build based on e89bd34

Author: Documenter.jl

dev/backend/index.html

@@ -57,9 +57,9 @@
   return g
 end</code></pre><p>Finally, we use the homemade backend to compute the gradient.</p><pre><code class="language-julia hljs">nlp = ADNLPModel(sum, ones(3), gradient_backend = NewADGradient)
 grad(nlp, nlp.meta.x0)  # returns the gradient at x0 using `NewADGradient`</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">3-element Vector{Float64}:
- 0.21880602456213472
- 0.7887122211046185
- 0.0011504754978179932</code></pre><h3 id="Change-backend"><a class="docs-heading-anchor" href="#Change-backend">Change backend</a><a id="Change-backend-1"></a><a class="docs-heading-anchor-permalink" href="#Change-backend" title="Permalink"></a></h3><p>Once an instance of an <code>ADNLPModel</code> has been created, it is possible to change the backends without re-instantiating the model.</p><pre><code class="language-julia hljs">using ADNLPModels, NLPModels
+ 0.5725675231846367
+ 0.15362913969968717
+ 0.10798488144143781</code></pre><h3 id="Change-backend"><a class="docs-heading-anchor" href="#Change-backend">Change backend</a><a id="Change-backend-1"></a><a class="docs-heading-anchor-permalink" href="#Change-backend" title="Permalink"></a></h3><p>Once an instance of an <code>ADNLPModel</code> has been created, it is possible to change the backends without re-instantiating the model.</p><pre><code class="language-julia hljs">using ADNLPModels, NLPModels
 f(x) = 100 * (x[2] - x[1]^2)^2 + (x[1] - 1)^2
 x0 = 3 * ones(2)
 nlp = ADNLPModel(f, x0)
@@ -128,10 +128,10 @@
            jhess: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0               jhprod: ⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅ 0     
 </code></pre><p>Then, the gradient will return a vector of <code>Float64</code>.</p><pre><code class="language-julia hljs">x64 = rand(2)
 grad(nlp, x64)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">2-element Vector{Float64}:
-  177.96089840214142
- -103.11263573333831</code></pre><p>It is now possible to move to a different type, for instance <code>Float32</code>, while keeping the instance <code>nlp</code>.</p><pre><code class="language-julia hljs">x0_32 = ones(Float32, 2)
+ 185.4940679728348
+ -94.25714259647862</code></pre><p>It is now possible to move to a different type, for instance <code>Float32</code>, while keeping the instance <code>nlp</code>.</p><pre><code class="language-julia hljs">x0_32 = ones(Float32, 2)
 set_adbackend!(nlp, gradient_backend = ADNLPModels.ForwardDiffADGradient, x0 = x0_32)
 x32 = rand(Float32, 2)
 grad(nlp, x32)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">2-element Vector{Float32}:
- -96.45436
- 169.44801</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../tutorial/">« Tutorial</a><a class="docs-footer-nextpage" href="../predefined/">Default backends »</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="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Tuesday 9 July 2024 11:18">Tuesday 9 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+ -105.81066
+  107.56512</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../tutorial/">« Tutorial</a><a class="docs-footer-nextpage" href="../predefined/">Default backends »</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="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Tuesday 9 July 2024 11:19">Tuesday 9 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

