Optimization and Nonsmooth Analysis Frank H. Clarke
Publisher: Society for Industrial Mathematics

Language: English Released: 1992. As central clustering or learning in structured output spaces can be formulated as optimization problems with cost functions that are locally Lipschitz. Makela, Pekka Neittaanmaki Type: eBook. GO Nonsmooth optimization: analysis and algorithms with applications to optimal control. His interests are in Continuous Optimization, particularly nonsmooth and large-scale problems, conic and robust optimization, as well as convex and non smooth analysis. Henrion is a senior researcher and adjunct professor at the Weierstrass Institute for Applied Analysis and Stochastics. Cutting planes and nonsmooth optimization. 15) DNA-folding, patter-forming systems, stochastic analysis. Hence, methods from nonsmooth analysis are applicable to optimize those cost functions. AMATH 521 Special Topics in Mathematical Biology (5, max. Offered: jointly with MATH 516.