build based on 34e29ec

Author: Documenter.jl

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.11.1","generation_timestamp":"2024-10-29T12:56:15","documenter_version":"1.7.0"}}
+{"documenter":{"julia_version":"1.11.1","generation_timestamp":"2024-10-29T13:00:01","documenter_version":"1.7.0"}}

dev/comparisons/cppfortran/index.html

@@ -66,4 +66,4 @@
 u: 2-element Vector{Float64}:
  -2.129924444096732e-29
  -2.398137151871876e-28</code></pre><h3 id="Step-5:-Analyze-the-Solution"><a class="docs-heading-anchor" href="#Step-5:-Analyze-the-Solution">Step 5: Analyze the Solution</a><a id="Step-5:-Analyze-the-Solution-1"></a><a class="docs-heading-anchor-permalink" href="#Step-5:-Analyze-the-Solution" title="Permalink"></a></h3><p>Now let&#39;s check out the solution. First of all, what kind of thing is the <code>sol</code>? We can see that by asking for its type:</p><pre><code class="language-julia hljs">typeof(sol)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">SciMLBase.NonlinearSolution{Float64, 1, Vector{Float64}, Vector{Float64}, SciMLBase.NonlinearProblem{Vector{Float64}, true, ModelingToolkit.MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.var&quot;#f#716&quot;{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var&quot;#_RGF_ModTag&quot;, ModelingToolkit.var&quot;#_RGF_ModTag&quot;, (0xa4bf79ec, 0xc16c2068, 0x0db3e3af, 0x4ad4da98, 0x1bd39b2c), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var&quot;#_RGF_ModTag&quot;, ModelingToolkit.var&quot;#_RGF_ModTag&quot;, (0x2011af47, 0x2a8c771c, 0x8ee65b22, 0xa89a0e73, 0xd03f2036), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.NonlinearSystem}, Nothing, ModelingToolkit.NonlinearSystem, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardNonlinearProblem}, NonlinearSolve.GeneralizedFirstOrderAlgorithm{nothing, :NewtonRaphson, LineSearch.NoLineSearch{Bool}, Missing, NonlinearSolve.NewtonDescent{Nothing, typeof(NonlinearSolve.DEFAULT_PRECS)}, Nothing, Nothing, Nothing}, Nothing, Nothing, SciMLBase.NLStats, NonlinearSolve.NonlinearSolveTrace{false, false, NonlinearSolve.TraceMinimal, Nothing, SciMLBase.NonlinearProblem{Vector{Float64}, true, ModelingToolkit.MTKParameters{Vector{Float64}, Tuple{}, Tuple{}, Tuple{}}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, ModelingToolkit.var&quot;#f#716&quot;{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var&quot;#_RGF_ModTag&quot;, ModelingToolkit.var&quot;#_RGF_ModTag&quot;, (0xa4bf79ec, 0xc16c2068, 0x0db3e3af, 0x4ad4da98, 0x1bd39b2c), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), ModelingToolkit.var&quot;#_RGF_ModTag&quot;, ModelingToolkit.var&quot;#_RGF_ModTag&quot;, (0x2011af47, 0x2a8c771c, 0x8ee65b22, 0xa89a0e73, 0xd03f2036), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{ModelingToolkit.NonlinearSystem}, Nothing, ModelingToolkit.NonlinearSystem, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardNonlinearProblem}}}</code></pre><p>From this, we can see that it is an <code>NonlinearSolution</code>. We can see the documentation for how to use the <code>NonlinearSolution</code> by checking the <a href="https://docs.sciml.ai/NonlinearSolve/stable/basics/nonlinear_solution/">NonlinearSolve.jl solution type page.</a> For example, the solution is stored as <code>.u</code>. What is the solution to our nonlinear system, and what is the final residual value? We can check it as follows:</p><pre><code class="language-julia hljs"># Analyze the solution
-@show sol[[x, y, z]], sol.resid</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">([-2.129924444096732e-29, -5.537803554651503e-28, -2.398137151871876e-28], [-5.32481111024183e-27, 6.395032404991669e-28])</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../fit_simulation/">« Fit a simulation to a dataset</a><a class="docs-footer-nextpage" href="../../comparisons/python/">Getting Started with Julia&#39;s SciML for the Python User »</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 1.7.0 on <span class="colophon-date" title="Tuesday 29 October 2024 12:56">Tuesday 29 October 2024</span>. Using Julia version 1.11.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+@show sol[[x, y, z]], sol.resid</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">([-2.129924444096732e-29, -5.537803554651503e-28, -2.398137151871876e-28], [-5.32481111024183e-27, 6.395032404991669e-28])</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../fit_simulation/">« Fit a simulation to a dataset</a><a class="docs-footer-nextpage" href="../../comparisons/python/">Getting Started with Julia&#39;s SciML for the Python User »</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 1.7.0 on <span class="colophon-date" title="Tuesday 29 October 2024 12:59">Tuesday 29 October 2024</span>. Using Julia version 1.11.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

