Duality for multiobjective variational control and multiobjective fractional variational control problems with pseudoinvexity.
Displaying 81 – 100 of 110
Duality for optimal control-approximation problems with gauges.
Wanka, G., Krallert, U. (1999)
Zeitschrift für Analysis und ihre Anwendungen
Duality in Constrained DC-Optimization via Toland’s Duality Approach
Laghdir, M., Benkenza, N. (2003)
Serdica Mathematical Journal
2000 Mathematics Subject Classification: 90C48, 49N15, 90C25In this paper we reconsider a nonconvex duality theory established by B. Lemaire and M. Volle (see [4]), related to a primal problem of minimizing the difference of two convex functions subject to a DC-constraint. The purpose of this note is to present a new method based on Toland-Singer duality principle. Applications to the case when the constraints are vector-valued are provided.
Duality in set-valued optimization [Book]
Song Wen (1998)
Duality in vector optimization. I. Abstract duality scheme
Tran Quoc Chien (1984)
Kybernetika
Duality in vector optimization. II. Vector quasiconcave programming
Tran Quoc Chien (1984)
Kybernetika
Duality in vector optimization. III. Vector partially quasiconcave programming and vector fractional programming
Tran Quoc Chien (1984)
Kybernetika
Duality models for some nonclassical problems in the calculus of variations.
Zalmai, G. J. (2003)
International Journal of Mathematics and Mathematical Sciences
Duality of transformation functions in the interior point methods.
Halická, M., Hamala, M. (1996)
Acta Mathematica Universitatis Comenianae. New Series
Duality results involving functions associated to nonempty subsets of locally convex spaces.
C. Zalinescu (2009)
RACSAM
Duality theorem for fractional functional programming in complex space
Saxena, P.C. (1978)
Portugaliae mathematica
Duality theorems for a class of non-linear programming problems.
Shyam S. Chadha (1988)
Trabajos de Investigación Operativa
Duality of linear programming is used to establish an important duality theorem for a class of non-linear programming problems. Primal problem has quasimonotonic objective function and a convex polyhedron as its constraint set.
Duality theorems for Kantorovich-Rubinstein and Wasserstein functionals [Book]
S. T. Rachev, R. M. (1990)
Duality theory in mathematical programming and optimal control
Jiří V. Outrata, Jiří Jarušek (1984)
Kybernetika
Duality without constraint qualification in nonsmooth optimization.
Nobakhtian, S. (2006)
International Journal of Mathematics and Mathematical Sciences
Duals for classical inventory models via generalized geometric programming.
Scott, Carlton H., Jefferson, Thomas R., Jorjani, Soheila (2004)
Journal of Applied Mathematics and Decision Sciences
Dual-weighted goal-oriented adaptive finite elements for optimal control of elliptic variational inequalities
M. Hintermüller, R. H. W. Hoppe, C. Löbhard (2014)
ESAIM: Control, Optimisation and Calculus of Variations
A dual-weighted residual approach for goal-oriented adaptive finite elements for a class of optimal control problems for elliptic variational inequalities is studied. The development is based on the concept of C-stationarity. The overall error representation depends on primal residuals weighted by approximate dual quantities and vice versa as well as various complementarity mismatch errors. Also, a priori bounds for C-stationary points and associated multipliers are derived. Details on the numerical...
Dvadsať rokov moderných metód vnútorného bodu
Margaréta Halická (2004)
Pokroky matematiky, fyziky a astronomie
Dykstra's algorithm as the nonlinear extension of Bregman's optimization method.
Bregman, Lev M., Censor, Yair, Reich, Simeon (1999)
Journal of Convex Analysis
Dynamic approach to optimum synthesis of a four-bar mechanism using a swarm intelligence algorithm
Edgar A. Portilla-Flores, Maria B. Calva-Yáñez, Miguel G. Villarreal-Cervantes, Paola A. Niño Suárez, Gabriel Sepúlveda-Cervantes (2014)
Kybernetika
This paper presents a dynamic approach to the synthesis of a crank-rocker four-bar mechanism, that is obtained by an optimization problem and its solution using the swarm intelligence algorithm called Modified-Artificial Bee Colony (M-ABC). The proposed dynamic approach states a mono-objective dynamic optimization problem (MODOP), in order to obtain a set of optimal parameters of the system. In this MODOP, the kinematic and dynamic models of the whole system are consider as well as a set of constraints...