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diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html
index 87913685..d39caf12 100644
--- a/docs/articles/compiled_models.html
+++ b/docs/articles/compiled_models.html
@@ -54,7 +54,7 @@
<h1>Performance benefit by using compiled model definitions in mkin</h1>
<h4 class="author">Johannes Ranke</h4>
- <h4 class="date">2016-11-18</h4>
+ <h4 class="date">2016-12-08</h4>
</div>
@@ -91,21 +91,21 @@ 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 6126.4954 6152.1764 6170.8152 6177.8573 6192.9751
-## Eigenvalue based 864.8441 891.7069 902.0212 918.5697 920.6098
-## deSolve, compiled 706.9115 711.1015 714.9195 715.2915 718.9235
+## deSolve, not compiled 6263.2932 6273.5107 6286.8574 6283.7283 6298.6394
+## Eigenvalue based 865.5257 872.4146 892.2705 879.3036 905.6429
+## deSolve, compiled 716.7534 717.9075 724.6869 719.0617 728.6537
## max neval cld
-## 6208.0929 3 c
-## 922.6498 3 b
-## 722.5556 3 a</code></pre>
+## 6313.5506 3 c
+## 931.9821 3 b
+## 738.2457 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 8.6 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>
+<p>We see that using the compiled model is by a factor of 8.7 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 8.636839
-## Eigenvalue based 1.284189
+## deSolve, not compiled 8.738789
+## Eigenvalue based 1.222849
## deSolve, compiled 1.000000</code></pre>
</div>
<div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -127,18 +127,18 @@ 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 13.163796 13.205491 13.478255 13.247187 13.635484
-## deSolve, compiled 1.267154 1.268198 1.272722 1.269242 1.275506
+## deSolve, not compiled 13.487097 13.492149 13.528060 13.497201 13.548541
+## deSolve, compiled 1.307845 1.318979 1.322967 1.330114 1.330528
## max neval cld
-## 14.023782 3 b
-## 1.281771 3 a</code></pre>
+## 13.599881 3 b
+## 1.330941 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
## 2 NA</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">autoplot</span>(mb<span class="fl">.2</span>)</code></pre></div>
<p><img src="compiled_models_files/figure-html/benchmark_FOMC_SFO-1.png" width="672"></p>
-<p>Here we get a performance benefit of a factor of 10.4 using the version of the differential equation model compiled from C code!</p>
+<p>Here we get a performance benefit of a factor of 10.1 using the version of the differential equation model compiled from C code!</p>
<p>This vignette was built with mkin 0.9.44.9000 on</p>
<pre><code>## R version 3.3.2 (2016-10-31)
## Platform: x86_64-pc-linux-gnu (64-bit)

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