Indexed by:会议论文
Date of Publication:2012-06-23
Included Journals:EI、Scopus
Page Number:256-260
Abstract:An exact method for solving the problem of minimizing the maximum of a finite number of functions consists of solving a sequence of subproblems when quadratic approximations to the functions are employed in the determination of a search direction. For problems of large size, solving the subproblems exactly can be very expensive. In this paper we study truncated methods for solving the minimax problem. In such a truncated method, the subproblems and quadratic subproblems are solved only up to a certain degree of accuracy. The necessary accuracies that are needed to preserve the nice features of the exact method are established. The numerical results show that this method is efficient. ? 2012 IEEE.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:吉林大学
Degree:Doctoral Degree
School/Department:数学科学学院
Discipline:Computational Mathematics. Financial Mathematics and Actuarial Science
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