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A least-squares-based method for a class of nonsmooth minimization problems with applications in plasticity (1991)

Abstract
This paper introduces a globally convergent algorithm for solving a class of nonsmooth optimization problems, involving square roots of quadratic forms. The class includes in particular limit analysis problems in plasticity. The algorithm combines smoothing with successive approximation. The main computational effort in each iteration is solving a linear weighted least-squares problem. The convergence of the algorithm is proved and an a priori error estimate is obtained. Numerical results are presented for two limit analysis problems.. Peer Reviewed. http://deepblue.lib.umich.edu/bitstream/2027.42/48092/1/245_2005_Article_BF01447746.pdf

Publication details
Download , http://hdl.handle.net/2027.42/48092
Publisher Springer-Verlag; Springer-Verlag New York Inc.
Contributors Department of Mechanical Engineering and Applied Mechanics, University of Michigan, 48109, Ann Arbor, MI, USA, Faculty of Industrial Engineering and Management, Technion, 32000, Haifa, Israel, Department of Mathematics and Statistics, University of Maryland, Baltimore County Campus, 21228, Baltimore, MD, USA, Ann Arbor
Repository University of Michigan (United States)
Keywords Mathematics, Systems Theory, Control, Optimization, Numerical and Computational Methods, Mathematical Methods in Physics, Mathematical and Computational Physics, Calculus of Variations and Optimal Control, Mathematics, Science
Language English