Data for: An Analytic Computation-Driven Algorithms for Decentralized Multicore Systems

Published: 13 Feb 2019 | Version 1 | DOI: 10.17632/fd2yhvfpp2.1

Description of this data

The main interface of Python package AdomianPy is asolve(eq, ics, kwargs), where the parameter $eq$ can be any supported ordinary or partial differential equations, ics is the set of boundary conditions for the differential equations. kwargs is optional, depending on the sophistication of our physical model. The kwargs includes func=None, n=5 type=4 and core=1,
where func is a function of variables whose derivatives in that variables make up the ordinary or partial differential equations, n represents the required highest order of the truncated series solutions, type is the class number of the Adomian polynomials, core is the number of processors used for computation, and their default value is None, 5 ,4, 1 respectively.
In Appendix A, we will describe the details about how-to-use of AdomianPy.

Experiment data files

This data is associated with the following publication:

An analytic computation-driven algorithm for Decentralized Multicore Systems

Published in: Future Generation Computer Systems

Latest version

  • Version 1


    Published: 2019-02-13

    DOI: 10.17632/fd2yhvfpp2.1

    Cite this dataset

    Pan, Zhifang; Chen, Jiuqiang; Xinyuan, King; Lin, Yezhi (2019), “Data for: An Analytic Computation-Driven Algorithms for Decentralized Multicore Systems”, Mendeley Data, v1


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Symbolic Computation


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