Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Todor D. Todorov"'
Autor:
Miroslav S. Petrov, Todor D. Todorov
Publikováno v:
Applied Numerical Mathematics. 183:221-235
Autor:
Todor D. Todorov
Publikováno v:
Nonlinear Theory of Generalized Functions ISBN: 9780203745458
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::836e65354b225efc79bc876b8fac6144
https://doi.org/10.1201/9780203745458-34
https://doi.org/10.1201/9780203745458-34
Publikováno v:
Neural Computing and Applications. 32:14153-14171
This paper proposes a radial basis function (RBF) network-based method for solving a nonlinear second-order elliptic equation with Dirichlet boundary conditions. The nonlocal term involved in the differential equation needs a completely different app
Autor:
Todor D. Todorov
Publikováno v:
Journal of Logic and Analysis. 13
We discuss linear algebra of infinite-dimensional vector spaces in terms of algebraic (Hamel) bases. As an application we prove the surjectivity of a large class of linear partial differential operators with smooth ($\mathcal C^\infty$-coefficients)
Autor:
Todor D. Todorov, Miroslav S. Petrov
Publikováno v:
Numerical Algorithms. 79:633-656
The present paper is devoted to 4D polytope subdivisions. A new dissipation algorithm for triangulating 4D simply connected domains has been developed. The new algorithm has been successfully applied for subdividing the tesseract and the 4D cube corn
Autor:
G. S. Tsanev, Todor D. Todorov
Publikováno v:
Computational Mathematics and Modeling. 30:427-438
This paper is devoted to an analysis of the rate of deep belief learning by multilayer neural networks. In designing neural networks, many authors have applied the mean field approximation (MFA) to establish that the state of neurons in hidden layers
Autor:
Todor D. Todorov, Miroslav S. Petrov
Publikováno v:
Applied Numerical Mathematics. 137:169-183
The paper deals with refinement techniques suitable for application of finite element multigrid methods with cubic trial functions. The 27-refinement strategy by Edelsbrunner and Grayson has not been studied from computational point of view up to now
Autor:
Todor D. Todorov, Miroslav S. Petrov
Publikováno v:
Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics. 11:41-46
Freudental's algorithm obtained way back in early forties have been traditionally used for simplicial triangulating of the hypercube. The main advantage of this algorithm is that it only generates one congruence class. Unfortunately, Freudental's alg
Autor:
Miroslav S. Petrov, Todor D. Todorov
Publikováno v:
Proceedings of the Twentieth International Conference on Geometry, Integrability and Quantization, Ivaïlo M. Mladenov, Vladimir Pulov and Akira Yoshioka, eds. (Sofia: Avangard Prima, 2019)
The paper is devoted to various refinement strategies in the 4D Euclidean space. The red refinement strategy (RRS) have been widely used by researchers applying multigrid methods. This refinement method has a lot of advantages but it is not superior
Publikováno v:
INTED2021 Proceedings.