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Lecture Notes in Computational Physics by Leif Lonnblad
This note explains the following topics: Errors, Interpolation and Extrapolation, Random Numbers and Monte Carlo, Optimization, Local Optimization with Derivatives, Ordinary Differential Equations, Partial Differential Equations, Waves.
Author(s): Leif Lonnblad
85 Pages
Computational Physics using MATLAB
This PDF covers the following topics related to Computational Physics using MATLAB : Uranium Decay, The Pendulum, The Solar System, Potentials and Fields, Waves, Random Systems, Quantum Mechanics.
Author(s): Kevin Berwick
103 Pages
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.
Author(s): Konstantinos N. Anagnostopoulos
676 Pages
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.
Author(s): University of Heidelberg
150 Pages
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.
Author(s): Peter Young
NA Pages
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.
Author(s): Morten Hjorth-Jensen
552 Pages
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.
Author(s): Dr. Eric Ayars
194 Pages
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.
Author(s): Richard Fitzpatrick
NA Pages
