Talk Abstract:

Seminar on Industrial Problems

Derivative Free Optimization Algorithm for Constrained Problems

April 16, 1999

Presented by:

Andrew Conn
IBM Research
Yorktown Heights, NY

The talk will be held at 570 Vincent Hall
10:10 am

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We consider a class of nonlinear optimization problems with "expensive" objective function and constraints. For such problems the derivatives of the objective function and, possibly, constraints are assumed unavailable. Also some noise may be present in the function computations. We will describe a class of, so called, derivative free optimization (DFO) algorithms developed for constrained and unconstrained problems.

This is joint work with Katya Scheinberg and Phillipe Toint.

Below, you can download a compressed whole package or separate postscript files of the materials used during the presentation.

aconn.tar.gz (complete version, 1.8meg)

ima.ps (249K)

dfo1b.eps (2.5meg)

dfo2b.eps (2.5meg)

dfo3b.eps (2.5meg)

dfo4b.eps (2.5meg)

refs.ps (46K)

 

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