dev/comparisons/matlab/index.html

@@ -29,4 +29,4 @@
 u: 2-element Vector{Float64}:
  1.0
  1.0</code></pre><h3 id="Step-4:-Analyze-the-Solution"><a class="docs-heading-anchor" href="#Step-4:-Analyze-the-Solution">Step 4: Analyze the Solution</a><a id="Step-4:-Analyze-the-Solution-1"></a><a class="docs-heading-anchor-permalink" href="#Step-4:-Analyze-the-Solution" title="Permalink"></a></h3><p>Now let&#39;s check out the solution. First of all, what kind of thing is the <code>sol</code>? We can see that by asking for its type:</p><pre><code class="language-julia hljs">typeof(sol)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">SciMLBase.OptimizationSolution{Float64, 1, Vector{Float64}, OptimizationBase.OptimizationCache{SciMLBase.OptimizationFunction{true, ADTypes.AutoForwardDiff{nothing, Nothing}, typeof(Main.L), OptimizationBase.var&quot;#grad#16&quot;{Vector{Float64}, SciMLBase.OptimizationFunction{true, ADTypes.AutoForwardDiff{nothing, Nothing}, typeof(Main.L), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, ADTypes.AutoForwardDiff{nothing, Nothing}}, Nothing, OptimizationBase.var&quot;#hess#20&quot;{Vector{Float64}, SciMLBase.OptimizationFunction{true, ADTypes.AutoForwardDiff{nothing, Nothing}, typeof(Main.L), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, DifferentiationInterface.SecondOrder{ADTypes.AutoForwardDiff{nothing, Nothing}, ADTypes.AutoForwardDiff{nothing, Nothing}}}, Nothing, OptimizationBase.var&quot;#hv!#24&quot;{Vector{Float64}, DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPPrep{ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPWrapper{typeof(Main.L)}, Float64}}, DifferentiationInterfaceForwardDiffExt.var&quot;#inner_gradient#9&quot;{typeof(Main.L), DifferentiationInterface.SecondOrder{ADTypes.AutoForwardDiff{nothing, Nothing}, ADTypes.AutoForwardDiff{nothing, Nothing}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffGradientPrep{ForwardDiff.GradientConfig{ForwardDiff.Tag{DifferentiationInterface.FixTail{typeof(Main.L), Tuple{Vector{Float64}}}, ForwardDiff.Dual{ForwardDiff.Tag{DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPWrapper{typeof(Main.L)}, Float64}, Float64, 1}}, ForwardDiff.Dual{ForwardDiff.Tag{DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPWrapper{typeof(Main.L)}, Float64}, Float64, 1}, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DifferentiationInterface.FixTail{typeof(Main.L), Tuple{Vector{Float64}}}, ForwardDiff.Dual{ForwardDiff.Tag{DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPWrapper{typeof(Main.L)}, Float64}, Float64, 1}}, ForwardDiff.Dual{ForwardDiff.Tag{DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPWrapper{typeof(Main.L)}, Float64}, Float64, 1}, 2}}}}, DifferentiationInterface.Rewrap{1, Tuple{typeof(DifferentiationInterface.constant_maker)}}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffOneArgPushforwardPrep{ForwardDiff.Tag{DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPWrapper{typeof(Main.L)}, Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DifferentiationInterfaceForwardDiffExt.ForwardDiffOverSomethingHVPWrapper{typeof(Main.L)}, Float64}, Float64, 1}}}}, SciMLBase.OptimizationFunction{true, ADTypes.AutoForwardDiff{nothing, Nothing}, typeof(Main.L), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, DifferentiationInterface.SecondOrder{ADTypes.AutoForwardDiff{nothing, Nothing}, ADTypes.AutoForwardDiff{nothing, Nothing}}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, NLopt.Algorithm, Bool, OptimizationNLopt.var&quot;#2#4&quot;, Nothing}, NLopt.Algorithm, Float64, NLopt.Opt, SciMLBase.OptimizationStats}</code></pre><p>From this, we can see that it is an <code>OptimizationSolution</code>. We can see the documentation for how to use the <code>OptimizationSolution</code> by checking the <a href="https://docs.sciml.ai/Optimization/stable/API/optimization_solution/">Optimization.jl solution type page</a>. For example, the solution is stored as <code>.u</code>. What is the solution to our optimization, and what is the final loss value? We can check it as follows:</p><pre><code class="language-julia hljs"># Analyze the solution
-@show sol.u, L(sol.u, p)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">([1.0, 1.0], 0.0)</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../first_simulation/">« Build and run your first simulation with Julia&#39;s SciML</a><a class="docs-footer-nextpage" href="../fit_simulation/">Fit a simulation to a dataset »</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 1.7.0 on <span class="colophon-date" title="Tuesday 29 October 2024 12:56">Tuesday 29 October 2024</span>. Using Julia version 1.11.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+@show sol.u, L(sol.u, p)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">([1.0, 1.0], 0.0)</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../first_simulation/">« Build and run your first simulation with Julia&#39;s SciML</a><a class="docs-footer-nextpage" href="../fit_simulation/">Fit a simulation to a dataset »</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 1.7.0 on <span class="colophon-date" title="Tuesday 29 October 2024 12:59">Tuesday 29 October 2024</span>. Using Julia version 1.11.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>