Carl Ponder wrote:
>
> The first six rows are set as >=0.0 and the second six are set as =0.0.
> I'm minimizing the sum of the last six column-variables, that absorb
> the "residue" of what might otherwise make the last six rows nonzero.
> All variables are set as >=0.0.
One other detail: I set the first column-variable >=1.0 to exclude the
zero-vector as a solution, which would otherwise satisfy all the constraints
as well as minimize the objective-function. The example below satisfies
the >=1.0 constraint as well:
> An example of a feasible-point is the following, in order of the columns
> they mutliply with:
>
> 201.34
> 96.09
> 0.796
> 0.842
> 1
> 0.05
> 89.84
> 0.07
> 53.78
> 0
> 0
>
I can probably come up with additional constraints on the variables.
I would expect additional constraints to affect the time it takes to
converge to a solution, though, and not make the system feasible if
it wasn't before.
Thanks,
Carl Ponder
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