% Illustration of the functions lfr/set and normalizelfr % First a random LFR-object with parameters d1,d2,d3,d4 is defined S = rlfr(4,2,2,4,1,1,1,'d'); size(S) % Bounds are defined for the four parameters using the function % set set(S,{'d1'},{[-2,6]},{'minmax'}); set(S,{'d2'},{[-6,2]},{'minmax'}); set(S,{'d3'},{[-2,2]},{'minmax'}); set(S,{'d4'},{[-1,1]},{'minmax'}); size(S) % Normamalization Snorm = normalizelfr(S,{'d1','d2','d3','d4'}); size(Snorm) % For checking the results, both LFR-objects are evaluated on the % same vertex uplft(S,{'d1','d2','d3','d4'},[6,-6,2,-1]) uplft(Snorm,{'d1','d2','d3','d4'},[1,-1,1,-1])