This expression can then be determined by doing an Tree traversal of the tree.

Using the nested set model as described above has some performance limitations during certain tree traversal operations.

Tree traversal via a depth-first approach is a classic example of recursion.

The analyzers mainly perform two operations through tree traversal.

Tree traversal is a special case of graph traversal.

Sample code for recursive and iterative tree traversal implemented in C.

(Symbolic links encountered in the tree traversal are not followed.)

As noted by several string processing problems can be solved by the following kinds of tree traversals:

The first stage of collection does a tree traversal of the entire 'root set', marking each object that is pointed to as being 'in-use'.

A more sophisticated example is using a threaded binary tree, which allows iterative tree traversal, rather than multiple recursion.

Storing data in a way that makes it easily searchable (see binary search tree and tree traversal)

A common visual search approach is the tree traversal where a folder is opened and inside the display of that folder are further sub-folders.

One can read off the corresponding terminal string by performing an ordered tree traversal and recording the terminal symbols in the order they are encountered.

In this case the Elmore delay can be calculated in time O(N) with two tree traversals.

For instance, the result of "folding" a binary tree might differ depending on pre-order vs. post-order tree traversal.

The prefix expression formed by prefix traversal uses the standard pre-order tree traversal.

(a related concept to iteration order of a CFG is tree traversal of a tree).

To overcome this limitation and simplify Tree traversal an additional column is added to the model to maintain the depth of a node within a tree.

Structural recursion includes nearly all tree traversals, including XML processing, binary tree creation and search, et cetera.

This second phase does not require a tree traversal; it can be done linearly, and typically involves a simple replacement of intermediate-language operations with their corresponding opcodes.

In computer science, tree traversal refers to the process of visiting (examining and/or updating) each node in a tree data structure, exactly once, in a systematic way.

Bottom-up suffix tree traversal emulated using suffix array and LCP array (Java)

The nested set model is to number the nodes according to a tree traversal, which visits each node twice, assigning numbers in the order of visiting, and at both visits.

This tree traversal approach relies on the naming of folders to provide a rich enough indication as to what is contained in the next folder or level of folders.

Traversing a filesystem is very similar to that of tree traversal, therefore the concepts behind tree traversal are applicable to traversing a filesystem.