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Let i = n in (3.16). Then given a candidate (2,)0...29, we know bits 0 through 21 on the right-hand side of (3.16). On the left-hand side, there are 64 possible values for ( Z n - l ) 1 6 . . . 2 9 . For the correct 2,-1 and Z,, bits 16 through 21 on both sides of (3.16) must match. For any given Z,, there is a probability of about 1/64 that a given Zn-l matches in these six known bit positions. Since we have 64 putative ( Z n - 1 ) 1 6 ...29, we expect, on average, one of these 64 to match in the corresponding bits of the given 2,. Once we find a ( Z ,-1)16...29 that is consistent with a putative Z,, we can then fill in bits 0 through 15 of 2,-1 based on the right-hand side of (3.16). At this point, we have found a (putative) pair consisting of ( Z n - l ) 0 . . . 2 g and ( Z n ) 0 . . . 2 g , and we expect to find the same number of such pairs as we have putative ( Z n ) o . . . 2 9 . We can repeat this process for n - 1,n - 2, n - 3, . . ., and thereby obtain complete putative 2-lists of the form (Z~.)0...29, i = 0 , 1 , . . . ,n. for We can extend each putative 2,from 30 known bits to its full 32 bits as follows. From (3.16), we have



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trace(textList); //hello world textList.insertChildAfter(textList.child(0), " there"); trace(textList); //hello there world textList.insertChildBefore(textList.child(2), " beautiful"); trace(textList); //hello there beautiful world trace(typeof textList.insertChildAfter("hello", "HEY!")); //undefined

None of these methods applies to XMLList. All the methods modify their targets and return the modi ed target, as long as no errors are encountered. As you can see, these methods give you precise control over where you re inserting nodes in an XML structure.

(ZZ 8) = ZZ.-1 CRCinverse[(Z,)o...71 @ << @

The underlying idea of the experiment using platonic objects was to test whether the SMVM could handle this kind of problem In future, we will apply a similar strategy for estimating the pose of real objects in order to orient a robot gripper..





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Unlike inserting XML, there are no methods for deleting XML nodes. Instead, you simply use the delete operator. This removes a speci ed node from the tree. Let s say (hypothetically, of course) that I ve grown tired of Woody Allen s neurotic musings and want him taken off my list. Running the following code

delete movieList.movie[2]; trace(movieList.movie);

(3.17)

<movie id="123"> <title>Titus</title> <year>1999</year> <director>Julie Taymor</director> </movie> <movie id="456"> <title>Rushmore</title> <year>1998</year> <director>Wes Anderson</director> </movie>

You can use the delete operator with E4X expressions to delete combinations of nodes at once. You can simplify the structure of the movie by removing all information but the title:

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In this form, bits 22 and 23 are known on the right-hand side. But these correspond to bits 30 and 31 of 2i on the left-hand side, which allows us to fill in these (previously) unknown bits on the left-hand side. In this way, for each putative 2-list, we can determine bits 30 and 31 of Zi, for i = 1 , 2 , . . . , n, and we can thereby complete each ZZ., except for 2 0 . Note that we cannot determine bits 30 and 31 of 20 using (3.17), since Z Z . -is required on the right-hand side. Also note ~ that the expected number of putative 2-lists is equal to the number of putative Z,, that is, about 222. The number of putative 2-lists can be reduced as follows. For all putative ZZ., can determine the corresponding we values, then sort the resulting lists based on Zz-1, removing any duplicates. The savings provided by this refinement are explored further in Problem 29. In [13] it is suggested to carry out this reduction for 28 steps, which, it is claimed, reduces the expected number of 2-lists from 222 to 218. While this reduces the work by a factor of 24, the price that is paid is that 28 additional known plaintext bytes must be available. For simplicity, in the remainder of our discussion of this attack, we ignore this duplicate-reduction step. Consequently, we expect to have 222 putative 2-lists.

Figure 21.13 (a) Visually guided robot manipulation; (b) trinocular head for 3D object recognition.

delete movieList.movie.director; delete movieList.movie.year; trace(movieList); //<list> // <listName>My favorite movies</listName> // <movie id="123"> // <title>Titus</title> // </movie> // <movie id="456"> // <title>Rushmore</title> // </movie> // <movie id="789"> // <title>Annie Hall</title>

2 . At this point we have about 222 putative 2-lists, each of which is of the form Z1,Z2,. . . ,Z,. Now we rewrite (3.16) as

The delete operator works for attributes as well as nodes. In the following example, I remove all attributes from the movie Tron.

delete anotherMovie.@*; trace(anotherMovie); //<movie>... the id is gone. anotherMovie.@id = 222; //let s add the id attribute back.

@ CRCinverse[(Z,)o ...7],

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