Parallel computing technology is improving by a quantum leap the size and complexity of mathematical programming models that can be represented and solved on a computer. We discuss appropriate mathematical algorithms for structured optimization problems that utilize efficiently the parallel architectures. Parallel algorithms are presented that exploit parallelism either due to the mathematical structure of the algorithm’s operations, or due to the structure of the optimization problem at hand.
|Title of host publication||Handbook of Parallel Computing and Statistics|
|Number of pages||26|
|ISBN (Print)||082474067X, 9780824740672|
|State||Published - 1 Jan 2005|
Bibliographical notePublisher Copyright:
© 2006 Taylor and Francis Group, LLC.
ASJC Scopus subject areas
- Mathematics (all)
- Computer Science (all)