Write a recursive method named divide that uses backtracking to divide the letters from word w into two words s1 and s2.
Each letter from w must be used exactly once either in s1 or s2, and the relative order of the letters must be preserved, meaning that s1 and s2 must both be subsequences of w.
For example, the word friendly can be divided into find + rely.
This solution is valid because s1 and s2 together contain all of the letters from w, the letters in s1 and s2 appear in the same relative order as they did in w, and both s1 and s2 are valid words in the English dictionary.
For some words, no valid division is possible.
For example, consider dividing the word stream.
It would not be valid to divide into star + me (relative order of letters not preserved),
nor stem + ram (reuses 'm'),
nor stem + a ('r' not used),
nor seam + tr (not in the dictionary).
You will be passed two parameters: a Lexicon of dictionary words, and the string w to divide.
Use the dictionary passed to ensure that the divided words are both found in the dictionary.
If the method finds a valid division, it prints the two words and searches no further.
If no valid division is found, the method prints nothing.
The following table lists some example calls to your method and possible console output, given a Lexicon called dict.
Rows showing blank output indicate calls that were unable to find any successful division of the given word.
| Call |
Possible Console Output |
divide(dict, "friendly") |
find + rely |
divide(dict, "standing") |
sting + and |
divide(dict, "midterm") |
mid + term |
divide(dict, "recuperate") |
cure + repeat |
divide(dict, "stream") |
|
divide(dict, "atomic") |
|
divide(dict, "czar") |
|
divide(dict, "xyz") |
|
If there are multiple valid divisions for word w, you may print any of them.
Regardless of which division you print, your code must stop after finding a single solution; do not find/print all possible solutions.
Efficiency: While your code is not required to have any particular Big-Oh, you should avoid code that is extremely inefficient or repeatedly re-explores the same path multiple times.
In particular, your recursive exploration should not continue exploring a path where the prefix of the word you are examining cannot possibly make a real English word.
Use the dictionary to help you prune such unwanted searches.
Pass all data structures by reference to avoid making copies.
Constraints:
- Do not declare any global variables.
- Your code can contain loops if needed to solve the problem, but your overall algorithm must be recursive and must use backtracking techniques to generate the results.
- You are allowed to define other "helper" methods if you like; they are subject to these same constraints.
