Computational Physics
by Morten Hjorth-Jensen
Publisher: University of Oslo 2007
Number of pages: 444
Description:
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. Time is ripe for revising the old tale that if mathematics is the queen of sciences then physics is king. Informatics ought definitely to belong among the princely.
Download or read it online for free here:
Download link
(3.7MB, PDF)
Similar books
Computational Physicsby Matthias Troyer - ETH Zurich
Contents: Introduction; The Classical Few-Body Problem; Partial Differential Equations;The classical N-body problem; Integration methods; Percolation; Magnetic systems; The quantum one-body problem; The quantum N body problem; and more.
(12603 views)
Computational Physics With Pythonby Eric Ayars - California State University, Chico
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; etc.
(13772 views)
Computational Physics with Pythonby Mark Newman - University of Michigan
The Python programming language is an excellent choice for learning, teaching, or doing computational physics. This page contains a selection of resources the author developed for teachers and students interested in computational physics and Python.
(23773 views)
Introduction To Monte Carlo Algorithmsby Werner Krauth - CNRS-Laboratoire de Physique Statistique
The author discusses the fundamental principles of thermodynamic and dynamic Monte Carlo methods in a simple light-weight fashion. The keywords are Markov chains, Sampling, Detailed Balance, A Priori Probabilities, Rejections, Ergodicity, etc.
(14199 views)