We also show that a large class of allocation rules are manipulable.
These decompositions allow us to recover previous characterization results obtained by Béal et al. (forthcoming), to provide new characterizations of well-known (class of) allocation rules and also to design new allocation rules.
In addition to multicast schemes for wireless networks, a class of allocation problems called Minimum-Energy Multicast (MEM) has been well studied in a number of studies, such as [9 12].
The theory of Lagrangian optimization [5] offers a framework in which we can optimally allocate resources under relatively weak convexity assumptions, and hence provides an approach we can take to solve this entire class of allocation problems without needing to solve a full NP-hard optimization problem.
BMI-2 increased with the person's age at T-1, and significant differences of BMI-2 were found between men from the youngest and the oldest age classes, independent of allocation to patient or control group.
Two classes of resource allocation techniques have widely been addressed in traditional OFDM-based wireless communication systems, namely, (1) margin adaptive (MA) [9] and (2) rate adaptive (RA) [12].
Loss networks are a class of resource allocation models which have proved useful in the study and design of communication networks.
The proposed algorithm is a generalization of a class of bit-allocation algorithms in which a small fraction ΔB of the total bit-budget B is allocated to the "most deserving" quantizer among a set of quantizers in an incremental fashion, until the entire bit-budget is exhausted [[4], Section 8.4].
The assumption was that in an individual simulation series, at least 10,000,000 calls of the class that required the highest number of allocation units for service were offered.
However, the current practice of allocating reliability at a single level leads to inferior optimal solutions, particularly in the class of multilevel redundancy allocation problems.
