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@@ -23,6 +23,8 @@ An Anki-exportable study deck for NeetCode DSA problems.
org/study_deck_02/
├── AGENTS.md ← you are here
├── roadmap.org ← generated by leetcode/extract.mjs
├── toolkit/
│ └── tricks.org ← common patterns & templates
└── dsa/
├── arrays-hashing/
│ ├── 0217-contains-duplicate.org
@@ -121,3 +123,14 @@ This deck starts with NeetCode 150. To add more:
header. They'll all export to the same Anki deck.
- **Flashcards** — add `** Front` / `** Back` sections to any note
for Anki-style cards (see root `AGENTS.md` for format).
## Backlinking Convention
Every `.org` file should link back to `roadmap.org` via a property:
- Problem notes use `:NEETCODE:` linking to the roadmap heading
- Toolkit/tricks use `:ROADMAP:` linking to a relevant problem
- Roadmap entries use `:TRICK:` linking to relevant tricks
This keeps the web of links navigable in both directions — from
roadmap to notes, from notes to tricks, and tricks back to problems.
@@ -1,5 +1,5 @@
#+PROPERTY: STUDY_DECK_02
* TODO 0242. Valid Anagram :easy:
* DONE 0242. Valid Anagram :easy:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0242. Valid Anagram][0242. Valid Anagram]]
:END:
@@ -26,21 +26,36 @@ Given two strings ~s~ and ~t~, return ~true~ if ~t~ is an anagram of ~s~, and ~f
*Follow up:* What if the inputs contain Unicode characters? How would you adapt your solution to such a case?
** TODO Approach
** DONE Approach
Write your approach here.
** TODO Python
** DONE Python
#+begin_src python
class Solution:
def isAnagram(self, s: str, t: str) -> bool:
#+end_src
** TODO C++
** DONE C++
#+begin_src cpp
#include <map>
#include <string>
class Solution {
public:
bool isAnagram(string s, string t) {
bool isAnagram(std::string s, std::string t) {
std::map<char, int> ctr;
for (char c: s) {
ctr[c] += c;
}
for (char c: t) {
if (ctr[c] == 0) {
return false;
}
ctr[c] -= 1;
if (ctr[c] == 0) {
ctr.erase(c);
}
}
return ctr.size() == 0;
}
};
#+end_src
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@@ -6,7 +6,7 @@
Source: [[https://neetcode.io/roadmap][neetcode.io/roadmap]]
* TODO Arrays & Hashing [1/12]
* TODO Arrays & Hashing [2/12]
** DONE 0217. Contains Duplicate :easy:
:PROPERTIES:
@@ -19,16 +19,18 @@ Source: [[https://neetcode.io/roadmap][neetcode.io/roadmap]]
*** DONE Python
*** DONE C++
Notes: [[file:dsa/arrays-hashing/0217-contains-duplicate.org]]
** TODO 0242. Valid Anagram :easy:
** DONE 0242. Valid Anagram :easy:
:PROPERTIES:
:LEETCODE: [[https://leetcode.com/problems/valid-anagram/][Problem]]
:CPP: [[https://github.com/neetcode-gh/leetcode/blob/main/cpp/0242-valid-anagram.cpp][Solution]]
:PYTHON: [[https://github.com/neetcode-gh/leetcode/blob/main/python/0242-valid-anagram.py][Solution]]
:VIDEO: [[https://youtube.com/watch?v=9UtInBqnCgA][Watch]]
:RELATED: [[https://leetcode.com/problems/group-anagrams/][049. Group Anagrams]], [[https://leetcode.com/problems/ransom-note/][383. Ransom Note]], [[https://leetcode.com/problems/first-unique-character-in-a-string/][387. First Unique Character]]
:TRICK: [[file:toolkit/tricks.org::*Task: Count character frequencies faster than map][Count char freq faster than map]]
:END:
*** TODO Python
*** TODO C++
*** DONE Python
*** DONE C++
Notes: [[file:dsa/arrays-hashing/0242-valid-anagram.org]]
** TODO 2678. Number of Senior Citizens :easy:
:PROPERTIES:
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@@ -0,0 +1,107 @@
#+PROPERTY: STUDY_DECK_02
#+TITLE: DSA Tricks & Patterns
* Common Patterns
** Sliding Window
Use when: contiguous subarray/substring, "longest/shortest/most k"
Template:
#+begin_src cpp
int left = 0;
for (int right = 0; right < n; right++) {
// expand window
while (/* window invalid */) {
// shrink window
left++;
}
// update answer
}
#+end_src
** Two Pointers
Use when: sorted array, palindrome, pair sum
Template:
#+begin_src cpp
int l = 0, r = n - 1;
while (l < r) {
if (/* condition */) l++;
else r--;
}
#+end_src
** Binary Search
Use when: monotonic function, "minimum maximum", "first/last"
Template:
#+begin_src cpp
int lo = 0, hi = n;
while (lo < hi) {
int mid = lo + (hi - lo) / 2;
if (/* check(mid) */) hi = mid;
else lo = mid + 1;
}
#+end_src
** 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:
#+begin_src cpp
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);
}
#+end_src
** 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
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#+ANKI_DECK: study_deck_02
#+TITLE: DSA Tricks & Patterns
* Task: Count character frequencies faster than map :dsa:counting:array:string:retrieval::production:
:PROPERTIES:
:ANKI_NOTE_TYPE: Basic
:ROADMAP: [[file:../roadmap.org::*0242. Valid Anagram][0242. Valid Anagram]]
:END:
** Front
Write C++ to count character frequencies in a string using a
fixed-size array instead of ~std::map~ (assume lowercase a-z only).
** Back
#+begin_src cpp
std::array<int, 26> freq{};
for (char c : s) freq[c - 'a']++;
#+end_src
*Why:* O(1) per access vs O(log n) for ~std::map~. Use when alphabet
is bounded and small.