Udemy - Java DSA - LEETCODE Exercises - Trees and Graphs

Java DSA: LEETCODE Exercises — Trees & Graphs

https://WebToolTip.com

Published 8/2026
Created by Jitendra Suryavanshi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 40m ) | Size: 399.5 MB

Java DSA: LEETCODE Exercises — Trees & Graphs (Solution Code with Detailed Explanations) | Coding Practice Exercises

What you'll learn
⚡ Build custom Tree and Graph representations from scratch using Java's standard libraries, standard reference nodes, adjacency lists, and matrices.
⚡ Execute In-Order, Pre-Order, Post-Order, and Level-Order traversals using both clean recursive logic and explicit stack/queue iterations.
⚡ Perform insertion, deletion, searching, validation, and balancing operations on Binary Search Trees (BSTs) with optimal time efficiency.
⚡ Evaluate time and space complexity for recursive algorithms, factoring in call-stack memory depth and space trade-offs.
⚡ Identify when to apply Depth-First Search (DFS) versus Breadth-First Search (BFS) to solve reachability, pathfinding, and level-based search problems.
⚡ Detect cycles in directed/undirected graphs and implement Topological Sort using Kahn's Algorithm and DFS-based approaches.
⚡ Implement Dijkstra's Algorithm, Bellman-Ford, and Minimum Spanning Tree algorithms (Prim's and Kruskal's) using Java's PriorityQueue.
⚡ Build Disjoint Set Union (DSU) algorithms with Path Compression and Union by Rank to handle dynamic connectivity problems efficiently.
⚡ Construct Trie data structures to implement prefix matching, auto-complete features, and high-performance dictionary search routines.
⚡ Formulate dynamic programming solutions on hierarchical tree structures, such as tree diameter, maximum path sums, and subtree subproblems.
⚡ Handle critical edge cases seamlessly, including empty trees, single-node graphs, cyclic paths, self-loops, and memory pointers in Java.
⚡ Recognize recurring non-linear patterns within unseen technical interview questions and translate them into clean, idiomatic Java code.

Requirements
❗ Basic Java Syntax & Object-Oriented Fundamentals: You should be comfortable with core Java syntax (loops, conditionals, methods), standard data structures (List, Map, Set), and basic OOP concepts (classes, references, and null checks). No advanced framework experience is required.
❗ A Development Environment (IDE): A working installation of Java Development Kit (JDK 11 or higher) along with any modern Java IDE, such as IntelliJ IDEA, Eclipse, or Visual Studio Code, to run and debug the exercise solutions.