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12.010 Computational Methods of Scientific Programming, Fall 2008

Author(s)
Herring, Thomas; Hill, Chris
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Download12-010-fall-2008/contents/index.htm (27.5Kb)
Alternative title
Computational Methods of Scientific Programming
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2012. 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") unless otherwise noted. 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.
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Abstract
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.
Date issued
2008-12
URI
http://hdl.handle.net/1721.1/75803
Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences; Massachusetts Institute of Technology. History Section; Massachusetts Institute of Technology. Music and Theater Arts Section; Massachusetts Institute of Technology. Department of Political Science; Massachusetts Institute of Technology. Program in Science, Technology and Society; MIT Program in Women's and Gender Studies; MIT Program in Writing & Humanistic Studies
Other identifiers
12.010-Fall2008
local: 12.010
local: IMSCP-MD5-332013a67de48694948b77ef387c8e0b
Keywords
programming languages, techniques used by physical scientists, 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

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