From 005a39e3f4413ae27d8334b8000abd1d25108a7a Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 23 Jun 2015 15:19:21 +0200 Subject: Vignettes rebuilt by staticdocs::build_site() for static documentation on r-forge --- vignettes/compiled_models.html | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) (limited to 'vignettes/compiled_models.html') diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html index a415c735..8d4c36a4 100644 --- a/vignettes/compiled_models.html +++ b/vignettes/compiled_models.html @@ -99,18 +99,18 @@ smb.1 <- summary(mb.1)[-1] rownames(smb.1) <- c("deSolve, not compiled", "Eigenvalue based", "deSolve, compiled") print(smb.1) 
##                             min        lq      mean    median        uq
-## deSolve, not compiled 6958.1752 7034.5639 7074.0173 7110.9526 7131.9383
-## Eigenvalue based       978.8821  988.5741 1012.6283  998.2660 1029.5014
-## deSolve, compiled      756.0280  767.9740  800.3639  779.9199  822.5318
+## deSolve, not compiled 6555.9044 6654.5464 6693.6732 6753.1885 6762.5577
+## Eigenvalue based       941.4496  949.4094  972.3045  957.3693  987.7320
+## deSolve, compiled      743.6684  756.3411  761.1512  769.0139  769.8926
 ##                             max neval
-## deSolve, not compiled 7152.9240     3
-## Eigenvalue based      1060.7367     3
-## deSolve, compiled      865.1437     3
-

We see that using the compiled model is by a factor of 9.1 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:

+## deSolve, not compiled 6771.9268 3 +## Eigenvalue based 1018.0946 3 +## deSolve, compiled 770.7713 3 +

We see that using the compiled model is by a factor of 8.8 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:

smb.1["median"]/smb.1["deSolve, compiled", "median"]
##                         median
-## deSolve, not compiled 9.117542
-## Eigenvalue based      1.279960
+## deSolve, not compiled 8.781621
+## Eigenvalue based      1.244931
 ## deSolve, compiled     1.000000
@@ -128,17 +128,17 @@ smb.2 <- summary(mb.2)[-1] rownames(smb.2) <- c("deSolve, not compiled", "deSolve, compiled") print(smb.2) 
##                             min        lq      mean    median        uq
-## deSolve, not compiled 14.586587 14.604167 14.614147 14.621747 14.627927
-## deSolve, compiled      1.428573  1.449463  1.459828  1.470352  1.475455
+## deSolve, not compiled 14.202106 14.342265 14.430352 14.482424 14.544475
+## deSolve, compiled      1.363102  1.367979  1.377016  1.372857  1.383973
 ##                             max neval
-## deSolve, not compiled 14.634107     3
-## deSolve, compiled      1.480558     3
+## deSolve, not compiled 14.606526 3 +## deSolve, compiled 1.395088 3 
smb.2["median"]/smb.2["deSolve, compiled", "median"]
##                         median
-## deSolve, not compiled 9.944383
-## deSolve, compiled     1.000000
-

Here we get a performance benefit of a factor of 9.9 using the version of the differential equation model compiled from C code using the inline package!

-

This vignette was built with mkin 0.9.37 on

+## deSolve, not compiled 10.54912 +## deSolve, compiled 1.00000 +

Here we get a performance benefit of a factor of 10.5 using the version of the differential equation model compiled from C code using the inline package!

+

This vignette was built with mkin 0.9.38 on

## R version 3.2.1 (2015-06-18)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
 ## Running under: Debian GNU/Linux 8 (jessie)
-- cgit v1.2.1