DASKR

Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
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DOI references
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Academic publication links
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Committers with academic emails
3 of 25 committers (12.0%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary

Keywords

dae daskr differential-algebraic differential-algebraic-equations differential-equations differentialequations scientific-machine-learning sciml

Keywords from Contributors

sde pde ode neural-ode matrix-exponential stochastic-differential-equations dde partial-differential-equations numerics ordinary-differential-equations

Last synced: 6 months ago · JSON representation ·

Repository

Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem

Basic Info

Host: GitHub
Owner: SciML
License: other
Language: Julia
Default Branch: master
Homepage:
Size: 419 KB

Statistics

Stars: 11
Watchers: 5
Forks: 14
Open Issues: 5
Releases: 18

Topics

dae daskr differential-algebraic differential-algebraic-equations differential-equations differentialequations scientific-machine-learning sciml

Created about 9 years ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

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.

Citing

Please cite DifferentialEquations.jl and the original algorithm:

``` @article{rackauckas2017differentialequations, title={Differentialequations. jl--a performant and feature-rich ecosystem for solving differential equations in julia}, author={Rackauckas, Christopher and Nie, Qing}, journal={Journal of Open Research Software}, volume={5}, number={1}, year={2017}, publisher={Ubiquity Press} }

@article{brown1994using, title={Using Krylov methods in the solution of large-scale differential-algebraic systems}, author={Brown, Peter N and Hindmarsh, Alan C and Petzold, Linda R}, journal={SIAM Journal on Scientific Computing}, volume={15}, number={6}, pages={1467--1488}, year={1994}, publisher={SIAM} }

@article{brown1998consistent, title={Consistent initial condition calculation for differential-algebraic systems}, author={Brown, Peter N and Hindmarsh, Alan C and Petzold, Linda R}, journal={SIAM Journal on Scientific Computing}, volume={19}, number={5}, pages={1495--1512}, year={1998}, publisher={SIAM} } ```

Owner

Name: SciML Open Source Scientific Machine Learning
Login: SciML
Kind: organization
Email: contact@chrisrackauckas.com

Website: https://sciml.ai
Twitter: SciML_Org
Repositories: 170
Profile: https://github.com/SciML

Open source software for scientific machine learning

Citation (CITATION.bib)

@article{DifferentialEquations.jl-2017,
 author = {Rackauckas, Christopher and Nie, Qing},
 doi = {10.5334/jors.151},
 journal = {The Journal of Open Research 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}
}

GitHub Events

Total

Delete event: 3
Push event: 4
Pull request event: 5
Fork event: 1
Create event: 3

Last Year

Delete event: 3
Push event: 4
Pull request event: 5
Fork event: 1
Create event: 3

Committers

Last synced: 8 months ago

All Time

Total Commits: 127
Total Committers: 25
Avg Commits per committer: 5.08
Development Distribution Score (DDS): 0.677

Past Year

Commits: 12
Committers: 6
Avg Commits per committer: 2.0
Development Distribution Score (DDS): 0.583

Top Committers

Name	Email	Commits
Christopher Rackauckas	a**s@c**m	41
Christopher Rackauckas	C**t@C**m	32
dependabot[bot]	4****]	7
ScottPJones	s**s@a**u	7
ChrisRackauckas	c**s@g**m	6
Tom Short	t**s@g**m	6
Anant Thazhemadam	a**m@g**m	5
ChrisRackauckas	me@c****m	3
Vaibhav Kumar Dixit	v**t@g**m	2
Chris de Graaf	me@c****v	2
github-actions[bot]	4****]	2
Yingbo Ma	m**5@g**m	1
Venkateshprasad	v**k@g**m	1
Anant Thazhemadam	4****m	1
Elliot Saba	s**t@g**m	1
Julia TagBot	5****t	1
femtocleaner[bot]	f****]	1
Stefanos Carlström	s**m@g**m	1
Pepijn de Vos	p**s@j**m	1
Lilith Orion Hafner	l**r@g**m	1
Hendrik Ranocha	m**l@r**e	1
Hendrik Ranocha	h**a@t**e	1
David Widmann	d**n@i**e	1
Anshul Singhvi	a**7@s**u	1
CompatHelper Julia	c**y@j**g	1

Committer Domains (Top 20 + Academic)

chrisrackauckas.com: 3 julialang.org: 1 simons-rock.edu: 1 it.uu.se: 1 tu-bs.de: 1 ranocha.de: 1 juliacomputing.com: 1 cdg.dev: 1 alum.mit.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 12
Total pull requests: 49
Average time to close issues: about 2 months
Average time to close pull requests: 2 days
Total issue authors: 3
Total pull request authors: 19
Average comments per issue: 3.0
Average comments per pull request: 1.39
Merged pull requests: 47
Bot issues: 0
Bot pull requests: 11

Past Year

Issues: 0
Pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: about 6 hours
Issue authors: 0
Pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

ChrisRackauckas (10)
wg030 (1)
JuliaTagBot (1)

Pull Request Authors

ChrisRackauckas (18)
dependabot[bot] (9)
ScottPJones (5)
thazhemadam (5)
github-actions[bot] (3)
LilithHafner (2)
christopher-dG (2)
JuliaTagBot (1)
pepijndevos (1)
YingboMa (1)
ranocha (1)
Vaibhavdixit02 (1)
staticfloat (1)
jagot (1)
tshort (1)

Top Labels

Issue Labels

help wanted (1)

Pull Request Labels

dependencies (9)

Packages

Total packages: 1
Total downloads:
- julia 7 total

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 12

juliahub.com: DASKR

Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem

Documentation: https://docs.juliahub.com/General/DASKR/stable/
License: MIT
Latest release: 2.9.1
published about 3 years ago

Versions: 12
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 7 Total

Rankings

Forks count: 9.8%

Dependent repos count: 9.9%

Average: 22.8%

Stargazers count: 32.6%

Dependent packages count: 38.9%

Last synced: 6 months ago

DASKR

Science Score: 54.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

DASKR

Common Interface Example

Citing

Owner

Citation (CITATION.bib)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

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Top Labels

Issue Labels

Pull Request Labels

Packages

juliahub.com: DASKR

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