Iterative methods are mathematical procedures used to generate a sequence of approximate solutions for a class of problems. They are often the only choice for nonlinear equations and can be useful for linear problems with many variables. Convergence analysis is usually performed, but heuristic-based iterative methods are also common. Direct methods attempt to solve the problem with a finite sequence of operations.

UC Berkeley

Spring 2020

The course addresses programming parallel computers to solve complex scientific and engineering problems. It covers an array of parallelization strategies for numerical simulation, data analysis, and machine learning, and provides experience with popular parallel programming tools.

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