##### Department of Mathematics,

University of California San Diego

****************************

### Center for Computational Mathematics Seminar

## Philip E. Gill

#### UCSD

## Trust-search Methods for Unconstrained Optimization

##### Abstract:

Recent research on interior methods has re-emphasized the role of sequential unconstrained optimization for the solution of nonlinear programming problems. We focus on the numerical linear algebra associated with a class of ``trust-search'' methods that combine the best features of line-search and trust-region methods for unconstrained optimization.

### October 21, 2008

### 11:00 AM

### AP&M 2402

****************************