2009 年 SCI 收录我校师生论文一览 （共 122 篇） 1. 标题: Duality gap of the conic convex constrained optimization problems in normed

Source URL: lib.hrbust.edu.cn

The last few years has seen a flurry of activity in non-convex approaches to enable solution of large scale optimization problems that come up in machine learning. The common thread in many of these results is that low-r

Source URL: mmds-data.org

Many data analysis applications require the solution of optimization problems involving a sum of large number of functions. We consider the problem of minimizing a sum of n functions over a convex constraint set. Algorit

Source URL: mmds-data.org

Convex V-models for nonconvex minimization Claudia Sagastizábal mailto:, http://www.impa.br/~sagastiz Optimization Day, Grenoble, Nov. 5, 2014

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JMLR: Workshop and Conference Proceedings vol 40:1–27, 2015 Adaptive Recovery of Signals by Convex Optimization Zaid Harchaoui ZAID . HARCHAOUI @ INRIA . FR

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While the use of statistical methods to identify financial risk factors is a long-standing practice, the use of convex optimization for this purpose is a recent innovation. Specifically, a combination of convex programs

Source URL: mmds-data.org

ThRaSH WorkshopRandom derivative-free optimization of convex functions using a line search oracle Sebastian U. Sticha,b , Christian L. M¨ ullera,b , Bernd G¨artnera

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The Ellipsoid Method: A Survey

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• Mathematics
• Mathematical optimization
• Operations research
• Computational complexity theory
• Linear programming
• Convex optimization
• Complexity classes
• Combinatorial optimization
• Ellipsoid method
• Leonid Khachiyan
• Simplex algorithm
• Ellipsoid

REVIEW SHEET FOR FINAL: ADVANCED MATH 195, SECTION 59 (VIPUL NAIK) To maximize efficiency, please bring a copy (print or readable electronic) of this review sheet to all review sessions. 1. Directional derivatives and gr

Source URL: files.vipulnaik.com

• Mathematical analysis
• Mathematics
• Calculus
• Multivariable calculus
• Differential calculus
• Convex analysis
• Mathematical optimization
• Derivative
• Lagrange multiplier
• Quasiconvex function
• Hessian matrix
• Gradient

IMPLICATIONS OF COST EQUITY CONSIDERATION IN HAZMAT NETWORK DESIGN Longsheng Sun ∗ University at Buffalo, The State University of New York 339A Bell Hall

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• Mathematical optimization
• Operations research
• Convex optimization
• Applied mathematics
• Economy
• Academia
• Risk
• KarushKuhnTucker conditions
• Linear programming
• Duality