## Computational PhysicsConveying the excitement and allure of physics, this progressive text uses a computational approach to introduce students to the basic numerical techniques used in dealing with topics and problems of prime interest to today's physicists. *Contains a wealth of topics to allow instructors flexibility in the choice of topics and depth of coverage: *Examines projective motion with and without realistic air resistance. * Discusses planetary motion and the three-body problem. * Explores chaotic motion of the pendulum and waves on a string. * Considers topics relating to fractal growth and stochastic systems. * Offers examples on statistical physics and quantum mechanics. *Contains ample explanations of the necessary algorithms students need to help them write original programs, and provides many example programs and calculations for reference. * Students and instructors may access sample programs through the authors web site: http: //www.physics.purdue.edu/ ng/comp_phys.html *Includes a significant amount of additional material and problems to give students and instructors flexibility in the choice of topics and depth of coverage |

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### Contents

REALISTIC PROJECTILE MOTION | 12 |

OSCILLATOHY MOTION AND CHAOS | 42 |

V | 48 |

Copyright | |

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### Common terms and phrases

accompany Computational Physics algorithm amino acids amplitude approach approximation array assume atoms average ball behavior blocks call display Carlo method chaotic Chapter cluster consider corresponding cosine curve described differential equations distribution end sub energy Euler method Euler-Cromer method example field flip force Fourier components fractal frequency grid Gutenberg-Richter law harmonic initial conditions input prompt interaction Ising model large number lattice length Lennard-Jones potential loop magnetization mat redim molecular dynamics Monte Carlo Monte Carlo method motion n_particles n_points neuron nmax Nyquist frequency obtained omega option nolet orbit oscillator parameters particles pendulum plot potential Prentice Hall 1997 problem protein Runge-Kutta Runge-Kutta method Schrödinger equation shown in Figure signal simulation solution spin square step stored patterns string structure sub calculate subroutine temperature theta trajectory trial function True Basic variables velocity Verlet method wave function wave packet x2ave zero