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authorJohannes Ranke <jranke@uni-bremen.de>2016-11-04 17:14:02 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2016-11-04 17:14:02 +0100
commit4ff86dfb0f9180f2aa099908fa6ecba630483553 (patch)
tree411a327f2ec923eb687f41691a79372d0744c9bf /docs/articles/compiled_models.html
parent517d9378284bb4341c1bbce6716b89b341c8b61e (diff)
Static documentation rebuilt by pkgdown::build_site()
To also include the pkgdown articles
Diffstat (limited to 'docs/articles/compiled_models.html')
-rw-r--r--docs/articles/compiled_models.html26
1 files changed, 13 insertions, 13 deletions
diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html
index e1572b17..153841ae 100644
--- a/docs/articles/compiled_models.html
+++ b/docs/articles/compiled_models.html
@@ -78,21 +78,21 @@ 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 6326.4518 6378.7429 6476.2219 6431.0341 6551.1069
-## Eigenvalue based 925.7797 935.9924 939.8725 946.2051 946.9189
-## deSolve, compiled 740.2821 750.0017 767.8440 759.7212 781.6249
+## deSolve, not compiled 6282.2220 6293.7637 6323.0479 6305.3053 6343.4608
+## Eigenvalue based 873.2553 886.5949 903.6178 899.9345 918.7990
+## deSolve, compiled 737.7899 738.8794 752.3343 739.9689 759.6065
## max neval cld
-## 6671.1797 3 b
-## 947.6327 3 a
-## 803.5287 3 a</code></pre>
+## 6381.6162 3 c
+## 937.6634 3 b
+## 779.2441 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 8.5 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 8.464993
-## Eigenvalue based 1.245464
+## deSolve, not compiled 8.521041
+## Eigenvalue based 1.216179
## deSolve, compiled 1.000000</code></pre>
</div>
<div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -114,18 +114,18 @@ 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 13.619556 13.761382 13.825679 13.903207 13.928741
-## deSolve, compiled 1.316871 1.322577 1.358847 1.328283 1.379834
+## deSolve, not compiled 13.644880 13.648332 13.835874 13.651784 13.931372
+## deSolve, compiled 1.422381 1.448574 1.495091 1.474767 1.531446
## max neval cld
-## 13.954275 3 b
-## 1.431386 3 a</code></pre>
+## 14.210959 3 b
+## 1.588125 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 10.5 using the version of the differential equation model compiled from C code!</p>
+<p>Here we get a performance benefit of a factor of 9.3 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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