A Python program for solving ordinary differential equations.
收藏NIAID Data Ecosystem2026-03-11 收录
数据链接:
官方服务:
资源简介:
(ZIP)
应用场景:
创建时间:
2020-05-20
相关数据集
An extension of the Prelle–Singer method and a Maple implementation
Abstract The Prelle–Singer method is a semi-decision algorithm which can be used to solve analytically first order ordinary differential equations which have solutions in terms of elementary functio
Mendeley Data2023-02-23 更新130
fig 4 from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models
The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential equations (ODEs). Often these models have
DataCite Commons2020-08-25 更新100
Fig 2 from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models
The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential equations (ODEs). Often these models have
DataCite Commons2020-08-25 更新50
A Generalized Smoother for Linear Ordinary Differential Equations
Ordinary differential equations (ODEs) are equalities involving a function and its derivatives that define the evolution of the function over a prespecified domain. The applications of ODEs range from
DataCite Commons2020-09-03 更新100
Initial parameters final from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models
The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential equations (ODEs). Often these models have
DataCite Commons2020-08-25 更新60



