A BSSS algorithm for the location problem with minimum square error.
Fathali, Jafar, Zaferanieh, Mehdi, Nezakati, Ahmad (2009)
Advances in Operations Research
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Fathali, Jafar, Zaferanieh, Mehdi, Nezakati, Ahmad (2009)
Advances in Operations Research
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Winkel, Rudolf (2002)
Séminaire Lotharingien de Combinatoire [electronic only]
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Hegarty, Peter, Larsson, Urban (2006)
Integers
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Presutti, Cathleen Battiste (2008)
The Electronic Journal of Combinatorics [electronic only]
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Barton, Reid W. (2004)
The Electronic Journal of Combinatorics [electronic only]
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Novick, Mordechai (2010)
The Electronic Journal of Combinatorics [electronic only]
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Khoroshkin, Anton, Shapiro, Boris (2011)
The Electronic Journal of Combinatorics [electronic only]
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Sasha Anan’in, Carlos Grossi (2012)
Open Mathematics
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Using the Plücker map between grassmannians, we study basic aspects of classic grassmannian geometries. For ‘hyperbolic’ grassmannian geometries, we prove some facts (for instance, that the Plücker map is a minimal isometric embedding) that were previously known in the ‘elliptic’ case.
Björner, Anders, Brenti, Francesco (1996)
The Electronic Journal of Combinatorics [electronic only]
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Tuomo Valkonen, Tommi Kärkkäinen (2009)
ESAIM: Control, Optimisation and Calculus of Variations
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We consider continuous reformulations of the euclidean travelling salesperson problem (TSP), based on certain clustering problem formulations. These reformulations allow us to apply a generalisation with perturbations of the Weiszfeld algorithm in an attempt to find local approximate solutions to the euclidean TSP.
Allahverdi, Ali, Aldowaisan, Tariq, Sotskov, Yuri N. (2003)
International Journal of Mathematics and Mathematical Sciences
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Brändén, Petter, Claesson, Anders (2011)
The Electronic Journal of Combinatorics [electronic only]
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Vitali Dymkou, Michael Dymkov (2003)
International Journal of Applied Mathematics and Computer Science
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This paper uses the theory of entire functions to study the linear quadratic optimization problem for a class of continuous 2D systems. We show that in some cases optimal control can be given by an analytical formula. A simple method is also proposed to find an approximate solution with preassigned accuracy. Some application to the 1D optimization problem is presented, too. The obtained results form a theoretical background for the design problem of optimal controllers for relevant processes. ...