build based on 355ba1c

Author: Documenter.jl

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.12.5","generation_timestamp":"2026-03-28T13:03:58","documenter_version":"1.17.0"}}
+{"documenter":{"julia_version":"1.12.5","generation_timestamp":"2026-03-28T12:06:12","documenter_version":"1.17.0"}}

dev/assets/Manifest.toml

@@ -964,7 +964,7 @@ version = "1.8.1"
 
 [[deps.OrdinaryDiffEq]]
 deps = ["ADTypes", "Adapt", "ArrayInterface", "CommonSolve", "DataStructures", "DiffEqBase", "DocStringExtensions", "EnumX", "ExponentialUtilities", "FastBroadcast", "FastClosures", "FillArrays", "FiniteDiff", "ForwardDiff", "FunctionWrappersWrappers", "InteractiveUtils", "LineSearches", "LinearAlgebra", "LinearSolve", "Logging", "MacroTools", "MuladdMacro", "NonlinearSolve", "OrdinaryDiffEqAdamsBashforthMoulton", "OrdinaryDiffEqBDF", "OrdinaryDiffEqCore", "OrdinaryDiffEqDefault", "OrdinaryDiffEqDifferentiation", "OrdinaryDiffEqExplicitRK", "OrdinaryDiffEqExponentialRK", "OrdinaryDiffEqExtrapolation", "OrdinaryDiffEqFIRK", "OrdinaryDiffEqFeagin", "OrdinaryDiffEqFunctionMap", "OrdinaryDiffEqHighOrderRK", "OrdinaryDiffEqIMEXMultistep", "OrdinaryDiffEqLinear", "OrdinaryDiffEqLowOrderRK", "OrdinaryDiffEqLowStorageRK", "OrdinaryDiffEqNonlinearSolve", "OrdinaryDiffEqNordsieck", "OrdinaryDiffEqPDIRK", "OrdinaryDiffEqPRK", "OrdinaryDiffEqQPRK", "OrdinaryDiffEqRKN", "OrdinaryDiffEqRosenbrock", "OrdinaryDiffEqSDIRK", "OrdinaryDiffEqSSPRK", "OrdinaryDiffEqStabilizedIRK", "OrdinaryDiffEqStabilizedRK", "OrdinaryDiffEqSymplecticRK", "OrdinaryDiffEqTsit5", "OrdinaryDiffEqVerner", "Polyester", "PreallocationTools", "PrecompileTools", "Preferences", "RecursiveArrayTools", "Reexport", "SciMLBase", "SciMLOperators", "SciMLStructures", "SimpleNonlinearSolve", "SparseArrays", "Static", "StaticArrayInterface", "StaticArrays", "TruncatedStacktraces"]
-path = "/home/runner/work/OrdinaryDiffEq.jl/OrdinaryDiffEq.jl"
+path = "/home/chrisrackauckas/github-runners/arctic1-9/_work/OrdinaryDiffEq.jl/OrdinaryDiffEq.jl"
 uuid = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 version = "6.109.0"
 

