**Introduction to Computational Physics and Monte Carlo Simulations of Matrix Field Theory**

by Badis Ydri

**Publisher**: arXiv 2015**Number of pages**: 350

**Description**:

This book is divided into two parts. In the first part we give an elementary introduction to computational physics consisting of 21 simulations which originated from a formal course of lectures and laboratory simulations. The second part is much more advanced and deals with the problem of how to set up working Monte Carlo simulations of matrix field theories which involve finite dimensional matrix regularizations of noncommutative and fuzzy field theories, fuzzy spaces and matrix geometry.

Download or read it online for free here:

**Download link**

(7.9MB, PDF)

## Similar books

**Modern Computational Methods in Solids**

by

**Adrian Feiguin**-

**University of Wyoming**

The purpose of this course is to introduce students to a series of paradigmatic physical problems in condensed matter, using the computer to solve them. The course will feel like a natural extension of introductory condensed matter.

(

**6323**views)

**Computational Thermodynamics**

by

**Johan Hoffman, Claes Johnson**

Computational foundation of thermodynamics based on deterministic finite precision computation without resort to statistics. A new 2nd Law without the concept of entropy is proved to be a consequence of the 1st Law and finite precision computation.

(

**9311**views)

**Computational Physics with Python**

by

**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.

(

**6146**views)

**Introduction to Monte Carlo Methods**

by

**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.

(

**6767**views)