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OL
2007
156views more  OL 2007»
13 years 4 months ago
A trust region SQP algorithm for mixed-integer nonlinear programming
We propose a modified sequential quadratic programming (SQP) method for solving mixed-integer nonlinear programming problems. Under the assumption that integer variables have a s...
Oliver Exler, Klaus Schittkowski
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
14 years 5 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
CDC
2010
IEEE
130views Control Systems» more  CDC 2010»
13 years 12 days ago
A fast well-conditioned interior point method for predictive control
Interior point methods (IPMs) have proven to be an efficient way of solving quadratic programming problems in predictive control. A linear system of equations needs to be solved in...
Amir Shahzad, Eric C. Kerrigan, George A. Constant...
ATAL
2006
Springer
13 years 9 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...
ICASSP
2009
IEEE
14 years 4 days ago
A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise
Iterative optimization algorithms such as the forward-backward and Douglas-Rachford algorithms have recently gained much popularity since they provide efficient solutions to a wi...
Nelly Pustelnik, Caroline Chaux, Jean-Christophe P...