Introduction to Numerical Methods
18.335J · Electrical Engineering and Computer Science, Mathematics · Graduate · Spring 2019
Prof. Steven G. Johnson
This course offers an advanced introduction to numerical analysis, with a focus on accuracy and efficiency of numerical algorithms. Topics include sparse-matrix/iterative and dense-matrix algorithms in numerical linear algebra (for linear systems and eigenproblems), floating-point arithmetic, backwards error analysis, conditioning, and stability. Other computational topics (e.g., numerical integration or nonlinear optimization) are also surveyed.
The syllabus, on MIT OpenCourseWare
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Syllabus ↗
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Attribution
Prof. Steven G. Johnson. 18.335J Introduction to Numerical Methods . Spring 2019. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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