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         Computational Physics:     more books (100)
  1. Computational Physics by Jos Thijssen, 2007-04-09
  2. Computational Physics (2nd Edition) by Nicholas J. Giordano, Hisao Nakanishi, 2005-07-31
  3. Computational Physics: Problem Solving with Computers by Rubin H. Landau, Manuel J. Páez, et all 2007-09-21
  4. Computational Methods in Physics, Chemistry and Biology: An Introduction by Paul Harrison, 2001-12-05
  5. An Introduction to Computational Physics by Tao Pang, 2006-02-13
  6. A First Course in Computational Physics and Object-Oriented Programming with C++ by David Yevick, 2005-04-25
  7. Computational Physics: An Introduction by Franz J. Vesely, 2001-06-01
  8. Computational Methods in Physics and Engineering by Samuel S. M. Wong, 1997-06
  9. Introductory Computational Physics by Andi Klein, Alexander Godunov, 2006-03-20
  10. A First Course in Computational Physics by Paul L. Devries, 1993-08
  11. Computational Physics of Carbon Nanotubes by Hashem Rafii-Tabar, 2007-12-24
  12. Computational Complexity and Statistical Physics (Santa Fe Institute Studies in the Sciences of Complexity Proceedings)
  13. Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Statistical, Computational, and Theoretical Physics) by Werner Krauth, 2006-11-16
  14. Quantum Wells, Wires and Dots: Theoretical and Computational Physics of Semiconductor Nanostructures by Paul Harrison, 2005-09-12

1. Computational Physics, Inc. - Home
computational physics, Inc. (CPI) was founded to perform advanced scientific Welcome to the computational physics, Inc. Web Site.
http://www.cpi.com/
Welcome to the Computational Physics, Inc. Web Site. Welcome to the Computational Physics, Inc. Web Site.

2. Computational Physics
computational physics, 1st Ed. Landau Paez ( Kowallik, Jansen, contributors) Preface from book. Sample chapter. Reviews by Gould and Tobochnik, Press. Alas, errata (1st 2nd printing), (3rd) CP Applet Collection Nonlinear PDEs. computational physics, 2nd Ed. with Java
http://www.physics.orst.edu/~rubin/CPbook
Computational Physics, 1 st Ed
(Kowallik, Jansen, contributors)
Programs: C Fortran Preface from book Sample chapter Reviews by Gould and Tobochnik Press Alas, errata CP Applet Collection Comments: rubin@physics.orst.edu Contents with Tutorial Links Part I Generalities Part II Applications Part III Applications (High Performance) Part IV Partial Differential Equations (PDEs) Part V Nonlinear PDEs Computational Physics, nd Ed with Java for Students, for Teachers: RHL

3. Fortran 90 And HPF Programs
Fortran 90 and HPF Programs Related to the Book An Introduction to computational physics , by Tao Pang, Cambridge University Press (1997).
http://www.physics.unlv.edu/~pang/cp_f90.html
Fortran 90 and HPF Programs Related to the Book
Book Title: An Introduction to Computational Physics
Author: Tao Pang
Publisher: Cambridge University Press
Publication Place: New York
Publication Date: September, 1997
ISBN's: 0-521-48143-0 (hardback); 0-521-48592-4 (paperback)
List Prices: $110 (hardback); $42.95 (paperback)
Other Info: 393 Pages; 7 x 10; 30 Line Diagrams; 5 Tables; 94 Exercises; Bibliography and Index Please Note:
  • No warranties, express or implied, are made for any materials at this site. Chapter 1. Introduction
    • Program 1.1 : One-dimensional motion under a harmonic force.
    Chapter 2. Basic Numerical Methods
  • 4. An Introduction To Computational Physics
    An Introduction to computational physics " written by Tao Pang and published by Cambridge University Press
    http://www.physics.unlv.edu/~pang/cp.html
    If you don't have the book, click highlight of the book or ordering information here. Please Note:
  • The materials at this site are created solely for the owners of the book, "An Introduction to Computational Physics," written by Tao Pang and published by Cambridge University Press . They are provided to help the readers to expand the capacity of the book, but not as freestanding materials.
  • No warranties, express or implied, are made for any materials at this site. Items incomplete/unavailable at the moment will be completed/constructed in the future. Materials Available: Please send your comments or reports on additional errors to: pang@physic.unlv.edu
  • 5. Computational Physics Resource On The Internet
    computational physics Resource on the Internet. Here I have collected some links for computational physics on the internet, which will be frequently updated.
    http://www.physics.unc.edu/~zhaoj/compphys.htm
    Computational Physics Resource on the Internet
    Here I have collected some links for computational physics on the internet, which will be frequently updated. Most of the codes and sofewares on this page are free and accessable.
    First principle method references
    First principle calculation of solid and molecules
    Ab initio molecular dynamics (Car-Parrinello Method)
    Tight-binding molecular dynamics (TBMD) and empirical MD simulations
    Quantum chemistry methods on electronic structure calculations

    6. Division Of Computational Physics

    http://www.aps.org/DCOMP

    7. Computational Physics
    computational physics. N. Giordano. Purdue University. ng@physics.purdue.edu. Programs and other information for my book. computational physics can be accessed from this page
    http://www.physics.purdue.edu/~ng/comp_phys.html
    Computational Physics
    N. Giordano
    Purdue University
    ng@physics.purdue.edu
    Programs and other information for my book Computational Physics can be accessed from this page.
    Selected excerpts
    Special material (not included in the book) concerning the physics of vibrating strings. This material was included in an article in Computers in Physics , and includes some example programs which treat the motion of guitar and piano strings.
    Table of Contents
    Preface
    The following links will take you to the source code for programs described in the corresponding chapter or appendix.
    Some Comments and Useful Information
    Chapter 1 A First Numerical Problem
    Chapter 2 Realistic Projectile Motion
    Chapter 3 Oscillatory Motion and Chaos ...
    Mistakes and typos: nobody is perfect - click here to see a list of errors and corrections. Not many have been found so far.
    If you find an error, please inform me by email or other means, via the address given above.
    The Prentice Hall web page for my book

    8. Center For Computational Sciences, University Of Tsukuba
    News. Center for computational physics has been reorganized and expanded to Center for Computational Sciences as of 1 April 2004.
    http://www.rccp.tsukuba.ac.jp/
    Home Old CCP home page
    News
    Center for Computational Physics has been reorganized and expanded to Center for Computational Sciences as of 1 April 2004.

    9. Computational Physics / Carleton University
    Welcome to computational physics at Carleton University. This site was developed for students registered in courses 75.487 and 75.502, in 1995 1999. Choose a general topic from the figure above or
    http://www.physics.carleton.ca/courses/75.502/slides/intro
    Welcome to Computational Physics at Carleton University
    This site was developed for students registered in courses 75.487 and 75.502, in 1995 - 1999.
    Choose a general topic from the figure above or search the index If your browser does not support tables, the figure above may not appear. In this case, you can access the course sections from this link Send comments and questions to Dean Karlen (karlen@physics.carleton.ca).

    10. Computational Physics Group: J.M. Thijssen
    Program directory for computational physics Download the program directory in .tar.gz (.tgz) or tar format by clicking Shift+left mouse button or read the
    http://www.cp.tn.tudelft.nl/people/thijssen/book/progdir.html
    Program directory for Computational Physics
    Download
    the program directory in .tar.gz ( .tgz
    or tar format by
    clicking Shift+left mouse button or
    read the intro
    (including errata) first.

    11. School Of Physics - Computational Physics 2
    Simulation and modelling are usually taught by stressing numerical techniques this course focuses on using symbolic or computer algebra in particular, using Mathematica.
    http://physics.uwa.edu.au/Physics/Courses/Third_Year/Computational_Physics.html
    School of Physics Faculty Home School Home Search UWA Website This Site People UWA Expert Structure Intranet for Welcome
    Information For

    Prospective Students
    Current Students ... Contact Us
    Computational Physics 2
    The purpose of computing is insight, not numbers.
    — Richard Hamming The broad categories of computational physics are simulation, visualisation and modelling. At a finer scale, computational physics embraces a wide range of areas including numerical methods, algorithms and data analysis. Simulation and modelling are usually taught by stressing numerical techniques — this course focuses on using symbolic or computer algebra — in particular, using Mathematica The objectives of this course are:
  • to use computers as an aid to understanding real physical systems; to learn efficient methods for the analysis of these systems.
  • Computational Experiments 1
    This course is a "hands-on" laboratory style course consisting of 5 assignments worth a total of 60%. The final (take-home) exam makes up the remaining 40%. The zeroth Notebook gives an overview of the course:

    12. ScienceDirect - Journal Of Computational Physics - List Of Issues
    www.sciencedirect.com/webeditions/journal/00219991 www.sst.ph.ic.ac.uk/angus/Lectures/compphys/compphys.html More results from www.sst.ph.ic.ac.uk computational physics / Carleton UniversityWelcome to computational physics at Carleton University. This site was developed for students registered in courses 75.487 and 75.502, in 1995 - 1999.
    http://www.sciencedirect.com/science/journal/00219991
    This Feature requires JavaScript
    Register
    or Login: Password: Athens Login
    Journal of Computational Physics Bookmark this page as: http://www.sciencedirect.com/science/journal/00219991
    Articles in Press
    Volume 197 Volume 197, Issue 1 , Pages 1-386 (10 June 2004) Volume 196 Volume 195 Volume 194 Volume 193 ... Volume 104 Alert me when new Journal Issues are available Add this journal to My Favorite Journals Sample Issue Online More Publication Info Information for Authors
    Feedback
    ... Elsevier B.V.

