نتایج جستجو برای: hybrid differential equation

تعداد نتایج: 665740  

Journal: :journal of linear and topological algebra (jlta) 0
sh safari sabet department of mathematics, islamic azad university, central tehran branch, tehran, iran m farmani department of mathematics, islamic azad university, central tehran branch, tehran, iran o khormali mathematics and informatics research group, acecr, tarbiat modares university, p. o. box: 14115-343, tehran, iran a mahmiani department of mathematics, payame noor university, 19395-4797, tehran, iran z bagheri islamic azad university branch of azadshaher, azadshaher, iran

the edge detour index polynomials were recently introduced for computing theedge detour indices. in this paper we nd relations among edge detour polynomials for the2-dimensional graph of tuc4c8(s) in a euclidean plane and tuc4c8(s) nanotorus.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه مازندران - دانشکده علوم پایه 1386

چکیده ندارد.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه گیلان - دانشکده علوم پایه 1387

چکیده ندارد.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه مازندران - دانشکده علوم پایه 1387

چکیده ندارد.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه گیلان - دانشکده علوم پایه 1386

چکیده ندارد.

In this article, we develop the distributed order fractional hybrid differential equations (DOFHDEs) with linear perturbations involving the fractional Riemann-Liouville derivative of order $0 < q < 1$ with respect to a nonnegative density function. Furthermore, an existence theorem for the fractional hybrid differential equations of distributed order is proved under the mixed $varphi$-Lipschit...

Journal: :Computat. and Visualiz. in Science 2011
Ynte Vanderhoydonc Wim Vanroose

Mathematical models based on kinetic equations are ubiquitous in the modeling of granular media, population dynamics of biological colonies, chemical reactions and many other scientific problems. These individual-based models are computationally very expensive because the evolution takes place in the phase space. Hybrid simulations can bring down this computational cost by replacing locally in ...

Journal: :International Journal of Modern Physics C 2022

The recently developed physics-informed machine learning has made great progress for solving nonlinear partial differential equations (PDEs), however, it may fail to provide reasonable approximations the PDEs with discontinuous solutions. In this paper, we focus on discrete time neural network (PINN), and propose a hybrid PINN (hPINN) scheme PDEs. approach, local solution structures are classif...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید