Constructing space-filling designs using an adaptive WSP algorithm for spaces with constraints

Not all phenomena can be studied using standard experimental designs. Indeed, non-linear phenomena require experimental designs to cover the whole variable space in a reasonable number of experiments. Space-filling designs (SFD) propose a uniform distribution of points and are well adapted to numerical simulations. However, not all SFDs are equivalent in terms of uniformity of point distribution throughout the variable space, as assessed by quality criteria (such as MinDist, Coverage, etc.) and many algorithms which are powerful in low dimensional spaces (D