Algorithm Patterns - Interactive Coding Tutorials

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Crack FAANG with 14 DSA Patterns

Stop solving random problems. Master the patterns that appear in 90% of FAANG interviews

14
Core Patterns
100+
Practice Problems
500+
Success Stories
4.9/5 Rating
FAANG Tested
14 Essential Patterns

Master the Core Interview Patterns

A structured approach to mastering the patterns that appear in 90% of FAANG interview questions

14 Core Patterns
100+ Practice Problems
FAANG-Style Solutions
1

Two Pointer Pattern

Start Here

Master efficient array manipulation with two pointers

Core Concepts

  • Two pointer technique fundamentals
  • When to use two pointers
  • Common variations and templates

Problem Solving

  • Two Sum variations
  • Three Sum problems
  • Sliding window vs Two pointers
2

Sliding Window

Solve substring and subarray problems efficiently

Window Technique

  • Fixed vs Dynamic windows
  • Window size manipulation
  • Optimization techniques

Common Applications

  • Maximum sum subarrays
  • String pattern matching
  • Minimum window substring
3

Fast & Slow Pointers

Detect cycles and find middle elements

Floyd's Algorithm

  • Cycle detection in arrays
  • Linked list cycles
  • Finding cycle start

Pattern Applications

  • Middle of linked list
  • Happy number problem
  • Palindrome linked list
4

Merge Intervals

Handle interval-based problems effectively

Interval Basics

  • Sorting intervals
  • Overlapping detection
  • Interval merging logic

Advanced Topics

  • Meeting rooms problems
  • Insert interval variations
  • Interval list intersections
5

Cyclic Sort

Optimize sorting for numbers in range

Pattern Recognition

  • When to use cyclic sort
  • Array number properties
  • In-place sorting technique

Problem Types

  • Missing number variations
  • Duplicate number finding
  • Array permutations
6

In-place Reversal

Reverse linked lists with O(1) space

Reversal Technique

  • Basic list reversal
  • Partial list reversal
  • Memory optimization

Advanced Problems

  • K groups reversal
  • Alternating reversal
  • Sublist reversal
7

Tree BFS

Level-order tree traversal patterns

BFS Fundamentals

  • Queue-based traversal
  • Level tracking
  • Node connections

Common Problems

  • Level averages
  • Zigzag traversal
  • Level order successor
8

Tree DFS

Solve tree problems using recursion

DFS Patterns

  • Preorder traversal
  • Inorder traversal
  • Postorder traversal

Path Problems

  • Path sum variations
  • Tree diameter
  • Binary tree paths
9

Two Heaps

Manage data streams with dual heaps

Heap Basics

  • Max-heap vs Min-heap
  • Median maintenance
  • Stream processing

Applications

  • Find median from stream
  • Schedule tasks
  • Interval scheduling
10

Subsets

Generate combinations and permutations

Subset Pattern

  • Iterative generation
  • Recursive approach
  • Duplicate handling

Variations

  • Permutations
  • Combinations
  • String permutations
11

Modified Binary Search

Advanced binary search variations

Search Patterns

  • Order-agnostic search
  • Rotated array search
  • Bitonic array search

Complex Problems

  • Search range
  • Search insert position
  • Peak element
12

Greedy Algorithms

Make locally optimal choices

Greedy Approach

  • Optimal substructure
  • Greedy choice property
  • Solution building

Classic Problems

  • Activity selection
  • Fractional knapsack
  • Huffman coding
13

Backtracking

Systematic solution search with pruning

Core Concepts

  • State space tree
  • Constraint satisfaction
  • Pruning techniques

Famous Problems

  • N-Queens
  • Sudoku solver
  • Word search
14

Dynamic Programming

Final Project

Optimize solutions with memoization

DP Fundamentals

  • Optimal substructure
  • State definition
  • Memoization technique

Common Patterns

  • 0/1 Knapsack
  • Longest sequences
  • Grid traversal

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