### Table 1. Land Cover Types Used in CLM Class Land Cover Types

"... In PAGE 2: ... Zeng et al. [2002] used 16 land cover types ( Table1 ) based on IGBP land cover classification and defined a special class type 18 (purely bare soil). Surface input data required for each grid include central location, soil color type, percent- age of sand and clay of soil, and land cover type and fraction for each tile.... ..."

### Table 2. GEOS-CHEM Global Budgets for Sulfate Produced by Different Oxidation Pathways Source, Tg S yrC01 Dry Depositiona Wet Depositiona

"... In PAGE 8: ...eene et al. [2002]. 7. Implications for the Sulfur Budget [31] Table2 presents the GEOS-CHEM global budgets for sulfate produced by different oxidation pathways. For a general discussion of the GEOS-CHEM global sulfate budget, including comparisons to other models, see Park et al.... ..."

### Table 3 Comparison of the fulfillment of selected conditions in the NF- and the F-approach

"... In PAGE 5: ... Then the results of the optimization calculations follow. Results of the analyses of the actual diets The analyses of the actual diets (AD) of all the three people show that a large proportion of the nutrient intake recom- mendations is not met ( Table3 , column AD). The best nutrient intake was found for person 2.... ..."

### Table 7. Query-Kind Filter Table for Template Focus Query Mi Di Fi Cl Fu CT FT Va En Er Ty Ma

### Table 1: Average iteration counts for the Nesterov-Todd (NT) and the new methods on educational testing problems with random data A = A + ( A)I where A is a random symmetric matrix. In Table 2 the matrix A 0 is generated in a di erent way, namely A = A AT where A is a random square matrix. The ordering of performance is the same as for Table 1 although the di erence is smaller. Following Todd et al. [20], the experiment is also done with A = A AT where A is a square Toeplitz

in Primal-Dual Potential Reduction Methods for Semidefinite Programming Using Affine-Scaling Directions

"... In PAGE 21: ... This is a SDP problem with m = n = 2 dim(A). In Table1 the average iteration counts of the three methods are compared for ve sets of 15 random problems each. The matrix A is generated via A = A + ( A)I, where A is a random symmetric matrix.... ..."

### Table 3. The number of isomorphism classes of Bass, Gorenstein and arbitrary orders in H p and M2 = M2(K), when p = (2).

"... In PAGE 16: ...STEFAN JOHANSSON case. We summarise everything in Table3 . The numbers n and in Table 3 satisfy n 9 and = 13; if n 2 (mod 3) 0; otherwise.... In PAGE 18: ... From Table 1, we get that there are 1 isomorphism class of orders with d(O3) = (72) = (32) in H 3 and 3 in M2(Q3). Furthermore, Table3 implies... ..."

### Table XVIII. Automation Support for 75 WIMP UE Methodsa Method Class Automation Type

2001

Cited by 80

### Table XX. Automation Support for 57 Web UE Methodsa Method Class Automation Type

2001

Cited by 80

### Table 1 Typical numbers with high frequencies of occurrence

2005

"... In PAGE 2: ... The frequency of occurrence of numbers in the World Wide Web pages (or, words, WWW documents) necessarily reflects the distribution of numbers in al documents, allowing us to effectively study their statistics by using search which usually supply the approximate number of pages containing the Arabic that we are looking for. In this respect, the WWW provides us with huge statis the frequencies of occurrence of distinct kinds of numbers are very differen example, one can see that 777 and 1000 occur much more frequently th neighbors ( Table1 ). Here we report on the markedly distinct statistics of differ of natural numbers (or, rather, positive integers) in the WWW documents, through the currently most popular search engine [7].... ..."