数学
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An efficient stochastic subgradient method for the global placement problem in very large-scale integration circuits
作者Yi-Shuang Yue; Yu-Hong Dai; Haijun Yu
作者单位1. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China; 2. State Key Laboratory of Mathematical Sciences (SKLMS) and State Key Laboratory of Scientific and Engineering Computing (LSEC), Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Haidian District, China
Robust chance-constrained optimization with discrete distributions
作者Daniela Bernhard; Frauke Liers; Michael Stingl
作者单位1. Department of Data Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; 2. Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Benefits of the IOPIS paradigm on the landscapes of multiobjective optimization problems
作者Bhupinder Singh Saini; Michael Emmerich; Kaisa Miettinen
作者单位1. University of Jyvaskyla, Faculty of Information Technology, Universityof Jyvaskyla, Finland; 2. University of Jyvaskyla, University of Jyvaskyla, Finland
Constrained consensus-based optimization and numerical heuristics for the few particle regime
作者Jonas Beddrich; Enis Chenchene; Massimo Fornasier; Hui Huang; Barbara Wohlmuth
作者单位1. Department of Mathematics, Technical University of Munich, Garching by Munich, Germany; 2. Faculty of Mathematics, University of Vienna, Vienna, Austria; 3. Munich Data Science Institute, Technical University of Munich, Garching by Munich, Germany; 4. Munich Center for Machine Learning, Munich, Germany; 5. School of Mathematics, Hunan University, Changsha, China
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