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Boundary value problems in ODEs arise in modelling many physical situations from microscale to mega scale. Such two-point boundary value problems (BVPs) are complex and often possess no analytical closed form solutions. So, one has to rely…

Fluid Dynamics · Physics 2025-03-04 Jitender Singh

In this paper, a class of high-order methods to numerically solve Functional Differential Equations with Piecewise Continuous Arguments (FDEPCAs) is discussed. The framework stems from the expansion of the vector field associated with the…

Numerical Analysis · Mathematics 2024-03-14 Gianmarco Gurioli , Weijie Wang , Xiaoqiang Yan

In this work we propose a novel approach to investigate boundary value problems (BVPs) for fully third order differential equations. It is based on the reduction of BVPs to operator equations for the nonlinear terms but not for the…

Numerical Analysis · Mathematics 2018-06-04 Dang Quang A , Dang Quang Long

In this paper, we present a novel Fredholm Integral Equation Neural Operator (FIE-NO) method, an integration of Random Fourier Features and Fredholm Integral Equations (FIE) into the deep learning framework, tailored for solving data-driven…

Machine Learning · Computer Science 2024-08-23 Haoyang Jiang , Yongzhi Qu

The efficient numerical solution of fractional differential equations has been recently tackled through the definition of Fractional HBVMs (FHBVMs), a class of Runge-Kutta type methods. Corresponding Matlab (c) codes have been also made…

Numerical Analysis · Mathematics 2026-05-12 Luigi Brugnano , Gianmarco Gurioli , Felice Iavernaro , Mikk Vikerpuur

In this paper, we consider a boundary value problem (BVP) for a fourth order nonlinear functional integro-differential equation. We establish the existence and uniqueness of solution and construct a numerical method for solving it. We prove…

Numerical Analysis · Mathematics 2021-11-29 Dang Quang A , Pham Huy Dien , Dang Quang Long

In this work we present a method, based on the use of Bernstein polynomials, for the numerical resolution of some boundary values problems. The computations have not need of particular approximations of derivatives, such as finite…

Numerical Analysis · Mathematics 2025-10-20 Gianluca Argentini

We develop methods for the solution of inhomogeneous Robin type boundary value problems (BVPs) that arise for certain linear parabolic Partial Differential Equations (PDEs) on a half line, as well as a second order generalisation. We are…

Analysis of PDEs · Mathematics 2023-11-22 Mark Craddock , Martino Grasselli , Andrea Mazzoran

In this paper we consider the numerical solution of fractional terminal value problems (FDE-TVPs). In particular, the proposed procedure uses a Newton-type iteration which is particularly efficient when coupled with a recently-introduced…

Numerical Analysis · Mathematics 2024-11-05 Luigi Brugnano , Gianmarco Gurioli , Felice Iavernaro

A new technique is presented to solve a class of linear boundary value problems (BVP). Technique is primarily based on an operational matrix developed from a set of modified Bernoulli polynomials. The new set of polynomials is an…

Computational Engineering, Finance, and Science · Computer Science 2020-08-14 Udaya Pratap Singh

Multi-frequency, highly-oscillatory Hamiltonian problems derive from the mathematical modelling of many real life applications. We here propose a variant of Hamiltonian Boundary Value Methods (HBVMs), which is able to efficiently deal with…

Numerical Analysis · Mathematics 2018-07-17 L. Brugnano , J. I. Montijano , L. Rández

This paper presents a novel shooting method for solving two-point boundary value problems for second order ordinary differential equations. The method works as follows: first, a guess for the initial condition is made and an integration of…

Numerical Analysis · Mathematics 2017-02-08 Stefan M. Filipov , Ivan D. Gospodinov , Istvan Farago

In this paper we report a few numerical tests by using a slight extension of the Matlab code fhbvm in [8], implementing Fractional HBVMs, a recently introduced class of numerical methods for solving Initial Value Problems of Fractional…

Numerical Analysis · Mathematics 2025-03-18 L. Brugnano , G. Gurioli , F. Iavernaro

A Neural Network (NN) based numerical method is formulated and implemented for solving Boundary Value Problems (BVPs) and numerical results are presented to validate this method by solving Laplace equation with Dirichlet boundary condition…

Machine Learning · Computer Science 2019-09-25 Sethu Hareesh Kolluru

In this paper, we propose a review of the free boundary formulation for BVPs defined on semi-infinite intervals. The main idea and theorem are illustrated, for the reader convenience, by using a class of second-order BVPs. Moreover, we are…

Numerical Analysis · Mathematics 2020-11-17 Riccardo Fazio

In this paper we describe the efficient numerical implementation of Fractional HBVMs, a class of methods recently introduced for solving systems of fractional differential equations. The reported arguments are implemented in the Matlab code…

Numerical Analysis · Mathematics 2024-07-17 Luigi Brugnano , Gianmarco Gurioli , Felice Iavernaro

In this paper, we propose a novel numerical scheme for solving time-fractional reaction-diffusion problems with Robin boundary conditions, where the time derivative is in the Caputo sense of order $\alpha\in(0,1)$. The existence and…

Numerical Analysis · Mathematics 2025-09-23 Qian Luo , Aiguo Xiao , Xiaoqiang Yan , Jingmin Xia

This article presents an alternative approach to finite elements for modeling and analyzing 3D static mooring lines using string theory and the shooting method (SM) to solve two-point boundary value problems (TPBVPs) for 3D nonlinear static…

Classical Physics · Physics 2025-03-04 Florian Surmont

Recently, the class of Runge-Kutta type methods named Fractional HBVMs (FHBVMs) has been introduced for the numerical solution of initial value problems of fractional differential equations, and a corresponding Matlab software has been…

Numerical Analysis · Mathematics 2025-07-29 Luigi Brugnano , Gianmarco Gurioli , Felice Iavernaro , Mikk Vikerpuur

We propose a novel method for fast and accurate training of physics-informed neural networks (PINNs) to find solutions to boundary value problems (BVPs) and initial boundary value problems (IBVPs). By combining the methods of training deep…

Machine Learning · Computer Science 2024-06-11 Abhiram Anand Thiruthummal , Sergiy Shelyag , Eun-jin Kim
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