Sequential program for fixed R value (in C++)

DISCLAIMER:
All programs on these pages were made by Linda Stougaard Nielsen for personal use. Use at own risk - no guarantees given!
C++ library ppunfix5.h for point processes in 1-3D product sets
Brief introduction to point processes
Back to overview Parallel programming and Visualization project

 

The expected number of points and neighbours, E,,R n(X) and E,,R s(X;R), were calculated for R=0.05 fixed and for various values of (,) in a grid.

Initial experiments showed following:

Program for estimating the means in the (,) grid: estimate_means.cpp (uses the C++ library ppunfix5.h)

The predicted values of the means were computed in the same (,) grid points using loess with parameters =0.1 and =2.

We now have 'observed' means and predicted means in each (,) grid point. Furthermore we have observed the CPU times computing the means in each grid points (1.2 GHz AMD Athlon Thunderbird processor and 256 Mb RAM running under Red Hat Linux 7.1). Not surprisingly is the CPU time linear increasing in E,,R n(X).

The data can be found in the file data where the columns contain (,, E,,R n(X), E,,R s(X;R), CPU time, loess-pred(E,,R n(X)), loess-pred(E,,R s(X;R)))

 

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This page was last modified on September 28th 2001