Litcius/Paper detail

Random points are good for universal discretization

Feng Dai, V. Temlyakov

2023Journal of Mathematical Analysis and Applications23 citationsDOI

Topics & Concepts

DiscretizationDiscretization of continuous featuresMathematicsSampling (signal processing)Discretization errorApplied mathematicsNorm (philosophy)Function (biology)Mathematical optimizationMathematical analysisComputer scienceEvolutionary biologyPolitical scienceFilter (signal processing)Computer visionBiologyLawSparse and Compressive Sensing TechniquesMathematical Approximation and IntegrationMathematical Analysis and Transform Methods
Random points are good for universal discretization | Litcius