Results 21 to 30 of about 12,351 (211)

Higher order energy expansions for some singularly perturbed Neumann problems [PDF]

open access: yes, 2003
We consider the following singularly perturbed semilinear elliptic problem: \epsilon^{2} \Delta u - u + u^p=0 \ \ \mbox{in} \ \Omega, \quad u>0 \ \ \mbox{in} \ \ \Omega \quad \mbox{and} \ \frac{\partial u}{\partial \nu} =0 \ \mbox{on} \ \partial \
Adimurthi   +22 more
core   +2 more sources

An exponentially fitted finite difference scheme for a class of singularly perturbed delay differential equations with large delays

open access: yesAin Shams Engineering Journal, 2017
This paper deals with singularly perturbed boundary value problem for a linear second order delay differential equation. It is known that the classical numerical methods are not satisfactory when applied to solve singularly perturbed problems in delay ...
P. Pramod Chakravarthy   +2 more
doaj   +1 more source

An Intial-Value Technique for Self-Adjoint Singularly Perturbed Two-Point Boundary Value Problems

open access: yesInternational Journal of Applied Mechanics and Engineering, 2020
In this paper, we present an initial value technique for solving self-adjoint singularly perturbed linear boundary value problems. The original problem is reduced to its normal form and the reduced problem is converted to first order initial value ...
P. Padmaja, P. Aparna, R.S.R. Gorla
doaj   +1 more source

Fitted cubic spline in tension difference scheme for two-parameter singularly perturbed delay parabolic partial differential equations

open access: yesPartial Differential Equations in Applied Mathematics, 2023
A numerical study of a two-parameter singularly perturbed time-delay parabolic equation has been initiated. The proposed technique is based on a fitted operator finite difference scheme.
Naol Tufa Negero
doaj   +1 more source

Deep learning-based schemes for singularly perturbed convection-diffusion problems* [PDF]

open access: yesESAIM: Proceedings and Surveys, 2023
Deep learning-based numerical schemes such as Physically Informed Neural Networks (PINNs) have recently emerged as an alternative to classical numerical schemes for solving Partial Differential Equations (PDEs).
Beguinet Adrien   +5 more
doaj   +1 more source

Numerical Treatment of Singularly Perturbed Two-Point Boundary Value Problems by Using Differential Transformation Method

open access: yesDiscrete Dynamics in Nature and Society, 2012
Differential transform method is adopted, for the first time, for solving linear singularly perturbed two-point boundary value problems. Four numerical examples are given to demonstrate the effectiveness of the present method.
Nurettin Doğan   +2 more
doaj   +1 more source

Application of the averaging method to the gyrokinetic plasma [PDF]

open access: yes, 2006
we show that the solution to an oscillatory-singularly perturbed ordinary differential equation may be asymptotically expanded into a sum of oscillating terms.
Frenod, Emmanuel
core   +5 more sources

Asymptotic and Pseudoholomorphic Solutions of Singularly Perturbed Differential and Integral Equations in the Lomov’s Regularization Method

open access: yesAxioms, 2019
We consider a singularly perturbed integral equation with weakly and rapidly varying kernels. The work is a continuation of the studies carried out previously, but these were focused solely on rapidly changing kernels.
Abduhafiz Bobodzhanov   +2 more
doaj   +1 more source

Singularly Perturbed Quadratically Nonlinear Dirichlet Problems [PDF]

open access: yesTransactions of the American Mathematical Society, 1986
The Dirichlet problem for singularly perturbed elliptic equations of the form ε Δ u = A ( x , u ) ∇ u ⋅ ∇ u + B ( x ,
openaire   +2 more sources

Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Singularly Perturbed Systems

open access: yesIEEE Access, 2019
In this paper, the neural network-based adaptive tracking control method is addressed for a class of multi-input affine unknown nonlinear singularly perturbed systems.
Hao Wang, Chunyu Yang, Song Zhu
doaj   +1 more source

Home - About - Disclaimer - Privacy