Re: maximization with array of constraints
- To: mathgroup at smc.vnet.net
- Subject: [mg128238] Re: maximization with array of constraints
- From: Bob Hanlon <hanlonr357 at gmail.com>
- Date: Thu, 27 Sep 2012 22:49:48 -0400 (EDT)
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The row is the first index not the second. Depending upon what you
actually want, the constraints would be something like
cons = #[[1, 1]]*x + #[[1, 2]]*y > 0 & /@ mydata;
The syntax for NMaximize includes the variables
NMaximize[{myfunction[x, y], cons}, {x, y}]
Bob Hanlon
On Thu, Sep 27, 2012 at 3:07 AM, Felipe <felipe.benguria at gmail.com> wrote:
> Hi,
>
> I am trying to maximize a function using NMaximize and I have a large list of constraints that I would like to write with a loop or as an array.
>
> It looks like the following:
>
> NMaximize[{myfunction[x,y] , x*mydata[[1,row,1]] + y*mydata[[1,row,2]] >0 }]
>
> and I want the restriction to be valid for the numbers in each row of the "mydata" array. That is, if mydata is an array with two columns and 100 rows, I would have 100 constraints, which are too many to enter manually.
> Can I write a loop for the constraints inside NMaximize ? Do you have some suggestion on how to write this? I was not able to find it in earlier posts.
>
> Thank you very much for your help
> Felipe
>
- References:
- maximization with array of constraints
- From: Felipe <felipe.benguria@gmail.com>
- maximization with array of constraints