diff options
Diffstat (limited to 'vignettes/compiled_models.html')
| -rw-r--r-- | vignettes/compiled_models.html | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html index ee3347ca..30f29699 100644 --- a/vignettes/compiled_models.html +++ b/vignettes/compiled_models.html @@ -85,6 +85,7 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf <pre><code>## Loading required package: minpack.lm</code></pre> <pre><code>## Loading required package: rootSolve</code></pre> <pre><code>## Loading required package: inline</code></pre> +<pre><code>## Loading required package: methods</code></pre> <pre><code>## Loading required package: parallel</code></pre> <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">SFO_SFO <-<span class="st"> </span><span class="kw">mkinmod</span>( <span class="dt">parent =</span> <span class="kw">mkinsub</span>(<span class="st">"SFO"</span>, <span class="st">"m1"</span>), @@ -109,14 +110,14 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf }</code></pre></div> <pre><code>## Loading required package: rbenchmark</code></pre> <pre><code>## test replications elapsed relative user.self sys.self -## 3 deSolve, compiled 3 2.101 1.000 2.100 0.000 -## 1 deSolve, not compiled 3 25.685 12.225 25.600 0.088 -## 2 Eigenvalue based 3 2.729 1.299 2.728 0.000 +## 3 deSolve, compiled 3 2.140 1.000 2.140 0 +## 1 deSolve, not compiled 3 15.070 7.042 15.068 0 +## 2 Eigenvalue based 3 2.577 1.204 2.576 0 ## user.child sys.child ## 3 0 0 ## 1 0 0 ## 2 0 0</code></pre> -<p>We see that using the compiled model is by a factor of around 12 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 around 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> <div id="model-that-can-not-be-solved-with-eigenvalues" class="section level2"> <h2>Model that can not be solved with Eigenvalues</h2> @@ -139,12 +140,12 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf }</code></pre></div> <pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre> <pre><code>## test replications elapsed relative user.self sys.self -## 2 deSolve, compiled 3 3.590 1.000 3.592 0.000 -## 1 deSolve, not compiled 3 51.219 14.267 51.028 0.192 +## 2 deSolve, compiled 3 3.646 1.000 3.644 0 +## 1 deSolve, not compiled 3 30.752 8.434 30.752 0 ## user.child sys.child ## 2 0 0 ## 1 0 0</code></pre> -<p>Here we get a performance benefit of a factor of 14 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 using the version of the differential equation model compiled from C code!</p> <p>This vignette was built with mkin 0.9.45.2 on</p> <pre><code>## R version 3.4.1 (2017-06-30) ## Platform: x86_64-pc-linux-gnu (64-bit) |