Temat: gradient estimates - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Singular quasilinear convective systems involving variable exponents
Autorzy:: Moussaoui, Abdelkrim
Nabab, Dany
Vélin, Jean
Powiązania:: https://bibliotekanauki.pl/articles/29519640.pdf
Data publikacji:: 2024
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: p(x)-Laplacian
variable exponents
fixed point
singular system
gradient estimates
regularity
Opis:: The paper deals with the existence of solutions for quasilinear elliptic systems involving singular and convection terms with variable exponents. The approach combines the sub-supersolutions method and Schauder’s fixed point theorem.
Źródło:: Opuscula Mathematica; 2024, 44, 1; 105-134
1232-9274
2300-6919
Pojawia się w:: Opuscula Mathematica
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: New estimate for the curvature of an order-convex set and related questions
Autorzy:: Ramazanov, Ali B.
Powiązania:: https://bibliotekanauki.pl/articles/2050043.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: gradient
estimates
curvature
convexity
algorithm
Opis:: It is well known that in discrete optimization problems, gradient (local) algorithms do not always guarantee an optimal solution. Therefore, the problem arises of finding the accuracy of the gradient algorithm. This is a fairly well-known problem and numerous publications have been devoted to it. In establishing accuracy, various approaches are used. One of these approaches is to obtain guaranteed estimates of the accuracy of the gradient algorithm in terms of the curvature of the admissible domain. With this approach, it is required to find the curvatures of the admissible region. Since finding the exact value of curvature is a difficult problem to solve, curvature estimates in terms of more or less simply calculated parameters of the problem are relevant. A new improved bound for the curvature of an order-convex set is found and is presented in this paper in terms of the steepness and parameters of strict convexity of the function.
Źródło:: Control and Cybernetics; 2020, 49, 2; 233-240
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

Artykuł

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