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authorJohannes Ranke <jranke@uni-bremen.de>2016-12-08 09:39:33 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2016-12-08 09:39:33 +0100
commit2456ec2a62c339dde849d343792d25a235a29175 (patch)
treee19febc3faf9ffa478eda59d58e03dd8646f8ece /docs/articles/compiled_models.html
parente572085a1aff80f38647e2391a46476ccc884564 (diff)
Static documentation articles rebuilt by pkgdown::build_articles()
Diffstat (limited to 'docs/articles/compiled_models.html')
-rw-r--r--docs/articles/compiled_models.html28
1 files changed, 14 insertions, 14 deletions
diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html
index 660af1d1..457f5a1d 100644
--- a/docs/articles/compiled_models.html
+++ b/docs/articles/compiled_models.html
@@ -99,21 +99,21 @@ 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 5006.3815 5014.4629 5112.7115 5022.5443 5165.8765
-## Eigenvalue based 840.3027 874.3549 892.0593 908.4071 917.9376
-## deSolve, compiled 706.9909 712.8031 723.4380 718.6154 731.6615
+## deSolve, not compiled 5185.0893 5231.5690 5266.8769 5278.0487 5307.7706
+## Eigenvalue based 843.3153 847.1503 876.5398 850.9853 893.1520
+## deSolve, compiled 723.0636 740.5682 755.9995 758.0729 772.4674
## max neval cld
-## 5309.2087 3 b
-## 927.4680 3 a
-## 744.7077 3 a</code></pre>
+## 5337.4926 3 b
+## 935.3187 3 a
+## 786.8620 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 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 6.989197
-## Eigenvalue based 1.264108
+## deSolve, not compiled 6.962456
+## Eigenvalue based 1.122564
## deSolve, compiled 1.000000</code></pre>
</div>
<div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -134,19 +134,19 @@ smb<span class="fl">.1</span>[<span class="st">"median"</span>]/smb<span class="
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">smb<span class="fl">.2</span> &lt;-<span class="st"> </span><span class="kw">summary</span>(mb<span class="fl">.2</span>)
<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 11.015990 11.17783 11.24827 11.339674 11.364403
-## deSolve, compiled 1.285264 1.29794 1.32988 1.310616 1.352189
+## expr min lq mean median uq
+## deSolve, not compiled 10.963655 10.992677 11.033360 11.02170 11.068212
+## deSolve, compiled 1.287898 1.309754 1.322972 1.33161 1.340509
## max neval cld
-## 11.389132 3 b
-## 1.393762 3 a</code></pre>
+## 11.114726 3 b
+## 1.349408 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 8.7 using the version of the differential equation model compiled from C code!</p>
+<p>Here we get a performance benefit of a factor of 8.3 using the version of the differential equation model compiled from C code!</p>
<p>This vignette was built with mkin 0.9.45 on</p>
<pre><code>## R version 3.3.2 (2016-10-31)
## Platform: x86_64-pc-linux-gnu (64-bit)

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