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-rw-r--r--docs/articles/compiled_models.html28
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diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html
index 1446a357..ce149bc5 100644
--- a/docs/articles/compiled_models.html
+++ b/docs/articles/compiled_models.html
@@ -41,7 +41,7 @@
<h1>Performance benefit by using compiled model definitions in mkin</h1>
<h4 class="author">Johannes Ranke</h4>
- <h4 class="date">2016-11-17</h4>
+ <h4 class="date">2016-11-18</h4>
</div>
@@ -78,21 +78,21 @@ mb<span class="fl">.1</span> &lt;-<span class="st"> </span><span class="kw">micr
<span class="kw">print</span>(mb<span class="fl">.1</span>)</code></pre></div>
<pre><code>## Unit: milliseconds
## expr min lq mean median uq
-## deSolve, not compiled 6251.2433 6291.2435 6315.5160 6331.2438 6347.6524
-## Eigenvalue based 858.2035 903.1770 926.2132 948.1505 960.2181
-## deSolve, compiled 721.0067 739.1361 745.9964 757.2656 758.4913
+## deSolve, not compiled 6341.1795 6363.5977 6373.7748 6386.0158 6390.0724
+## Eigenvalue based 907.1699 908.8498 921.8335 910.5297 929.1653
+## deSolve, compiled 747.5311 752.3718 754.2086 757.2125 757.5474
## max neval cld
-## 6364.0611 3 c
-## 972.2856 3 b
-## 759.7171 3 a</code></pre>
+## 6394.1290 3 c
+## 947.8008 3 b
+## 757.8823 3 a</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(mb<span class="fl">.1</span>)</code></pre></div>
<p><img src="compiled_models_files/figure-html/benchmark_SFO_SFO-1.png" width="672"></p>
<p>We see that using the compiled model is by a factor of 8.4 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs:</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">rownames</span>(smb<span class="fl">.1</span>) &lt;-<span class="st"> </span>smb<span class="fl">.1</span>$expr
smb<span class="fl">.1</span>[<span class="st">"median"</span>]/smb<span class="fl">.1</span>[<span class="st">"deSolve, compiled"</span>, <span class="st">"median"</span>]</code></pre></div>
<pre><code>## median
-## deSolve, not compiled 8.360665
-## Eigenvalue based 1.252071
+## deSolve, not compiled 8.433585
+## Eigenvalue based 1.202476
## deSolve, compiled 1.000000</code></pre>
</div>
<div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -114,11 +114,11 @@ smb<span class="fl">.1</span>[<span class="st">"median"</span>]/smb<span class="
<span class="kw">print</span>(mb<span class="fl">.2</span>)</code></pre></div>
<pre><code>## Unit: seconds
## expr min lq mean median uq
-## deSolve, not compiled 13.601046 13.602861 13.619563 13.604676 13.628821
-## deSolve, compiled 1.341581 1.346263 1.348298 1.350944 1.351657
-## max neval cld
-## 13.65297 3 b
-## 1.35237 3 a</code></pre>
+## deSolve, not compiled 13.214250 13.248908 13.384577 13.283565 13.469740
+## deSolve, compiled 1.303868 1.307484 1.332879 1.311099 1.347384
+## max neval cld
+## 13.655915 3 b
+## 1.383669 3 a</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">smb<span class="fl">.2</span>[<span class="st">"median"</span>]/smb<span class="fl">.2</span>[<span class="st">"deSolve, compiled"</span>, <span class="st">"median"</span>]</code></pre></div>
<pre><code>## median
## 1 NA

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