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ANOR
2002
100views more  ANOR 2002»
15 years 6 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...
AAECC
1999
Springer
82views Algorithms» more  AAECC 1999»
15 years 6 months ago
Reasoning over Networks by Symbolic Methods
Effective quantifier elimination procedures for the reals allow to solve problems that can be encoded into corresponding first-order formulas including ordering constraints. In con...
Thomas Sturm
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ECCV
2010
Springer
15 years 11 months ago
Bilinear factorization via Augmented Lagrange Multipliers
This paper presents a unified approach to solve different bilinear factorization problems in Computer Vision in the presence of missing data in the measurements. The problem is f...
CCE
2008
15 years 6 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny