Recursive quadratic programming for constrained nonlinear optimization of session throughput in multiple‐flow network topologies
Abstract In this article, we propose and formulate a single‐objective nonlinearly constrained programming problem with delay and capacity constraints. Specifically, we consider the utility resource allocation with the goal of maximizing the throughput amongst the multiple heterogeneous sessions in t...
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| Format: | Article |
| Language: | English |
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Wiley
2020-06-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.12169 |