Computational physics

Computational physics

by Newman, M. E. J., (Mark E. J.)

Type Book
Rate 0.0 /5

This book explains the fundamentals of computational physics and describes the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform. The book offers a complete introduction to the topic at the undergraduate level, and is also suitable for the advanced student or researcher. The book begins with an introduction to Python, then moves on to a step-by-step description of the techniques of computational physics, with exa…

Read More ↓
Details
Files
Reviews
Download

Title Statements

  • Full title :Computational physics / Mark Newman.

Summary

This book explains the fundamentals of computational physics and describes the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform. The book offers a complete introduction to the topic at the undergraduate level, and is also suitable for the advanced student or researcher. The book begins with an introduction to Python, then moves on to a step-by-step description of the techniques of computational physics, with examples ranging from simple mechanics problems to complex calculations in quantum mechanics, electromagnetism, statistical mechanics, and more--Page 4 de la couverture.

Read More ↓

Edition Statements

  • Publication Date:2013
  • Edition:Revised and expanded edition

Publication Statements

  • Publisher(s):Mark Newman
  • Place of Publication:Ann Arbor, Mich
  • Language:eng
  • Publication Date:2013

Notes

Première édition publiée en 2012.

The Physical Object

  • Description:xi, 549 pages : : illustrations ; : 25 cm

Edition Identifiers

  • ISBN:1480145513, 9781480145511
  • oclc:on1154080510
  • LC Classification:QC52
  • Dewey Decimal:530.0285

Table of Contents

Introduction -- Python programming for physicists -- Graphics and visualization -- Accuracy and speed -- Integrals and derivatives -- Solution of linear and nonlinear equations -- Fourier transforms -- Ordinary differential equations -- Partial differential equations -- Random processes and Monte Carlo methods -- Using what you have learned -- Appendices -- Index

Read More ↓

Subjects

Physics -- Data processing Physique -- Informatique Python (Computer program language) Python (Langage de programmation)

Writers

Newman, M. E. J., (Mark E. J.)

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

No downloadable files are registered for this work yet.

Log in to request a copy