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Table A.1: The structure of the fourier transformed 2D real array. The marked region is the data that rfftw2d prints out. Here, r stands for a real data entry, c for a complex one. Complex entries always occur together with their complex conjugate counterpart.
Table 1 shows that TA in 1999 varies considerably between different types of technology, decreasing with the complexity of the technology adopted.2 The TA rate varies from 20 percent for manual equipment to 0.8 percent for computerized numeric controlled machinery (CNCM). Large firms are the most likely to adopt robots. However, adoption rates for numeric controlled machinery (NCM) and CNCM vary considerably across firm size. Only 0.6 percent of microenterprises had adopted numeric controlled or computerized technology. However, 10.4 percent of small enterprises, 16.6 percent of medium-size enterprises, and 21 percent of large enterprises adopted this kind of technology. Thus, larger firms seem to adopt more complex technology than their smaller counterparts.
"... In PAGE 6: ... Thus, larger firms seem to adopt more complex technology than their smaller counterparts. Table1 . TA by Technology Type and Firm Size, 1999 Percent of firms that adopt technology Type of technology Micro Small Medium Large All Manual equipment 20.... ..."
Table 1: Performance comparisons between stand- alone planners together with their hierarchi- cal counterparts.
"... In PAGE 7: ... For each domain, several tests have been performed, characterized by increasing complexity. Table1 com- pares the CPU time of each planner over the set of problems taken from the AIPS planning compe- titions. Dashes show problem instances that could 2Due to the limitations of most of the existing planners, the process of incrementally querying for another solution may be simulated... ..."
Table 1: Transformations and their counterparts
"... In PAGE 5: ... Results The new goal directed heuristic algorithm was compared with the existing simulated annealing algorithm. The re- sults for a number of designs are shown in Table1 . Each design was optimised for either best area improvement or best speed improvement using both algorithms.... ..."
Table 1: Transformations and their counterparts
"... In PAGE 5: ... Results The new goal directed heuristic algorithm was compared with the existing simulated annealing algorithm. The re- sults for a number of designs are shown in Table1 . Each design was optimised for either best area improvement or best speed improvement using both algorithms.... ..."
Table 4: Counterpart conditions of partition s for par-
"... In PAGE 3: ...From the results presented in table 2 and table 3, we can derive the counterpart conditions involving the length and the height of partitions for each temporal comparison operator. Table4 shows these conditions. In table 4, l p and h p mean the length and the height of a partition whose partition id is p.... ..."
Table 1. Hard source optical counterparts
"... In PAGE 2: ... (2000). 3 RESULTS Table1 contains the list of optical identi cations. We have categorised our sources as follows.... In PAGE 7: ... Note also that the position of the optical counterpart is incorrect in Mason et al. (2000), which should be the same as that in Table1 , i.e.... In PAGE 8: ...oft X{ray surveys (eg 2.5% in the CRSS, Ciliegi et al. 1995).The second di erence is that there are nearly half as many NELGs as BLAGN (see Table1 ) compared to ratios of 1:13 NELGS to AGN in RIXOS (Mason et al. 2000) and 1:6 in the CCRS (Boyle, Wilkes amp; Elvis 1997).... ..."
Table 1: German spatial relations and their English counterparts
"... In PAGE 35: ...:100,000 {road, river, buildine, ..., lot} Table1 : Default settings for scale ranges and preferred image sources for geographic... In PAGE 75: ...e.g., at and near), the projective relations (e.g., in front of , right, and below), and the relation between, which takes an exceptional position in the group of spatial relations.r Table1 shows the 13 different German spatial relations and their English counterparts considered at the moment. lln the sequel only the English expressions for the German prepositions are used.... In PAGE 101: ...einand, A., Gamma, E., amp; Marty, R. (1989). Design and Implementation of ETt*: A searnless Object-Oriented Application Framework. Structured Programming, 10(2),63-87 apos; APPENDIX A: 3D SPATIAL ADT FUNCTIONS This appendix contains the functions specific for one of the following 3D spatial data types: POINT3, POLYLINE3, POLYGON3, and POLYHEDRON3; see Table1 . In Tables 2, 3, 4, and 5, the in- and output functions are omitted.... In PAGE 101: ... Table 7 contains an overview of the topological predicates and Table 6 lists the d apos;istance functions. data type Postgres point PoINT3 x, Y, z coordinates (floats) polyline PoLYLINE3 list of PoINT3s polygon POLYGoN3 list of PoINT3s polyhedron PoLYHEDRoN3 list of PoINT3s apos; list of faces box Box3 2 potNr3s (opposing corners) Table1 : The 3D geometric data types name arguments return value description ffi poINT3 converts point from 2D to 3D Pnt3ToPnt2 PoINT3 PoINT2 converts point from 3D to 2D Box3Pnt POINT3 Box3 converts PoINT3 to sox3 Table 2: Point functions.... In PAGE 109: ... The difference with geographic data is that the candidate cells can be based on either the spatial data, the attribute data or a combination of both. Table1 gives an example of primary candidate partitionings in which the predicate is based on some spatial or nonspatial property of the entity. Table 1: Primary Candidate Partitioning Table Entity Predicate a) mapsheet mapsheet_name : apos;Laverton apos; mapsheet_name : apos;Albany apos; mapsheet_name c apos;Laverton apos;, apos;Al- bany apos; b) mlne status : apos;Developing apos; status : apos;Abandoned apos; c) mlne Y-coordinate lt;: 32 Y-coordinate gt; 32... In PAGE 109: ... Table 1 gives an example of primary candidate partitionings in which the predicate is based on some spatial or nonspatial property of the entity. Table1 : Primary Candidate Partitioning Table Entity Predicate a) mapsheet mapsheet_name : apos;Laverton apos; mapsheet_name : apos;Albany apos; mapsheet_name c apos;Laverton apos;, apos;Al- bany apos; b) mlne status : apos;Developing apos; status : apos;Abandoned apos; c) mlne Y-coordinate lt;: 32 Y-coordinate gt; 32... ..."
Table 1. Biological elements and their computational counterparts.
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