From f26d5082604402de3604e494e30fe5a2f030aca3 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 27 May 2020 07:57:10 +0200 Subject: Change dev version label to info color instead of the orange danger color. --- docs/dev/articles/web_only/compiled_models.html | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) (limited to 'docs/dev/articles/web_only/compiled_models.html') diff --git a/docs/dev/articles/web_only/compiled_models.html b/docs/dev/articles/web_only/compiled_models.html index 7b5dc8ca..997e90ea 100644 --- a/docs/dev/articles/web_only/compiled_models.html +++ b/docs/dev/articles/web_only/compiled_models.html @@ -32,7 +32,7 @@ mkin - 0.9.50.3 + 0.9.50.3 @@ -153,10 +153,10 @@ print("R package rbenchmark is not available") } 
##                    test replications relative elapsed
-## 4            analytical            1    1.000   0.202
-## 3     deSolve, compiled            1    1.703   0.344
-## 2      Eigenvalue based            1    1.990   0.402
-## 1 deSolve, not compiled            1   40.173   8.115
+## 4 analytical 1 1.000 0.201 +## 3 deSolve, compiled 1 1.711 0.344 +## 2 Eigenvalue based 1 1.960 0.394 +## 1 deSolve, not compiled 1 39.881 8.016

We see that using the compiled model is by more than a factor of 10 faster than using deSolve without compiled code.

@@ -182,8 +182,8 @@ }
## Successfully compiled differential equation model from auto-generated C code.
##                    test replications relative elapsed
-## 2     deSolve, compiled            1    1.000   0.469
-## 1 deSolve, not compiled            1   30.384  14.250
+## 2 deSolve, compiled 1 1.000 0.467 +## 1 deSolve, not compiled 1 30.244 14.124

Here we get a performance benefit of a factor of 30 using the version of the differential equation model compiled from C code!

This vignette was built with mkin 0.9.50.3 on

## R version 4.0.0 (2020-04-24)
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