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» Methods for convex and general quadratic programming
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JGO
2011
149views more  JGO 2011»
14 years 6 months ago
A logarithmic-quadratic proximal point scalarization method for multiobjective programming
We present a proximal point method to solve multiobjective problems based on the scalarization for maps. We build a family of a convex scalar strict representation of a convex map...
Ronaldo Gregório, Paulo Roberto Oliveira
OL
2007
133views more  OL 2007»
14 years 10 months ago
An SQP-type algorithm for nonlinear second-order cone programs
We propose an SQP-type algorithm for solving nonlinear second-order cone programming (NSOCP) problems. At every iteration, the algorithm solves a convex SOCP subproblem in which th...
Hirokazu Kato, Masao Fukushima
SIAMJO
2010
87views more  SIAMJO 2010»
14 years 9 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
EUSFLAT
2009
155views Fuzzy Logic» more  EUSFLAT 2009»
14 years 8 months ago
A Generalized Numerical Solution for Fuzzy Relation Equations
In this paper, line search based on Sequential Quadratic Programming is implemented in order to find a solution to Fuzzy Relation Equations. Sequential Quadratic Programming is a g...
Iman Mohammadi Ardehali, Milad Avazbeigi
ICML
2006
IEEE
15 years 12 months ago
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation
Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
Pradeep D. Ravikumar, John D. Lafferty