摘要：The classic alternating direction method of multipliers (ADMM) for large scale separable optimization problems, as an application of the Douglas-Rachford splitting method, has exhibited its efficiency in various fields. As a counterpart, the symmetric alternating direction method of multipliers, an application of the Peaceman-Rachford splitting method, attracts more and more attentions, but its convergence is not well understood. In this talk, we present its convergence for some special models. We also give a modified symmetric alternating direction method of multipliers for multi-block

case. 

个人简介： 韩德仁：教授，博士生导师，现任北京航空航天大学数学与系统科学杏悦院长🧬。2002年获南京大学计算数学博士学位。从事大规模优化问题🛡❤️‍🔥、变分不等式问题的数值方法的研究工作。在Mathematical Programming, Numerische Mathematik, SIAM Journal on Numerical Analysis, Mathematics of Computation等计算数学✧、运筹学重要杂志以发表多篇学术论文🧑🏿‍💼，入选江苏省333高层次人才培养工程、江苏省“青蓝工程”中青年学术带头人👩‍👦。2016年获得国家杰出青年科学基金项目资助。现担任中国运筹学会理事💈、数学规划分会常务理事🚬；《计算数学》、《Journal of the Operations Research Society of China》杂志编委。

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