### Table 1 Rule base for selecting the differential delay and weight step sizes based on the state of separation of the source estimates Rule r_s r_m r_l

2006

### Table 1: Summary of parameters used in simulations of noncoding sequence evolution.

"... In PAGE 4: ...leven divergence distances ranging from 0.25 to 5.0 sub- stitutions per site. Levels of constraint as well as relative evolutionary rates of constrained to unconstrained sites and of indels to point substitution were chosen based on previously reported estimates from the literature (see Table1 and Methods). Characterization of simulation outputs To characterize simulation outputs, derived pairs of sequences in alignments provided by ROSE were analyzed for the following measures: estimated overall divergence, estimated divergence in constrained blocks, estimated divergence in unconstrained blocks, overall identity, iden- tity in constrained blocks, identity in unconstrained blocks, fraction of ancestral sequence remaining, fraction of sequences constrained, and differences in length.... ..."

### Table 1: Constrained and unconstrained estimates for both techniques

"... In PAGE 5: ... Figure 4: The constrained sequential estimator routine also improves the reported state estimate. In Table1 , we present the coordinates of the position for the constrained and unconstrained estimates of both techniques. Clearly, we see that both unconstrained estimates are quality estimates with the baseline estimator following closer the measurements.... ..."

### Table 1. Estimates and actual sizes for exhaustive approach.

in Proceedings

"... In PAGE 17: ... Algorithms may take more execution time. Table1 - Choices Extracted from the Arguments ... In PAGE 18: ... This section discusses the influences from some of the goals and in doing so demonstrates the links between the architecture trade- off analysis and component-based design. From Table1 it can be seen that some of the choices that need to be made about individual components are affected by choices made by other components within the system. Two cases of influence are given below: 1.... In PAGE 38: ... This micro-controller differentiates several types of memory. For each type of memory, the estimates were compared with the actual sizes, considering different sets of diversity parameters and connections of different optional requires interfaces (see Table1 and Table 2). Table 1.... ..."

### Table 2: Different state evolution models for estimating disease state for 3687 visits

Cited by 1

### Table 2: Estimated and nal switching points of the state constrained time optimal motion.

### Table-4.3: Estimated Correlation Matrix from Q in Table-4.1 through Minimization of Frobenius Norm by Differential Evolution based Method Proposed in this Paper 1.000000000 0.183618795 0.779746208 0.637889805 0.608249605 0.470975692 0.661543723

in Solution

### Table-4.4: Estimated Correlation Matrix from Q in Table-4.1 through Minimization of Chebyshev Norm by Differential Evolution based Method Proposed in this Paper 1.000000000 0.168991286 0.508346490 0.664536356 0.228095124 0.272100847 0.490989003

in Solution

### Table 7: Linear and Nonlinear Model Values based on Linearized Variance Parameter Estimates

"... In PAGE 21: ...Alternatively, we may use our estimated variance parameters to solve the true (nonlinear) option model, equation 12). Table7 reports the results of this calculation. Table 7: Linear and Nonlinear Model Values based on Linearized Variance Parameter Estimates... ..."