    13. Computational Physics Course
    computational physics Course Professor Angus MacKinnon of the Imperial College of Technology and Medicine has created this comprehensive course covering the main computational techniques used in
    http://rdre1.inktomi.com/click?u=http://www.sst.ph.ic.ac.uk/angus/Lectures/compp

    14. Computation Physics / Carleton University / Course Outline
    Course Outline. Course Title Physics 75.502T1 / 75.487* computational physics Professor Dean Karlen, Office HP 3324, Phone extension
    http://www.physics.carleton.ca/courses/75.502/slides/intro/course/outline/
    Course Outline
    Course Title:
    Physics 75.502T1 / 75.487* : Computational Physics
    Professor:
    Dean Karlen, Office: HP 3324, Phone extension: 4324
    email: karlen@physics.carleton.ca
    Course Overview:
    I Introduction
    An introduction to the UNIX system in the computing facilities in the Carleton University Physics Department is given. (This information is only accessable from our site.) Here are some programming hints
    II Numerical Methods
    The following subjects are covered: Linear Algebra Interpolation and Exptrapolation Integration Root Finding ... Ordinary Differential Equations , and Partial Differential Equations
    III Monte Carlo Techniques
    We study methods to simulate processes that occur in nature and methods to simulate experiments that measure these processes. The following subjects are covered: Introduction, Random Number Generators Special Distributions General Techniques , and Multidimensional Simulation
    IV Statistics for Physicists
    With simulated data, from part III, we learn how to extract information from experiments, using a variety of statistical methods. The following subjects are covered: Experimental Measurements and Uncertainties Confidence Intervals Parameter Estimation: Likelihood Methods Least Squares Method ... Hypothesis Tests , and Goodness of Fit Tests The particle data group (PDG) has an excellent summary of statistics
    V Special Topics
    Chaotic dynamics and other topics will be presented as time permits.

    15. School Of Physics - Computational Physics 2
    computational physics 2. Richard Hamming. The broad categories of computational physics are simulation, visualisation and modelling.
    http://www.physics.uwa.edu.au/for/current/undergraduates/third_year/computationa
    School of Physics Faculty Home School Home Search UWA Website This Site People UWA Expert Structure Intranet for Welcome
    Information For

    Prospective Students
    Current Students ... Contact Us
    Computational Physics 2
    The purpose of computing is insight, not numbers.
    — Richard Hamming The broad categories of computational physics are simulation, visualisation and modelling. At a finer scale, computational physics embraces a wide range of areas including numerical methods, algorithms and data analysis. Simulation and modelling are usually taught by stressing numerical techniques — this course focuses on using symbolic or computer algebra — in particular, using Mathematica The objectives of this course are:
  • to use computers as an aid to understanding real physical systems; to learn efficient methods for the analysis of these systems.
  • Computational Experiments 1
    This course is a "hands-on" laboratory style course consisting of 5 assignments worth a total of 60%. The final (take-home) exam makes up the remaining 40%. The zeroth Notebook gives an overview of the course:

    16. Home
    Computationalphysics group anthem (Warning Listener Discretion Advised). Copyright © 1998-2003 computational physics Last modified May 14, 2004.
    http://rugth30.phys.rug.nl/compphys0/
    Computational Physics
    Mission Statement
    To conduct research in physics through the innovative use of computer and information technology.
    Contact Information
    Prof.Dr. H.A De Raedt
    Department of Applied Physics
    Materials Science Centre
    University of Groningen
    Nijenborgh 4
    NL-9747 AG Groningen
    The Netherlands
    Phone: +31 50 363 4852
    FAX: +31 50 363 4947
    E-mail: deraedt@phys.rug.nl
    Links
    For more information on Quantum Computation see: Computer Science Web Site Links
    Computational-physics group anthem (Warning: Listener Discretion Advised)
    Number of visits to this page:
    Send mail to deraedt@phys.rug.nl with questions or comments about this web site. Last modified: May 14, 2004

    17. Dr. Thomas Neuhaus Computational Physics
    Contains publications in computational physics, statistical physics and lattice gauge theory. Information about the precise study of condensed matter systems and particle interactions.
    http://www.dr-thomas-neuhaus.de
    Diese Seite verwendet Frames, die jedoch von Ihrem Browser nicht unterstützt werden..

