of a few particles and explore some of the counter-intuitive consequences of Newton’s laws. This file is included in the full-text index. Applications to the Ising model and various particle systems are discussed and more efficient Monte Carlo simulaation are introduced.

Some of the basic ideas of equilibrium statistical mechanics and kinetic theory are introduced. We compute the electric fields due to static and moving charges, describe methods for computing the electric potential in boundary value problems, and solve Maxwell’s equations numerically.

We compute how objects appear at relativistic speeds and in the vicinity of a large spherically symmetric mass.

We simulate the dynamical behavior of many particle systems such as dense gases, liquids, and solids and compputer their qualitative features.

The generation of random number sequences also is discussed. Random processes are introduced in the context of several simple physical systems, including random walks on a lattice, polymers, and diffusion controlled chemical reactions. Download Updates and corrections to the third edition. Frontmatter for an Introduction to Computer Simulation Methods.

We discuss how to simulate thermal systems using a variety of Monte Carlo methods including the traditional Metropolis algorithm. We introduce some of the core syntax of Java in the context of simulating the motion of falling particles near the Earth’s surface.


Simple classical and Monte Carlo methods including importance sampling are illustrated in the context of the numerical evaluation of definite integrals. We discuss several numerical methods needed to simulate the motion of particles using Newton’s laws and introduce interfaces, an important Java construct that makes it possible for unrelated objects to declare that they perform the same methods.

We discuss numerical solutions of the time-independent and time-dependent Schroedinger equation and describe several Monte Carlo methods for estimating the ground state of quantum systems. This material has 23 associated documents.

The importance of computers in physics and the nature of computer simulation is discussed. We then solve Euler’s equation of motion for rigid body dynamics using the quaternion representation of rotations.

Introduction to Computer Simulation Methods

This file has previous versions. We will find that the use of the computer to do numerical experiments will help us gain insight into the nature of chaos. We study simple nonlinear deterministic models that exhibit chaotic behavior.