Computational Mathematics, Algorithms, and Data Processing
dc.contributor.editor | Mortari, Daniele | |
dc.contributor.editor | Efendiev, Yalchin | |
dc.contributor.editor | Hanin, Boris | |
dc.date.accessioned | 2021-05-01T15:48:36Z | |
dc.date.available | 2021-05-01T15:48:36Z | |
dc.date.issued | 2020 | |
dc.identifier | ONIX_20210501_9783039435913_1139 | |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/69393 | |
dc.description.abstract | “Computational Mathematics, Algorithms, and Data Processing” of MDPI consists of articles on new mathematical tools and numerical methods for computational problems. Topics covered include: numerical stability, interpolation, approximation, complexity, numerical linear algebra, differential equations (ordinary, partial), optimization, integral equations, systems of nonlinear equations, compression or distillation, and active learning. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general | en_US |
dc.subject.classification | thema EDItEUR::P Mathematics and Science | en_US |
dc.subject.other | interpolation | |
dc.subject.other | constraints | |
dc.subject.other | embedded constraints | |
dc.subject.other | generalized multiscale finite element method | |
dc.subject.other | multiscale model reduction | |
dc.subject.other | deep learning | |
dc.subject.other | Deep Neural Nets | |
dc.subject.other | ReLU Networks | |
dc.subject.other | Approximation Theory | |
dc.subject.other | radial basis functions | |
dc.subject.other | native spaces | |
dc.subject.other | truncated function | |
dc.subject.other | approximation | |
dc.subject.other | surface modeling | |
dc.subject.other | second order initial value problems | |
dc.subject.other | linear multistep methods | |
dc.subject.other | Obrechkoff schemes | |
dc.subject.other | trigonometrically fitted | |
dc.subject.other | Darcy-Forchheimer model | |
dc.subject.other | flow in porous media | |
dc.subject.other | nonlinear equation | |
dc.subject.other | heterogeneous media | |
dc.subject.other | finite element method | |
dc.subject.other | multiscale method | |
dc.subject.other | mixed generalized multiscale finite element method | |
dc.subject.other | multiscale basis functions | |
dc.subject.other | two-dimensional domain | |
dc.subject.other | Thiele-like rational interpolation continued fractions with parameters | |
dc.subject.other | unattainable point | |
dc.subject.other | inverse difference | |
dc.subject.other | virtual point | |
dc.subject.other | polynomial chaos | |
dc.subject.other | Szegő polynomials | |
dc.subject.other | directional statistics | |
dc.subject.other | Rogers-Szegő | |
dc.subject.other | state estimation | |
dc.subject.other | clustering | |
dc.title | Computational Mathematics, Algorithms, and Data Processing | |
dc.type | book | |
oapen.identifier.doi | 10.3390/books978-3-03943-592-0 | |
oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | |
oapen.relation.isbn | 9783039435913 | |
oapen.relation.isbn | 9783039435920 | |
oapen.pages | 172 | |
oapen.place.publication | Basel, Switzerland |
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