Results 51 to 60 of about 330 (180)
An efficient technique is proposed to solve the one-dimensional Burgers’ equation based on multiquadric radial basis function (MQ-RBF) for space approximation and a Lie-Group scheme for time integration.
Muaz Seydaoğlu
doaj +1 more source
Nonlinear partial differential equations, such as the two‐dimensional Burgers–Fisher equation, arise in many applications in biology, engineering, and physics. Owing to the strong nonlinearity of this equation, obtaining analytical solutions is generally difficult, motivating the development of efficient numerical methods.
Sherwan Salah Ahmed +3 more
wiley +1 more source
This paper introduces a variety of approaches for solving 2D and 3D hyperbolic double interface problems. The methods are based on the Haar wavelet method, multiquadric radial basis function method, and integrated multiquadric radial basis function ...
Muhammad Faheem +4 more
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Abel–Goncharov Type Multiquadric Quasi-Interpolation Operators with Higher Approximation Order
A kind of Abel–Goncharov type operators is surveyed. The presented method is studied by combining the known multiquadric quasi-interpolant with univariate Abel–Goncharov interpolation polynomials.
Ruifeng Wu
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Applying multiquadric quasi-interpolation for boundary detection
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Qinjiao Gao, Zongmin Wu, Shenggang Zhang
openaire +3 more sources
RBF‐Based Numerical Solution for Nonlinear Volterra Integral Equation Systems of the Second Kind
This paper presents a numerical method for solving systems of nonlinear Volterra integral equations of the second kind using compactly supported radial basis functions (RBFs). Such equations often appear in population models, epidemic dynamics, viscoelastic processes, and nonlinear transport, where the unknown function enters the kernel in a nonlinear ...
M. Yasin +4 more
wiley +1 more source
Radial Basis Function Collocation With L‐BFGS Optimization for Higher Order Initial Value Problems
This paper describes a radial basis function collocation method that uses limited‐memory Broyden–Fletcher–Goldfarb–Shanno optimization to solve one‐dimensional ordinary differential initial value problems. Numerical tests include first‐order problems and manufactured fourth‐, sixth‐, and eighth‐order problems.
Nolf Shaker Al-Shimari +1 more
wiley +1 more source
Abstract Electrical Resistivity Tomography (ERT) is widely used for subsurface imaging. Despite recent advancements in machine learning based ERT inversion using conventional deep learning models such as CNN and UNet, accurately delineating resistivity profiles of natural and artificial subsurface anomalies remains challenging.
Huichao Yin +6 more
wiley +1 more source
In this study, we will solve the Sharma-Tasso-Olver equation by utilizing the radial basis function-pseudo spectral approach. Pseudo spectral techniques are renowned for their exceptional precision but have constraints regarding their ability to handle ...
Luqman Zebari
doaj +1 more source
ABSTRACT Recent advances in sequencing technologies have allowed the collection of massive genome‐wide information that substantially enhances the diagnosis and prognosis of head and neck cancer. Identifying predictive markers for survival time is crucial for devising prognostic systems and learning the underlying molecular drivers of the cancer course.
Atika Farzana Urmi +2 more
wiley +1 more source

