Model reduction by CPOD and Kriging

References

Page 1

	Year	Citations
The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows Gal Berkooz, Philip Holmes, J. L. Lumley Annual Review of Fluid Mechanics Numerical AnalysisAeroacousticsGoverning EquationsUnsteady FlowEngineering	1993	4.1K
A Taxonomy of Global Optimization Methods Based on Response Surfaces Donald R. Jones Journal of Global Optimization	2001	2.1K
DACE - A Matlab Kriging Toolbox Hans Bruun Nielsen, Søren Lophaven, Jacob Søndergaard Numerical AnalysisNumerical ComputationContinuous OptimizationMatlab Kriging ToolboxCurve Fitting	2002	936
A Radial Basis Function Method for Global Optimization Hans-Martin Gutmann Journal of Global Optimization	2001	874
DACE - A Matlab Kriging Toolbox, Version 2.0 Søren Lophaven, Hans Bruun Nielsen, Jacob Søndergaard Numerical AnalysisNumerical ComputationEngineeringContinuous OptimizationMatlab Kriging Toolbox	2002	455
A comparison of approximation modeling techniques - Polynomial versus interpolating models Anthony Giunta, Layne T. Watson 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization Mathematical ProgrammingNumerical AnalysisParameter EstimationPade ApproximantEngineering	1998	396
On the accuracy of the polynomial chaos approximation Richard Field, M. Grigoriu Probabilistic Engineering Mechanics Numerical AnalysisPade ApproximantEngineeringChaos TheoryPolynomial Chaos Approximation	2004	139
Model Reduction via the Karhunen-Loeve Expansion Part I: An Exposition Andrew J. Newman Digital Repository at the University of Maryland (University of Maryland College Park)	1996	93
Model reduction for multidisciplinary optimization - application to a 2D wing Rajan Filomeno Coelho, Piotr Breitkopf, Catherine Knopf‐Lenoir Structural and Multidisciplinary Optimization Numerical AnalysisAeronauticsEngineeringMultidisciplinary Design OptimizationAerospace Engineering	2008	71
Approximation by neural networks and learning theory V. Maiorov Journal of Complexity EngineeringComputational Learning TheoryMachine LearningApproximation MethodNeural Networks	2005	56

Page 1