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Like many other tight bounds, the simple bound is based on the second Gallager's bounding techniques [1].
Continuous relaxations gave very tight bounds (e.g. gaps < 0.8%).
This technique allows one to obtain tight bounds on the performance of the closed-loop system.
However, the construction of tight bounds is still an issue for practical applications.
We establish tight bounds for the growth of f(n H) as n→∞.
This heuristic algorithm is shown to provide very tight bounds on the randomly generated instances in a short computation time.
We derive tight bounds on the price of anarchy and the price of stability for a large range of parameters.
In this paper, we prove tight bounds for 2-connected graphs and for 2-edge-connected graphs.
We also study a specific relaxation that enables us to derive tight bounds that improve the effectiveness of the formulations.
We give tight bounds on the changes in the individual playerʼs power that can result from a change in quota.
To obtain tight bounds, a WCET analysis has to consider micro-architectural features like caches, branch prediction, and branch target buffers (BTB).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com