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.