Imran Nasim, Michael E. Henderson
Mathematics
Paper
On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds
Abstract
This paper considers the number of inner iterations required per outer iteration for the algorithm proposed by Conn et al. [9]. We show that asymptotically, under suitable reasonable assumptions, a single inner iteration suffices.
Related
Satoshi Hada
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Charles A Micchelli
Journal of Approximation Theory
Conference paper
Can hospitals afford digital storage for imagery?
W.F. Cody, H.M. Gladney, et al.
SPIE Medical Imaging 1994