Computational Physics With Python
by Eric Ayars
Publisher: California State University, Chico 2013
Number of pages: 194
Description:
Contents: Useful Introductory Python; Python Basics; Basic Numerical Tools; Numpy, Scipy, and MatPlotLib; Ordinary Differential Equations; Chaos; Monte Carlo Techniques; Stochastic Methods; Partial Differential Equations; Linux; Visual Python; Least-Squares Fitting.
Download or read it online for free here:
Download link
(7.5MB, PDF)
Similar books
Computational Nanoscience: Do It Yourself!by Johannes Grotendorst, Stefan Bluegel, Dominik Marx - NIC
This volume focuses on the application of electronic structure calculations and dynamical simulation techniques covering aspects of solid state physics, surface and nanoscience, chemical reactions and dynamics, magnetism and electron transport, etc.
(22348 views)
Introduction to Monte Carlo Methodsby Stefan Weinzierl - arXiv
These lectures given to graduate students in high energy physics, provide an introduction to Monte Carlo methods. After an overview of classical numerical quadrature rules, Monte Carlo integration and variance-reducing techniques is introduced.
(13499 views)
Computational Turbulent Incompressible Flowby Johan Hoffman, Claes Johnson - Springer
In this book we address mathematical modeling of turbulent fluid flow, and its many mysteries that have haunted scientist over the centuries. We approach these mysteries using a synthesis of computational and analytical mathematics.
(16207 views)
Physical Mathematicsby Michael P. Brenner - Harvard University
This is an introduction to mathematical methods for solving hard mathematics problems that arise in the sciences -- physical, biological and social. Our aim therefore is to teach how computer simulations and analytical calculations can be combined.
(13278 views)