Title :
Parallel algorithms for unconstrained optimization
Author_Institution :
Washington University, St. Louis, Missouri, USA
Abstract :
In this paper, parallel algorithms are proposed for locating the minimum point of a strictly convex quadratic function. The proposed algorithms are based on a new idea of group conjugacy and they can be considered parallel extensions of conjugate direction methods.
Keywords :
Algorithm design and analysis; Concurrent computing; Gradient methods; Minimization methods; Optimization methods; Parallel algorithms;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1979.270214
