hash tables graphs
Overview
This lesson introduces Hash Tables and Graphs, two fundamental data structures with distinct applications in computer science. Hash Tables provide efficient data storage and retrieval using hash functions, while Graphs model relationships between entities, enabling solutions to complex network problems.
Introduction to Hash Tables
Hash tables are powerful data structures designed for **fast data retrieval and insertion**. They operate by using a **hash function** to compute an index into an array, where the desired value is stored. This allows for an average time complexity of O(1) for operations like search, insert, and dele...
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Key Concepts
- Hash Table: A data structure that maps keys to values using a hash function for efficient data access.
- Hash Function: An algorithm that converts an input key into an index in an array (hash table).
- Collision: Occurs when a hash function generates the same index for two different keys.
- Graph: A non-linear data structure consisting of a set of vertices (nodes) and a set of edges (connections) between them.
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Exam Tips
- →For Hash Tables, be prepared to explain hash functions, demonstrate collision resolution (chaining, linear probing), and discuss their time complexities.
- →When asked about Graphs, clearly define vertices, edges, and distinguish between directed/undirected and weighted/unweighted graphs.
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