Top 10 Algorithms to Crack Coding Interviews

A Quick Overview

Cracking coding interviews requires thorough preparation, including understanding various algorithms. Let's explore the top 10 algorithms that can help you ace coding interviews --->>

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Sorting is crucial for coding interviews, with frequently asked algorithms like merge sort and quick sort. Understanding time complexities is key.

1. Sorting

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Sliding window approach is a scoring topic in coding interviews. Be prepared to tackle questions involving maximum sums and size constraints.

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2. Sliding Window

Hashing questions, especially hash maps, are must-know algorithms for coding interviews. Learn the theory of hashing and practice at least 10-12 questions for good practice.

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3. Hashing

Binary search questions can be challenging, but identifying them is key. Thoroughly practice the algorithm to tackle questions involving maximizing/minimizing.

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4. Binary Search Algorithm

Recursion are generally on the tougher side of coding interviews. Practicing recursion can help with questions related to trees, graphs, dynamic programming, & linear strings.

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5. Recursion

Reversing a linked list has varying questions and various approaches. Learning how to reverse linked lists is considered very important for mastering linked lists.

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6. Reversing a Linked List

Understanding tree traversal concepts, including inorder, preorder, and postorder, is crucial for mastering trees. Practice 10-20 tree questions to ace your coding interviews.

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7. Tree Traversal

Graph algorithms, such as DFS & BFS, are crucial for solving graph-related problems. Proper study and practice of these algorithms are crucial to success.

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8. Graph Algorithms

DP can be an advanced concept, but practicing recursion can help ease the fear of it. Writing brute-force recursion and memoization can help with DP questions.

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9. Dynamic Programming

A crucial concept in coding interviews, including heap building, sorting, heapify, and STL usage. Learning the theory and application can aid in problem-solving.

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10. Priority Queue

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