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Related papers: Taylor Series for Adomian Decomposition Method

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The method of Taylor series expansion is used to develop a numerical solution to the reactor point kinetics equations. It is shown that taking a first order expansion of the neutron density and precursor concentrations at each time step…

Computational Physics · Physics 2013-04-03 David McMahon , Adam Pierson

The differential transformation method (DTM) enables the easy construction of a power-series solution to a nonlinear differential equation. The exponentiation operation has not been specifically addressed in the DTM literature, and…

Classical Analysis and ODEs · Mathematics 2010-07-14 Hal Finkel

In this article, we propose a new numerical approach to high-dimensional partial differential equations (PDEs) arising in the valuation of exotic derivative securities. The proposed method is extended from Reisinger and Wittum (2007) and…

Computational Finance · Quantitative Finance 2013-10-04 Christoph Reisinger , Rasmus Wissmann

The Euclidean algorithm makes possible a simple but powerful generalization of Taylor's theorem. Instead of expanding a function in a series around a single point, one spreads out the spectrum to include any number of points with given…

Numerical Analysis · Mathematics 2007-10-02 Garret Sobczyk

Computing partial differential equation (PDE) operators via nested backpropagation is expensive, yet popular, and severely restricts their utility for scientific machine learning. Recent advances, like the forward Laplacian and randomizing…

Machine Learning · Computer Science 2025-11-25 Felix Dangel , Tim Siebert , Marius Zeinhofer , Andrea Walther

We comment on the new trend in mathematical physics that consists of obtaining Taylor series for fabricated linear and nonlinear unphysical models by means of homotopy perturbation method (HPM), homotopy analysis method (HAM) and Adomian…

Mathematical Physics · Physics 2009-10-02 Francisco M. Fernandez

We give efficient algorithms for finding power-sum decomposition of an input polynomial $P(x)= \sum_{i\leq m} p_i(x)^d$ with component $p_i$s. The case of linear $p_i$s is equivalent to the well-studied tensor decomposition problem while…

Data Structures and Algorithms · Computer Science 2022-08-02 Mitali Bafna , Jun-Ting Hsieh , Pravesh K. Kothari , Jeff Xu

This paper exhibits a very simple formula for a particular solution of a linear ordinary differential equation with constant real coefficients, P(d/dt)x = f, f a function given by a linear combination of polynomials, trigonometrical and…

Classical Analysis and ODEs · Mathematics 2022-02-15 Oswaldo Rio Branco de Oliveira

In this paper we propose a new version of differential transform method (we shall call this method as $\alpha$-parameterized differential transform method), which differs from the traditional differential transform method in calculating…

Classical Analysis and ODEs · Mathematics 2015-07-15 K. Aydemir , O. Sh. Mukhtarov

The Adomian Decomposition Method (ADM) is a very effective approach for solving broad classes of nonlinear partial and ordinary differential equations, with important applications in different fields of applied mathematics, engineering,…

Instrumentation and Methods for Astrophysics · Physics 2021-02-23 Man Kwong Mak , Chun Sing Leung , Tiberiu Harko

We consider some non-linear non-homogeneous partial differential equations (PDEs) and derive their exact Green function solution as a functional Taylor expansion in powers of the source. The kind of PDEs we consider are dispersive ones…

Mathematical Physics · Physics 2024-11-12 Marco Frasca , Stefan Groote

The article is based on the differential properties of the inner generators (singularities) that occur while handling SP series (sum product series), power series whose Taylor coefficients can be written as sum-product combinations. It is…

Classical Analysis and ODEs · Mathematics 2012-01-26 Shweta Sharma

In this study, an implicit-explicit local differential transform method (IELDTM) based on Taylor series representations is produced for solving 2D and 3D advection-diffusion equations. The parabolic advection-diffusion equations are reduced…

Numerical Analysis · Mathematics 2021-04-15 Huseyin Tunc , Murat Sari

We prove a factorization formula for the Taylor series coefficients of a zero of a polynomial as a function of the polynomial's coefficients. This result extends to more general functions which we call "complex-exponent polynomials". To…

Complex Variables · Mathematics 2021-01-07 Mario DeFranco

In 1994 we showed that very large classes of systems of nonlinear PDEs have solutions which can be assimilated with usual measurable functions on the Euclidean domains of definition of the respective equations. Recently, the regularity of…

Analysis of PDEs · Mathematics 2007-05-23 Elemer E Rosinger

A polynomial homotopy is a family of polynomial systems in one parameter, which defines solution paths starting from known solutions and ending at solutions of a system that has to be solved. We consider paths leading to isolated singular…

Numerical Analysis · Mathematics 2024-04-30 Jan Verschelde , Kylash Viswanathan

Constrained mechanical multibody systems arise in many important applications like robotics, vehicle and machinery dynamics and biomechanics of locomotion of humans. These systems are described by the Euler-Lagrange equations which are…

Numerical Analysis · Mathematics 2016-05-31 Brahim Benhammouda

We are interested in the numerical solution of coupled nonlinear partial differential equations (PDEs) in two and three dimensions. Under certain assumptions on the domain, we take advantage of the Kronecker structure arising in standard…

Numerical Analysis · Mathematics 2021-07-21 Gerhard Kirsten

The Paterson--Stockmeyer method is an evaluation scheme for matrix polynomials with scalar coefficients that arise in many state-of-the-art algorithms based on polynomial or rational approximation, for example, those for computing…

Numerical Analysis · Mathematics 2024-12-06 Xiaobo Liu

Taylor's formula holds significant importance in function representation, such as solving differential difference equations, ordinary differential equations, partial differential equations, and further promotes applications in visual…

Machine Learning · Computer Science 2025-07-15 Guoyou Wang , Yihua Tan , Shiqi Liu