[ready-oun] Week 03 solutions

combination-sum/ready-oun.java

@@ -0,0 +1,53 @@
+import java.util.*; 
+class Solution {
+    public List<List<Integer>> combinationSum(int[] candidates, int target) {
+        List<List<Integer>> result = new ArrayList<>(); 
+        List<Integer> temp = new ArrayList<>(); 
+
+        backtrack(candidates, target, 0, temp, result);
+        return result; 
+    }
+    private void backtrack(int[] candidates, int target, int start, List<Integer> temp, List<List<Integer>> result) {
+        if (target < 0) return; 
+        if (target == 0) {
+            result.add(new ArrayList<>(temp)); // deep copy
+            return; 
+        }
+
+        for (int i = start; i < candidates.length; i++) {
+            temp.add(candidates[i]); 
+            backtrack(candidates, target - candidates[i], i, temp, result); 
+            temp.remove(temp.size() -1); 
+        }
+
+    }
+}
+
+/**
+Return all unique combinations where the candidate num sum to target
+- each num in cand[] can be used unlimited times 
+- order of num in comb does NOT matter 
+
+1. use backtracking to explore all possible comb 
+2. backtrack, if current sum > target
+3. save comb, if current sum == target 
+4. avoid dupl -> only consider num from crnt idx onward (no going back)
+
+Time: O(2^target)
+Space: O(target)
+
+Learned: Backtracking vs DFS
+- DFS: search all paths deeply (no conditions, no rollback).
+- Backtracking = DFS + decision making + undo step.
+Explore, prune (if invalid), save (if valid), then undo last choice.
+
+    for (선택 가능한 숫자 하나씩) {
+        선택하고
+        target 줄이고 (목표 가까워짐)
+        재귀 호출로 다음 선택
+        실패하거나 성공하면 되돌리기 (백트래킹)
+    }
+
+DFS just visits everything,
+Backtracking visits only what’s promising — and turns back if not!
+ */