diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2015-06-23 12:24:10 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2015-06-23 12:24:10 +0200 |
| commit | b2aa7f7d6180edda1ac1ba4d8c3c3d364cbd3754 (patch) | |
| tree | d8e97dac4fc8941fb02784cf4fe3ca6479c09d55 /vignettes/compiled_models.html | |
| parent | 9aea634a324d567a2d99f22b5c6446c0afb2c83c (diff) | |
Vignettes rebuilt by staticdocs::build_site() for static documentation on r-forge
Diffstat (limited to 'vignettes/compiled_models.html')
| -rw-r--r-- | vignettes/compiled_models.html | 30 |
1 files changed, 15 insertions, 15 deletions
diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html index 814f3a52..2fbef8ae 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)</code></pre> <pre><code>## min lq mean median uq -## deSolve, not compiled 6650.2684 6684.4530 6774.1607 6718.6377 6836.1068 -## Eigenvalue based 903.5520 916.8598 927.3873 930.1676 939.3049 -## deSolve, compiled 751.1205 752.5239 756.1227 753.9273 758.6238 +## deSolve, not compiled 6760.8015 6766.0464 6785.8509 6771.2913 6798.3756 +## Eigenvalue based 930.9980 944.5895 973.5743 958.1810 994.8625 +## deSolve, compiled 758.2721 811.0584 836.3348 863.8448 875.3661 ## max neval -## deSolve, not compiled 6953.5760 3 -## Eigenvalue based 948.4423 3 -## deSolve, compiled 763.3202 3</code></pre> -<p>We see that using the compiled model is by a factor of 8.9 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> +## deSolve, not compiled 6825.4600 3 +## Eigenvalue based 1031.5439 3 +## deSolve, compiled 886.8875 3</code></pre> +<p>We see that using the compiled model is by a factor of 7.8 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:</p> <pre class="r"><code>smb.1["median"]/smb.1["deSolve, compiled", "median"]</code></pre> <pre><code>## median -## deSolve, not compiled 8.911519 -## Eigenvalue based 1.233763 +## deSolve, not compiled 7.838551 +## Eigenvalue based 1.109205 ## deSolve, compiled 1.000000</code></pre> </div> <div id="benchmark-for-a-model-that-can-not-be-solved-with-eigenvalues" class="section level2"> @@ -127,15 +127,15 @@ print(smb.1)</code></pre> smb.2 <- summary(mb.2)[-1] rownames(smb.2) <- c("deSolve, not compiled", "deSolve, compiled") print(smb.2)</code></pre> -<pre><code>## min lq mean median uq -## deSolve, not compiled 14.32061 14.336413 14.380847 14.352216 14.410966 -## deSolve, compiled 1.34366 1.344778 1.371116 1.345897 1.384844 +<pre><code>## min lq mean median uq +## deSolve, not compiled 14.231863 14.287058 14.336780 14.342252 14.389238 +## deSolve, compiled 1.344761 1.345452 1.361713 1.346142 1.370189 ## max neval -## deSolve, not compiled 14.469716 3 -## deSolve, compiled 1.423791 3</code></pre> +## deSolve, not compiled 14.436224 3 +## deSolve, compiled 1.394235 3</code></pre> <pre class="r"><code>smb.2["median"]/smb.2["deSolve, compiled", "median"]</code></pre> <pre><code>## median -## deSolve, not compiled 10.66368 +## deSolve, not compiled 10.65434 ## deSolve, compiled 1.00000</code></pre> <p>Here we get a performance benefit of a factor of 10.7 using the version of the differential equation model compiled from C code using the inline package!</p> <p>This vignette was built with mkin 0.9.37 on</p> |