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Computational Methods: EML3041 SUMMER 2009 |
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Numerical methods are techniques to approximate mathematical procedures (example of a mathematical procedure is an integral). Approximations are needed because we either cannot solve the procedure analytically (example is the standard normal cumulative distribution function)
or because the analytical method is intractable (example is solving a set of a thousand simultaneous linear equations with a thousand unknowns). In this course, you will learn the numerical methods for the following mathematical procedures and topics - Differentiation, Nonlinear Equations, Simultaneous Linear Equations, Interpolation, Regression, Integration, and Ordinary Differential Equations. Calculation of errors and their relationship to the accuracy of the numerical solutions is emphasized throughout the course. Complementary resources for the course are available at http://numericalmethods.eng.usf.edu but have been made specific for the syllabus of the USF EML3041 course at a separate site. It is up to you to use them to enhance your course experience (in many cases will get reflected in your course grade). Read tweets and poems, and listen to a rap song (mp3, YouTube) about numerical methods. (1) http://en.wikipedia.org/wiki/Normal_distribution GNU General Public License |
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