Rate smoothing algorithms

Feng, W.C., Rexford, J. Performance evaluation of smoothing algorithms for transmitting prerecorded variable-bit-rate video. IEEE Transactions on Multimedia 1(3), 302-313 (1999)... 

Under such a choice of the computational algorithm the accuracy of scheme (49) will be given special investigation. We are going to show that it converges uniformly with the rate 0 h + r " ) in the case of smooth functions k x) and... 

Both the Doll s and SLLOD algorithms are correct in the limit of zero-shear rate. However, for finite shear rates, the SLLOD equations are exact but Doll s tensor algorithm begins to yield incorrect results at quadratic order in the strain rate, since the former method has succeeded in transforming the boundary condition expressed in the form of the local distribution function into the form of a smooth mechanical force, which appears as a mechanical perturbation in the equation of motion (Equation (12)) (Evans and Morriss, 1990). To thermostat the... 

The correlation of the landscape measures the fitness similarity between a sequence and its d-mutant neighbors, where d is the number of mutations. As a sequence accumulates mutations, the fitness is increasingly altered. On smooth landscapes, the rate of fitness change is slow and therefore the landscape is correlated. Conversely, on rugged landscapes, the rate is more rapid and the landscape is uncorrelated. Studies of the relationship between fitness and distance have been used to quantitate the correlation among population ensembles on the RNA landscape (Fontana and Shuster, 1987), recombination dynamics (Born-holdt, 1998), and the success of genetic algorithms (Manderick et al., 1991 Jones and Forrest, 1995). 

Figure 2. Comparison between true values and algorithm estimates of p, B, and S during the transient following a sudden increase of dilution rate of a chemostat. Key -------------, true values x, estimates and O, smoothed estimates.

To summarize TDS data and get a descriptive picture of each product, the most common representation is the TDS curve. The procedure (Section 13.4.2) considers each attribute separately. For each point of time, the proportion of evaluations (subject X replication) for which the given atUibute was assessed as dominant is computed. These proportions are smoothed over time (e.g. using moving average or a more sophisticated algorithm such as SAS/TRANSREG) and displayed as curves of the evolution of the dominance rate for each attribute. In the example of Fig. 13.2, the... 

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