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1 14 Chance constrained optimization Chance constraints and percentile optimization; chance constraints for log-concave distributions; convex approximation of chance constraints. [开放课件]

授课人:Prof. Stephen Boyd,Prof. Pablo Parrilo

课程:Introduction to Convex Optimization,

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2 12 l1 methods for convex-cardinality problems (cont.) Total variation reconstruction; iterated re-weighted l1; rank minimization and dual spectral norm heuristic. [开放课件]

授课人:Prof. Stephen Boyd,Prof. Pablo Parrilo

课程:Introduction to Convex Optimization,

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3 2 Convex sets Convex sets and cones; some common and important examples; operations that preserve convexity. [开放课件]

授课人:Prof. Stephen Boyd,Prof. Pablo Parrilo

课程:Introduction to Convex Optimization,

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4 7 Statistical estimation Maximum likelihood and MAP estimation; detector design; experiment design. [开放课件]

授课人:Prof. Stephen Boyd,Prof. Pablo Parrilo

课程:Introduction to Convex Optimization,

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5 9 Filter design and equalization FIR filters; general and symmetric lowpass filter design; Chebyshev equalization; magnitude design via spectral factorization. [开放课件]

授课人:Prof. Stephen Boyd,Prof. Pablo Parrilo

课程:Introduction to Convex Optimization,

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使用许可:CC BY-NC-SA

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6 17 Equality constrained minimization Elimination method; Newton method; infeasible Newton method. [开放课件]

授课人:Prof. Stephen Boyd,Prof. Pablo Parrilo

课程:Introduction to Convex Optimization,

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使用许可:CC BY-NC-SA

预览  |  原文链接  |  全文  [ 浏览：2 下载：3  ]