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Journal ArticleDOI

Numerical Integration of Ordinary Differential Equations

W. E. Milne
- 01 Nov 1926 - 
- Vol. 33, Iss: 9, pp 455-460
TLDR
In this article, the integration of Ordinary Differential Equations (ODE) has been studied in the context of algebraic geometry, and it has been shown that it is possible to integrate ODE
Abstract
(1926). Numerical Integration of Ordinary Differential Equations. The American Mathematical Monthly: Vol. 33, No. 9, pp. 455-460.

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Journal ArticleDOI

Stability of a Numerical Solution of Differential Equations

TL;DR: It is shown that the occasional application of Newton's “three eighths” quadrature formula over three intervals can effectively damp out the unwanted oscillation without harm to the desired solution.
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Construction of variable-stepsize multistep formulas

TL;DR: In this paper, a general fixed-step-size multistep formula was extended to a minimum storage variable step-size formula, which encompasses fixed-coefficient (interpolatory), variable-step (variable step), and fixed leading coefficient as special cases.
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Formulation and Implementation of Nonlinear Integral Equations to Model Neural Dynamics Within the Vertebrate Retina.

TL;DR: This research presents a novel approach that requires the effective integration of different dynamical time scales within a unified framework of neural responses, where the rod, cone, amacrine, bipolar, and ganglion cells correspond to the implemented pathways.
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High order stiffly stable composite multistep methods for numerical integration of stiff differential equations

TL;DR: In this article, the Lagrange interpolating polynomial (LIP) method is used to obtain the approximate solution at only one past point in each component multistep formula of the method and the local truncation error for the first component multi-step formula is easily evaluated as
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Trigonometrically-fitted second derivative method for oscillatory problems

TL;DR: The stability properties of the TSDM are discussed and numerical experiments are presented to demonstrate the efficiency of the method.