### Table II. Local Exponential Stabilization Algorithm.

### Table 1: Results showing the stability of the reflective symmetry descriptor at different approximations. Stability was measured by computing the C4 BE -difference between the full reflective symmetry descriptor and the approximating descriptor, and dividing by the twice standard deviation in descriptors. Timing results include the time for rasterization and computation of the exponentially decaying Euclidean Distance Transform.

2003

Cited by 29

### Table 1. Exponentially-weighted Histories Filter Median Relative Instability

"... In PAGE 6: ... We added a per-link EWMA to our simulator with the goal that it would capture changes in network conditions and dampen the outliers we had seen. Table1 shows the median value of the distribution of median relative error and stabil- Table 1. Exponentially-weighted Histories Filter Median Relative Instability... ..."

### Table 1: Results showing the stability of the reflective symmetry descriptor at different approximations. Stability was measured by computing the a6a8a7 -difference between the full reflective symmetry descriptor and the approximating descriptor, and dividing by the twice standard deviation in descriptors. Timing results include the time for rasterization and computation of the exponentially decaying Euclidean Distance Transform.

2003

Cited by 29

### Table 3 shows that according to our process framework, the G-O model and the Yamada Exponential

2002

"... In PAGE 11: ...Exponential model is rejected because it does not converge in week 11, indicating that a good curve #0Ct with this model is not possible for the data #28both rejected models overestimate byavery large amount, if one had used them later on#29. Table3 : Predicted total number of failures for Release 1. Test Failures Delayed S-shaped G-O Gompertz Yamada week found Estimate R-value Estimate R-value Estimate R-value Estimate R-value 11 139 830 0.... In PAGE 11: ... The #0Cgure clearly shows that the data has an S-shaped curve. The correlation values in Table3 show that the S-shaped models provided a good #0Ct to the data in Release 1. The Gompertz model applied to Release 1 is the #0Crst model to stabilize.... ..."

Cited by 4

### Table 1: Summary of simulation parameters. The fth column gives the amplitude of the initial vortex. The nal two columns give the energy density of the initial vortex, Ev, and the streak, Es. For this simulation and the rest in this section the periodic box has dimensions 8 2 . We use 49 discretization points in the y direction and 32 Fourier modes in the x and z directions. Note that the disturbance eventually dies out in both the linear and nonlinear simulations. In the linear case the decay is exponential with decay rate O(1=R). Hence, the streak pro le, as shown in Figure 2, is not steady. In the stability calculations of the next sections we make the assumption that the time scale for decay of streaks is slower than that for streak breakdown. Our goal is to investigate the stability of streaks generated by the initial optimal vortices. We consider three cases, summarized in Table 1. For the Couette ow cases, we take the velocity eld that evolves from the initial streamwise vortices after 30 time units. For the Poiseuille ow case, we take the eld at t = 40. The initial amplitude is de ned as A = 2pEv. We add a small perturbation of the form

1998

Cited by 7

### Table 3: Exponential tail and the mixed exponential

"... In PAGE 7: ...01E-10 7.44E-13 mse-reduction 0% 0% 0% Table3 shows that for two of the cases, the IS esti- mator with the mixed exponential biasing distribution yields a smaller mse than those with the exponential tail p.... ..."

### Table 8: Stability radii.

2000

"... In PAGE 23: ... This measures the distance from the given system to the nearest unstable system, and as we shall see, is not simply the stability margin. In Table8 , we order the systems from largest stability margin to lowest, and then include the stability radius in the last column. In general, stability radius decreases with stability margin.... ..."

Cited by 7

### Table 1. Stability Analysis.

"... In PAGE 5: ... Therefore it is important to understand the stability of this system (for more details see [15]), and incorporate the geometry of the environment in the low-level behaviors. Table1 shows... ..."

Cited by 1