Practical Implementation Issues of Lagrangian Based Distributed Optimization Algorithms
In this article, we illustrate practical issues arising in the development of efficient implementation of distributed algorithms that solve a general (concave) constrained maximization problem. Such optimizations arise in many situations. One typical example is those of resource allocation in comput...
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| Vydané v: | 2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing s. 331 - 334 |
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| Hlavní autori: | , , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
01.09.2010
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| Predmet: | |
| ISBN: | 1424498163, 9781424498161 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | In this article, we illustrate practical issues arising in the development of efficient implementation of distributed algorithms that solve a general (concave) constrained maximization problem. Such optimizations arise in many situations. One typical example is those of resource allocation in computer networks, where the system aims at maximizing some global function of the users individual throughput subject to link capacity constraints. |
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| ISBN: | 1424498163 9781424498161 |
| DOI: | 10.1109/SYNASC.2010.80 |

