Results 31 to 40 of about 7,666,446 (331)
Soft covering based rough graphs and corresponding decision making
Open Mathematics, 2019 Soft set theory and rough set theory are two new tools to discuss uncertainty. Graph theory is a nice way to depict certain information. Particularly soft graphs serve the purpose beautifully.
Park Choonkil +5 more
doaj +1 more source
Global universal approximation of functional input maps on weighted spaces [PDF]
Constructive approximation, 2023 We introduce so-called functional input neural networks defined on a possibly infinite dimensional weighted space with values also in a possibly infinite dimensional output space.
Christa Cuchiero +2 more
semanticscholar +1 more source
Full discretisation of semi-linear stochastic wave equations driven by multiplicative noise [PDF]
, 2015 A fully discrete approximation of the semi-linear stochastic wave equation driven by multiplicative noise is presented. A standard linear finite element approximation is used in space and a stochastic trigonometric method for the temporal approximation ...
Anton, Rikard +3 more
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Topological Structures of IVF Approximation Spaces
Fuzzy Information and Engineering, 2016 An approximation space is a key concept in rough set theory, which plays an important role to approximate reasoning about data. An interval-valued fuzzy (IVF, for short) approximation space is an approximation space in the IVF environment. In this paper,
Gang-Qiang Zhang
doaj +1 more source
Dynamical diffraction in sinusoidal potentials: uniform approximations for Mathieu functions [PDF]
, 2000 Eigenvalues and eigenfunctions of Mathieu's equation are found in the short wavelength limit using a uniform approximation (method of comparison with a `known' equation having the same classical turning point structure) applied in Fourier space.
Abramowitz M +23 more
core +2 more sources
Approximation of Rough Soft Set and Its Application to Lattice
Fuzzy Information and Engineering, 2015 The approximation of soft set is presented in modified soft rough (MSR) approximation space in this paper, i.e., approximation of an information system with respect to another information one.
Sankar Kumar Roy, Susanta Bera
doaj +1 more source
A New Single-Valued Neutrosophic Rough Sets and Related Topology
Journal of Mathematics, 2021 (Fuzzy) rough sets are closely related to (fuzzy) topologies. Neutrosophic rough sets and neutrosophic topologies are extensions of (fuzzy) rough sets and (fuzzy) topologies, respectively. In this paper, a new type of neutrosophic rough sets is presented,
Qiu Jin +3 more
doaj +1 more source
Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
Mathematics, 2023 In this paper, we consider stochastic mixed vector variational inequality problems. Firstly, we present an equivalent form for the stochastic mixed vector variational inequality problems.
Meiju Luo, Menghan Du, Yue Zhang
doaj +1 more source
Strongly extreme points and approximation properties [PDF]
, 2017 We show that if $x$ is a strongly extreme point of a bounded closed convex subset of a Banach space and the identity has a geometrically and topologically good enough local approximation at $x$, then $x$ is already a denting point. It turns out that such
Abrahamsen, Trond A. +3 more
core +2 more sources
Best rank k approximation for binary forms [PDF]
, 2017 In the tensor space $\mathrm{Sym}^d {\mathbb R}^2$ of binary forms we study the best rank $k$ approximation problem. The critical points of the best rank $1$ approximation problem are the eigenvectors and it is known that they span a hyperplane. We prove
Ottaviani, Giorgio, Tocino, Alicia
core +3 more sources