BoundaryValueDiffEq

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

https://github.com/sciml/boundaryvaluediffeq.jl

Science Score: 54.0%

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

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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Committers with academic emails
5 of 27 committers (18.5%) 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 (12.8%) to scientific vocabulary

Keywords

bvp differential-equations differentialequations gpu neural-bvp neural-differential-equations neural-ode scientific-machine-learning sciml

Keywords from Contributors

neural-sde ida hybrid-differential-equation ode sde pde dde dae stochastic-differential-equations delay-differential-equations

Last synced: 6 months ago · JSON representation ·

Repository

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Basic Info

Host: GitHub
Owner: SciML
License: other
Language: Julia
Default Branch: master
Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Size: 5.11 MB

Statistics

Stars: 51
Watchers: 9
Forks: 39
Open Issues: 33
Releases: 110

Topics

bvp differential-equations differentialequations gpu neural-bvp neural-differential-equations neural-ode scientific-machine-learning sciml

Created almost 9 years ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

BoundaryValueDiffEq

BoundaryValueDiffEq.jl is a component package in the DifferentialEquations ecosystem. It holds the boundary value problem solvers and utilities. While completely independent and usable on its own, users interested in using this functionality should check out DifferentialEquations.jl.

API

BoundaryValueDiffEq.jl is part of the SciML common interface, but can be used independently of DifferentialEquations.jl. The only requirement is that the user passes a BoundaryValueDiffEq.jl algorithm to solve. For example, we can solve the BVP tutorial from the documentation using the MIRK4() algorithm:

julia using BoundaryValueDiffEq tspan = (0.0, pi / 2) function simplependulum!(du, u, p, t) θ = u[1] dθ = u[2] du[1] = dθ du[2] = -9.81 * sin(θ) end function bc!(residual, u, p, t) residual[1] = u(pi / 4)[1] + pi / 2 residual[2] = u(pi / 2)[1] - pi / 2 end prob = BVProblem(simplependulum!, bc!, [pi / 2, pi / 2], tspan) sol = solve(prob, MIRK4(), dt = 0.05)

Available Solvers

For the list of available solvers, please refer to the DifferentialEquations.jl BVP Solvers page. For options for the solve command, see the common solver options page.

Controlling Precompilation

Precompilation can be controlled via Preferences.jl

PrecompileMIRK -- Precompile the MIRK2 - MIRK6 algorithms (default: true).
PrecompileShooting -- Precompile the single shooting algorithms (default: true).
PrecompileMultipleShooting -- Precompile the multiple shooting algorithms (default: true).
PrecompileMIRKNLLS -- Precompile the MIRK2 - MIRK6 algorithms for under-determined and over-determined BVPs (default: false).
PrecompileShootingNLLS -- Precompile the single shooting algorithms for under-determined and over-determined BVPs (default: true).
PrecompileMultipleShootingNLLS -- Precompile the multiple shooting algorithms for under-determined and over-determined BVPs (default: true ).

To set these preferences before loading the package, do the following (replacing PrecompileShooting with the preference you want to set, or pass in multiple pairs to set them together):

julia using Preferences, UUIDs Preferences.set_preferences!(UUID("764a87c0-6b3e-53db-9096-fe964310641d"), "PrecompileShooting" => false)

Running Benchmarks Locally

We include a small set of benchmarks in the benchmarks folder. These are not extensive and mainly used to track regressions during development. For more extensive benchmarks, see the SciMLBenchmarks repository.

To run benchmarks locally install AirspeedVelocity.jl and run the following command in the package directory:

bash benchpkg BoundaryValueDiffEq --rev="master,<git sha for your commit>" --bench-on="master"

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

Create event: 132
Release event: 58
Issues event: 53
Watch event: 6
Delete event: 60
Issue comment event: 628
Push event: 343
Pull request review event: 115
Pull request review comment event: 141
Pull request event: 218
Fork event: 8

Last Year

Create event: 132
Release event: 58
Issues event: 53
Watch event: 6
Delete event: 60
Issue comment event: 628
Push event: 343
Pull request review event: 115
Pull request review comment event: 141
Pull request event: 218
Fork event: 8

Committers

Last synced: 8 months ago

All Time

Total Commits: 1,083
Total Committers: 27
Avg Commits per committer: 40.111
Development Distribution Score (DDS): 0.524

