A new duality theory for mathematical programming

Optimization ◽  
2011 ◽  
Vol 60 (8-9) ◽  
pp. 1209-1231 ◽  
Author(s):  
B.F. Svaiter
Author(s):  
Izhar Ahmad ◽  
Divya Agarwal ◽  
Kumar Gupta

Duality theory plays an important role in optimization theory. It has been extensively used for many theoretical and computational problems in mathematical programming. In this paper duality results are established for first and second order Wolfe and Mond-Weir type symmetric dual programs over general polyhedral cones in complex spaces. Corresponding duality relations for nondifferentiable case are also stated. This work will also remove inconsistencies in the earlier work from the literature.


Author(s):  
C. H. Scott ◽  
T. R. Jefferson

AbstractRecently we have developed a completely symmetric duality theory for mathematical programming problems involving convex functionals. Here we set our theory within the framework of a Lagrangian formalism which is significantly different to the conventional Lagrangian. This allows various new characterizations of optimality.


2002 ◽  
Vol 8 (1) ◽  
pp. 4-33 ◽  
Author(s):  
Juozas Atkočiūnas ◽  
Algirdas Čižas

The study describes how in Lithuania (mostly in Vilnius) during some past decades a new trend of investigations in structural mechanics thanks to Aleksandras Čyras' (1927–2001) research and organisational activities has been developed. The main distinguished features of the trend are: application of mathematical programming, and especially the duality theory, to the optimization of elastic-plastic and other structures, formulation of mathematical models of structural mechanics problems, elaborating algorithms and programmes for their solution. The advantages of the research results are shown, a large information concerning the publication of the results and the evolution of investigations initiated by A. Čyras are presented.


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