diff options
Diffstat (limited to 'docs/articles/compiled_models.html')
| -rw-r--r-- | docs/articles/compiled_models.html | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html index 1eeb78c6..d2e1d87d 100644 --- a/docs/articles/compiled_models.html +++ b/docs/articles/compiled_models.html @@ -73,21 +73,21 @@ mb<span class="fl">.1</span> <-<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 6407.0333 6420.1971 6434.6510 6433.3609 6448.4598 -## Eigenvalue based 887.4338 891.8401 906.9270 896.2463 916.6735 -## deSolve, compiled 720.2433 727.8793 733.2019 735.5152 739.6812 +## deSolve, not compiled 6365.2773 6407.1609 6467.4083 6449.0446 6518.4738 +## Eigenvalue based 872.0339 912.6754 926.7178 953.3169 954.0597 +## deSolve, compiled 730.1252 740.7149 751.8881 751.3045 762.7695 ## max neval cld -## 6463.5587 3 c -## 937.1007 3 b -## 743.8472 3 a</code></pre> +## 6587.9031 3 b +## 954.8026 3 a +## 774.2345 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 8.7 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> +<p>We see that using the compiled model is by a factor of 8.6 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>) <-<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 8.746741 -## Eigenvalue based 1.218529 +## deSolve, not compiled 8.583796 +## Eigenvalue based 1.268882 ## deSolve, compiled 1.000000</code></pre> </div> <div id="benchmark-for-a-model-that-can-not-be-solved-with-eigenvalues" class="section level2"> @@ -108,12 +108,12 @@ 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> <-<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 13.501761 13.52142 13.697021 13.541086 13.794651 -## deSolve, compiled 1.359921 1.35996 1.366796 1.359999 1.370233 +## expr min lq mean median uq +## deSolve, not compiled 13.464194 13.498471 13.52712 13.532748 13.558577 +## deSolve, compiled 1.328628 1.342168 1.35224 1.355707 1.364046 ## max neval cld -## 14.048217 3 b -## 1.380468 3 a</code></pre> +## 13.584407 3 b +## 1.372385 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 |