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SIAMJO
2002
133views more  SIAMJO 2002»
14 years 10 months ago
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
Abstract. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...
Philip E. Gill, Walter Murray, Michael A. Saunders
JMLR
2006
145views more  JMLR 2006»
14 years 11 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
HPCN
1995
Springer
15 years 2 months ago
Exploiting high performance Fortran for computational fluid dynamics
Abstract. We discuss the High Performance Fortran data parallel programming language as an aid to software engineering and as a tool for exploiting High Performance Computing syste...
Kenneth A. Hawick, Geoffrey Fox
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 2 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ECRTS
2006
IEEE
15 years 5 months ago
Optimal On-Line Scheduling of Multiple Control Tasks: A Case Study
We study the problem of dynamically scheduling a set of state-feedback control tasks controlling a set of linear plants. We consider an on-line non-preemptive scheduling policy th...
Anton Cervin, Peter Alriksson