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Large-scale Minimax Optimization Problems
2023Minimax optimization has long been an important subject in optimization with widespread applications in robust optimization, game theory, and, more recently, in reinforcement learning and Generative Adversarial Networks (GANs). The recent applications of minimax optimization often involve objective functions that are neither convex in the minimization ...
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Large-Scale Structural Design Optimization
1997The design of mechanical structures may be posed as an optimization problem where some performance measure, such as structural weight, is optimized subject to constraints on stresses, deformations, buckling load, and other response characteristics. Design variables are usually chosen to be design parameters such as thicknesses and other cross-sectional
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