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A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

2020Journal of Approximation Theory38 citationsDOIOpen Access PDF

Topics & Concepts

MathematicsKernel (algebra)Greedy algorithmConvergence (economics)Mathematical optimizationComputationStability (learning theory)AlgorithmSampling (signal processing)Selection (genetic algorithm)Sobolev spaceComputer scienceDiscrete mathematicsArtificial intelligenceMachine learningEconomicsEconomic growthFilter (signal processing)Mathematical analysisComputer visionNumerical methods in engineeringModel Reduction and Neural NetworksAdvanced Numerical Methods in Computational Mathematics
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution | Litcius