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Binary Tree

Binary Tree

Categories: DSA
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About Course

Welcome to “Mastering Binary Trees,” an in-depth course designed to equip you with a comprehensive understanding of binary trees, a cornerstone of computer science. Throughout this course, you’ll explore the intricacies of binary trees, from their fundamental principles to advanced techniques, empowering you to leverage their power in your programming projects.

Binary trees, with their hierarchical structure comprising nodes and edges, are pivotal for efficient data storage and retrieval. In this course, we’ll start by demystifying the anatomy of binary trees, understanding node relationships and tree traversal techniques.

From there, we’ll delve into essential operations such as insertion, deletion, and searching within binary trees. You’ll gain practical experience implementing these operations and learn how they impact the structure and performance of the tree.

Balanced binary trees, including AVL trees and red-black trees, will be explored in-depth, shedding light on how they maintain equilibrium for optimal performance. Real-world applications of binary trees, from binary search trees (BSTs) to expression trees, will showcase their versatility and relevance in various domains.

Throughout the course, hands-on exercises and projects will reinforce your understanding and proficiency in working with binary trees. You’ll tackle coding challenges, debug algorithms, and optimize performance, honing your skills for real-world applications.

Advanced topics like threaded binary trees, binary indexed trees (Fenwick trees), and segment trees will expand your knowledge and provide additional tools for solving complex problems efficiently.

By the course’s end, you’ll emerge as a confident binary tree practitioner, ready to tackle programming challenges with precision and efficiency. Whether you’re designing algorithms, optimizing data structures, or building software applications, mastery of binary trees will elevate your programming prowess.

Join us on this journey to unlock the full potential of binary trees and elevate your data structure mastery!

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Course Content

Property Based Problems

  • Count Leaves in Binary Tree
  • Balanced Binary Tree
  • Foldable Binary Tree
  • Count good node in binary tree
  • Sum of Left Leaves
  • Sum of Nodes with Even-Valued Grandparent
  • Maximum Depth of Binary Tree
  • Minimum Depth of Binary Tree
  • Maximum Width of Tree
  • Maximum Width of Binary Tree
  • Check for children sum property in binary tree
  • All Nodes Distance K in Binary Tree
  • Find Duplicate Subtrees
  • Flatten Binary Tree to Linked List
  • Remove Half Nodes
  • Recover a Tree From Preorder Traversal
  • Maximum Difference Between Node and Ancestor
  • Number of Turns in Binary Tree
  • Lowest Common Ancestor of a Binary Tree
  • Min distance between two given nodes of a Binary Tree
  • Maximum Product of Splitted Binary Tree
  • Height of Spiral Tree
  • Lowest Common Ancestor of Deepest Leaves
  • Diameter of Binary Tree
  • Binary Tree Pruning
  • Most Frequent Subtree Sum

Level Order Traversal

Traversal Variants

Traversal Operations

Path Related Problems

Views and Boundaries

Construction and Conversion

Misc

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