随笔分类 - 凸优化与非凸优化(Convex and nonconvex optimization)
介绍凸优化与非凸优化的基本概念,常用算法,主要的研究成果及其在机器视觉,压缩感知,深度学习和信息论中的应用。
摘要:Basic concepts, optimality conditions, different types of optimization, algorithm design techniques
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摘要:first order necessary optimality condition, second order necessary optimality condition, second order sufficient optimality conditions
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摘要:linear function, quadratic function, logarithm function, determinant function,
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摘要:constant function, linear function, quadratic function, logarithm function, dual function, determinant function, eigenvalue function, sine function, c
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摘要:indicator function, linear function, quadratic function, norm function, log function, exponential function, the composite of multiple functions, suppo
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摘要:ball, hyperplane, affine set, simplex, second order cone, cubic, intersection of multiple sets,,
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摘要:convergence types, convergence characterization, convergence analysis techniques, convergence speed
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摘要:convexity, Lipschitz continuity, positive semidefinite,,,,
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摘要:gradient descent, Newton's method, trust region, proximal algorithm, admm, interior point method
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摘要:alternating minimization, interior point, line search, trust region, optimality conditions inspired
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摘要:Convex set, conjugate functions, proximator, support function, cone, convex cone, convex hull, second order cone, balls, hyperplanes, affine set,
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