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Computational physics : with worked out examples in Fortran and Matlab

By: Bestehorn, Michael.
Publisher: Berlin De Gruyter 2018Description: x, 320p.ISBN: 9783110515138.Subject(s): Mathematical physics | Physics data processingDDC classification: 530 | B464c
Contents:
Drawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran® and Matlab®. It elucidates a broad palette of topics, including fundamental phenomena in classical and quantum mechanics, hydrodynamics and dynamical systems, as well as effects in field theories and macroscopic pattern formation described by (nonlinear) partial differential equations. A chapter on Monte Carlo methods is devoted to problems typically occurring in statistical physics. Contents Introduction Nonlinear maps Dynamical systems Ordinary differential equations I Ordinary differential equations II Partial differential equations I, basics Partial differential equations II, applications Monte Carlo methods (MC) Matrices and systems of linear equations Program library Solutions of the problems README and a short guide to FE-tools
List(s) this item appears in: New Arrival 10-16 Sep 2018
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books P K Kelkar Library, IIT Kanpur
General Stacks 530 B464c (Browse shelf) Checked out to Sushanta Barman (S1810986900) 15/03/2021 A183828
Total holds: 0

Drawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran® and Matlab®. It elucidates a broad palette of topics, including fundamental phenomena in classical and quantum mechanics, hydrodynamics and dynamical systems, as well as effects in field theories and macroscopic pattern formation described by (nonlinear) partial differential equations. A chapter on Monte Carlo methods is devoted to problems typically occurring in statistical physics.

Contents
Introduction
Nonlinear maps
Dynamical systems
Ordinary differential equations I
Ordinary differential equations II
Partial differential equations I, basics
Partial differential equations II, applications
Monte Carlo methods (MC)
Matrices and systems of linear equations
Program library
Solutions of the problems
README and a short guide to FE-tools

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