    18. PHYSICS 465/565-466/566, COMPUTATIONAL PHYSICS
    computational physics II. PH 466/566 Oregon State University. ( this page http//www.physics.orst.edu/~rubin/ COURSES/Ph465/) computational physics Lab After you sign a fairuse agreement, you will have access to the Physics workstation cluster
    http://www.physics.orst.edu/~rubin/COURSES/CPcourse
    Computational Physics II
    PH 466/566 Oregon State University
    (this page: http://www.physics.orst.edu/~rubin/COURSES/Ph465/)
    Winter 2004
    To teach through direct experience the use of scientific workstations and supercomputers in thinking creatively and solving problems in the physical sciences. Professor: Rubin H Landau 499 Weniger Hall rubin@physics.orst.edu www.physics.orst.edu/~rubin T Assist: - Midterm/Final Exam Check out CPUG HW: only g roup 9 Feb: first-half projects due 12 Mar: 2nd-half projects due
    Lectures: Tues (Th) 1030-1150 (large) Weniger 377 Lab: Thurs 1030-1150 Weniger 412
    Text: Computational Physics, Problem Solving with Computers , Wiley (1997); with Java extensions. Aims and Verbal Description Prerequisites Introductory programming experience, Jr-level Physics
    Grade: Sample Exam. large group, small group. You are encouraged to discuss assignments with the instructors and other students. Even if you work in a group, you need to understand all the work that you hand in. When you place your name on your assignment, the agreement is that this is your work and that you can explain it when asked. Warning : Handing in another student's assignment (either in original or modified form) without acknowledgement is academic dishonesty and can result in an F course grade. Note: projects are expected one week after assignment. No projects from first half of term will be accepted after 9 February, and no projects (other than for last week) from second half of term will be accepted after 12 March.

    19. Computational Physics
    computational physics. NSF, NASA, DOE, NIH, NSA, NIST, EPA. The field of computational physics has exploited HPCC technologies leading to new science, including new computational
    http://www.hpcc.gov/pubs/blue97/acc-compphys.html
    Computational Physics
    NSF, NASA, DOE, NIH, NSA, NIST, EPA The field of computational physics has exploited HPCC technologies leading to new science, including new computational models in astronomy and astrophysics, charged plasma, and elementary particle physics.
    Astronomy and Astrophysics
    Before-and-after frames from a 100-million-object simulation of a disk galaxy interacting with a smaller galaxy. The smaller galaxy passes through the disk of the larger galaxy, causing ring structures to form. The simulation is consistent with the Cold Dark Matter model of the universe and compatible with astronomical observations. Advances in computational sciences are being used to better understand and simulate large scale galaxy formation and accretion astrophysics. Using information on the universe's power spectrum from the Cosmic Background Explorer and three cosmological models, scientists have simulated galaxy interactions using up to 46 million objects to illustrate their understanding that the Galactic Harassment model for the universe drives galactic morphological evolution. These simulations have been verified with observations from the Hubble Space Telescope. The simulation complements Hubble Space Telescope (HST) imaging of the formation of the central regions of galaxies (a thousand light years) at redshifts of z ~ 2. Following their evolution in clusters to the present epoch, this model ties together a vast range of data to create a unified model of structure formation and galaxy evolution.

    20. Undergraduate Degree In Computational Physics
    computational physics for UnderGraduates. A ResearchRich Bachelors Degree Program at Oregon State University. What is computational physics?
    http://www.physics.orst.edu/CPUG/
    C omputational P hysics for U nder G raduates
    A Research-Rich Bachelors Degree Program at Oregon State University
    AeA Technology Scholarships for Incoming Freshman
    • What is Computational Physics? Career Opportunities for Computational Physicists Why the OSU Program is Attractive ... A Research-Rich Education CP Major Required Classes First Computational Physics Graduate
      Jon LaFollette, June 2003
      Supported in part by National Science Foundation Grant 9980940 and the National Partnership for Advanced Computational Infrastructure-EOT
      What is Computational Physics?
      Computational Physics combines physics, computer science and applied mathematics in order to provide scientific solutions to realistic and often complex problems. Areas of application include environmental modeling, nuclear cleanup, the design of materials, ground water transport, the nature of elementary particles, medical imaging, and energy management. A computational physicist understands not only the workings of computers and the relevant science and mathematics, but also how computer algorithms and simulations connect the two.
      Career Opportunties for Computational Physicists
      The recent and rapid developments in science and engineering have been driven by a dramatic increase in the power and use of computers. Yet too many science and engineering graduates do not have strong enough backgrounds in computation to take advantage of these recent developments, while many computer science graduates do not have the background in mathematics and science needed for technical fields. Our graduates will present to the job market and graduate schools, people who possess a competent education in physics, mathematics and computing, as well as valuable skills in complex problem-solving and team work. They will be able to enjoy careers involving high-performance computing and science, without having to choose between them.

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