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Related papers: On Solving Some Classes of Second Order ODEs

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A subroutine for very-high-precision numerical solution of a class of ordinary differential equations is provided. For given evaluation point and equation parameters the memory requirement scales linearly with precision $P$, and the number…

Mathematical Physics · Physics 2015-06-05 Amna Noreen , Kåre Olaussen

This article introduces a pedagogical method for {\it solving combinatorial problems} that frequently involve structures that are unfamiliar or less familiar. Indeed, an indirect method has been proposed in order to evade any possible…

History and Overview · Mathematics 2023-02-21 Margarita Shevtsova , Alexei Kanel-Belov , Mehdi Golafshan

Developing algorithms for solving high-dimensional partial differential equations (PDEs) has been an exceedingly difficult task for a long time, due to the notoriously difficult problem known as the "curse of dimensionality". This paper…

Numerical Analysis · Mathematics 2020-07-17 Jiequn Han , Arnulf Jentzen , Weinan E

This work presents a brief discussion and a plan towards the analytical solving of Partial Differential Equations (PDEs) using symbolic computing, as well as an implementation of part of this plan as the PDEtools software-package of…

General Relativity and Quantum Cosmology · Physics 2016-03-23 E. S. Cheb-Terrab , K. von Bulow

This note reports on the recent advancements in the search for explicit representation, in classical special functions, of the solutions of the fourth-order ordinary differential equations named Bessel-type, Jacobi-type, Laguerre-type,…

Classical Analysis and ODEs · Mathematics 2007-05-23 W. N. Everitt , D. J. Smith , M. van Hoeij

In this paper, we have considered second order non-homogeneous linear differential equations having entire coefficients. We have established conditions ensuring non-existence of finite order solution of such type of differential equations.

Complex Variables · Mathematics 2021-03-24 Dinesh Kumar , Sanjay Kumar , Manisha Saini

The application of the approximation-operational approach to solving linear differential equations of fractional order with variable coefficients is considered. It is shown that the method can also be applied to solving differential…

Dynamical Systems · Mathematics 2020-06-04 Oleksii V. Vasyliev

The quest for analytical solutions to differential equations has traditionally been constrained by the need for extensive mathematical expertise. Machine learning methods like genetic algorithms have shown promise in this domain, but are…

Machine Learning · Computer Science 2025-07-22 Shu Wei , Yanjie Li , Lina Yu , Weijun Li , Min Wu , Linjun Sun , Jingyi Liu , Hong Qin , Yusong Deng , Jufeng Han , Yan Pang

We consider existence of periodic boundary value problems of nonlinear second order ordinary differential equations. Under certain half Lipschitzian type conditions several existence results are obtained. As applications positive periodic…

Classical Analysis and ODEs · Mathematics 2012-08-28 Yong Zhang

We propose a physical analogy between finding the solution of an ordinary differential equation (ODE) and a $N$ particle problem in statistical mechanics. It uses the fact that the solution of an ODE is equivalent to obtain the minimum of a…

Statistical Mechanics · Physics 2009-11-13 M. L. Alemany , M. Febbo , S. A. Vera

We consider semiclassical orthogonal polynomials on the unit circle associated with a weight function that satisfy a Pearson-type differential equation involving two polynomials of degree at most three. Structure relations and difference…

Classical Analysis and ODEs · Mathematics 2025-06-05 Cleonice F. Bracciali , Karina S. Rampazzi , Luana L. Silva Ribeiro

A new method of solving third-order ordinary complex differential equations (OCDEs) by generalizing Prelle-Singer. The idea which is a procedure for finding the solution for second-order differential equations in the real domain. We have…

Mathematical Physics · Physics 2018-10-15 Ali Joohy , Mohammed S. Mechee , Ghassan A. Al-Juaifri

The goal of this work is to characterize all second order difference operators of several variables that have discrete orthogonal polynomials as eigenfunctions. Under some mild assumptions, we give a complete solution of the problem.

Classical Analysis and ODEs · Mathematics 2012-04-25 Plamen Iliev , Yuan Xu

In this article we study a system of eikonal equations. Our aim is to isolate the solutions which minimise the discontinuity set of the gradient.

Analysis of PDEs · Mathematics 2010-05-20 Thierry Champion , Gisella Croce

In in this paper we show how using D.A. it is found a simple change of variables (c.v.) that brings us to obtain differential equations simpler than the original one. In a pedagogical way (at least we try to do that) and in order to make…

Physics Education · Physics 2007-05-23 José Antonio Belinchón

The aim of the present paper is to propose an algorithm for a new ODE--solver which should improve the abilities of current solvers to handle second order differential equations. The paper provides also a theoretical result revealing the…

Symbolic Computation · Computer Science 2007-08-01 R. Dridi , M. Petitot

We design and analyse a new numerical method to solve ODE system based on the structural method. We compute approximations of solutions together with its derivatives up to order $K$ by solving an entire block corresponding to $R$ time…

Numerical Analysis · Mathematics 2025-08-05 S. Clain , M. T. Malheiro , G. J. Machado , R. Costa

Second order ordinary differential equations of the form $y'' = P(x,y) + 4 Q(x,y) y' + 6 R(x,y) y'^2 + 4 S(x,y) y'^3 + L(x,y) y'^4$ are considered and their point-expansions are constructed. Geometrical structures connected with these…

solv-int · Physics 2016-09-08 O. N. Mikhailov , R. A. Sharipov

The Lagrangian formalism for variational problem for second-order delay ordinary differential equations (DODEs) is developed. The Noether-type operator identities and theorems for DODEs of second order are presented. Algebraic construction…

Mathematical Physics · Physics 2023-08-16 Vladimir A. Dorodnitsyn , Roman V. Kozlov , Sergey V. Meleshko

In this paper, numerical methods using Physics-Informed Neural Networks (PINNs) are presented with the aim to solve higher-order ordinary differential equations (ODEs). Indeed, this deep-learning technique is successfully applied for…

Computational Physics · Physics 2023-07-17 Hubert Baty