Linear Programming Duality TheoryTong, Lang
very useful in both theory and practice, we believe that DWEC and our results on it are of independent interest. Second, we use the LP-technique to prove a general sufficient condition for the multilog network to be f-cast nonblocking under the so-called window algorithm. To the best ...
Probabilistic Constrained Linear Programming: Duality TheoryKeywords See also Referencesdoi:10.1007/978-0-387-74759-0_526Komáromi
If either of two dual linear-programming problems has a solution, then so does the other. McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc. Want to thank TFD for its existence?Tell a friend about us, add a link to this pa...
Chapter3Dualitytheory AnimportantdiscoveryintheearlydevelopmentofLP isDualityTheory. EachLPproblem,referredtoas“aprimalproblem”is associatedwithanotherLPproblemcalled“adual problem”. Oneofthekeyusesofdualitytheoryliesinthe interpretationandimplementationofsensitivityanalysis. TheessenceofDualityTheoryTheessenceof...
Fuzzy Mathematical Programming and Fuzzy Matrix Games In the crisp scenario, there exists a beautiful relationship between two person zero sum matrix game theory and duality in linear p- gramming. It is therefore natural to ask if something similar holds in the fuzzy scenario as well... ...
It is discovered that for linear elastic structures, first-level optimization is a typical Knapsack problem, which is considered to be NP-complete in computer science. However, by using canonical duality theory, this well-known problem can be solved analytically to obtain exact integer solution. A...
In some additive number theory applications it would be nice to perturb f slightly so that Fourier transform f^ vanishes at a_1,...,a_k, while additive properties are left intact. In the present paper, we show that even if we are unsuccessful in this, we can at least say something ...
8 Duality in conic optimization¶In Sec. 2 (Linear optimization) we introduced duality and related concepts for linear optimization. Here we present a more general version of this theory for conic optimization and we illustrate it with examples. Although this chapter is self-contained, we ...
Geoffrion, A.M.: Proper efficiency and the theory of vector maximization. J. Math. Anal. Appl. 22(3), 618–630 (1968) Article Google Scholar Ghosh, A., Upadhyay, B.B., Stancu-Minasian, I.M.: Constraint qualifications for multiobjective programming problems on Hadamard manifolds. Aust...