Global optimization is the branch of applied mathematics and numerical analysis that attempts to find the global minima or maxima of a function or set of functions over a given set. It is usually described as a minimization problem, and involves finding the minimum of a possibly nonlinear and non-convex continuous function over a compact set defined by inequalities. It is distinguished from local optimization by its focus on finding the global minimum or maximum.
Stanford University
Spring 2022
Combination of theoretical and practical perspectives on compiler design. This course emphasizes correctness over performance, providing a deep understanding of compiler structure and functioning.
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