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» A Heuristic for Nonlinear Global Optimization
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SIAMJO
2008
93views more  SIAMJO 2008»
13 years 8 months ago
Recursive Trust-Region Methods for Multiscale Nonlinear Optimization
A class of trust-region methods is presented for solving unconstrained nonlinear and possibly nonconvex discretized optimization problems, like those arising in systems governed by...
Serge Gratton, Annick Sartenaer, Philippe L. Toint
ANOR
2005
89views more  ANOR 2005»
13 years 8 months ago
Logic-Based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems
This paper presents a review of advances in the mathematical programming approach to discrete/continuous optimization problems. We first present a brief review of MILP and MINLP f...
Sangbum Lee, Ignacio E. Grossmann
MP
2006
123views more  MP 2006»
13 years 8 months ago
New interval methods for constrained global optimization
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
Mihály Csaba Markót, J. Ferná...
ACCV
2009
Springer
14 years 3 months ago
Globally Optimal Spatio-temporal Reconstruction from Cluttered Videos
We propose a method for multi-view reconstruction from videos adapted to dynamic cluttered scenes under uncontrolled imaging conditions. Taking visibility into account and being ba...
Ehsan Aganj, Jean-Philippe Pons, Renaud Keriven
SIAMJO
2010
87views more  SIAMJO 2010»
13 years 7 months ago
A Second Derivative SQP Method: Global Convergence
Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
Nicholas I. M. Gould, Daniel P. Robinson