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A Lagrangian-DNN relaxation: a fast method for computing tight lower bounds for a class of quadratic optimization problems

机译：拉格朗日 - DNN松弛：一类计算一类二次优化问题的紧下界的快速方法

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Sunyoung Kim; Masakazu Kojima; Kim-chuan Toh;
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年度 2013
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1. A Lagrangian-DNN relaxation: a fast method for computing tight lower bounds for a class of quadratic optimization problems [J] . Kim Sunyoung, Kojima Masakazu, Toh Kim-Chuan Mathematical Programming . 2016,第1a2期

机译：Lagrangian-DNN松弛：一种用于求解一类二次优化问题的紧下界的快速方法
2. A fast branch-and-bound algorithm for non-convex quadratic integer optimization subject to linear constraints using ellipsoidal relaxations [J] . Buchheim Christoph, De Santis Marianna, Palagi Laura Operations Research Letters: A Journal of the Operations Research Society of America . 2015,第4期

机译：椭圆约束下线性约束下非凸二次整数优化的快速分支定界算法
3. COPOSITIVE RELAXATION BEATS LAGRANGIAN DUAL BOUNDS IN QUADRATICALLY AND LINEARLY CONSTRAINED QUADRATIC OPTIMIZATION PROBLEMS [J] . Bomze Immanuel M. SIAM Journal on Optimization: A Publication of the Society for Industrial and Applied Mathematics . 2015,第3期

机译：二次和线性约束二次优化问题中的共松弛松弛拉格朗日对偶界
4. The Semidefinite Relaxation Bounds for Bi-quadratic Optimization with Quadratic Constraints [C] . Xinzhen Zhang, Chen Ling, Liqun Qi The 8th international conference on optimization: Techniques and Applications . 2010

机译：具有二次约束的双二次优化的半定松弛边界
5. A fast parallel algorithm to numerically compute the Markov renewal kernel via tight lower and upper bounds. [D] . Elkins, Debra Ann. 2000

机译：一种快速的并行算法，用于通过严格的上下限来数值计算马尔可夫更新内核。
6. Method for optimizing channelized quadratic observers for binary classification of large-dimensional image datasets [O] . M. K. Kupinski, E. Clarkson -1

机译：多维图像数据集二值分类的信道化二次观测器优化方法
7. A fast branch-and-bound algorithm for non-convex quadratic integer optimization subject to linear constraints using ellipsoidal relaxations [O] . Christoph Buchheim, Marianna De Santis, Laura Palagi 2015

机译：使用椭圆形松弛进行线性约束的非凸二次整数优化的快速分支和绑定算法

A Lagrangian-DNN relaxation: a fast method for computing tight lower bounds for a class of quadratic optimization problems

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