dev/dynamicalodeexplicit/RKN/index.html

@@ -14,4 +14,4 @@
 u0 = [1.0; 0.0; 0.0]
 tspan = (0.0, 100.0)
 prob = ODEProblem(lorenz!, u0, tspan)
-sol = solve(prob, Feagin14())</code></pre><h2 id="Full-list-of-solvers"><a class="docs-heading-anchor" href="#Full-list-of-solvers">Full list of solvers</a><a id="Full-list-of-solvers-1"></a><a class="docs-heading-anchor-permalink" href="#Full-list-of-solvers" title="Permalink"></a></h2><article><details class="docstring"><summary id="OrdinaryDiffEqFeagin.Feagin10"><a class="docstring-binding" href="#OrdinaryDiffEqFeagin.Feagin10"><code>OrdinaryDiffEqFeagin.Feagin10</code></a> — <span class="docstring-category">Type</span></summary><section><div><pre><code class="language-julia hljs">Feagin10(; step_limiter! = OrdinaryDiffEq.trivial_limiter!)</code></pre><p>Explicit Runge-Kutta Method.  Feagin&#39;s 10th-order method.</p><p><strong>Keyword Arguments</strong></p><ul><li><code>stage_limiter!</code>: function of the form <code>limiter!(u, integrator, p, t)</code></li></ul><p><strong>References</strong></p><p>@article{feagin2012high, title={High-order explicit Runge-Kutta methods using m-symmetry}, author={Feagin, Terry}, year={2012}, publisher={Neural, Parallel \&amp; Scientific Computations} }</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/OrdinaryDiffEq.jl/blob/6a28d58470ef928b6ce03cb43628a16232e10efd/lib/OrdinaryDiffEqFeagin/src/algorithms.jl#L1-L18">source</a></section></details></article><article><details class="docstring"><summary id="OrdinaryDiffEqFeagin.Feagin12"><a class="docstring-binding" href="#OrdinaryDiffEqFeagin.Feagin12"><code>OrdinaryDiffEqFeagin.Feagin12</code></a> — <span class="docstring-category">Type</span></summary><section><div><pre><code class="language-julia hljs">Feagin12(; step_limiter! = OrdinaryDiffEq.trivial_limiter!)</code></pre><p>Explicit Runge-Kutta Method.  Feagin&#39;s 12th-order method.</p><p><strong>Keyword Arguments</strong></p><ul><li><code>stage_limiter!</code>: function of the form <code>limiter!(u, integrator, p, t)</code></li></ul><p><strong>References</strong></p><p>@article{feagin2012high, title={High-order explicit Runge-Kutta methods using m-symmetry}, author={Feagin, Terry}, year={2012}, publisher={Neural, Parallel \&amp; Scientific Computations} }</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/OrdinaryDiffEq.jl/blob/6a28d58470ef928b6ce03cb43628a16232e10efd/lib/OrdinaryDiffEqFeagin/src/algorithms.jl#L20-L37">source</a></section></details></article><article><details class="docstring"><summary id="OrdinaryDiffEqFeagin.Feagin14"><a class="docstring-binding" href="#OrdinaryDiffEqFeagin.Feagin14"><code>OrdinaryDiffEqFeagin.Feagin14</code></a> — <span class="docstring-category">Type</span></summary><section><div><pre><code class="language-julia hljs">Feagin14(; step_limiter! = OrdinaryDiffEq.trivial_limiter!)</code></pre><p>Explicit Runge-Kutta Method.  Feagin&#39;s 14th-order method.</p><p><strong>Keyword Arguments</strong></p><ul><li><code>stage_limiter!</code>: function of the form <code>limiter!(u, integrator, p, t)</code></li></ul><p><strong>References</strong></p><p>@article{feagin2009explicit, title={An Explicit Runge-Kutta Method of Order Fourteen}, author={Feagin, Terry}, year={2009}, publisher={Numerical Algorithms} }</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/OrdinaryDiffEq.jl/blob/6a28d58470ef928b6ce03cb43628a16232e10efd/lib/OrdinaryDiffEqFeagin/src/algorithms.jl#L39-L56">source</a></section></details></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../HighOrderRK/">« OrdinaryDiffEqHighOrderRK</a><a class="docs-footer-nextpage" href="../PRK/">OrdinaryDiffEqPRK »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.17.0 on <span class="colophon-date" title="Saturday 28 March 2026 13:03">Saturday 28 March 2026</span>. 