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ANOR
2002
100views more  ANOR 2002»
13 years 5 months ago
A Limited-Memory Multipoint Symmetric Secant Method for Bound Constrained Optimization
A new algorithm for solving smooth large-scale minimization problems with bound constraints is introduced. The way of dealing with active constraints is similar to the one used in...
Oleg P. Burdakov, José Mario Martíne...
MP
2002
101views more  MP 2002»
13 years 5 months ago
Componentwise fast convergence in the solution of full-rank systems of nonlinear equations
The asymptotic convergence of parameterized variants of Newton's method for the solution of nonlinear systems of equations is considered. The original system is perturbed by a...
Nicholas I. M. Gould, Dominique Orban, Annick Sart...
TNN
1998
132views more  TNN 1998»
13 years 5 months ago
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
SIAMJO
2010
83views more  SIAMJO 2010»
13 years 4 months ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
13 years 11 months ago
Convergence Examples of a Filter-Based Evolutionary Algorithm
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...
Lauren M. Clevenger, William E. Hart