From c58ccd73951b2000a7a254fb36bbd9f0733db6cd Mon Sep 17 00:00:00 2001
From: Johannes Ranke
## test replications relative elapsed
-## 4 analytical 1 1.000 0.105
-## 3 deSolve, compiled 1 1.333 0.140
-## 2 Eigenvalue based 1 1.667 0.175
-## 1 deSolve, not compiled 1 22.486 2.361
+## 4 analytical 1 1.000 0.111
+## 3 deSolve, compiled 1 1.270 0.141
+## 2 Eigenvalue based 1 1.658 0.184
+## 1 deSolve, not compiled 1 21.973 2.439
We see that using the compiled model is by more than a factor of 10 faster than using deSolve without compiled code.
@@ -195,12 +195,12 @@ compiled code is available. }## Temporary DLL for differentials generated and loaded
## test replications relative elapsed
-## 2 deSolve, compiled 1 1.000 0.175
-## 1 deSolve, not compiled 1 23.937 4.189
+## 2 deSolve, compiled 1 1.000 0.182
+## 1 deSolve, not compiled 1 23.808 4.333
Here we get a performance benefit of a factor of 24 using the version of the differential equation model compiled from C code!
-This vignette was built with mkin 1.2.9 on
-## R version 4.4.2 (2024-10-31)
+This vignette was built with mkin 1.2.10 on
+## R version 4.5.0 (2025-04-11)
## Platform: x86_64-pc-linux-gnu
## Running under: Debian GNU/Linux 12 (bookworm)
## CPU model: AMD Ryzen 9 7950X 16-Core Processor
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