Corso di Introduzione al Calcolo Numerico

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 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.

Author(s): Morten Hjorth Jensen

563 Pages