Results 21 to 30 of about 166,982,905 (289)

The Method of Fundamental Solutions for Three-Dimensional Nonlinear Free Surface Flows Using the Iterative Scheme

open access: yesApplied Sciences, 2019
In this article, we present a meshless method based on the method of fundamental solutions (MFS) capable of solving free surface flow in three dimensions.
Cheng-Yu Ku, Jing-En Xiao, Chih-Yu Liu
doaj   +1 more source

Numerical Simulations of Tank Sloshing Problems Based on Moving Pseudo-Boundary Method of Fundamental Solution

open access: yesJournal of Marine Science and Engineering, 2023
The moving pseudo-boundary method of fundamental solutions (MFS) was employed to solve the Laplace equation, which describes the potential flow in a two-dimensional (2D) numerical wave tank.
Chengyan Wang   +3 more
doaj   +1 more source

On invariance of schemes in the method of fundamental solutions

open access: yesApplied Mathematics Letters, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Koya Sakakibara, Shigetoshi Yazaki
openaire   +1 more source

Modelling and extraction of fundamental frequency in speech signals [PDF]

open access: yes, 2014
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.One of the most important parameters of speech is the fundamental frequency of vibration of voiced sounds.
Pawi, Alipah
core   +7 more sources

NUMERICAL SOLUTION TO BOUNDARY PROBLEMS FOR POISSON EQUATION BY POINTSOURCE METHOD

open access: yesAdvanced Engineering Research, 2014
The aim o f t his p a p e r is t h e e fficie n c y im p r o v e m e n t o f o n e o f t h e m o s t a d v a n c e d t e c h niq u e s o f s olvin g t h e ellip tic b o u n d a r y v alu e p r o ble m s — t h e field p oin t- s o u r c e m e t h o d d e ...
Sergey Yuryevich Knyazev   +2 more
doaj   +1 more source

Learning Data for Neural-Network-Based Numerical Solution of PDEs: Application to Dirichlet-to-Neumann Problems

open access: yesAlgorithms, 2023
We propose neural-network-based algorithms for the numerical solution of boundary-value problems for the Laplace equation. Such a numerical solution is inherently mesh-free, and in the approximation process, stochastic algorithms are employed.
Ferenc Izsák, Taki Eddine Djebbar
doaj   +1 more source

Modeling of Sedimentation of Particles near Corrugated Surfaces by the Meshless Method of Fundamental Solutions

open access: yesMathematical and Computational Applications
The velocity and trajectory of particles moving along the corrugated (rough) surface under the action of gravity is obtained by a modified Method of Fundamental Solutions (MFS).
Alex Povitsky
doaj   +1 more source

Lightning-fast Method of Fundamental Solutions

open access: yesACM Transactions on Graphics
The method of fundamental solutions (MFS) and its associated boundary element method (BEM) have gained popularity in computer graphics due to the reduced dimensionality they offer: for three-dimensional linear problems, they only require variables on the domain boundary to solve and evaluate the solution throughout space, making them a valuable tool in
Jiong Chen 0001   +2 more
openaire   +3 more sources

Solving the Eigenfrequencies Problem of Waveguides by Localized Method of Fundamental Solutions with External Source

open access: yesMathematics, 2022
The localized method of fundamental solutions (LMFS) is a domain-type, meshless numerical method. Compared with numerical methods that have a high grid dependence, it does not require grid generation and numerical integration, so it can effectively ...
Ke Sun   +3 more
doaj   +1 more source

Localized MFS for three‐dimensional acoustic inverse problems on complicated domains

open access: yesInternational Journal of Mechanical System Dynamics, 2022
This paper proposes a semi‐analytical and local meshless collocation method, the localized method of fundamental solutions (LMFS), to address three‐dimensional (3D) acoustic inverse problems in complex domains.
Zengtao Chen   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy