Mostrando 8 resultados de: 8
Filtros aplicados
Publisher
Optimization Methods and Software(3)
ACM Transactions on Mathematical Software(1)
ECCOMAS 2004 - European Congress on Computational Methods in Applied Sciences and Engineering(1)
Mathematical Programming(1)
Numerical Nonsmooth Optimization: State of the Art Algorithms(1)
Área temáticas
Métodos informáticos especiales(2)
Programación informática, programas, datos, seguridad(2)
Ciencias sociales(1)
Gestión y servicios auxiliares(1)
Ingeniería y operaciones afines(1)
Origen
scopus(8)
Beyond the oracle: Opportunities of piecewise differentiation
Book PartAbstract: For more than 30 years much of the research and development in nonsmooth optimization has been pbkp_Palabras claves:Autores:Andreas Griewank, Walther A.Fuentes:scopusADOL-C: Computing higher-order derivatives and sparsity pattern for functions written in C/C++
Conference ObjectAbstract: This paper presents ADOL-C, a software package for the Automatic Differentiation of C and C++ codes.Palabras claves:Automatic differentiation, Forward mode, Higher-order derivatives, Reverse mode, Sparsity detectionAutores:Andreas Griewank, Walther A.Fuentes:scopusAlgorithm 799: Revolve: An implementation of checkpointing for the reverse or adjoint mode of computational differentiation
ArticleAbstract: In its basic form, the reverse mode of computational differentiation yields the gradient of a scalarPalabras claves:Adjoint mode, ALGORITHMS, Checkpointing, Computational differentiation, Reverse modeAutores:Andreas Griewank, Walther A.Fuentes:scopusHigher derivative tensors from univariate Taylor series with comparison to Maple on an engineering problem
ReviewAbstract: We consider the problem of evaluating partial derivatives of a vector function defined by a computerPalabras claves:Autores:Andreas Griewank, Vogel O., Walther A.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 constrained optimization by adjoint based quasi-Newton methods
ArticleAbstract: In this article we propose a new approach to constrained optimization that is based on direct and adPalabras claves:Constrained optimization, KKT system, Lagrangian gradient, Quasi-Newton, Secant updatingAutores:Andreas Griewank, Walther A.Fuentes:scopusOptimal r-order of an adjoint Broyden method without the assumption of linearly independent steps
ArticleAbstract: Quasi-Newton methods based on least change secant updating formulas that solve linear equations Ax=bPalabras claves:Adjoint-based update, Automatic differentiation, nonlinear equations, Quasi-Newton methods, R-orderAutores:Andreas Griewank, Schlenkrich S., Walther A.Fuentes:scopusMaintaining factorized KKT systems subject to rank-one updates of Hessians and Jacobians
ArticleAbstract: For use in a total quasi-Newton NLP code [Griewank, A. and Walther, A., 2002, On constrained optimizPalabras claves:KKT Matrix, Low-rank update, Nullspace method, QR factorization, Reduced Hessian, Total quasi-NewtonAutores:Andreas Griewank, Korzec M., Walther A.Fuentes:scopus