Mostrando 10 resultados de: 13
Filtros aplicados
Publisher
Optimization Methods and Software(4)
Mathematical Programming(3)
SIAM Journal on Optimization(2)
Algorithms(1)
Applicable Analysis(1)
Área temáticas
Programación informática, programas, datos, seguridad(5)
Ciencias de la computación(4)
Análisis numérico(3)
Análisis(2)
Gestión y servicios auxiliares(2)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(13)
ODS 17: Alianzas para lograr los objetivos(11)
ODS 12: Producción y consumo responsables(1)
ODS 4: Educación de calidad(1)
Origen
scopus(13)
ADOL-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:scopusCharacterizing and testing subdifferential regularity in piecewise smooth optimization
ArticleAbstract: Functions defined by evaluation programs involving smooth elementals and absolute values as well asPalabras claves:abs-normal form, Clarke generalized gradient, First-order-convexity, Linear independence kink qualification, Mangasarin–Fromovitz kink qualification, Mordukhovich subdifferential, Subdifferential regularityAutores:Andreas Griewank, Walther A.Fuentes:scopusBeyond the oracle: Opportunities of piecewise differentiation
Book PartAbstract: For more than 30 years much of the research and development in nonsmooth optimization has been prediPalabras claves:Autores:Andreas Griewank, Walther A.Fuentes:scopusAn 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: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:scopusFinite convergence of an active signature method to local minima of piecewise linear functions
ArticleAbstract: We previously derived first-order (KKT) and second-order (SOSC) optimality conditions for functionsPalabras claves:abs-normal form, active set and signature, Karush–Kuhn–Tucker (KKT), linear independence kink qualification (LIKQ), normal growth, quadratic regularization, Successive abs-linear minimization (SALMIN), tangential stationarityAutores:Andreas Griewank, Walther A.Fuentes:scopusFirst- and second-order optimality conditions for piecewise smooth objective functions
ArticleAbstract: Any piecewise smooth function that is specified by an evaluation procedure involving smooth elementaPalabras claves:abs-normal form, decomposition, Karush–Kuhn–Tucker, normal growth, Piecewise linearization, projected Hessian, second-order optimality, tangential stationarityAutores:Andreas Griewank, Walther A.Fuentes:scopusNonsmooth optimization by successive abs-linearization in function spaces
ArticleAbstract: We present and analyze the solution of nonsmooth optimization problems by a quadratic overestimationPalabras claves:Abs-linearization, first-order minimality, Jen-Chih Yao, quadratic overestimation methodAutores:Andreas Griewank, Schmidt S., Walther A., Weiß O.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 the local convergence of adjoint Broyden methods
ArticleAbstract: The numerical solution of nonlinear equation systems is often achieved by so-called quasi-Newton metPalabras claves:Adjoint based update, Automatic differentiation, nonlinear equations, Quasi-Newton methodsAutores:Andreas Griewank, Schlenkrich S., Walther A.Fuentes:scopus