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Table 1: Average number of local minima with respect to 2-exchange local neighborhoods in random MAPs with iid assignment costs

in On the Number of Local Minima for the Multidimensional Assignment Problem
by Panos M. Pardalos 2006
"... In PAGE 11: ...istribution we used the well-known polar method (see, e.g., Law and Kelton, 1991). Table1 shows the average number of local minima with respect to 2-exchange neighborhoods N2. For small sized problems, the number of local minima was computed exactly by complete enumeration of all feasible solutions in a given instance of the problem; the values in Table 1 have been obtained by averaging over 100 problem instances.... In PAGE 12: ....e., the expected number of local minima with respect to 3-exchange neighborhoods is smaller than that for 2-exchenge neighborhoods for same-sized problems. Figure 1 visualizes the experimentally determined number of local minima in random MAPs as presented in Table1 , along with the developed bounds (17), for instances with fixed d = 6 (left) and n = 6 (right) and assignment costs drawn from the above three distributions. The logarithmic scale is used due to the exponential growth of the corresponding values with n and d.... ..."

Table 12. Local vs. Neighborhood self-sizing for UNC trace

in Wavelet-based Neighborhood Control for Self-Sizing Networks
by Srikant Nalatwad, Michael Devetsikiotis, Srikant Nalatwad, Michael Devetsikiotis

Table 5.1: Di erence in 1-step inclusion rate and n-step coverage for two di erent local neighborhoods.

in Lattice-Based Search Strategies For Large Vocabulary Speech Recognition
by Frederick Richardson 1995

Table 7. Results for instance W4 with a 60-minute CPU time limit and the augmented local search neighborhood.

in Population Studies for the Gate Matrix Layout Problem
by Re Mendes, Paulo França, Pablo Moscato, Vinícius Garcia

Table 11. Local vs. Neighborhood self-sizing for Bellcore traf1c

in Wavelet-based Neighborhood Control for Self-Sizing Networks
by Srikant Nalatwad, Michael Devetsikiotis, Srikant Nalatwad, Michael Devetsikiotis

Table 13. Local vs. Neighborhood self-sizing for exponential on/off traf1c

in Wavelet-based Neighborhood Control for Self-Sizing Networks
by Srikant Nalatwad, Michael Devetsikiotis, Srikant Nalatwad, Michael Devetsikiotis

Table 14. Local vs. Neighborhood self-sizing for Pareto on/off traf- 1c

in Wavelet-based Neighborhood Control for Self-Sizing Networks
by Srikant Nalatwad, Michael Devetsikiotis, Srikant Nalatwad, Michael Devetsikiotis

Table 2: Eigenvalues, anisotropy and orientation of the structure tensor applied to the clusters for various sizes of the local neighborhood (c.f. Figure 4). The size of the Gaussian derivatives is 0.9.

in Multi-orientation analysis by decomposing the structure tensor and clustering
by L. J. Van Vliet, F. G. A. Faas

Table 7.1: Local vs. Neighborhood self-sizing for Bellcore traffic Type of control MSBAE Improvement Maximum Queue

in Self-Sizing Techniques for Locally Controlled Networks
by Nalatwad Srikant S 2005

Table 2 Neighborhood Characteristics

in A Community Based Model for Assessing the Supports and Services Needed by WAGES Families to Maintain Employment and Achieve Independence
by Angela Gomez, Louis De La Parte, Jean Amuso, Kyle Campbell, Martin Catala, Robert Friedman, Nicole Gale, John Marsh, Ondria Merriweather-brown
"... In PAGE 11: ...ection with the neighborhood. All other stores are convenience stores. There are no supermarkets in the neighborhood. Table2 , below, summarizes the neighborhood characteristics collected through cen- sus information and physical survey of the neighborhood.... ..."
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