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authorJohannes Ranke <jranke@uni-bremen.de>2015-06-22 20:47:13 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2015-06-22 20:47:13 +0200
commit97725f51ad869b7338208c19c33c8fbf5db29d18 (patch)
tree87b2133eddef1fcc0691a706953d6e4e0d88bdd0 /vignettes/compiled_models.html
parent01d9de6ff165c64ffc4366f2eeb3d2649b5c74c0 (diff)
Vignettes rebuilt by staticdocs::build_site() for r-forge
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 fc71debe..ed61b47a 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 5379.4269 5431.6605 5455.0396 5483.8940 5492.8460
-## Eigenvalue based 930.6245 951.6701 959.4653 972.7157 973.8857
-## deSolve, compiled 755.9828 771.1000 794.1810 786.2172 813.2800
+## deSolve, not compiled 6585.7039 6651.4937 6685.6248 6717.2836 6735.5853
+## Eigenvalue based 971.2893 981.5618 998.2746 991.8344 1011.7673
+## deSolve, compiled 760.5522 765.4274 780.3243 770.3026 790.2103
## max neval
-## deSolve, not compiled 5501.7979 3
-## Eigenvalue based 975.0556 3
-## deSolve, compiled 840.3428 3</code></pre>
-<p>We see that using the compiled model is by a factor of 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>
+## deSolve, not compiled 6753.8871 3
+## Eigenvalue based 1031.7003 3
+## deSolve, compiled 810.1179 3</code></pre>
+<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>
<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 6.975037
-## Eigenvalue based 1.237210
+## deSolve, not compiled 8.720318
+## Eigenvalue based 1.287591
## deSolve, compiled 1.000000</code></pre>
</div>
<div id="benchmark-for-a-model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -127,17 +127,17 @@ print(smb.1)</code></pre>
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 11.815894 11.84960 12.03290 11.883305 12.141404
-## deSolve, compiled 1.387086 1.43514 1.45956 1.483194 1.495796
+<pre><code>## min lq mean median uq
+## deSolve, not compiled 14.271472 14.285039 14.303450 14.298607 14.319440
+## deSolve, compiled 1.350642 1.390549 1.412823 1.430456 1.443914
## max neval
-## deSolve, not compiled 12.399502 3
-## deSolve, compiled 1.508399 3</code></pre>
+## deSolve, not compiled 14.340272 3
+## deSolve, compiled 1.457372 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 8.011968
+## deSolve, not compiled 9.995841
## deSolve, compiled 1.000000</code></pre>
-<p>Here we get a performance benefit of a factor of 8 using the version of the differential equation model compiled from C code using the inline package!</p>
+<p>Here we get a performance benefit of a factor of 10 using the version of the differential equation model compiled from C code using the inline package!</p>
<p>This vignette was built with mkin 0.9.37 on</p>
<pre><code>## R version 3.2.1 (2015-06-18)
## Platform: x86_64-pc-linux-gnu (64-bit)

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