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Computational Physics Books

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Computational Physics Books

This section contains free e-books and guides on Computational Physics, some of the resources in this section can be viewed online and some of them can be downloaded.

Computational Physics by Konstantinos N. Anagnostopoulos

This book covers the following topics: Kinematics, Logistic Map, Logistic Map, Motion of a Particle, Planar Motion, Motion in Space, Electrostatic, Diffusion on the Circle, The Anharmonic Oscillator, Time Independent Schrödinger Equation, The Random Walker, Monte Carlo Simulations, Critical Exponents.

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s 676Pages

Introduction to Computational Physics by University of Heidelberg

This note covers the following topics: Computers and Numbers, Practical Hints, Modeling Physics Problems, Linear Algebra, Solving Ordinary Differential Equation, Discrete Dynamical Systems and Chaos, Random Numbers, Monte Carlo Simulation.

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s 150Pages

Computational Physics by Peter Young

This note is intended to be of interest to students in other science and engineering departments as well as physics.This note assumes that you can write a simple program in one of the following languages: C or C++, Java, or Fortran 90.

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s NAPages

Computational Physics Lecture Notes by Morten Hjorth Jensen

This set of lecture notes serves the scope of presenting to you and train you in an algorithmic approach to problems in the sciences, represented here by the unity of three disciplines, physics, mathematics and informatics. This trinity outlines the emerging field of computational physics. Topics covered includes: Introduction to programming and numerical methods, Linear Algebra and Eigenvalues , Differential Equations, Monte Carlo Methods.

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s 552Pages

Computational Physics With Python

This book covers the following topics: Useful Introductory Python, Python Basics, Basic Numerical Tools, Numpy, Scipy, and MatPlotLib, Ordinary Differential Equations, Chaos, Monte Carlo Techniques, Stochastic Methods and Partial Differential Equations.

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s 194Pages

Computational Physics Lecture Note

This set of lecture notes serves the scope of presenting to you and train you in an algorithmic approach to problems in the sciences, represented here by the unity of three disciplines,physics, mathematics and informatics. This trinity outlines the emerging field of computational physic.

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s 563Pages

Computational Physics An introductory course

The purpose of this note is demonstrate to students how computers can enable us to both broaden and deepen our understanding of physics by vastly increasing the range of mathematical calculations which we can conveniently perform. Topics covered includes: Scientific programming in C, Integration of ODEs, The chaotic pendulum, Poisson's equation, The diffusion equation, The wave equation, Particle-in-cell codes and Monte-Carlo methods.

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Lecture Notes on Computational Physics

This note covers the following topics: Basic computer hardware and software, Machine precision and errors, C++, Dislin - a high-level plotting library for displaying data, Linux, Numerical Libraries, Roots of nonlinear equations, Interpolation, Differentiation, Integration, Matrices, ODE - Ordinary Differential Equations, ODE boundary value problem, Nonlinear Differential Equations, PDE - partial differential equations, Random Numbers and Monte Carlo Applications, Data Modeling, Projectile motion with air resistance and Planetary motion.

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Lecture notes in computational physics, molecular dynamics[PS]

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Computational Physics [PDF 36p]

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Corso di Introduzione al Calcolo Numerico

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Introduction to Computational Physics Course Notes

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An Introduction to Computational Physics

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Computational Physics Class Notes

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Physics Computational Physics Lecture Notes

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What Every Computer Scientist Should Know About Floating Point Arithmetic

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Introduction to Computational Physics

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Computational Physics I Fall 2008

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COMPUTATIONAL PHYSICS II

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Introduction to Computational Physics

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Introduction to Computational Physics [Mirror]

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Lecture notes on Statistical Mechanics

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Computational Physics Lecture Notes and Problems

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Lecture notes for Mathematical Methods

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