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Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion

机译：利用正半定矩阵完备法挖掘线性和非线性矩阵不等式的稀疏性

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Sunyoung Kim; Masakazu Kojima; Martin Mevissen; Makoto Yamashita;
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年度 2010
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1. Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion [J] . Kim S., Kojima M., Mevissen M., Mathematical Programming . 2011,第1期

机译：通过正半定矩阵完成来利用线性和非线性矩阵不等式中的稀疏性
2. Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion [J] . Sunyoung Kim, Masakazu Kojima, Martin Mevissen, Mathematical Programming . 2011,第1期

机译：通过正半定矩阵完成来利用线性和非线性矩阵不等式中的稀疏性
3. Exploiting sparsity in semidefinite programming via matrix completion II: implementation and numerical results [J] . Nakata K., Fujisawa K., Fukuda M., Mathematical Programming . 2003,第2期

机译：通过矩阵完成在半定规划中利用稀疏性II：实现和数值结果
4. Exploiting Sparsity in the Matrix-Dilation Approach to Robust Semidefinite Programming [C] . Oishi, Yasuaki, Isaka, . 2007

机译：矩阵膨胀法在稀疏半定规划中的稀疏性开发
5. Minimum Rank Positive Semidefinite Matrix Completion with Chordal Sparsity Pattern [D] . Jiang, Xin. 2017

机译：最小排名正面Semidefinite矩阵完成与曲棍球稀疏模式
6. Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas [O] . Lei Chen, Han Zhang, Junfeng Lu, -1

机译：高级别胶质瘤患者的MGMT和IDH1联合状态预测的多标签非线性矩阵完成与传导性多任务特征选择
7. Exploiting sparsity in semidefinite programming via matrix completion II: Implementation and Numerical Results [O] . Kazuhide Nakata, Katsuki Fujisawa, Mituhiro Fukuda, 2001

机译：通过矩阵完成在半定编程中利用稀疏性II：实现和数值结果

Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion

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