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MP
2008
100views more  MP 2008»
15 years 6 months ago
Selected topics in robust convex optimization
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
Aharon Ben-Tal, Arkadi Nemirovski
SODA
2003
ACM
122views Algorithms» more  SODA 2003»
15 years 8 months ago
Certifying and repairing solutions to large LPs how good are LP-solvers?
State-of-the-art linear programming (LP) solvers give solutions without any warranty. Solutions are not guaranteed to be optimal or even close to optimal. Of course, it is general...
Marcel Dhiflaoui, Stefan Funke, Carsten Kwappik, K...
TSP
2008
114views more  TSP 2008»
15 years 6 months ago
Zero-Forcing Precoding and Generalized Inverses
Abstract--We consider the problem of linear zero-forcing precoding design and discuss its relation to the theory of generalized inverses in linear algebra. Special attention is giv...
Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
BMCBI
2005
108views more  BMCBI 2005»
15 years 6 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
IPCO
2001
79views Optimization» more  IPCO 2001»
15 years 8 months ago
Synthesis of 2-Commodity Flow Networks
We investigate network design under volatile conditions of link failures and traffic overload. Our model is a non-simultaneous 2-commodity problem. We characterize the feasible so...
Refael Hassin, Asaf Levin