Now showing items 1-5 of 5
On Secant Updates for Use in General Constrained Optimization
In this paper we present two new classes of SQP secant methods for the equality constrained optimization problem. One class of methods uses the SQP augmented Lagrangian formulation, while the other class uses the SQP ...
A Trust Region Strategy for Nonlinear Equality Constrained Optimization
Many current algorithms for nonlinear constrained optimization problems determine a direction by solving a quadratic programming subproblem. The global convergence properties are addressed by using a line search technique ...
Curve Tailoring with Inter-Active Computer Graphics
We are exploring ways to use the increasingly common graphics workstations (we use a SUN) to make numerical computation more convenient. The particular experiment reported on here involves the use of the mouse to obtain ...
On the Characterization of Q-superlinear Convergence of Quasi-Newton Methods for Constrained Optimization
In this paper we present a short, straightforward and self-contained derivation of the Boggs-Tolle-Wang characterization of those quasi-Newton methods for equality constrained optimization which produce iterates which are ...
Parameter Estimation of Probabilistic Choice Models
Probabilistic choice models are used by economists, psychologists, and marketing scientists in the analysis of choice behavior involving discrete, or quantal choice alternatives. The most widely-used of these is the ...