Tree Algorithm

Top 10 Algorithms in Interview Questions

Getting ready for a tech job interview? Algorithms are really important! Companies often ask questions that require problem-solving skills. In this article, we’ll look at the top 10 algorithms that are commonly used in interviews. Each algorithm is like a powerful tool in your problem-solving toolbox. Knowing them well can really help you handle different technical challenges during interviews. Let’s break down these important algorithms to make your interview preparation more effective. If you’re getting ready for a coding interview, it’s essential to go through these problems.

Table of Content

  • Array Algorithms
  • String Alogrithms
  • Sorting Algorithms
  • Searching Algorithms
  • Recursion/Backtracking Algorithms
  • Greedy Algorithms
  • Tree Algorithms
  • Dynamic Programming Algorithms
  • Graph Algorithms
  • Bit Manipulation Algorithms

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1. Array Algorithm

Problem Maximum Subarray Sum Find the Missing Number Trapping Rain Water Maximum Product Subarray Find the equilibrium index of an array Leaders in an array Minimum Platforms Required for a Railway/Bus Station Rotate an array to the right by k steps Kth smallest/largest element in an array Maximum Length Bitonic Subarray...

2. String Algorithm

Problem Longest Palindromic Substring String Matching with Wildcard Edit Distance Longest Repeating Subsequence Count all distinct substrings of a given string Reverse words in a given string Check if a string is a rotated palindrome KMP Algorithm for Pattern Searching Minimum characters to be added at front to make string palindrome...

3. Sorting Algorithm

Problem QuickSort MergeSort HeapSort Counting Sort Radix Sort Bubble Sort Selection Sort Insertion Sort Shell Sort Bucket Sort...

4. Searching Algorithm

Problem Linear Search Binary Search Ternary Search Depth-First Search (DFS) Breadth-First Search (BFS) Fibonacci Search...

5. Recursion/Backtracking Algorithm

Problem N-Queens Problem Sudoku Solver Rat in a Maze Word Break Problem using Backtracking Subset Sum Problem Permutations of a given string Combination Sum Generate all possible valid IP addresses from given string Rat in a Maze with multiple steps or jump allowed...

6. Greedy Algorithm

Problem Fractional Knapsack Huffman Coding Job Sequencing with Deadlines Activity Selection Problem Greedy Algorithm to find Minimum number of Coins Minimum Number of Platforms Required for a Railway/Bus Station Maximum Length Chain of Pairs Minimize Cash Flow among a given set of friends who have borrowed money from each other Connect n Ropes with Minimum Cost Prim’s Minimum Spanning Tree (MST)...

7. Tree Algorithm

Problem Lowest Common Ancestor (LCA) Diameter of Binary Tree Binary Tree Level Order Traversal Serialize and Deserialize a Binary Tree Check if a Binary Tree is BST Inorder Traversal without Recursion Convert Binary Tree to Doubly Linked List Check if Two Trees are Identical Maximum Width of a Binary Tree Mirror of a Binary Tree...

8. Dynamic Programming Algorithm

Problem Longest Common Subsequence 0/1 Knapsack Matrix Chain Multiplication Longest Increasing Subsequence Maximum Sum Increasing Subsequence Coin Change Problem Longest Palindromic Subsequence Edit Distance Largest Sum Contiguous Subarray Longest Common Substring...

9. Graph Algorithm

Problem Dijkstra’s Algorithm Kruskal’s Algorithm Topological Sorting Bellman-Ford Algorithm Floyd Warshall Algorithm Prim’s Algorithm Depth-First Traversal of a Graph Breadth-First Traversal of a Graph Detect Cycle in a Directed Graph Articulation Points (or Cut Vertices) in a Graph...

10. Bit Manipulation Algorithm

Problem Find the Only Non-Repeating Element Count Total Set Bits Maximum XOR of Two Numbers in an Array Find the two non-repeating elements in an array of repeating elements Check if a number is sparse or not Count total set bits in all numbers from 1 to n Maximum subarray XOR in a given array Sum of XOR of all subarrays Find the element that appears once in an array where every other element appears twice Program to find whether a no is power of two...