Final answer:
To determine if one expression tree contains another as a subexpression, perform a depth-first traversal of the first tree, and at each node, initiate a matching procedure with the second tree. If a match is found, return true, otherwise, return false after the traversal.
Step-by-step explanation:
To design an algorithm that given two expression trees determines whether one represents a subexpression of the other, you must traverse both trees and compare their structures and node values. A subexpression is a part of an expression that is, by itself, a correct expression, and it can occur as any subtree within the larger expression tree.
Algorithm:
- Perform a depth-first traversal of the first expression tree.
- At each node, initiate a matching procedure with the root of the second expression tree.
- The matching procedure involves comparing the current node of the first tree to the current node of the second tree and recursively checking if the children match as well.
- If a complete match is found, return true indicating that the second tree is a subexpression of the first tree.
- If the traversal of the first tree is complete without a match, return false.
This algorithm checks all possible subtrees of the first tree to see if they match the second tree, ensuring that a subexpression, if it exists, will be identified.