12.010 Computational Methods of Scientific Programming, Fall 2008
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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| Language: | en-US |
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2008
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| Online Access: | http://hdl.handle.net/1721.1/75803 |
| _version_ | 1811080521054158848 |
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| author | Herring, Thomas Hill, Chris |
| author_facet | Herring, Thomas Hill, Chris |
| author_sort | Herring, 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. |
| first_indexed | 2024-09-23T11:33:01Z |
| id | mit-1721.1/75803 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2024-09-23T11:33:01Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | mit-1721.1/758032019-09-12T19:21:22Z 12.010 Computational Methods of Scientific Programming, Fall 2008 Computational Methods of Scientific Programming Herring, Thomas Hill, Chris 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 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. 2008-12 12.010-Fall2008 local: 12.010 local: IMSCP-MD5-332013a67de48694948b77ef387c8e0b http://hdl.handle.net/1721.1/75803 en-US 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. text/html Fall 2008 |
| spellingShingle | 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 Herring, Thomas Hill, Chris 12.010 Computational Methods of Scientific Programming, Fall 2008 |
| title | 12.010 Computational Methods of Scientific Programming, Fall 2008 |
| title_full | 12.010 Computational Methods of Scientific Programming, Fall 2008 |
| title_fullStr | 12.010 Computational Methods of Scientific Programming, Fall 2008 |
| title_full_unstemmed | 12.010 Computational Methods of Scientific Programming, Fall 2008 |
| title_short | 12.010 Computational Methods of Scientific Programming, Fall 2008 |
| title_sort | 12 010 computational methods of scientific programming fall 2008 |
| topic | 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 |
| url | http://hdl.handle.net/1721.1/75803 |
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