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Solving polynomial least squares problems via semidefinite programming relaxations

机译：通过半定规划松弛求解多项式最小二乘问题

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Sunyoung Kim; Masakazu Kojima;
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年度 2007
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1. Solving polynomial least squares problems via semidefinite programming relaxations [J] . Sunyoung Kim, Masakazu Kojima Journal of Global Optimization . 2010,第1期

机译：通过半定规划松弛来解决多项式最小二乘问题
2. Sums of squares and semidefinite program relaxations for polynomial optimization problems with structured sparsity [J] . Waki H, Kim S, Kojima M, SIAM Journal on Optimization: A Publication of the Society for Industrial and Applied Mathematics . 2006,第1期

机译：具有结构稀疏性的多项式优化问题的平方和半定程序松弛
3. Semidefinite programming vs. LP relaxations for polynomial programming [J] . Lasserre JB. Mathematics of operations research . 2002,第2期

机译：半定式编程与LP松弛进行多项式编程
4. Semidefinite programming relaxations through quadratic reformulation for box-constrained polynomial optimization problems [C] . Sourour Elloumi, Amélie Lambert, Arnaud Lazare International Conference on Control, Decision and Information Technologies . 2019

机译：框约束多项式优化问题的二次定式半定规划松弛
5. Solving the Semidefinite Programming Relaxation of Max-cut Using an Augmented Lagrangian Method [D] . Al-Jilawi, Ahmed. 2019

机译：使用增强拉格朗日方法解决MAX-Cut的Semidefinite编程放松
6. A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation [O] . Shu Cai, Quan Zhou, Hongbo Zhu 2016

机译：最大似然DOA估计的平方和半定规划方法
7. Solving polynomial least squares problems via semidefinite programming relaxations [O] . Sunyoung Kim, Masakazu Kojima 100

机译：通过半定规划松弛来解决多项式最小二乘问题

Solving polynomial least squares problems via semidefinite programming relaxations

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