Second Order Optimization Methods in Lisp
Predrag Stanimirović, Svetozar Rančić (1999)
The Yugoslav Journal of Operations Research
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Predrag Stanimirović, Svetozar Rančić (1999)
The Yugoslav Journal of Operations Research
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Stanimirović, Predrag, Svetozar Rančić (1999)
Acta Mathematica et Informatica Universitatis Ostraviensis
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Ellis L. Johnson, George L. Nemhauser (1992)
The Yugoslav Journal of Operations Research
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Ivan I. Eremin (1998)
The Yugoslav Journal of Operations Research
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Aleksandar Zečević (1995)
The Yugoslav Journal of Operations Research
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Jürgen Guddat, Francisco Guerra, Dieter Nowack (1998)
The Yugoslav Journal of Operations Research
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Christèle Faure (2002)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Automatic differentiation (AD) has proven its interest in many fields of applied mathematics, but it is still not widely used. Furthermore, existing numerical methods have been developed under the hypotheses that computing program derivatives is not affordable for real size problems. Exact derivatives have therefore been avoided, or replaced by approximations computed by divided differences. The hypotheses is no longer true due to the maturity of AD added to the quick evolution of machine...
Holger Mauch (2006)
Control and Cybernetics
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Moncef Abbas, Djamal Chaabane (2002)
RAIRO - Operations Research - Recherche Opérationnelle
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In the present paper a complete procedure for solving Multiple Objective Integer Linear Programming Problems is presented. The algorithm can be regarded as a corrected form and an alternative to the method that was proposed by Gupta and Malhotra. A numerical illustration is given to show that this latter can miss some efficient solutions. Whereas, the algorithm stated bellow determines all efficient solutions without missing any one.
Serafim Opricović, Lorenzo Eccher, Miodrag Isailovski (1992)
The Yugoslav Journal of Operations Research
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S., Paulraj, P., Sumathi (2010)
Mathematical Problems in Engineering
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