Adaptive dynamic bandwidth allocation algorithm with sorting report messages for Ethernet passive optical network

Then, we tested the influence of θ for the rate of convergence of Algorithm 4.1, by using this algorithm with α = 15 and four different θ to solve a test ex- ample generated as

Although we have obtained the global and superlinear convergence properties of Algorithm 3.1 under mild conditions, this does not mean that Algorithm 3.1 is practi- cally efficient,

In this chapter we develop the Lanczos method, a technique that is applicable to large sparse, symmetric eigenproblems.. The method involves tridiagonalizing the given

Like the proximal point algorithm using D-function [5, 8], we under some mild assumptions es- tablish the global convergence of the algorithm expressed in terms of function values,

Is end-to-end congestion control sufficient for fair and efficient network usage. If not, what should we do

• When the coherence bandwidth is low, but we need to use high data rate (high signal bandwidth). • Channel is unknown

¾ For a load-and-go assembler, the actual address must be known at assembly time, we can use an absolute program.. Omit the

• When the coherence bandwidth is low, but we need to use high data rate (high signal bandwidth). • Channel is unknown