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CG
2011
Springer
13 years 4 days ago
A projected back-tracking line-search for constrained interactive inverse kinematics
Inverse kinematics is the problem of manipulating the pose of an articulated figure in order to achieve a desired goal disregarding inertia and forces. One can approach the probl...
Morten Engell-Nørregård, Kenny Erlebe...
ECML
2007
Springer
14 years 2 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
TIP
2010
163views more  TIP 2010»
13 years 3 months ago
Fast Image Recovery Using Variable Splitting and Constrained Optimization
We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction which consists of an unconstrained optimization problem where t...
Manya V. Afonso, José M. Bioucas-Dias, M&aa...
EOR
2007
105views more  EOR 2007»
13 years 8 months ago
Newton's method and its use in optimization
Newton’s method is a basic tool in numerical analysis and numerous applications, including operations research and data mining. We survey the history of the method, its main ide...
Boris T. Polyak
ENC
2005
IEEE
14 years 2 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...