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authorJohannes Ranke <jranke@uni-bremen.de>2019-05-02 13:17:05 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-05-02 13:17:05 +0200
commit70591022c07f0e8fb4dd67789b7c8d78af8ebc18 (patch)
treeacaecfce5ae304cfc48b111c6db24a3f2ed5c83d /docs/articles/web_only/compiled_models.html
parent380a29e81f88cd80c9c6915200ddc7054c8a085a (diff)
Better initials for error model parameters
- Also make it possible to specify initial values for error model parameters. - Run tests - Rebuild docs
Diffstat (limited to 'docs/articles/web_only/compiled_models.html')
-rw-r--r--docs/articles/web_only/compiled_models.html18
1 files changed, 9 insertions, 9 deletions
diff --git a/docs/articles/web_only/compiled_models.html b/docs/articles/web_only/compiled_models.html
index 597b7c55..ee279f51 100644
--- a/docs/articles/web_only/compiled_models.html
+++ b/docs/articles/web_only/compiled_models.html
@@ -88,7 +88,7 @@
<h1>Performance benefit by using compiled model definitions in mkin</h1>
<h4 class="author">Johannes Ranke</h4>
- <h4 class="date">2019-04-10</h4>
+ <h4 class="date">2019-05-02</h4>
<div class="hidden name"><code>compiled_models.Rmd</code></div>
@@ -163,14 +163,14 @@
## Warning in mkinfit(SFO_SFO, FOCUS_2006_D, solution_type = "deSolve", quiet
## = TRUE): Observations with value of zero were removed from the data</code></pre>
<pre><code>## test replications elapsed relative user.self sys.self
-## 3 deSolve, compiled 3 3.215 1.000 3.213 0
-## 1 deSolve, not compiled 3 42.468 13.209 42.445 0
-## 2 Eigenvalue based 3 4.666 1.451 4.663 0
+## 3 deSolve, compiled 3 3.178 1.000 3.176 0
+## 1 deSolve, not compiled 3 28.700 9.031 28.685 0
+## 2 Eigenvalue based 3 4.401 1.385 4.398 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 13 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 9 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 class="hasAnchor">
@@ -214,14 +214,14 @@
## Warning in mkinfit(FOMC_SFO, FOCUS_2006_D, quiet = TRUE): Observations with
## value of zero were removed from the data</code></pre>
<pre><code>## test replications elapsed relative user.self sys.self
-## 2 deSolve, compiled 3 4.906 1.000 4.902 0
-## 1 deSolve, not compiled 3 70.459 14.362 70.421 0
+## 2 deSolve, compiled 3 4.549 1.000 4.547 0
+## 1 deSolve, not compiled 3 49.752 10.937 49.729 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 11 using the version of the differential equation model compiled from C code!</p>
<p>This vignette was built with mkin 0.9.49.4 on</p>
-<pre><code>## R version 3.5.3 (2019-03-11)
+<pre><code>## R version 3.6.0 (2019-04-26)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux 9 (stretch)</code></pre>
<pre><code>## CPU model: AMD Ryzen 7 1700 Eight-Core Processor</code></pre>

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