Re: [R] Can R solve this optimization problem?

From: Paul Smith <>
Date: Mon, 7 Jan 2008 00:55:26 +0000

On Jan 7, 2008 12:18 AM, Duncan Murdoch <> wrote:
> > I am trying to solve the following maximization problem with R:
> >
> > find x(t) (continuous) that maximizes the
> >
> > integral of x(t) with t from 0 to 1,
> >
> > subject to the constraints
> >
> > dx/dt = u,
> >
> > |u| <= 1,
> >
> > x(0) = x(1) = 0.
> >
> > The analytical solution can be obtained easily, but I am trying to
> > understand whether R is able to solve numerically problems like this
> > one. I have tried to find an approximate solution through
> > discretization of the objective function but with no success so far.
> R doesn't provide any way to do this directly. If you really wanted to
> do it in R, you'd need to choose some finite dimensional parametrization
> of u (e.g. as a polynomial or spline, but the constraint on it would
> make the choice tricky: maybe a linear spline?), then either evaluate
> the integral analytically or numerically to give your objective
> function. Then there are some optimizers available, but in my
> experience they aren't very good on high dimensional problems: so your
> solution would likely be quite crude.
> I'd guess you'd be better off in Matlab, Octave, Maple or Mathematica
> with a problem like this.

Thanks, Duncan. I have placed a similar post in the Maxima list and another one in the Octave list. (I have never used splines; so I did not quite understand the method that you suggested to me.)

Paul mailing list PLEASE do read the posting guide and provide commented, minimal, self-contained, reproducible code. Received on Mon 07 Jan 2008 - 01:02:16 GMT

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