Results 11 to 20 of about 2,261 (257)
Constraint qualifications in input optimisation [PDF]
AbstractWe introduce assumptions in input optimisation that simplify the necessary conditions for an optimal input. These assumptions, in the context of nonlinear programming, give rise to conceptually new kinds of constraint qualifications.
van Rooyen, M., Sears, M., Zlobec, S.
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Min–sup-type zero duality gap properties for DC composite optimization problem
In this paper, we present min–sup-type zero duality gap properties for DC composite optimization problem with conic constraints. Using properties of the subdifferentials of involved functions, we introduce some new constraint qualifications.
Li Ping Tian, Dong Hui Fang
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Inertial Extragradient Methods for Solving Split Equilibrium Problems
This paper presents two inertial extragradient algorithms for finding a solution of split pseudomonotone equilibrium problems in the setting of real Hilbert spaces. The weak and strong convergence theorems of the introduced algorithms are presented under
Suthep Suantai +2 more
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On an exact penality result and new constraint qualifications for mathematical programs with vanishing constraints [PDF]
In this paper, we considered the mathematical programs with vanishing constraints or MPVC. We proved that an MPVC-tailored penalty function, introduced in [5], is still exact under a very weak and new constraint qualification.
Nath Triloki, Khare Abeka
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Strong and Total Lagrange Dualities for Quasiconvex Programming
We consider the strong and total Lagrange dualities for infinite quasiconvex optimization problems. By using the epigraphs of the z-quasi-conjugates and the Greenberg-Pierskalla subdifferential of these functions, we introduce some new constraint ...
Donghui Fang, XianFa Luo, Xianyun Wang
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The Lagrangian, constraint qualifications and economics
AbstractConsidering constrained choice, practitioners and theorists frequently invoke a Lagrangian to generate optimality conditions. Regular use of that vehicle requires, however, some constraintqualification. Yet many economists go easy on the mathematics of that issue. Conversely, few mathematicians elaborate on the economics of the context. Thereby
Sjur D. Flåm, Jan-J. Rückmann
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Linear semidefinite programming problems: regularisation and strong dual formulations
Regularisation consists in reducing a given optimisation problem to an equivalent form where certain regularity conditions, which guarantee the strong duality, are fulfilled.
Olga I. Kostyukova +1 more
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Lagrange-type duality in DC programming problems with equivalent DC inequalities
In this paper, we provide Lagrange-type duality theorems for mathematical programming problems with DC objective and constraint functions. The class of problems to which Lagrange-type duality theorems can be applied is broader than the class in the ...
Ryohei Harada, Daishi Kuroiwa
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In this paper, we investigate constraint qualifications and optimality conditions for multiobjective mathematical programming problems with vanishing constraints (MOMPVC) on Hadamard manifolds.
Balendu Bhooshan Upadhyay +3 more
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RDFS(c) Schema Inconsistency Checking Based on a Key Instance and Its Query Rewriting
The introduction of a constraint mechanism to the resource description framework schema (RDFS) poses challenges for keeping RDFS ontologies consistent, particularly in the presence of reasoning rules (RRs).
Xiaofei Zhao, Fanzhang Li, Hongji Yang
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