daskr.jl-165a45c3-f624-5814-8e85-3bdf39a7becd

Last snapshots taken from https://github.com/UnofficialJuliaMirror/DASKR.jl-165a45c3-f624-5814-8e85-3bdf39a7becd on 2019-11-20T06:03:06.845-05:00 by @UnofficialJuliaMirrorBot via Travis job 153.11 , triggered by Travis cron job on branch "master"

https://github.com/unofficialjuliamirrorsnapshots/daskr.jl-165a45c3-f624-5814-8e85-3bdf39a7becd

Science Score: 18.0%

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Last synced: 10 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: UnofficialJuliaMirrorSnapshots
License: other
Language: Fortran
Default Branch: master
Size: 274 KB

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Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created about 7 years ago · Last pushed about 7 years ago

Metadata Files

Readme License Citation

README.md

DASKR

A solver for differential algebraic equations (DAE). This wraps the original DASKR FORTRAN solver. DASKR is a derivative of the DASSL solver with root finding.

An interface to the JuliaDiffEq common interface is also provided.

Common Interface Example

```julia using DASKR u0 = [1.0, 0, 0] du0 = [-0.04, 0.04, 0.0] tspan = (0.0,100000.0)

function resrob(r,yp,y,p,tres) r[1] = -0.04y[1] + 1.0e4y[2]y[3] r[2] = -r[1] - 3.0e7y[2]*y[2] - yp[2] r[1] -= yp[1] r[3] = y[1] + y[2] + y[3] - 1.0 end

prob = DAEProblem(resrob,u0,du0,tspan)
sol = solve(prob, daskr()) ```

The options for solve are documented at the common solver options page. For more details, see the ODE Tutorial and the DAE Tutorial pages from DifferentialEquations.jl.

Owner

Name: Unofficial Julia Mirror [Snapshots]
Login: UnofficialJuliaMirrorSnapshots
Kind: organization

Website: https://github.com/UnofficialJuliaMirrorSnapshots/RepoSnapshots.jl
Repositories: 4
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Citation (CITATION.bib)

@article{DifferentialEquations.jl-2017,
 author = {Rackauckas, Christopher and Nie, Qing},
 doi = {10.5334/jors.151},
 journal = {The Journal of Open Source Software},
 keywords = {Applied Mathematics},
 note = {Exported from https://app.dimensions.ai on 2019/05/05},
 number = {1},
 pages = {},
 title = {DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia},
 url = {https://app.dimensions.ai/details/publication/pub.1085583166 and http://openresearchsoftware.metajnl.com/articles/10.5334/jors.151/galley/245/download/},
 volume = {5},
 year = {2017}
}

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