Optimal Spread (2)

Is turns out we also have to distribute x(t)’s such that we follow a non-uniform parameter. In the previous section http://yetanothermathprogrammingconsultant.blogspot.com/2011/05/optimal-spread.html we used a function v(t) = 1 with cumulative function w(t) = t.

In this case we consider a generic parameter v(t), with its cumulative cousin w(t)=w(t-1)+v(t). To trace this function as closely as possible we can use:

E.g. when we use v(t)=t, then we see:

----     77 PARAMETER result                v           x i1        1.000 i2        2.000 i3        3.000 i4        4.000 i5        5.000       1.000 i6        6.000 i7        7.000 i8        8.000 i9        9.000       1.000 i10      10.000 i11      11.000 i12      12.000       1.000 i13      13.000 i14      14.000       1.000 i15      15.000 i16      16.000       1.000 i17      17.000 i18      18.000       1.000 i19      19.000 i20      20.000       1.000