Past Year

Commits: 552
Committers: 7
Avg Commits per committer: 78.857
Development Distribution Score (DDS): 0.167

Top Committers

Name	Email	Commits
Qingyu Qu	2**3@q**m	515
Avik Pal	a**l@m**u	205
Christopher Rackauckas	a**s@c**m	174
YingboMa	m**5@g**m	83
Axel Larsson	6****o	31
CompatHelper Julia	c**y@j**g	16
dependabot[bot]	4****]	14
github-actions[bot]	4****]	9
Anant Thazhemadam	a**m@g**m	6
Oscar Smith	o**h@g**m	5
Aayush Sabharwal	a**l@j**m	3
Sheehan Olver	s**r@m**m	3
Chris de Graaf	me@c****v	2
Hendrik Ranocha	m**l@r**e	2
ScottPJones	s**s@a**u	2
femtocleaner[bot]	f****]	2
jamesjscully	j**y@g**m	1
deXtoRious	d**s@g**m	1
MatFi	g**t@e**e	1
Mark	m**n@u**u	1
Lilith Orion Hafner	l**r@g**m	1
Kanav Gupta	k**0@g**m	1
Julia TagBot	5****t	1
David Widmann	d****n	1
Avik Pal	a**l@a**u	1
Pepijn de Vos	p**s@j**m	1
Anshul Singhvi	a**7@s**u	1

Committer Domains (Top 20 + Academic)

simons-rock.edu: 1 juliacomputing.com: 1 amdci2.julia.csail.mit.edu: 1 ucdavis.edu: 1 endof.de: 1 alum.mit.edu: 1 ranocha.de: 1 cdg.dev: 1 mac.com: 1 juliahub.com: 1 julialang.org: 1 chrisrackauckas.com: 1 mit.edu: 1 qq.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 99
Total pull requests: 328
Average time to close issues: over 1 year
Average time to close pull requests: 9 days
Total issue authors: 39
Total pull request authors: 32
Average comments per issue: 7.72
Average comments per pull request: 1.58
Merged pull requests: 239
Bot issues: 0
Bot pull requests: 84

Past Year

Issues: 34
Pull requests: 189
Average time to close issues: about 1 month
Average time to close pull requests: 8 days
Issue authors: 13
Pull request authors: 8
Average comments per issue: 2.47
Average comments per pull request: 1.29
Merged pull requests: 121
Bot issues: 0
Bot pull requests: 59

View more stats

Top Authors

Issue Authors

ErikQQY (18)
ChrisRackauckas (16)
avik-pal (8)
caMi11er (5)
vyudu (4)
mateuszbaran (4)
seadra (3)
JBMcVey (3)
BeastyBlacksmith (3)
maysam-gholampour (2)
cpf-work (2)
JulianUlrich (2)
kar1504 (2)
homocomputeris (2)
sebastiantk (2)

Pull Request Authors

ErikQQY (172)
github-actions[bot] (73)
avik-pal (31)
ChrisRackauckas (28)
dependabot[bot] (20)
YingboMa (10)
thazhemadam (8)
axla-io (4)
oscardssmith (4)
AayushSabharwal (4)
ranocha (3)
xlxs4 (2)
ChrisRackauckas-Claude (2)
LilithHafner (2)
KristofferC (2)

Top Labels

Issue Labels

bug (25) question (10) enhancement (1) documentation (1) good-first-issue (1)

Pull Request Labels

dependencies (20) github_actions (2)

Packages

Total packages: 7
Total downloads:
- julia 21,094 total

Total dependent packages: 4
(may contain duplicates)
Total dependent repositories: 1
(may contain duplicates)
Total versions: 126

juliahub.com: BoundaryValueDiffEqCore

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Documentation: https://docs.juliahub.com/General/BoundaryValueDiffEqCore/stable/
License: MIT
Latest release: 1.11.1
published 8 months ago

Versions: 16
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 3,250 Total

Rankings

Downloads: 0.3%

Dependent repos count: 3.2%

Average: 6.6%

Dependent packages count: 16.3%

Last synced: 6 months ago

juliahub.com: BoundaryValueDiffEqFIRK

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Documentation: https://docs.juliahub.com/General/BoundaryValueDiffEqFIRK/stable/
License: MIT
Latest release: 1.9.0
published 9 months ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 2,954 Total

