Files Posted by Tim 
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04 Feb 2013 

Truncated multivariate normal Generates pseudorandom vectors drawn from the truncated multivariate normal distribution.
Author: Tim Benham 
random, distribution, gaussian, normal, sample, multivariate 
31 
4 
5.0 
1 rating

13 Feb 2012 

Uniform distribution over a convex polytope Samples uniformly the interior of a convex polytope.
Author: Tim Benham 
polytope, random, uniform, uniform distribution, hit and run, achr 
21 
8 
5.0 
1 rating

08 Feb 2012 

Chebyshev Center and Radius Computes the Chebyshev center and Chebyshev radius of a polytope.
Author: Tim Benham 
polytope, polyhedron, chebyshev center 
12 
0 

21 Nov 2011 

Analytic Center Computes the analytic center of a set of linear equations.
Author: Tim Benham 
polytope, linear equations, analytic center, polyhedron 
7 
0 

04 May 2011 

Fast Kmeans Fast Kmeans implementation with optional weights and Kmeans++ style seeding.
Author: Tim Benham 
clustering, kmeans, weighted kmeans 
46 
5 
4.7 
3 ratings

Files Matching Tim's Watch List 
View all

Updated 

File 
Tags 
Downloads (last 30 days) 
Comments 
Rating 
04 Feb 2013 

Truncated multivariate normal Generates pseudorandom vectors drawn from the truncated multivariate normal distribution.
Author: Tim Benham 
random, distribution, gaussian, normal, sample, multivariate 
31 
4 
5.0 
1 rating

13 Feb 2012 

Uniform distribution over a convex polytope Samples uniformly the interior of a convex polytope.
Author: Tim Benham 
polytope, random, uniform, uniform distribution, hit and run, achr 
21 
8 
5.0 
1 rating

08 Feb 2012 

Chebyshev Center and Radius Computes the Chebyshev center and Chebyshev radius of a polytope.
Author: Tim Benham 
polytope, polyhedron, chebyshev center 
12 
0 

21 Nov 2011 

Analytic Center Computes the analytic center of a set of linear equations.
Author: Tim Benham 
polytope, linear equations, analytic center, polyhedron 
7 
0 

04 May 2011 

Fast Kmeans Fast Kmeans implementation with optional weights and Kmeans++ style seeding.
Author: Tim Benham 
clustering, kmeans, weighted kmeans 
46 
5 
4.7 
3 ratings


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