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- Path: sparky!uunet!elroy.jpl.nasa.gov!usc!zaphod.mps.ohio-state.edu!caen!uvaarpa!murdoch!kelvin.seas.Virginia.EDU!ss4i
- From: ss4i@kelvin.seas.Virginia.EDU (Sriram Srinivasan)
- Subject: A question about VFSR
- Message-ID: <1992Dec18.193249.22059@murdoch.acc.Virginia.EDU>
- Originator: ss4i@kelvin.seas.Virginia.EDU
- Sender: usenet@murdoch.acc.Virginia.EDU
- Organization: University of Virginia
- Date: Fri, 18 Dec 1992 19:32:49 GMT
- Lines: 26
-
- Hi,
-
- I am thinking about using VFSR (A Simulated Reannealing code from
- NETLIB) on my problem which is to minimize a nonlinear function
- subject to nonlinear inequality constraints. In addition, the
- constraints are nondifferentiable wrt the parameters although
- the objective function is differentiable.
-
- I dont know anything about the theory behind VFSR and I wanted to
- use it as a black box. My question is:
- Can I use VFSR for this purpose?
-
- It is my understanding that VFSR requires the user to supply a
- subroutine which returns with the cost fuction and a flag which
- determines whether the (parameter) state at that point violates some
- constraints or not. Apparently, if the constraints are violated, a
- new set of trial parameters are generated. Is there a guarantee that
- the new set of trial parameters are valid? If not, then it would seem
- to me that you could get stuck at such points.
-
- I would appreciate any information on the issues above.
- Thanks.
-
-
- -sriram srinivasan
- (ss4i@kelvin.seas.virginia.edu)
-