Conference paper
Learning Reduced Order Dynamics via Geometric Representations
Imran Nasim, Melanie Weber
SCML 2024
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
W.C. Tang, H. Rosen, et al.
SPIE Optics, Electro-Optics, and Laser Applications in Science and Engineering 1991
Vladimir Yanovski, Israel A. Wagner, et al.
Ann. Math. Artif. Intell.
Matthew A Grayson
Journal of Complexity