Applications
Benner, Peter, Grivet-Talocia, Stefano, Quarteroni, Alfio, Rozza, Gianluigi, Schilders, Wil H.A., Silveira, Luís Miguel
Abstract
An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Topics & Concepts
Dimensionality reductionReduction (mathematics)Computer scienceComputational neurosciencePopulationPremovement neuronal activityLinear subspaceInterpolation (computer graphics)Sensory systemModel order reductionDecompositionNeuroscienceArtificial intelligenceAlgorithmMathematicsBiologyDemographyProjection (relational algebra)Motion (physics)SociologyGeometryEcologyModel Reduction and Neural NetworksControl Systems and IdentificationNeural Networks and Applications