dev/generic/index.html

@@ -1,2 +1,2 @@
 <!DOCTYPE html>
-<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>Support multiple precision · ADNLPModels.jl</title><script data-outdated-warner src="../assets/warner.js"></script><link href="https://cdnjs.cloudflare.com/ajax/libs/lato-font/3.0.0/css/lato-font.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/juliamono/0.045/juliamono.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.13.24/katex.min.css" rel="stylesheet" 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action="../search/"><input class="docs-search-query" id="documenter-search-query" name="q" type="text" placeholder="Search docs"/></form><ul class="docs-menu"><li><a class="tocitem" href="../">Home</a></li><li><a class="tocitem" href="../tutorial/">Tutorial</a></li><li><a class="tocitem" href="../backend/">Backend</a></li><li><a class="tocitem" href="../predefined/">Default backends</a></li><li><a class="tocitem" href="../mixed/">Build a hybrid NLPModel</a></li><li class="is-active"><a class="tocitem" href>Support multiple precision</a></li><li><a class="tocitem" href="../sparse/">Sparse Jacobian and Hessian</a></li><li><a class="tocitem" href="../performance/">Performance tips</a></li><li><a class="tocitem" href="../reference/">Reference</a></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth 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class="docs-heading-anchor" href="#Creating-an-ADNLPModels-backend-that-supports-multiple-precisions">Creating an ADNLPModels backend that supports multiple precisions</a><a id="Creating-an-ADNLPModels-backend-that-supports-multiple-precisions-1"></a><a class="docs-heading-anchor-permalink" href="#Creating-an-ADNLPModels-backend-that-supports-multiple-precisions" title="Permalink"></a></h1><ul><li><a href="#Creating-an-ADNLPModels-backend-that-supports-multiple-precisions">Creating an ADNLPModels backend that supports multiple precisions</a></li></ul><p>You can check the tutorial <a href="https://jso.dev/tutorials/generic-adnlpmodels/">Creating an ADNLPModels backend that supports multiple precisions</a> on our site, <a href="https://jso.dev">jso.dev</a>.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../mixed/">« Build a hybrid NLPModel</a><a class="docs-footer-nextpage" href="../sparse/">Sparse Jacobian and Hessian »</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="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Tuesday 9 July 2024 11:18">Tuesday 9 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>Support multiple precision · ADNLPModels.jl</title><script data-outdated-warner src="../assets/warner.js"></script><link href="https://cdnjs.cloudflare.com/ajax/libs/lato-font/3.0.0/css/lato-font.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/juliamono/0.045/juliamono.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.13.24/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL=".."</script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js" data-main="../assets/documenter.js"></script><script src="../siteinfo.js"></script><script src="../../versions.js"></script><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-dark.css" data-theme-name="documenter-dark" data-theme-primary-dark/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-light.css" data-theme-name="documenter-light" data-theme-primary/><script src="../assets/themeswap.js"></script><link href="../assets/style.css" rel="stylesheet" type="text/css"/></head><body><div id="documenter"><nav class="docs-sidebar"><a class="docs-logo" href="../"><img src="../assets/logo.png" alt="ADNLPModels.jl logo"/></a><div class="docs-package-name"><span class="docs-autofit"><a href="../">ADNLPModels.jl</a></span></div><form class="docs-search" action="../search/"><input class="docs-search-query" id="documenter-search-query" name="q" type="text" placeholder="Search docs"/></form><ul class="docs-menu"><li><a class="tocitem" href="../">Home</a></li><li><a class="tocitem" href="../tutorial/">Tutorial</a></li><li><a class="tocitem" href="../backend/">Backend</a></li><li><a class="tocitem" href="../predefined/">Default backends</a></li><li><a class="tocitem" href="../mixed/">Build a hybrid NLPModel</a></li><li class="is-active"><a class="tocitem" href>Support multiple precision</a></li><li><a class="tocitem" href="../sparse/">Sparse Jacobian and Hessian</a></li><li><a class="tocitem" href="../performance/">Performance tips</a></li><li><a class="tocitem" href="../reference/">Reference</a></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li class="is-active"><a href>Support multiple precision</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>Support multiple precision</a></li></ul></nav><div class="docs-right"><a class="docs-edit-link" href="https://github.com/JuliaSmoothOptimizers/ADNLPModels.jl/blob/main/docs/src/generic.md" title="Edit on GitHub"><span class="docs-icon fab"></span><span class="docs-label is-hidden-touch">Edit on GitHub</span></a><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article class="content" id="documenter-page"><h1 id="Creating-an-ADNLPModels-backend-that-supports-multiple-precisions"><a class="docs-heading-anchor" href="#Creating-an-ADNLPModels-backend-that-supports-multiple-precisions">Creating an ADNLPModels backend that supports multiple precisions</a><a id="Creating-an-ADNLPModels-backend-that-supports-multiple-precisions-1"></a><a class="docs-heading-anchor-permalink" href="#Creating-an-ADNLPModels-backend-that-supports-multiple-precisions" title="Permalink"></a></h1><ul><li><a href="#Creating-an-ADNLPModels-backend-that-supports-multiple-precisions">Creating an ADNLPModels backend that supports multiple precisions</a></li></ul><p>You can check the tutorial <a href="https://jso.dev/tutorials/generic-adnlpmodels/">Creating an ADNLPModels backend that supports multiple precisions</a> on our site, <a href="https://jso.dev">jso.dev</a>.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../mixed/">« Build a hybrid NLPModel</a><a class="docs-footer-nextpage" href="../sparse/">Sparse Jacobian and Hessian »</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="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Tuesday 9 July 2024 11:19">Tuesday 9 July 2024</span>. Using Julia version 1.10.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>