Results 31 to 40 of about 11,949,866 (380)

Chaotic finite difference operators

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science, 2023
In this article, we analyze the chaotic behavior of finite difference operators associated with certain differential equations. Our examples range from numerical schemes for a birth-and-death model with proliferation to a class of second-order partial differential equations that includes the hyperbolic heat transfer equation, the telegraph equation ...
Marina Murillo-Arcila   +2 more
openaire   +5 more sources

An improved method for inhomogeneous space grid in the simulation of unsaturated flow

open access: yesShuiwen dizhi gongcheng dizhi, 2023
The Richards’ equation is widely used in the simulation of unsaturated flow and related fields. In the numerical solution process, the finite difference method can be used to carry out numerical discretization and iterative calculation. However, in order
Shuairun ZHU   +4 more
doaj   +1 more source

Modifying Explicit Finite Difference Method by Using Radial Basis Function Neural Network [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2013
In this research, we use artificial neural networks, specifically radial basis function neural network (RBFNN) to improve the performance and work of the explicit finite differences method (EFDM), where it was compared, the modified method with an ...
Omar Kasim
doaj   +1 more source

Trapezoid-Grid Finite-Difference Time-Domain Method for 3D Seismic Wavefield Modeling Using CPML Absorbing Boundary Condition

open access: yesFrontiers in Earth Science, 2022
The large computational memory requirement is an important issue in 3D large-scale wave modeling, especially for GPU calculation. Based on the observation that wave propagation velocity tends to gradually increase with depth, we propose a 3D trapezoid ...
Bangyu Wu   +5 more
doaj   +1 more source

Finite Difference Schemes for MCM and AMSS

open access: yesImage Processing On Line, 2011
This article refers to algorithms based on finite difference schemes for computing mean and affine curvature evolutions of digital images, introduced by Alvarez and Morel [L. Alvarez, J.M. Morel, “Formalization and computational aspects of image analysis”
Marco Mondelli, Adina Ciomaga
doaj   +1 more source

A New Smoothness Indicator of Adaptive Order Weighted Essentially Non-Oscillatory Scheme for Hyperbolic Conservation Laws

open access: yesMathematics, 2020
Adaptive order weighted essentially non-oscillatory scheme (WENO-AO(5,3)) has increased the computational cost and complexity of the classic fifth-order WENO scheme by introducing a complicated smoothness indicator for fifth-order linear reconstruction ...
Omer Musa, Guoping Huang, Mingsheng Wang
doaj   +1 more source

Modeling and Simulation of Flue Gas Desulfurization Using Slurry of Fine Activated Carbon Particles [PDF]

open access: yesEngineering and Technology Journal, 2010
The main objective of the present work is to investigate thefeasibility of using a slurry of fine activated carbon particles ...
Asmaa I. Eliass, Neran K. Ibrahim
doaj   +1 more source

Elastic Reverse-Time Migration with Complex Topography

open access: yesEnergies, 2021
Migration is an important step in seismic data processing for oil and gas exploration. The accuracy of migration directly affects the accuracy of subsequent oil and gas reservoir characterization.
Yu Zhong   +3 more
doaj   +1 more source

Catalytic flow with a coupled Finite Difference -- Lattice Boltzmann scheme [PDF]

open access: yes, 2020
Many catalyst devices employ flow through porous structures, which leads to a complex macroscopic mass and heat transport. To unravel the detailed dynamics of the reactive gas flow, we present an all-encompassing model, consisting of thermal lattice ...
Berger, Daniel   +3 more
core   +3 more sources

cuSten — CUDA finite difference and stencil library

open access: yesSoftwareX, 2019
In this paper we present cuSten, a new library of functions to handle the implementation of 2D and batched 1D finite-difference/stencil programs in CUDA. cuSten wraps data handling, kernel calls and streaming into four easy to use functions that speed up
Andrew Gloster, Lennon Ó Náraigh
doaj   +1 more source

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