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@@ -32,7 +32,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../../index.html">mkin</a>
- <span class="version label label-danger" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.3</span>
+ <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.3</span>
</span>
</div>
@@ -153,10 +153,10 @@
<span class="fu"><a href="https://rdrr.io/r/base/print.html">print</a></span>(<span class="st">"R package rbenchmark is not available"</span>)
}</pre></body></html></div>
<pre><code>## test replications relative elapsed
-## 4 analytical 1 1.000 0.202
-## 3 deSolve, compiled 1 1.703 0.344
-## 2 Eigenvalue based 1 1.990 0.402
-## 1 deSolve, not compiled 1 40.173 8.115</code></pre>
+## 4 analytical 1 1.000 0.201
+## 3 deSolve, compiled 1 1.711 0.344
+## 2 Eigenvalue based 1 1.960 0.394
+## 1 deSolve, not compiled 1 39.881 8.016</code></pre>
<p>We see that using the compiled model is by more than a factor of 10 faster than using deSolve without compiled code.</p>
</div>
<div id="model-without-analytical-solution" class="section level2">
@@ -182,8 +182,8 @@
}</pre></body></html></div>
<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre>
<pre><code>## test replications relative elapsed
-## 2 deSolve, compiled 1 1.000 0.469
-## 1 deSolve, not compiled 1 30.384 14.250</code></pre>
+## 2 deSolve, compiled 1 1.000 0.467
+## 1 deSolve, not compiled 1 30.244 14.124</code></pre>
<p>Here we get a performance benefit of a factor of 30 using the version of the differential equation model compiled from C code!</p>
<p>This vignette was built with mkin 0.9.50.3 on</p>
<pre><code>## R version 4.0.0 (2020-04-24)

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