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Recent Advances in Optimization and its Applications in Engineering(1)
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scopus(6)
An algorithm for nonsmooth optimization by successive piecewise linearization
ArticleAbstract: We present an optimization method for Lipschitz continuous, piecewise smooth (PS) objective functionPalabras claves:abs-normal form, Algorithmic differentiation, Clarke stationary, Nonsmooth optimization, Piecewise smoothnessAutores:Andreas Griewank, Fiege S., Walther A.Fuentes:scopusAdaptive sequencing of primal, dual, and design steps in simulation based optimization
ArticleAbstract: Many researchers have used Oneshot optimization methods based on user-specified primal state iteratiPalabras claves:Algorithmic differentiation, Bounded retardation factor, Convergence rates, Eigenvalue analysis, Multistep Oneshot, Optimization, PDE constraint, Preconditioning matrices, Second order sufficiency conditionsAutores:Andreas Griewank, Bosse T., Lehmann L.Fuentes:scopusAlgorithmic differentiation for piecewise smooth functions: a case study for robust optimization
ArticleAbstract: This paper presents a minimization method for Lipschitz continuous, piecewise smooth objective functPalabras claves:90C26, 90C30, 90C47, Algorithmic differentiation, Nonsmooth optimization, Piecewise linearization, Robust optimizationAutores:Andreas Griewank, Fiege S., Kulshreshtha K., Walther A.Fuentes:scopusEfficient evaluation of Sparse Jacobians by matrix compression part II: Implementation and experiments
ArticleAbstract: The accurate and efficient calculations of Jacobians matrices at a sequence of arguments is a key inPalabras claves:Algorithmic differentiation, Graph coloring, Matrix compression, Traveling salesmanAutores:Andreas Griewank, Strogies N.Fuentes:scopusOn Lipschitz optimization based on gray-box piecewise linearization
ArticleAbstract: We address the problem of minimizing objectives from the class of piecewise differentiable functionsPalabras claves:abs-normal form, Algorithmic differentiation, bundle methods, Nonsmooth optimization, Piecewise linearityAutores:Andreas Griewank, Bosse T., Fiege S., Walther A.Fuentes:scopusOn hessian- and jacobian-free SQP methods - A total quasi-Newton scheme with compact storage
Book PartAbstract: In this paper we describe several modifications to reduce the memory requirement of the total quasi-Palabras claves:Algorithmic differentiation, BFGS, Compact representation (with damping), Limited-memory, NLP, Symmetric rank-one update, Total quasi-Newton methodAutores:Andreas Griewank, Bosse T., Lehmann L., Schlohauer V.Fuentes:scopus