Computational Mathematics, Algorithms, and Data Processing
“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 equation...
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Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 electronic resource (172 p.) |
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100 | 1 | |a Mortari, Daniele |4 edt | |
245 | 1 | 0 | |a Computational Mathematics, Algorithms, and Data Processing |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 electronic resource (172 p.) | ||
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520 | |a “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. | ||
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650 | 7 | |a Research & information: general |2 bicssc | |
650 | 7 | |a Mathematics & science |2 bicssc | |
653 | |a interpolation | ||
653 | |a constraints | ||
653 | |a embedded constraints | ||
653 | |a generalized multiscale finite element method | ||
653 | |a multiscale model reduction | ||
653 | |a deep learning | ||
653 | |a Deep Neural Nets | ||
653 | |a ReLU Networks | ||
653 | |a Approximation Theory | ||
653 | |a radial basis functions | ||
653 | |a native spaces | ||
653 | |a truncated function | ||
653 | |a approximation | ||
653 | |a surface modeling | ||
653 | |a second order initial value problems | ||
653 | |a linear multistep methods | ||
653 | |a Obrechkoff schemes | ||
653 | |a trigonometrically fitted | ||
653 | |a Darcy-Forchheimer model | ||
653 | |a flow in porous media | ||
653 | |a nonlinear equation | ||
653 | |a heterogeneous media | ||
653 | |a finite element method | ||
653 | |a multiscale method | ||
653 | |a mixed generalized multiscale finite element method | ||
653 | |a multiscale basis functions | ||
653 | |a two-dimensional domain | ||
653 | |a Thiele-like rational interpolation continued fractions with parameters | ||
653 | |a unattainable point | ||
653 | |a inverse difference | ||
653 | |a virtual point | ||
653 | |a polynomial chaos | ||
653 | |a Szegő polynomials | ||
653 | |a directional statistics | ||
653 | |a Rogers-Szegő | ||
653 | |a state estimation | ||
653 | |a clustering | ||
776 | |z 3-03943-591-4 | ||
776 | |z 3-03943-592-2 | ||
700 | 1 | |a Efendiev, Yalchin |4 edt | |
700 | 1 | |a Hanin, Boris |4 edt | |
700 | 1 | |a Mortari, Daniele |4 oth | |
700 | 1 | |a Efendiev, Yalchin |4 oth | |
700 | 1 | |a Hanin, Boris |4 oth | |
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