Introduction to Numerical Methods
Introduction to Numerical Methods
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.
Duration: Not defined
Level: Graduate
Certification: No
Cost: Free
Language: English
Type: Self-Paced
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