Computational Mathematics, Algorithms, and Data Processing

• अन्य लेखक: Mortari, Daniele (संपादक), Efendiev, Yalchin (संपादक), Hanin, Boris (संपादक)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• विषय: Research & information: general; Mathematics & science; interpolation; constraints; embedded constraints; generalized multiscale finite element method; multiscale model reduction; deep learning; Deep Neural Nets; ReLU Networks; Approximation Theory; radial basis functions; native spaces; truncated function; approximation; surface modeling; second order initial value problems; linear multistep methods; Obrechkoff schemes; trigonometrically fitted; Darcy-Forchheimer model; flow in porous media; nonlinear equation; heterogeneous media; finite element method; multiscale method; mixed generalized multiscale finite element method; multiscale basis functions; two-dimensional domain; Thiele-like rational interpolation continued fractions with parameters; unattainable point; inverse difference; virtual point; polynomial chaos; Szegő polynomials; directional statistics; Rogers-Szegő; state estimation; clustering
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

सारांश

"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.

भौतिक वर्णन

1 electronic resource (172 p.)

आईएसबीएन

books978-3-03943-592-0
9783039435913
9783039435920

अभिगमन

Open Access