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authorJohannes Ranke <jranke@uni-bremen.de>2015-06-26 16:38:15 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2015-06-26 16:38:15 +0200
commite3fa9f6d27369abcbbc6045a9a7b40c2b17c122e (patch)
tree0092f4a4a55e715592cf209a95bc17b2d3a5a7c7 /vignettes/compiled_models.html
parent8b272c47c858a4bad5aff94aa005a4efe75ca1d6 (diff)
Vignettes rebuilt by staticdocs::build_site() for static documentation on r-forgev0.9-39
Diffstat (limited to 'vignettes/compiled_models.html')
-rw-r--r--vignettes/compiled_models.html32
1 files changed, 16 insertions, 16 deletions
diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html
index a62f3826..a8f6e3ef 100644
--- a/vignettes/compiled_models.html
+++ b/vignettes/compiled_models.html
@@ -99,18 +99,18 @@ smb.1 &lt;- summary(mb.1)[-1]
rownames(smb.1) &lt;- c(&quot;deSolve, not compiled&quot;, &quot;Eigenvalue based&quot;, &quot;deSolve, compiled&quot;)
print(smb.1)</code></pre>
<pre><code>## min lq mean median uq
-## deSolve, not compiled 7047.6039 7083.3201 7123.5962 7119.0364 7161.5924
-## Eigenvalue based 901.5593 924.3357 968.8689 947.1121 1002.5238
-## deSolve, compiled 765.7604 770.7657 786.8638 775.7709 797.4156
+## deSolve, not compiled 6767.3728 6834.5128 6879.5969 6901.6528 6935.7090
+## Eigenvalue based 977.5545 1161.8591 1225.1262 1346.1637 1348.9120
+## deSolve, compiled 761.0689 761.8958 772.3379 762.7228 777.9724
## max neval
-## deSolve, not compiled 7204.1483 3
-## Eigenvalue based 1057.9355 3
-## deSolve, compiled 819.0602 3</code></pre>
-<p>We see that using the compiled model is by a factor of 9.2 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>
+## deSolve, not compiled 6969.7653 3
+## Eigenvalue based 1351.6603 3
+## deSolve, compiled 793.2221 3</code></pre>
+<p>We see that using the compiled model is by a factor of 9 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>
<pre class="r"><code>smb.1[&quot;median&quot;]/smb.1[&quot;deSolve, compiled&quot;, &quot;median&quot;]</code></pre>
<pre><code>## median
-## deSolve, not compiled 9.176725
-## Eigenvalue based 1.220866
+## deSolve, not compiled 9.048704
+## Eigenvalue based 1.764945
## deSolve, compiled 1.000000</code></pre>
</div>
<div id="benchmark-for-a-model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -128,16 +128,16 @@ smb.2 &lt;- summary(mb.2)[-1]
rownames(smb.2) &lt;- c(&quot;deSolve, not compiled&quot;, &quot;deSolve, compiled&quot;)
print(smb.2)</code></pre>
<pre><code>## min lq mean median uq
-## deSolve, not compiled 14.080456 14.209689 14.287313 14.338922 14.390742
-## deSolve, compiled 1.467266 1.521451 1.555168 1.575636 1.599119
+## deSolve, not compiled 14.161917 14.189080 14.201763 14.216243 14.221687
+## deSolve, compiled 1.358691 1.366613 1.393306 1.374535 1.410614
## max neval
-## deSolve, not compiled 14.442561 3
-## deSolve, compiled 1.622601 3</code></pre>
+## deSolve, not compiled 14.227131 3
+## deSolve, compiled 1.446693 3</code></pre>
<pre class="r"><code>smb.2[&quot;median&quot;]/smb.2[&quot;deSolve, compiled&quot;, &quot;median&quot;]</code></pre>
<pre><code>## median
-## deSolve, not compiled 9.100402
-## deSolve, compiled 1.000000</code></pre>
-<p>Here we get a performance benefit of a factor of 9.1 using the version of the differential equation model compiled from C code using the inline package!</p>
+## deSolve, not compiled 10.34258
+## deSolve, compiled 1.00000</code></pre>
+<p>Here we get a performance benefit of a factor of 10.3 using the version of the differential equation model compiled from C code using the inline package!</p>
<p>This vignette was built with mkin 0.9.39 on</p>
<pre><code>## R version 3.2.1 (2015-06-18)
## Platform: x86_64-pc-linux-gnu (64-bit)

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