2.5 KiB
2.5 KiB
DSA Tricks & Patterns
Common Patterns
Sliding Window
Use when: contiguous subarray/substring, "longest/shortest/most k" Template:
int left = 0;
for (int right = 0; right < n; right++) {
// expand window
while (/* window invalid */) {
// shrink window
left++;
}
// update answer
}
Two Pointers
Use when: sorted array, palindrome, pair sum Template:
int l = 0, r = n - 1;
while (l < r) {
if (/* condition */) l++;
else r--;
}
Binary Search
Use when: monotonic function, "minimum maximum", "first/last" Template:
int lo = 0, hi = n;
while (lo < hi) {
int mid = lo + (hi - lo) / 2;
if (/* check(mid) */) hi = mid;
else lo = mid + 1;
}
BFS vs DFS
- BFS: shortest path (unweighted), level-order, queue
- DFS: path existence, backtracking, cycle detection, stack/recursion
Union-Find
Use when: connected components, cycle detection, grouping
- Path compression + union by rank = O(α(n))
Monotonic Stack
Use when: next greater/smaller element, stock span Template:
stack<int> st;
for (int i = 0; i < n; i++) {
while (!st.empty() && st.top() < arr[i]) {
// process st.top()
st.pop();
}
st.push(i);
}
Topological Sort
Use when: dependency ordering, DAG, course schedule
- Kahn's (BFS + in-degree) or DFS post-order reversal
Dijkstra's
Use when: shortest path, non-negative weights, weighted graph
- Priority queue + relaxation
Bit Manipulation Tricks
- ~x = -x - 1
- x & (x - 1) clears lowest set bit
- x & -x isolates lowest set bit
- XOR swap: a ^= b; b ^= a; a ^= b;
KMP / Z-Algorithm
Use when: pattern matching, repeated substrings
- KMP: O(n + m), failure function
- Z: O(n + m), Z-array
DP State Design
- Ask: what do I need to track? (index, remaining, previous choice)
- State = f(index, constraint1, constraint2, …)
- Space optimize with rolling array when only previous row needed
Graph Coloring (2-coloring / Bipartite)
Use when: odd cycle check, two groups
- BFS/DFS alternating colors
Prefix Sum
Use when: subarray sum, range queries
- Build once O(n), query O(1)
Trie
Use when: prefix search, autocomplete, word dictionary
- Each node = character, path = word
Heap / Priority Queue
Use when: k-th element, merge k sorted, median maintenance
- C++: `priority_queue` (max-heap by default)
Fast & Slow Pointers
Use when: cycle detection, linked list midpoint
- Floyd's tortoise and hare