Algorithms + Data Structures 1.10.7

The application provides a comprehensive overview of computer algorithms, emphasizing interactivity and visualization of each step. Users can navigate through the algorithm using controls while witnessing its functionality.

The current version of the application includes coverage of fundamental computer algorithms and data structures:

1. DATA STRUCTURES
   • Array
   • Linked list
   • Stack
   • Queue
2. SORTING
   • Bubble sort
   • Selection sort
   • Insertion sort
   • Merge sort
   • Heap sort
   • Quick sort
3. BINARY SEARCH TREE
   • Pre-order traversal
   • In-order traversal
   • Post-order traversal
   • Breadth-first traversals
   • Inserting a node into binary search tree
   • Deleting a node from binary search tree
4. HASH-TABLE (chaining technique)
   • 1. Inserting data into a Hash-table
     2. Deleting data from a Hash-table
GRAPH Depth-first search,Breadth-first search,Minimum Spanning Tree,Dijkstra's algorithm,Graph Constructor The algorithms and data structures are visually represented along with code snippets demonstrating their implementations. A direct correlation between the code and visualization is maintained, with full algorithmic code accessible via external links. Although the provided code is in Java and Python, the explanation and visualization of algorithms remain language-independent. Algorithms and Data Structures caters to a diverse user base, requiring no prior programming expertise to grasp the content. However, familiarity with data structures (utilized by the algorithms) like binary trees, binary search trees, hash tables, and graphs is advisable before engaging with the app. This app may also interest seasoned programmers by offering efficient reviews of the mentioned algorithms. Unlike conventional resources such as books or videos, Algorithms and Data Structures enhances learning by involving users interactively, eliminating the need for frequent pauses or rewinds typically encountered in video content. The key benefit of Algorithms and Data Structures lies in its ability to aid material mastery with minimal time investment. Users can progress at their own pace, engaging actively with each step of the algorithm, thereby surpassing the limitations imposed by traditional learning mediums like video lectures.