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Inferring the parameters of ordinary differential equations (ODEs) from noisy observations is an important problem in many scientific fields. Currently, most parameter estimation methods that bypass numerical integration tend to rely on…

Methodology · Statistics 2023-10-25 Mingwei Xu , Samuel W. K. Wong , Peijun Sang

We propose and implement an algorithm for solving an overdetermined system of partial differential equations in one unknown. Our approach relies on Bour-Mayer method to determine compatibility conditions via Jacobi-Mayer brackets. We solve…

Symbolic Computation · Computer Science 2017-03-07 Célestin Wafo Soh

We present a subdivision method to solve systems of congruence equations. This method is inspired in a subdivision method, based on Bernstein forms, to solve systems of polynomial inequalities in several variables and arbitrary degrees. The…

Optimization and Control · Mathematics 2017-08-08 César Massri , Manuel Dubinsky

We present a method for solving a class of initial valued, coupled, non-linear differential equations with `moving singularities' subject to some subsidiary conditions. We show that this type of singularities can be adequately treated by…

Computational Physics · Physics 2009-11-07 S. S. Gousheh , H. R. Sepangi , K. Ghafoori-Tabrizi

An update of the ODEtools Maple package, for the analytical solving of 1st and 2nd order ODEs using Lie group symmetry methods, is presented. The set of routines includes an ODE-solver and user-level commands realizing most of the relevant…

General Relativity and Quantum Cosmology · Physics 2009-10-30 E. S. Cheb-Terrab , L. G. S. Duarte , L. A. C. P. da Mota

In this work, we propose a parallel-in-time solver for linear and nonlinear ordinary differential equations. The approach is based on an efficient multilevel solver of the Schur complement related to a multilevel time partition. For linear…

Numerical Analysis · Mathematics 2017-09-20 Santiago Badia , Marc Olm

A method for approximating sixth-order ordinary differential equations is proposed, which utilizes a deep learning feedforward artificial neural network, referred to as a neural solver. The efficacy of this unsupervised machine learning…

Numerical Analysis · Mathematics 2025-09-16 Janavi Bhalala , B. Veena S. N. Rao

In this study, a recursive solution technique in conjunction with generalized integrating factors is presented and applied to address first and second order linear differential equations. This approach demonstrates practical utility in…

Mathematical Physics · Physics 2025-03-03 Everardo Rivera-Oliva

We consider apictorial edge-matching puzzles, in which the goal is to arrange a collection of puzzle pieces with colored edges so that the colors match along the edges of adjacent pieces. We devise an algebraic representation for this…

Computer Vision and Pattern Recognition · Computer Science 2015-07-30 Shahar Z. Kovalsky , Daniel Glasner , Ronen Basri

Power Series Solution method has been used traditionally for to solve Linear Differential Equations, in Ordinary and Partial form. But this method has been limited to this kind of problems. We present the solution of problems of Non Linear…

Symbolic Computation · Computer Science 2015-03-25 E. Lopez-Sandoval , A. Mello , J. J. Godina Nava

Solving systems of non-autonomous ordinary differential equations (ODE) is a crucial and often challenging problem. Recently a new approach was introduced based on a generalization of the Volterra composition. In this work, we explain the…

Numerical Analysis · Mathematics 2022-10-14 Stefano Pozza , Niel Van Buggenhout

In the paper we offer a functional-discrete method for solving the Cauchy problem for the first order ordinary differential equations (ODEs). This method (FD-method) is in some sense similar to the Adomian Decomposition Method. But it is…

Numerical Analysis · Mathematics 2010-09-02 Volodymyr Makarov , Denis Dragunov

Convergence results are stated for the variational iteration method applied to solve an initial value problem for a system of ordinary differential equations.

Numerical Analysis · Mathematics 2015-09-08 Ernest Scheiber

This work introduces a methodology to solve ordinary differential equations using the Schur decomposition of the linear representation of the differential equation. This is done by first transforming the system into an upper triangular…

Dynamical Systems · Mathematics 2021-11-16 David Arnas

We deal with the numerical solution of linear partial differential equations (PDEs) with focus on the goal-oriented error estimates including algebraic errors arising by an inaccurate solution of the corresponding algebraic systems. The…

Numerical Analysis · Mathematics 2020-01-08 Vít Dolejší , Petr Tichý

In this paper, we establish the second order estimates of solutions to the first initial-boundary value problem for general Hessian type fully nonlinear parabolic equations on Riemannian manifolds. The techniques used in this article can…

Analysis of PDEs · Mathematics 2015-02-14 Heming Jiao

This paper deals with a method for solving Poisson Equation (PE) based on genetic algorithms and grammatical evolution. The method forms generations of solutions expressed in an analytical form. Several examples of PE are tested and in most…

Neural and Evolutionary Computing · Computer Science 2014-01-03 Khalid Jebari , Mohammed Madiafi , Abdelaziz El Moujahid

By making use of a recently developed method to solve linear differential equations of arbitrary order, we find a wide class of polynomial solutions to the Heun equation. We construct the series solution to the Heun equation before…

Mathematical Physics · Physics 2009-11-10 N. Gurappa , Prasanta K. Panigrahi

The paper develops the method for construction of the families of particular solutions to the nonlinear Partial Differential Equations (PDE) without relation to the complete integrability. Method is based on the specific link between…

Exactly Solvable and Integrable Systems · Physics 2007-05-23 A. I. Zenchuk

In the paper, a Newton-type method for the solution of generalized equations (GEs) is derived, where the linearization concerns both the single-valued and the multi-valued part of the considered GE. The method is based on the new notion of…

Optimization and Control · Mathematics 2019-04-22 H. Gfrerer , J. V. Outrata