M
Michael A. Saunders
Researcher at Stanford University
Publications - 200
Citations - 37808
Michael A. Saunders is an academic researcher from Stanford University. The author has contributed to research in topics: Nonlinear programming & Constrained optimization. The author has an hindex of 59, co-authored 194 publications receiving 34804 citations. Previous affiliations of Michael A. Saunders include Carleton University & University of California, San Diego.
Papers
More filters
Journal ArticleDOI
Nonconservative Robust Control: Optimized and Constrained Sensitivity Functions
TL;DR: An automated procedure for optimization of proportional-integral-derivative (PID)-type controller parameters for single-input, single-output (SISO) plants with explicit model uncertainty is presented and robustness to the uncertainties is guaranteed by the use of Horowitz-Sidi bounds.
Journal ArticleDOI
A Practical Interior-Point Method for Convex Programming
TL;DR: Some promising numerical results indicate that the algorithm may be efficient in practice, and that it can deal in a single phase with infeasible starting points without relying on some “big M” parameter.
Journal ArticleDOI
The simplex algorithm with a new primal and dual pivot rule
TL;DR: A simplex-type algorithm for linear programming that works with primal- Feasible and dual-feasible points associated with bases that differ by only one column is presented.
Journal ArticleDOI
Conditions for duality between fluxes and concentrations in biochemical networks.
TL;DR: This work presents a novel stoichiometric condition that is necessary and sufficient for duality between unidirectional fluxes and concentrations, and provides a combinatorial characterisation that is sufficient to ensure flux-concentration duality.
Journal ArticleDOI
Computing projections with LSQR
TL;DR: In this paper, it was shown that projections may be obtained from the bidiagonalization as linear combinations of (theoretically) orthogonal vectors, perhaps more accurately than the usual LSQR solution.