How to Solve Algorithm Problems. Make Coding Interview Preparation Less Painful

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Table of Contents GuideBook How to Solve Algorithms Problems? Make Coding Interview Preparation Less Painful Preface How to Solve Algorithm Problems How Should You Read This Guide? Notion Template: Learn Algorithms By Doing What Is The Goal Of This Guide? What Should You Expect After Completing This Guide? Learning Cycle & Interview Assessment Factors 2.1 Understanding the Learning Cycle 2.1.1 Beginner Phase 2.1.2 Experienced Phase 2.1.3 Senior Phase 2.2 Interview Assessment Factors 2.2.1 Understanding of Algorithms and Data Structures 2.2.2 Problem-Solving Skills 2.2.3 Attention To Detail 2.2.4 Code Efficiency 2.2.5 Time Complexity Analysis 2.2.6 Modular Code 2.2.7 Debugging 2.2.8 Communication Solving Algorithm Problems 3.1 Steps to Solve Algorithm Problems 3.1.1 Understand the Problem 3.1.2 Formalize the Problem 3.1.3 Repeat Reading the Question Yourself 3.1.4 Bring Input Examples 3.1.5 Develop a Brute-Force Solution 3.1.6 Analyze Time and Space Complexities For the Brute-Force Solution 3.1.7 Optimize The Brute-Force Solution 3.1.8 Analyze Time and Space Complexities For the Optimized Solution 3.2 KSum Family Problems 3.2.1 The 2Sum Problem 3.2.2 The 3Sum Problem 3.2.3 KSum 4.1. FGCC Framework 4.1.1 What is FGCC? 4.1.2 A Mental Framework 4.1.3 Steps To Apply FGCC Framework 4.2. FGCC In Practice 4.2.1 Introduction to Backtracking Technique 4.2.1.1 Finding Permutations Solution 4.2.1.2 Finding Combinations 4.2.1.3 Letter Combinations of a Phone Number 4.2.2 The Pillars of the FGCC Framework 5. Top #3 Algorithm Techniques 5.1 Two Pointers 5.1.1 Code Example 5.1.2 Usage 5.1.3 Data Structures 5.2 Breadth-First Search (BFS) 5.2.1 Code Example 5.2.2 Usage 5.2.3 Data Structures 5.3 Depth-First Search (DFS) 5.3.1 Usage 5.3.2 Data Structures 6. Supplements 6.1 Detect a Linked List Cycle 6.1.1 Problem Description 6.1.2 I/O Examples 6.1.3 Solution 6.1.4 Complexity Analysis 6.2 Remove the Nth Node From the End of a Linked List 6.2.1 Problem Description 6.2.2 I/O Examples 6.2.3 Solution 6.2.4 Complexity Analysis 6.3 Swapping Linked List Node Pairs 6.3.1 Problem Description 6.3.2 I/O Examples 6.3.3 Solution 6.3.4 Complexity Analysis 6.4 Validate Binary Search Tree 6.4.1 Problem Description 6.4.2 I/O Examples 6.4.3 Solution 6.4.4 Complexity Analysis 6.5 Same Binary Tree 6.5.1 Problem Description 6.5.2 I/O Examples 6.5.3 Solution 6.5.4 Complexity Analysis 6.6 Symmetric Binary Tree 6.6.1 Problem Description 6.6.2 I/O Examples 6.6.3 Solution 6.6.4 Complexity Analysis References Acknowledgments About the Author