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Introduction To Numerical Methods

Description

This course presents a complicated introduction to numerical evaluation, with a give attention to accuracy and effectivity of numerical algorithms. Matters embody sparse-matrix/iterative and dense-matrix algorithms in numerical linear algebra (for linear programs and eigenproblems), floating-point arithmetic, backwards error evaluation, conditioning, and stability. Different computational subjects (e.g., numerical integration or nonlinear optimization) are additionally surveyed.


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