traversal

I'm just getting started with neo4j, and I understand the principles of the graph and relationships, but I'm having a little bit of trouble with certain structures I want to model. I wanted to use it on a programming language project, and store the AST of a parsed source file. From there, I plan on adding a lot of additional data and relationships to the nodes to help with analysis and tooling, but the fundamental AST is still a little difficult. The naive way of making a tree would be to simply walk the AST and copy every node in the tree to a node in neo4j, using properties to keep track of

I was thinking about unzipping operations and realized that one way to express them is by traversing in a Biapplicative functor. import Data.Biapplicative class Traversable2 t where traverse2 :: Biapplicative p => (a -> p b c) -> t a -> p (t b) (t c) -- Note: sequence2 :: [(a,b)] -> ([a], [b]) sequence2 :: (Traversable2 t, Biapplicative p) => t (p b c) -> p (t b) (t c) sequence2 = traverse2 id instance Traversable2 [] where traverse2 _ [] = bipure [] [] traverse2 f (x : xs) = bimap (:) (:) (f x) <<*>> traverse2 f xs It smells to me as though every instance of Traversable can be transformed

I have the following XML code that I'm trying to parse, but I'm sure of how to traverse some of the data in PHP: <entry> <id>http://data.treasury.gov:8001/Feed.svc/DailyTreasuryYieldCurveRateData(5360)</id> <title type="text"></title> <updated>2011-06-09T20:15:18Z</updated> <author> <name /> </author> <link rel="edit" title="DailyTreasuryYieldCurveRateDatum" href="DailyTreasuryYieldCurveRateData(5360)" /> <category term="TreasuryDataWarehouseModel.DailyTreasuryYieldCurveRateDatum" scheme="http://schemas.microsoft.com/ado/2007/08/dataservices/scheme" /> <content type="application/xml"> <m

To make things easier, the table contains all the words in the English dictionary. What I would like to do is be able to store the data as a trie. This way I can traverse the different branches of the trie and return the most relevant result. First, how do I store the data in the table as a trie? Second, how do I traverse the tree? If it helps at all, the suggestion in this previous question is where this question was sparked from. Please make sure it's SQL we're talking about. I understood the Mike Dunlavey's C implementation because of pointers but can't see how this part (The trie itself)

If I have a Class like below. How do i traverse through it until its property SomeObjects.count = 0 public class SomeObject { public String Name { get; set; } public List<SomeObject> SomeObjects { get; set; } } Many Thanks Here is a generic example of how you can traverse a composite object: public static class TraversalHelper{ public static void TraverseAndExecute<T>(this T composite, Func<T,IEnumerable<T>> selectChildren, Action<T> action) where T: class { action.Invoke(composite); composite.TraverseAndExecute(selectChildren, action, new List<T>{ composite }); } private static void

I came across solution given at http://discuss.joelonsoftware.com/default.asp?interview.11.780597.8 using Morris InOrder traversal using which we can find the median in O(n) time. But is it possible to achieve the same using O(logn) time? The same has been asked here - http://www.careercup.com/question?id=192816 If you also maintain the count of the number of left and right descendants of a node, you can do it in O(logN) time, by doing a search for the median position. In fact, you can find the kth largest element in O(logn) time. Of course, this assumes that the tree is balanced. Maintaining

I'm reading the Cormen algorithms book (binary search tree chapter) and it says that there are two ways to traverse the tree without recursion: using stack and a more complicated but elegant solution that uses no stack but assumes that two pointers can be tested for equality I've implemented the first option (using stack), but don't know how to implement the latter. This is not a homework, just reading to educate myself. Any clues as to how to implement the second one in C#? Sure thing. You didn't say what kind of traversal you wanted, but here's the pseudocode for an in-order traversal. t =