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1 subject found.

6.337[J] Introduction to Numerical Methods
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Graduate (Spring)
(Same subject as 18.335[J])
Prereq: 18.06, 18.700, or 18.701
Units: 3-0-9
http://math.mit.edu/classes/18.335
Lecture: MWF3 (2-190)
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Advanced introduction to numerical analysis: accuracy and efficiency of numerical algorithms. In-depth coverage of 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) may also be surveyed. Final project involves some programming.
S. Johnson
Textbooks (Spring 2019)