amejiarosario/dsa.js-data-structures-algorithms-javascript

Features

• Data Structure Implementations - Implements a comprehensive collection of data structures as JavaScript classes for educational reference.
• JavaScript Implementations - Implements foundational data structures and algorithms in JavaScript as an educational reference.
• Hash Maps - Implements hash maps for efficient key-value storage with average constant-time lookups.
• Non-Linear Data Structures - Provides a toolkit of self-balancing trees, hash maps, and graphs for efficient data organization.
• Algorithmic Reference Implementations - Provides modular code patterns and implementations of classic algorithms for educational study.
• Balanced Search Trees - Provides implementations of self-balancing tree structures to maintain logarithmic time complexity.
• Queue Implementations - Implements first-in-first-out queue data structures and related operations.
• Stack Data Structures - Implements last-in-first-out stack data structures with push and pop operations.
• Computer Science Education - Serves as a comprehensive educational resource for core computer science principles and complexity analysis.
• Algorithmic Problem Solving - Implements computational patterns like divide and conquer and dynamic programming for solving algorithmic challenges.
• Tree Data Structures - Designs and manages non-linear structures like binary search trees and graphs.
• Tree Map Implementations - Stores key-value pairs in sorted order using balanced trees to guarantee logarithmic lookups.
• JavaScript Implementations - Ships a library of fundamental data structures implemented specifically as JavaScript classes.
• Hierarchical Tree Structures - Implements hierarchical data structures including binary search trees, AVL trees, and graphs.
• Binary Search Trees - Implements binary search trees to maintain sorted data for efficient retrieval.
• Big O Notations - Provides tools for analyzing algorithm efficiency using Big O asymptotic notation.
• Complexity Analysis - Evaluates the scaling behavior of algorithms by mapping operation counts to Big O notation.
• Complexity Analysis - Provides tools and guides for evaluating algorithm time and space efficiency using Big O notation.
• Linked Data Structures - Provides sequential data structures using pointers to connect discrete nodes for efficient insertions.
• In-Memory Object Models - Stores internal data representations within the JavaScript runtime using in-memory object models.
• General Recursive Functions - Implements self-referencing functions for recursive sorting and tree traversal logic.
• Iterative and Recursive Traversals - Supports traversing linked lists, trees, and graphs using both iterative loops and recursive calls.
• Sequential Node Linking - Uses reference-based nodes to connect sequential data elements in linked lists.
• AVL Tree Operations - Uses node rotations in AVL trees to maintain logarithmic search complexity.
• Rotations - Implements tree balancing using rotations to ensure consistent search depth.
• Sorting and Searching Workflows - Implements and compares different sorting algorithms and search techniques for efficient data retrieval.
• Recursive Problem Solving - Employs recursive patterns and divide-and-conquer strategies to solve complex computational problems.
• In-Memory Data Structures - Maintains data structures using volatile JavaScript objects and arrays without external persistence.
• Divide and Conquer Sorts - Implements sorting algorithms that recursively split and merge sequences to reduce time complexity.
• Sorting Algorithms - Implements various comparison-based sorting algorithms including merge sort, quicksort, and bubble sort.
• Recursive Algorithms - Employs self-referencing function calls to implement tree traversal and divide-and-conquer sorting.
• Comparison-Based Sorting Implementations - Provides a library of comparison-based sorting algorithms from simple bubble sort to efficient quicksort.
• Quadratic Time Sorting - Implements simple quadratic-time sorting methods such as bubble, insertion, and selection sort.

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