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+sol = solve(prob, Feagin14())</code></pre><h2 id="Full-list-of-solvers"><a class="docs-heading-anchor" href="#Full-list-of-solvers">Full list of solvers</a><a id="Full-list-of-solvers-1"></a><a class="docs-heading-anchor-permalink" href="#Full-list-of-solvers" title="Permalink"></a></h2><article><details class="docstring"><summary id="OrdinaryDiffEqFeagin.Feagin10"><a class="docstring-binding" href="#OrdinaryDiffEqFeagin.Feagin10"><code>OrdinaryDiffEqFeagin.Feagin10</code></a> — <span class="docstring-category">Type</span></summary><section><div><pre><code class="language-julia hljs">Feagin10(; step_limiter! = OrdinaryDiffEq.trivial_limiter!)</code></pre><p>Explicit Runge-Kutta Method.  Feagin&#39;s 10th-order method.</p><p><strong>Keyword Arguments</strong></p><ul><li><code>stage_limiter!</code>: function of the form <code>limiter!(u, integrator, p, t)</code></li></ul><p><strong>References</strong></p><p>@article{feagin2012high, title={High-order explicit Runge-Kutta methods using m-symmetry}, author={Feagin, Terry}, year={2012}, publisher={Neural, Parallel \&amp; Scientific Computations} }</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/OrdinaryDiffEq.jl/blob/355ba1cf496d4dc7846dd425a91db5607030fb45/lib/OrdinaryDiffEqFeagin/src/algorithms.jl#L1-L18">source</a></section></details></article><article><details class="docstring"><summary id="OrdinaryDiffEqFeagin.Feagin12"><a class="docstring-binding" href="#OrdinaryDiffEqFeagin.Feagin12"><code>OrdinaryDiffEqFeagin.Feagin12</code></a> — <span class="docstring-category">Type</span></summary><section><div><pre><code class="language-julia hljs">Feagin12(; step_limiter! = OrdinaryDiffEq.trivial_limiter!)</code></pre><p>Explicit Runge-Kutta Method.  Feagin&#39;s 12th-order method.</p><p><strong>Keyword Arguments</strong></p><ul><li><code>stage_limiter!</code>: function of the form <code>limiter!(u, integrator, p, t)</code></li></ul><p><strong>References</strong></p><p>@article{feagin2012high, title={High-order explicit Runge-Kutta methods using m-symmetry}, author={Feagin, Terry}, year={2012}, publisher={Neural, Parallel \&amp; Scientific Computations} }</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/OrdinaryDiffEq.jl/blob/355ba1cf496d4dc7846dd425a91db5607030fb45/lib/OrdinaryDiffEqFeagin/src/algorithms.jl#L20-L37">source</a></section></details></article><article><details class="docstring"><summary id="OrdinaryDiffEqFeagin.Feagin14"><a class="docstring-binding" href="#OrdinaryDiffEqFeagin.Feagin14"><code>OrdinaryDiffEqFeagin.Feagin14</code></a> — <span class="docstring-category">Type</span></summary><section><div><pre><code class="language-julia hljs">Feagin14(; step_limiter! = OrdinaryDiffEq.trivial_limiter!)</code></pre><p>Explicit Runge-Kutta Method.  Feagin&#39;s 14th-order method.</p><p><strong>Keyword Arguments</strong></p><ul><li><code>stage_limiter!</code>: function of the form <code>limiter!(u, integrator, p, t)</code></li></ul><p><strong>References</strong></p><p>@article{feagin2009explicit, title={An Explicit Runge-Kutta Method of Order Fourteen}, author={Feagin, Terry}, year={2009}, publisher={Numerical Algorithms} }</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/OrdinaryDiffEq.jl/blob/355ba1cf496d4dc7846dd425a91db5607030fb45/lib/OrdinaryDiffEqFeagin/src/algorithms.jl#L39-L56">source</a></section></details></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../HighOrderRK/">« OrdinaryDiffEqHighOrderRK</a><a class="docs-footer-nextpage" href="../PRK/">OrdinaryDiffEqPRK »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.17.0 on <span class="colophon-date" title="Saturday 28 March 2026 12:06">Saturday 28 March 2026</span>. Using Julia version 1.12.5.</p></section><footer class="modal-card-foot"></footer></div></div></div></body><div data-docstringscollapsed="true"></div></html>