repairConditionsDistanceMatrix: Repair Conditions of a Distance Matrix
In CEGO: Combinatorial Efficient Global Optimization

Description Usage Arguments Value References See Also Examples

This function repairs distance matrices, so that the following two properties are ensured: The distance values should be non-zero and the diagonal should be zero. Other properties (conditionally negative semi-definitene (CNSD), symmetric) are assumed to be given.

1	repairConditionsDistanceMatrix(mat)

mat

symmetric, CNSD distance matrix. If your matrix is not CNSD, use correctionCNSD first. Or use correctionDistanceMatrix.

repaired distance matrix

Martin Zaefferer and Thomas Bartz-Beielstein. (2016). Efficient Global Optimization with Indefinite Kernels. Parallel Problem Solving from Nature-PPSN XIV. Accepted, in press. Springer.

correctionDefinite, correctionDistanceMatrix, correctionKernelMatrix, correctionCNSD, repairConditionsCorrelationMatrix

x <- list(c(2,1,4,3),c(2,4,3,1),c(4,2,1,3),c(4,3,2,1),c(1,4,3,2))
D <- distanceMatrix(x,distancePermutationInsert)
D <- correctionCNSD(D)
D
D <- repairConditionsDistanceMatrix(D)
D