题 目:An efficient nonmonotone adaptive cubic regularization method with line search for unconstrained optimization problem
主讲人:李群博士
时 间:2021年11月25日(周四)13:40-14:40
地 点:6号学院楼500会议室
主办单位:2138cn太阳集团古天乐 浙江省2011 “数据科学与大数据分析协同创新中心”
摘要:
In this paper, we present an efficient nonmonotone adaptive cubic regularization method with line search for solving large-scale unconstrained optimization problem. Its global convergence is analyzed. Numerical experiments are performed to show the efficiency and effectiveness of the proposed method and its superiority to the existing some methods.
主讲人简介:
李群,计算数学博士,研究方向是数值代数与最优化。至今已在《Applied Mathematics Letters》、 《Numerical Algorithms》、《Mediterranean Journal of Mathematics》等SCI期刊以主要作者或参与者身份发表了相关研究成果;参与了1项国家自然科学基金面上项目。
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