Rankings

Downloads: 0.3%

Dependent repos count: 3.2%

Average: 6.6%

Dependent packages count: 16.3%

Last synced: 6 months ago

juliahub.com: BoundaryValueDiffEqShooting

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Documentation: https://docs.juliahub.com/General/BoundaryValueDiffEqShooting/stable/
License: MIT
Latest release: 1.9.0
published 9 months ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 2,955 Total

Rankings

Downloads: 0.3%

Dependent repos count: 3.2%

Average: 6.6%

Dependent packages count: 16.3%

Last synced: 6 months ago

juliahub.com: BoundaryValueDiffEqMIRK

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Documentation: https://docs.juliahub.com/General/BoundaryValueDiffEqMIRK/stable/
License: MIT
Latest release: 1.9.0
published 9 months ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 2,952 Total

Rankings

Downloads: 0.3%

Dependent repos count: 3.2%

Average: 6.6%

Dependent packages count: 16.3%

Last synced: 6 months ago

juliahub.com: BoundaryValueDiffEqMIRKN

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Documentation: https://docs.juliahub.com/General/BoundaryValueDiffEqMIRKN/stable/
License: MIT
Latest release: 1.8.0
published 9 months ago

Versions: 12
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 2,932 Total

Rankings

Downloads: 0.5%

Dependent repos count: 3.2%

Average: 6.7%

Dependent packages count: 16.3%

Last synced: 6 months ago

juliahub.com: BoundaryValueDiffEqAscher

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Documentation: https://docs.juliahub.com/General/BoundaryValueDiffEqAscher/stable/
License: MIT
Latest release: 1.8.0
published 9 months ago

Versions: 10
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 2,928 Total

Rankings

Downloads: 0.5%

Dependent repos count: 3.2%

Average: 6.7%

Dependent packages count: 16.3%

Last synced: 6 months ago

juliahub.com: BoundaryValueDiffEq

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Homepage: https://docs.sciml.ai/BoundaryValueDiffEq/dev/
Documentation: https://docs.juliahub.com/General/BoundaryValueDiffEq/stable/
License: MIT
Latest release: 5.18.0
published 9 months ago

Versions: 46
Dependent Packages: 4
Dependent Repositories: 1
Downloads: 3,123 Total

Rankings

Forks count: 6.9%

Dependent repos count: 7.7%

Average: 11.0%

Dependent packages count: 11.4%

Stargazers count: 17.9%

Last synced: 6 months ago

Dependencies

.github/workflows/CI.yml actions

actions/cache v3 composite
actions/checkout v4 composite
codecov/codecov-action v3 composite
julia-actions/julia-buildpkg v1 composite
julia-actions/julia-processcoverage v1 composite
julia-actions/julia-runtest v1 composite
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.github/workflows/CompatHelper.yml actions

julia-actions/setup-julia latest composite

.github/workflows/FormatCheck.yml actions

actions/checkout v4 composite
julia-actions/setup-julia latest composite

.github/workflows/Invalidations.yml actions

actions/checkout v4 composite
julia-actions/julia-buildpkg v1 composite
julia-actions/julia-invalidations v1 composite
julia-actions/setup-julia v1 composite

.github/workflows/TagBot.yml actions

JuliaRegistries/TagBot v1 composite

.github/workflows/BenchmarkPR.yml actions

actions/checkout v4 composite
actions/upload-artifact v3 composite
julia-actions/cache v1 composite
julia-actions/setup-julia v1 composite
peter-evans/create-or-update-comment v3 composite
peter-evans/find-comment v2 composite

BoundaryValueDiffEq

Science Score: 54.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

BoundaryValueDiffEq

API

Available Solvers

Controlling Precompilation

Running Benchmarks Locally

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

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

juliahub.com: BoundaryValueDiffEqCore

Rankings

juliahub.com: BoundaryValueDiffEqFIRK

Rankings

juliahub.com: BoundaryValueDiffEqShooting

Rankings

juliahub.com: BoundaryValueDiffEqMIRK

Rankings

juliahub.com: BoundaryValueDiffEqMIRKN

Rankings

juliahub.com: BoundaryValueDiffEqAscher

Rankings

juliahub.com: BoundaryValueDiffEq

Rankings

Dependencies