Efficiency in terms of Lagrangian.
Bebu, I., Ureche, G. (2001)
APPS. Applied Sciences
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Bebu, I., Ureche, G. (2001)
APPS. Applied Sciences
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Letizia Pellegrini (2010)
RAIRO - Operations Research
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In this paper we present the image space analysis, based on a general separation scheme, with the aim of studying Lagrangian duality and shadow prices in Vector Optimization. Two particular kinds of separation are considered; in the linear case, each of them is applied to the study of sensitivity analysis, and it is proved that the derivatives of the perturbation function can be expressed in terms of vector Lagrange multipliers or shadow prices.
Gutiérrez, J.M. (1997)
Journal of Convex Analysis
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Gemayqzel Bouza-Allende, Jurgen Guddat (2010)
The Yugoslav Journal of Operations Research
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Barbara I. Wohlmuth (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
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Domain decomposition techniques provide a powerful tool for the numerical approximation of partial differential equations. We focus on mortar finite element methods on non-matching triangulations. In particular, we discuss and analyze dual Lagrange multiplier spaces for lowest order finite elements. These non standard Lagrange multiplier spaces yield optimal discretization schemes and a locally supported basis for the associated constrained mortar spaces. As a consequence, standard...
Bishnu P. Lamichhane, Barbara I. Wohlmuth (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
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Domain decomposition techniques provide a flexible tool for the numerical approximation of partial differential equations. Here, we consider mortar techniques for quadratic finite elements in 3D with different Lagrange multiplier spaces. In particular, we focus on Lagrange multiplier spaces which yield optimal discretization schemes and a locally supported basis for the associated constrained mortar spaces in case of hexahedral triangulations. As a result, standard efficient iterative...