Zobrazeno 1 - 10
of 1 837
pro vyhledávání: '"coincidence degree"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 28895-28905 (2024)
This paper aims to study the existence of solutions for Hadamard fractional nonlocal boundary value problems with mean curvature operator at resonance. Based on the coincidence degree theory, some new results are established. Moreover, an example is
Externí odkaz:
https://doaj.org/article/f2b8223ce44341c6badf6f71a0c4fb6a
Autor:
Sun Bingzhi
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 121-140 (2024)
In this article, a functional boundary value problem involving mixed fractional derivatives with p(x)p\left(x)-Laplacian operator is investigated. Based on the fixed point theorems and Mawhin’s coincidence theory’s extension theory, some existenc
Externí odkaz:
https://doaj.org/article/a57ced6cf17f4b76a4e0a2c5b80c05b2
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 1264-1279 (2024)
The main goal of this article is to study the existence and uniqueness of periodic solutions for the implicit problem with nonlinear fractional differential equation involving the Caputo tempered fractional derivative. The proofs are based upon the c
Externí odkaz:
https://doaj.org/article/138684ffdaf44aaa8357bc16e47bf469
Publikováno v:
Jixie chuandong, Vol 48, Pp 1-7 (2024)
The coincidence degree is an important parameter to reflect the number of meshing teeth of gear pairs at the same time. The appropriate coincidence degree of reasonable selection can improve transmission bearing capacity and ensure transmission stabi
Externí odkaz:
https://doaj.org/article/d4890033c13745dcaf1c578873d6f3e0
Autor:
Yingying Wang, Zhinan Xia
Publikováno v:
Boundary Value Problems, Vol 2023, Iss 1, Pp 1-19 (2023)
Abstract This paper investigates a delayed predator-prey model with discontinuous harvesting and Beddington–DeAngelis functional response. Using the theory of differential inclusion theory, the existence of positive solutions in the sense of Filipp
Externí odkaz:
https://doaj.org/article/c7c0e9f4f33545348aba7f68a81c75af
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3489-3512 (2023)
Spectral clustering is a well-regarded subspace clustering algorithm that exhibits outstanding performance in hyperspectral image classification through eigenvalue decomposition of the Laplacian matrix. However, its classification accuracy is severel
Externí odkaz:
https://doaj.org/article/ae210855a7864a26bda0bd5c678711e3