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122
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SIAMJO
2010
87views more  SIAMJO 2010»
14 years 11 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
127
Voted
ICPR
2008
IEEE
16 years 2 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson
109
Voted
ICRA
1995
IEEE
122views Robotics» more  ICRA 1995»
15 years 4 months ago
Actuator Constraints in Optimal Motion Planning of Manipulators
The optimal motion generation problem is solved subject to various actuator constraints while the motion is constrained to an arbitrary path. The considered objective function is ...
Patrick Plédel, Yasmina Bestaoui
133
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JMLR
2010
182views more  JMLR 2010»
14 years 8 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...
111
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ATAL
2006
Springer
15 years 4 months ago
Solving POMDPs using quadratically constrained linear programs
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...