12.010 Computational Methods of Scientific Programming, Fall 2005

This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, Matlab, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages.

Bibliographic Details
Main Authors: Herring, T. (Thomas), Hill, Christopher N.
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Learning Object
Language:en-US
Published: 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/46336
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author Herring, T. (Thomas)
Hill, Christopher N.
author2 Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
author_facet Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Herring, T. (Thomas)
Hill, Christopher N.
author_sort Herring, T. (Thomas)
collection MIT
description This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, Matlab, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages.
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spelling mit-1721.1/463362025-02-26T17:35:04Z 12.010 Computational Methods of Scientific Programming, Fall 2005 Computational Methods of Scientific Programming Herring, T. (Thomas) Hill, Christopher N. Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences FORTRAN C C++ Matlab Mathematica program design algorithm development and verification comparative advantages and disadvantages of different languages examination of data with visualization techniques numerical analysis methods of dissemination and verification. programming languages, techniques used by physical scientists This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, Matlab, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages. 2005-12 Learning Object 12.010-Fall2005 local: 12.010 local: IMSCP-MD5-20347a8b7af34c09ac716ebd807ef2b2 http://hdl.handle.net/1721.1/46336 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. text/html Fall 2005
spellingShingle FORTRAN
C
C++
Matlab
Mathematica
program design
algorithm development and verification
comparative advantages and disadvantages of different languages
examination of data with visualization techniques
numerical analysis
methods of dissemination and verification.
programming languages, techniques used by physical scientists
Herring, T. (Thomas)
Hill, Christopher N.
12.010 Computational Methods of Scientific Programming, Fall 2005
title 12.010 Computational Methods of Scientific Programming, Fall 2005
title_full 12.010 Computational Methods of Scientific Programming, Fall 2005
title_fullStr 12.010 Computational Methods of Scientific Programming, Fall 2005
title_full_unstemmed 12.010 Computational Methods of Scientific Programming, Fall 2005
title_short 12.010 Computational Methods of Scientific Programming, Fall 2005
title_sort 12 010 computational methods of scientific programming fall 2005
topic FORTRAN
C
C++
Matlab
Mathematica
program design
algorithm development and verification
comparative advantages and disadvantages of different languages
examination of data with visualization techniques
numerical analysis
methods of dissemination and verification.
programming languages, techniques used by physical scientists
url http://hdl.handle.net/1721.1/46336
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