Duality in vector optimization. I. Abstract duality scheme
Duality in vector optimization. II. Vector quasiconcave programming
Duality in vector optimization. III. Vector partially quasiconcave programming and vector fractional programming
Duality models for some nonclassical problems in the calculus of variations.
Duality of transformation functions in the interior point methods.
Duality results involving functions associated to nonempty subsets of locally convex spaces.
Duality theorem for fractional functional programming in complex space
Duality theorems for a class of non-linear programming problems.
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]
Duality theory in mathematical programming and optimal control
Duality without constraint qualification in nonsmooth optimization.
Duals for classical inventory models via generalized geometric programming.
Dual-weighted goal-oriented adaptive finite elements for optimal control of elliptic variational inequalities
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
Dykstra's algorithm as the nonlinear extension of Bregman's optimization method.
Dynamic approach to optimum synthesis of a four-bar mechanism using a swarm intelligence algorithm
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...
Dynamic monetary risk measures for bounded discrete-time processes.
Dynamic optimal cooling control for continuous casting of steel
Dynamic Programming: an overview