Tree Structures
- Fact: Trees are hierarchical data structures with a root node and child nodes.
- Example:
- Binary Tree in Java: A tree structure where each node has at most two children, forming a hierarchical relationship.
Python3
# Example: Binary Tree in Java class TreeNode { int data; TreeNode left, right; public TreeNode( int item) { data = item; left = right = null; } } |
25 Interesting DSA Terms/Concepts Every Programmer Should Know
Data Structures and Algorithms (DSA) form the backbone of computer science, playing a pivotal role in efficient problem-solving and software development. Here are 25 interesting Data Structures and Algorithms (DSA) terms/concepts that every programmer should know. Understanding these concepts is crucial for developing efficient algorithms and solving a variety of programming challenges.
Table of Content
- Definition of Data Structure
- Types of Data Structures
- Importance of Algorithms
- Dynamic Arrays
- Linked Lists
- Time Complexity
- Space Complexity
- Tree Structures
- Hash Tables
- Graphs
- Searching Algorithms
- Sorting Algorithms
- Dynamic Programming
- Divide and Conquer
- NP-Completeness
- Heaps
- Trie Data Structure
- B-Trees
- AVL Trees
- In-Place Algorithms
- Bellman-Ford Algorithm
- Floyd-Warshall Algorithm
- Dijkstra’s Algorithm
- Big-O Notation
- NP-Hard Problems
Let’s delve into 25 intriguing concepts of DSA, each accompanied by detailed examples for a comprehensive understanding.