Backtracking
Starred by 25+ users, GitHub Repo: LeetCode Pattern 500 offers:
- 500 solutions for LeetCode problems in Python and Java
- 17 notes on essential concepts related to data structures and algorithms
- 130 patterns for solving LeetCode problems
backtracking
intro
- backtracking like dfs on a tree
- if a problem need try and error (make decisions) to enum every res, then use backtracking
- making decisions
- each round we got multi choices (must pick one)
- each round we choose sth or not choose
- notice elements are duplicate or unique
- if so, we need to take care of pruning
- notice elements can be chosen repeatedly or not
- if not, we need to maintain a memo
- notice that inside backtracking, we can use the boolean value as a return value to indicate whether there is a valid answer or not
- making decisions
def backtrack(res, path, count, visited, index/node):
if BOUND_REACHED:
if GOAL_REACHED:
RECORD_RESULT
return
for CHOCIE in CHOICES:
if CHOICE is VALID:
MAKE_CHOICE
backtrack(res, path, count, visited, index/node)
UNDO_CHOICE
pattern
- subset
- a subset is composed of none or some or all elements from a set
- permutation
- a permutation is an ordered selection of a certain number of elements from a set
- combination
- a combination is an unordered selection of a certain number of elements from a set
- backtracking with constraints
- make choices and backtrack based on certain constraints or conditions