Description Usage Arguments Value Author(s) See Also

Produces a normalized design and calculates the minimal distance
if required.
A design is a matrix with `dim`

columns and `size`

rows.
Distance can be calculated with respect to a fixed, nested design.

1 2 3 4 5 6 7 | ```
designLHDNorm(
dim,
size,
calcMinDistance = FALSE,
nested = NULL,
inequalityConstraint = NULL
)
``` |

`dim` |
number, dimension of the problem (will be no. of columns of the result matrix) |

`size` |
number of points with that dimension needed. (will be no. of rows of the result matrix). |

`calcMinDistance` |
Boolean to indicate whether a minimal distance should be calculated. |

`nested` |
nested design to be considered during distance calculation. |

`inequalityConstraint` |
inequality constraint function, smaller zero for infeasible points. Used to replace infeasible points with random points. Has to evaluate points in interval [0;1]. |

list `L`

- `L`

consists of a matrix `L$design`

and (if required) a minimal distance `L$minDistance`

Original code by Christian Lasarczyk, adaptations by Martin Zaefferer

This function is used as a basis for `designLHD`

.

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