Logo

Introduction to Monte Carlo Methods

Small book cover: Introduction to Monte Carlo Methods

Introduction to Monte Carlo Methods
by

Publisher: arXiv
Number of pages: 47

Description:
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 together with variance-reducing techniques is introduced. A short description on the generation of pseudo-random numbers and quasi-random numbers is given.

Home page url

Download or read it online for free here:
Download link
(460KB, PDF)

Similar books

Book cover: Introduction to Computational PhysicsIntroduction to Computational Physics
by
The purpose of the text is to demonstrate how computers can help deepen our understanding of physics and increase the range of calculations which we can perform. These lecture notes are writen for an undergraduate course on computational physics.
(18272 views)
Book cover: High Performance Computing and Numerical ModellingHigh Performance Computing and Numerical Modelling
by - arXiv
These are lecture notes about high performance computing and numerical modelling in 43rd Saas Fee Advanced Course winter school, specifically covering the basics of numerically treating gravity and hydrodynamics in the context of galaxy evolution.
(11137 views)
Book cover: Computational PhysicsComputational Physics
by - 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.
(10569 views)
Book cover: Computational Physics With PythonComputational Physics With Python
by - 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.
(11081 views)