### Table 1. Classroom Practices

"... In PAGE 2: ... This factor solution, accounting for 62.2 percent of the variance in the correlation matrix, is shown in Table1 . Three of the four factors related to specific instructional practices.... ..."

### Table 2. Current Practices of Buffers design and management in Construction Buffer Type Current Practice Description Deficiencies

"... In PAGE 4: ... Biased heuristics used by project management functions produce deficiencies like for example: misinterpretation of data, anchors, preference for intuition, simplistic solutions, overconfidence, etc. Table2 describes current practice related to Buffers utilization in construction and the deficiencies existing in their design and management. ... ..."

### Table 4 shows that the objective value Z I of the best integral solution that we have found is very close to the optimal value Z LP of the LP-relaxation. This indicates that the solutions found by our method are nearly optimal, and hence practically as good as the solutions found by Maugis. For Sunday May 8 our solution even is optimal. a#29 This is a parameter value used by CPLEX which forces the mixed integer optimization to ignore integer solutions that do not improve the best integer solution found so far by at least the percentage that is given by the parameter, i.e., by at least 0.05 %. This limits the number of nodes in the branch-and-boundtree but has the disadvantage that the best integer solution could be ignored (see [8]).

"... In PAGE 21: ...5 47655 490 8443 218448 614 Thu 10 59690 33580 7672 33630 33630 670 9826 114072 739 Sun 10 83920 45810 6183 46940 46940 630 10120 104040 620 Table 3 Computational results of Maugis compared to column generation. presented in Table 3 and the results for #0E = 1 are presented in Table4 . In the tables we give the following quantities: Date: traffic scenario Z FCFS : objective value of the solution found by the FCFS heuristic Z LP : optimal value of the LP-relaxation Z I : objective value of an integer solution with relative objective difference 0:05: a#29 time: computation time in seconds n col: number of variables generated by column generation n var: total number of variables of the model (GHP) n cons: number of non-trivial capacity constraints P... ..."

### Table 1: Common Problems, their Consequences and Recommended Solutions

in ENCOURAGING BEST PRACTICE IN QUANTITATIVE MANAGEMENT RESEARCH: AN INCOMPLETE LIST OF OPPORTUNITIES

"... In PAGE 20: ... Concluding Thoughts In this paper, we have identified some of the most often encountered problems in quantitative management research. Table1 provides a summary of these concerns, their consequence and recommendations for solutions. While not an exhaustive list, we hope that the paper provides readers with better practice solutions to these issues.... In PAGE 26: ...26 Table1 (Continued) Problem/Error Consequence Solution Structural Models SEM or PLS? Under certain conditions, PLS estimates approximate SEM estimates. Otherwise the results may differ.... ..."

### Table 1.1 lists some advantageous features of AI, CS theory and OR. This table does not pretend to be a complete list of all beneficial features, it only highlights some of already identified ones within the considered areas. For example, AI researchers have long realized that prior knowledge can significantly improve empirical performance in practical applications. A solution to the problem, found with the help of the prior knowledge guidance, serves as a benchmark for methods from other areas. Moreover, it can also carry an additional bounding value, for example, any feasible solution establishes an upper bound on the value of the goal function in a minimization problem.

### TABLE III This numerical experiment is an example that shows that errors related to perturbations in the geometry do not exceed errors related to uncertainties in the data (forces, parameters). Here a is a perturbation in the modulus of elasticity; and b is a perturbation in the geometry. We report the infinity norm of the error between the exact solution and the perturbed solutions ua and ub, respectively. In practice, the uncertainty is even higher due to the errors in the constitutive law for the brain and the tumor-growth model.

### Table 3: Experiment 1: tPi;core = 9ms The two experiments show that, while purely feed-forward event propagation through properly described local analysis domains will always lead to a solution, the feedback situation is more complicated (as it is in practice). There are cases where the feedback approach used in the example does not lead to a solution (i.e. a convergence), even though there exists a valid schedule in practice. This can be proved by analyzing the average processor utilization. With 91,67% (55 60), the system is in fact schedulable, i.e. there is a point in time where to- tal system workload will be zero and buffers are empty. However, response time analysis is more complicated than only guaranteeing schedulability.

"... In PAGE 5: ... At each step, we calculate new internal jitters. The results of experiment 1 can be seen in Table3 . We see, that the algorithm terminates after three steps, i.... ..."

### Table 2: In base , digits of rank k are practically uniformly distributed

"... In PAGE 2: ... However, as k increases, the kth digit tends to become evenly distributed (Feldstein and Goodman (1976)). Table2 gives, as a function of the base , the value k for which the limit value 1= is achieved for the probability distribution with an accuracy of at least 4 decimal digits. 2 Finite versus in nite in exact arithmetic Singularities in a model correspond to cases where the solution has no continuous derivatives in some parameter.... ..."

### Table 1. KSZ solution.

61

"... In PAGE 1: ... 1997). In par- ticular the e ect of magnitude equation on the de- termination of ! were studied (see rst three lines in Table1 ). We came to a conclusion that since the proper motions of stars in the KSZ programme were obtained relative to faint galaxies the proper motions of only faint stars did practically not depend on a magnitude equation.... In PAGE 1: ... We came to a conclusion that since the proper motions of stars in the KSZ programme were obtained relative to faint galaxies the proper motions of only faint stars did practically not depend on a magnitude equation. `The faint KSZ stars apos; solution (the second line in Table1 ) were used for linkage of the Hipparcos system (Kovalevsky et al. 1997).... In PAGE 2: ... stars: B{V lt; 0:9 and more red stars: B{V gt; 0:9. The last two lines in Table1 give the solutions for these di erent subsets of data. Figure 2 shows the change of values (!x; !y; !z) with the exclusion of stars in gradually decreasing B{V (solid triangles) and gradually increasing B{V (open triangles).... ..."

### Table 2. Network mechanisms usage Characteristic Requirement Solution

2004

"... In PAGE 8: ...3 System Software Requirements and Solutions Next we examine the areas where current system software is lacking and explain how the proposed mechanisms can simplify the design and implementation of practical solutions. Table2 summarizes these arguments. Job Launching The traditional approach to job launching, including the distribution of executable and data files to cluster nodes, is a simple extension of single-node job launching: data is transmitted using network file systems such as NFS, and jobs are launched with scripts or simple utilities such as rsh or mpirun.... ..."

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