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Table 1. Adaptation statistics for missile exhaust case, 16 processors. Original Grid First Adaptation Second Adaptation

in and
by Peter A Cavallo, Matthew J. Grismer
"... In PAGE 9: ...egion. Figure 15 further illustrates the improvement with mesh adaptation. At each of the selected axial stations, mesh refinement better defines the cross-sectional shape of the deflected jet. Furthermore the refinement is seamless across the tetrahedral and hexahedral cell topologies Table1 summarizes the changes in mesh size with each adaptation. There is a considerable increase in the number of cells and vertices, largely owing to the subdivision procedures for the prisms and hexahedra.... ..."

Table 2: Interference minimization in two stage design

in Interference Minimization Using Automatic Design of Cellular Communication Networks
by Kurt Tutschku 1998
"... In PAGE 5: ... Figure 4. Table2 shows that the deployment of the additional high power #5Cmacro quot; cells does not improve the solution. This behavior results from our de#0Cnition of the term #5Cmacro quot; cell which is based on the distinction of cell types accord- ing to their power level.... ..."
Cited by 5

Table 3: Interference minimization in two stage design

in Interference Minimization in Wireless Communication Systems by Optimal Cell Site Selection
by Kurt Tutschku 1999
"... In PAGE 6: ... Figure 4. Table3 shows that the deployment of the additional high power #5Cmacro quot; cells does not improve the solution. This behavior results from our de#0Cnition of the term #5Cmacro quot; cell which is based on the distinction of cell types accord- ing to their power level.... ..."
Cited by 2

Table 3: Interference minimization in two stage design

in Interference Minimization in Wireless Communication Systems by Optimal Cell Site Selection
by Kurt Tutschku, Rudolf Mathar, Thomas Niessen 1999
"... In PAGE 6: ... Figure 4. Table3 shows that the deployment of the additional high power \macro quot; cells does not improve the solution. This behavior results from our de nition of the term \macro quot; cell which is based on the distinction of cell types accord- ing to their power level.... ..."
Cited by 2

Table 2. Adaptive L1 ICache configurations. I-cache, dynamic

in Dynamic Capacity-Speed Tradeoffs in SMT Processor Caches ⋆
by Sonia López, Steve Dropsho, David H. Albonesi, Oscar Garnica, Juan Lanchares
"... In PAGE 5: ... In contrast, the number of sub-banks in an optimal fixed L1 varies with total capacity, and the optimal L2 structure has four sub-banks per way for all sizes larger than the minimum. In the front end domain, the L1 ICache is adaptive; the configurations are shown in Table2 . The cache adapts by ways as with the L1 DCache, but with associativities of one, two, three, and four.... ..."

Table 2: Papers ranked by perplexity for M. Jordan, from 33 documents. Paper Title Perplexity Score Software con guration management in an object oriented database 1386.0 Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study 1319.2

in Probabilistic Author-Topic Models for Information Discovery
by Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas Griffiths 2004
Cited by 30

Table IV. Blocks with no self- interference (from our algorithm). Block size

in Cache Miss Equations: A Compiler Framework for Analyzing and Tuning Memory Behavior
by Somnath Ghosh, Margaret Martonosi, Sharad Malik 1999
Cited by 111

Table 6: Comparison of dynamic adjustment of block size against fixed size policies.

in Self-optimizing Block Transfer in Web Service Grids
by Anastasios Gounaris, Marios D. Dikaiakos, Christos Yfoulis, Rizos Sakellariou, Anastasios Gounaris, Marios D. Dikaiakos, Christos Yfoulis, Rizos Sakellariou 2007
"... In PAGE 10: ...2 Performance Improvements So far we have discussed how the adaptivity techniques compare to each other. In the following paragraphs the comparison with the fixed block size cases will be discussed, with a summary provided by Table6 . In this table, the values are normalized with the optimum point of Figure 6 set to 1.... ..."

Table 6: Comparison of dynamic adjustment of block size against fixed size policies.

in Self-optimizing Block Transfer in Web Service Grids
by Anastasios Gounaris, Marios D. Dikaiakos, Christos Yfoulis, Rizos Sakellariou, Anastasios Gounaris, Marios D. Dikaiakos, Christos Yfoulis, Rizos Sakellariou 2007
"... In PAGE 10: ...2 Performance Improvements So far we have discussed how the adaptivity techniques compare to each other. In the following paragraphs the comparison with the fixed block size cases will be discussed, with a summary provided by Table6 . In this table, the values are normalized with the optimum point of Figure 6 set to 1.... ..."

Table 3. Numerosity reduction with adaptive warping window.

in Fast Time Series Classification Using Numerosity Reduction
by Xiaopeng Xi, Eamonn Keogh, Christian Shelton, Li Wei, Chotirat Ann Ratanamahatana 2006
"... In PAGE 5: ... Motivated by the above observations, we propose the algorithm AWARD (Adaptive WARping winDow), which dynamically adjusts warping window size during numerosity reduction. The pseudo-code is shown in Table3 . The algorithm first tries all possible warping window sizes from 0% to 100% on the training set T, and initializes the warping window size r to the one yielding the highest leave-one-out classification accuracy (we call this preprocessing step).... ..."
Cited by 2
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