Abstract
Computational results are given relating to solution of convex multicommodity network flow problems by using several recently developed optimization algorithms. These algorithms are based on the ideas of Gallager's method for distributed optimization of delay in data communication networks and gradient projection ideas from nonlinear programming. They can be used both with and without a line search. An important common feature of the algorithms which distinguishes them from other existing methods is that they utilize second derivatives and are geared towards approximating a constrained version of Newton's method.
Original language | English (US) |
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Pages (from-to) | 220-227 |
Number of pages | 8 |
Journal | Proceedings of the IEEE Conference on Decision and Control |
DOIs | |
State | Published - 1978 |
Externally published | Yes |
Event | Proc IEEE Conf Decis Control Incl Symp Adapt Processes 17th - San Diego, CA, USA Duration: Jan 10 1979 → Jan 12 1979 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization