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CAMSHAFT ANGLE (DEGREES) PRESSURE ANGLE (DEGREES) 77683 66478 55560 45138 35412 26570 18781 12195 06937 03108 00781 00000 00000 00781 03108 06937 12195 18781 26570 35412 45138 55560 66478 77683 88975 100272 111552 122795 133980 145087 156098 27242 27302 27353 27395 27429 27454 27473 27486 27494 27498 27500 27500 27500 27500 27498 27494 27486 27473 27454 27429 27395 27353 27302 27242 27172 27093 27005 26907 26801 26685 26560 23350 19993 16718 13588 10665 08005 05660 03676 02092 00937 00235 00000 00000 -00235 -00937 -02092 -03676 -05660 -08005 -10665 -13588 -16718 -19993 -23350 -26728 -30100 -33459 -36799 -40111 -43388 -46624 -1215410 -1197674 -1156628 -1093069 -1008235 -903776 -781727 -644462 -494653 -335217 -169255 00000 00000 -169255 -335217 -494653 -644462 -781727 -903776 -1008235 -1093069 -1156628 -1197674 -1215410 -1215410 -1212119 -1206203 -1197674 -1186552 -1172860 -1156628

Part I:

Calculate the (positive) area, between the graph of f (x) = x 3 2x 2 11x + 12 and the x-axis, between x = 3 and x = 4

InStockStatus[] statusList = new InStockStatus(1424, new InStockStatus(7892, new InStockStatus(8534, new InStockStatus(6411, };

FOLLOWER ANGLE (DEGREES)

{ true), false), true), true)

// Create a query that joins Item with InStockStatus to // produce a list of item names and availability Notice // that a sequence of Temp objects is produced var inStockList = from item in items join entry in statusList on itemItemNumber equals entryItemNumber select new Temp(itemName, entryInStock); ConsoleWriteLine("Item\tAvailable\n"); // Execute the query and display the results foreach(Temp t in inStockList) ConsoleWriteLine("{0}\t{1}", tName, tInStock); } }

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CAMCO B-12345 (SAMPLE) FOLLOWER RADIUS FOLLOWER VELOC FOLLOWER ACCEL (INCHES) (INCHES/SEC) (INCH/SEC/SEC) 12922 13029 13274 13668 14229 14984 15972 17246 18887 21010 23791 27500 27500 23791 21010 18887 17246 15972 14984 14229 13668 13274 13029 12922 12913 12922 12944 12979 13027 13087 13159

SOLUTION Consider Fig 416 It was drawn using the technique of Section 31, and it plainly shows that f is positive on [ 3, 1] and negative on [1, 4] From the

The output is shown here:

To understand how join works, let s walk through each line in the query The query begins in the normal fashion with this from clause:

RADIUS OF CURV (INCHES)

This clause specifies that item is the range variable for the data source specified by items The items array contains objects of type Item, which encapsulate a name and a number for an inventory item Next comes the join clause shown here:

1 3 1 3

This clause specifies that entry is the range variable for the statusList data source The statusList array contains objects of type InStockStatus, which link an item number with its status Thus, items and statusList have a property in common: the item number This is used by the on/equals portion of the join clause to describe the correlation Thus, join matches items from the two data sources when their item numbers are equal Finally, the select clause returns a Temp object that contains an item s name along with its in-stock status:

1240000 1250000 1260000 1270000 1280000 1290000 1300000 1310000 1320000 1330000 1340000 1350000 2250000 2260000 2270000 2280000 2290000 2300000 2310000 2320000 2330000 2340000 2350000 2360000 2370000 2380000 2390000 2400000 2410000 2420000 2430000

19:

select new Temp(itemName, entryInStock);

1240000 1250000 1260000 1270000 1280000 1290000 1300000 1310000 1320000 1330000 1340000 1350000 2250000 2260000 2270000 2280000 2290000 2300000 2310000 2320000 2330000 2340000 2350000 2360000 2370000 2380000 2390000 2400000 2410000 2420000 2430000

Therefore, the sequence obtained by the query consists of Temp objects Although the preceding example is fairly straightforward, join supports substantially more sophisticated operations For example, you can use into with join to create a group join, which creates a result that consists of an element from the first sequence and a group of all matching elements from the second sequence (You ll see an example of this a bit later in this chapter) In general, the time and effort needed to fully master join is well worth the investment because it gives you the ability to reorganize data at runtime This is a powerful capability This capability is made even more powerful by the use of anonymous types, described in the next section

1 3 4

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