LATIN_RANDOM
Latin Random Squares in M dimensions

LATIN_RANDOM is a set of MATLAB routines for making Latin Random Squares.

A Latin square is a selection of one point from each row and column of a square matrix or table. In M dimensions, the corresponding item is a set of N points, where, in each dimension, there is exactly one point whose coordinates are in a given "column" or range of values. To emphasize the use of higher dimensions, these objects are sometimes called Latin hypersquares.

A Latin Random Square (I just made up this name) is a set of N points, where one point is taken at random from each of the subsquares of a Latin Square. These points may be regarded as an M dimensional quasirandom pointset.

Here is an image of a Latin random grid with spatial dimension M = 2 and number of points N = 10.

Related Data and Programs:

CVT is a MATLAB library of routines which computes elements of a Centroidal Voronoi Tessellation.

FAURE is a MATLAB library of routines which computes elements of a Faure quasirandom sequence.

GRID is a MATLAB library of routines which computes elements of a grid dataset.

HALTON is a MATLAB library of routines which computes elements of a Halton quasirandom sequence.

HAMMERSLEY is a MATLAB library of routines which computes elements of a Hammersley quasirandom sequence.

HEX_GRID is a MATLAB library of routines which computes elements of a hexagonal grid dataset.

IHS is a MATLAB library of routines which computes elements of an improved distributed Latin hypercube dataset.

LATIN_CENTER is a MATLAB library of routines which computes elements of a Latin Hypercube dataset, choosing center points.

LATIN_EDGE is a MATLAB library of routines which computes elements of a Latin Hypercube dataset, choosing edge points.

LATIN_RANDOM is also available in a C++ version. and a FORTRAN90 version.

LATIN_RANDOM is a dataset directory which contains a number of examples of datasets created by LATIN_RANDOM.

LCVT is a MATLAB library of routines which computes a latinized Centroidal Voronoi Tessellation.

NIEDERREITER2 is a MATLAB library of routines which computes elements of a Niederreiter quasirandom sequence with base 2.

SOBOL is a MATLAB library of routines which computes elements of a Sobol quasirandom sequence.

UNIFORM is a MATLAB library of routines which computes elements of a uniform pseudorandom sequence.

VAN_DER_CORPUT is a MATLAB library of routines which computes elements of a van der Corput quasirandom sequence.

Reference:

1. Paul Bratley, Bennett Fox, Linus Schrage,
   A Guide to Simulation,
   Springer Verlag, pages 201-202, 1983.
2. C J Colbourn and J H Dinitz,
   CRC Handbook of Combinatorial Design,
   CRC, 1996.
3. Bennett Fox,
   Algorithm 647:
   Implementation and Relative Efficiency of Quasirandom Sequence Generators,
   ACM Transactions on Mathematical Software,
   Volume 12, Number 4, pages 362-376, 1986.
4. M D McKay, W J Conover, R J Beckman,
   A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code,
   Technometrics,
   Volume 21, pages 239-245, 1979.
5. Albert Nijenhuis and Herbert Wilf,
   Combinatorial Algorithms,
   Academic Press, 1978, second edition,
   ISBN 0-12-519260-6.
6. Herbert Ryser,
   Combinatorial Mathematics,
   Mathematical Association of America, 1963.

Source Code:

• get_seed.m, gets a seed for the random number generator.
• i4_uniform.m, returns a random integer in a given range.
• latin_random.m, returns points in a Latin square.
• perm_random.m, selects a random permutation of N objects.
• r8_uniform_01.m, a portable pseudorandom number generator.
• timestamp.m, prints the current YMDHMS date as a time stamp.

Examples and Tests:

• latin_random_test.m, runs all the tests.
• latin_random_test01.m, tests LATIN_RANDOM.
• latin_random_test.out, the output from the tests.

You can go up one level to the MATLAB source codes.