کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
501856 | 863661 | 2011 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: [SADE] a Maple package for the symmetry analysis of differential equations [SADE] a Maple package for the symmetry analysis of differential equations](/preview/png/501856.png)
We present the package SADE (Symmetry Analysis of Differential Equations) for the determination of symmetries and related properties of systems of differential equations. The main methods implemented are: Lie, nonclassical, Lie–Bäcklund and potential symmetries, invariant solutions, first-integrals, Nöther theorem for both discrete and continuous systems, solution of ordinary differential equations, order and dimension reductions using Lie symmetries, classification of differential equations, Casimir invariants, and the quasi-polynomial formalism for ODE's (previously implemented by the authors in the package QPSI) for the determination of quasi-polynomial first-integrals, Lie symmetries and invariant surfaces. Examples of use of the package are given.Program summaryProgram title: SADECatalogue identifier: AEHL_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEHL_v1_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: Standard CPC license, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 27 704No. of bytes in distributed program, including test data, etc.: 346 954Distribution format: tar.gzProgramming language: MAPLE 13 and MAPLE 14Computer: PCs and workstationsOperating system: UNIX/LINUX systems and WINDOWSClassification: 4.3Nature of problem: Determination of analytical properties of systems of differential equations, including symmetry transformations, analytical solutions and conservation laws.Solution method: The package implements in MAPLE some algorithms (discussed in the text) for the study of systems of differential equations.Restrictions: Depends strongly on the system and on the algorithm required. Typical restrictions are related to the solution of a large over-determined system of linear or non-linear differential equations.Running time: Depends strongly on the order, the complexity of the differential system and the object computed. Ranges from seconds to hours.
Journal: Computer Physics Communications - Volume 182, Issue 2, February 2011, Pages 467–476