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First graduate course in numerical methods of applied mathematics, concentrating mostly on ODEs but -- depending on term and instructor -- including PDEs, iterative methods for solving sparse linear systems, integral equations. Independently of the specifics of the syllabus, it includes the most important part of scientific programming -- hours of debugging a "nearly working" code.
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