Results 51 to 60 of about 516 (82)
Unified Robust Necessary Optimality Conditions for Nonconvex Nonsmooth Uncertain Multiobjective Optimization. [PDF]
J Optim Theory Appl, 2022 Wang J, Li S, Feng M.
europepmc +1 more source
Strong duality in conic linear programming: facial reduction and extended duals
, 2013 The facial reduction algorithm of Borwein and Wolkowicz and the extended dual of Ramana provide a strong dual for the conic linear program $$ (P) \sup { | Ax \leq_K b} $$ in the absence of any constraint qualification.
A. Ben-Tal +24 more
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A Stochastic Nash Equilibrium Problem for Medical Supply Competition. [PDF]
J Optim Theory Appl, 2022 Fargetta G, Maugeri A, Scrimali L.
europepmc +1 more source
Minimizing measures of risk by saddle point conditions. [PDF]
The minimization of risk functions is becoming a very important topic due to its interesting applications in Mathematical Finance and Actuarial Mathematics. This paper addresses this issue in a general framework.
Balbás, Alejandro +2 more
core
ON SUFFICIENCY IN MULTIOBJECTIVE PROGRAMMING INVOLVING GENERALIZED G,C,r - TYPE I FUNCTIONS
, 2013 : In this paper, a new class of (G,C,r)-type I functions and their generalizations are introduced. We consider a class of differentiable multiobjective optimization problems and establish sufficient optimality conditions.
Y. Singh +3 more
semanticscholar +1 more source
Optimization problems with quasiconvex inequality constraints [PDF]
The constrained optimization problem min f(x), gj(x) 0 (j = 1, . . . , p) is considered, where f : X ! R and gj : X ! R are nonsmooth functions with domain X Rn.
Ginchev Ivan, Ivanov Vsevolod
core
, 2013 : A second order Mond-Weir type dual is presented for a non-differentiable multiobjective optimization problem with square root terms in the objective as well as in the constraints. Optimality and duality results are presented.
Rishi Rajan Sahay, Guneet Bhatia
semanticscholar +1 more source
On Lagrangian Duality in Vector Optimization. Applications to the linear case. [PDF]
The paper deals with vector constrained extremum problems. A separation scheme is recalled; starting from it, a vector Lagrangian duality theory is developed. The linear duality due to Isermann can be embedded in this separation approach.
Elisa Pagani
core
Introduction to Optimal Transport Theory
, 2009 These notes constitute a sort of Crash Course in Optimal Transport Theory. The different features of the problem of Monge-Kantorovitch are treated, starting from convex duality issues. The main properties of space of probability measures endowed with the
Santambrogio, Filippo
core +2 more sources
A comprehensive view on optimization: reasonable descent [PDF]
Reasonable descent is a novel, transparent approach to a well-established field: the deep methods and applications of the complete analysis of continuous optimization problems.
Brinkhuis, J.
core +1 more source