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In computer science, tree traversal (also known as tree search and walking the tree) is a form of graph traversal and refers to the process of visiting (e.g. retrieving, updating, or deleting) each node in a tree data structure, exactly once.
The simple Sethi–Ullman algorithm works as follows (for a load/store architecture): . Traverse the abstract syntax tree in pre- or postorder . For every leaf node, if it is a non-constant left-child, assign a 1 (i.e. 1 register is needed to hold the variable/field/etc.), otherwise assign a 0 (it is a non-constant right child or constant leaf node (RHS of an operation – literals, values)).
Postorder - This is a typical iteration order for backward data-flow problems. In postorder iteration , a node is visited after all its successor nodes have been visited. Typically, the postorder iteration is implemented with the depth-first strategy.
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Fig. 1: A binary search tree of size 9 and depth 3, with 8 at the root. In computer science, a binary search tree (BST), also called an ordered or sorted binary tree, is a rooted binary tree data structure with the key of each internal node being greater than all the keys in the respective node's left subtree and less than the ones in its right subtree.
It is a generalization to potentially-infinite trees of the postorder traversal of a finite tree: at every node of the tree, the child subtrees are given their left to right ordering, and the node itself comes after all its children. The fact that the Kleene–Brouwer order is a linear ordering (that is, that it is transitive as well as being ...
A threaded tree, with the special threading links shown by dashed arrows. In computing, a threaded binary tree is a binary tree variant that facilitates traversal in a particular order.
A binary expression tree is a specific kind of a binary tree used to represent expressions.Two common types of expressions that a binary expression tree can represent are algebraic [1] and boolean.