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-rw-r--r--vignettes/compiled_models.html15
1 files changed, 8 insertions, 7 deletions
diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html
index ee3347ca..30f29699 100644
--- a/vignettes/compiled_models.html
+++ b/vignettes/compiled_models.html
@@ -85,6 +85,7 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
<pre><code>## Loading required package: minpack.lm</code></pre>
<pre><code>## Loading required package: rootSolve</code></pre>
<pre><code>## Loading required package: inline</code></pre>
+<pre><code>## Loading required package: methods</code></pre>
<pre><code>## Loading required package: parallel</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">SFO_SFO &lt;-<span class="st"> </span><span class="kw">mkinmod</span>(
<span class="dt">parent =</span> <span class="kw">mkinsub</span>(<span class="st">&quot;SFO&quot;</span>, <span class="st">&quot;m1&quot;</span>),
@@ -109,14 +110,14 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
}</code></pre></div>
<pre><code>## Loading required package: rbenchmark</code></pre>
<pre><code>## test replications elapsed relative user.self sys.self
-## 3 deSolve, compiled 3 2.101 1.000 2.100 0.000
-## 1 deSolve, not compiled 3 25.685 12.225 25.600 0.088
-## 2 Eigenvalue based 3 2.729 1.299 2.728 0.000
+## 3 deSolve, compiled 3 2.140 1.000 2.140 0
+## 1 deSolve, not compiled 3 15.070 7.042 15.068 0
+## 2 Eigenvalue based 3 2.577 1.204 2.576 0
## user.child sys.child
## 3 0 0
## 1 0 0
## 2 0 0</code></pre>
-<p>We see that using the compiled model is by a factor of around 12 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 around 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>
<div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
<h2>Model that can not be solved with Eigenvalues</h2>
@@ -139,12 +140,12 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
}</code></pre></div>
<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre>
<pre><code>## test replications elapsed relative user.self sys.self
-## 2 deSolve, compiled 3 3.590 1.000 3.592 0.000
-## 1 deSolve, not compiled 3 51.219 14.267 51.028 0.192
+## 2 deSolve, compiled 3 3.646 1.000 3.644 0
+## 1 deSolve, not compiled 3 30.752 8.434 30.752 0
## user.child sys.child
## 2 0 0
## 1 0 0</code></pre>
-<p>Here we get a performance benefit of a factor of 14 using the version of the differential equation model compiled from C code!</p>
+<p>Here we get a performance benefit of a factor of 8 using the version of the differential equation model compiled from C code!</p>
<p>This vignette was built with mkin 0.9.45.2 on</p>
<pre><code>## R version 3.4.1 (2017-06-30)
## Platform: x86_64-pc-linux-gnu (64-bit)

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