Enhance Your Learning with Hashing Flash Cards for quick learning
A technique used in computer science to map data of arbitrary size to fixed-size values, typically used for efficient data retrieval and storage.
A mathematical function that takes an input (or key) and returns a fixed-size string of characters, which is typically used to index data in a hash table.
The process of handling two different keys that hash to the same index in a hash table, ensuring that all keys can be stored and retrieved correctly.
A data structure that implements an associative array abstract data type, where keys are mapped to values using a hash function.
A collision resolution technique in hash tables where if a collision occurs, the next available slot (in a linear or quadratic manner) is used to store the key-value pair.
A collision resolution technique in hash tables where if a collision occurs, the key-value pairs are stored in separate data structures (e.g., linked lists) at the same index.
The ratio of the number of elements stored in a hash table to the total number of slots, indicating how full the hash table is and affecting its performance.
A collision resolution technique in open addressing where if a collision occurs, the next available slot is found by incrementing the index linearly until an empty slot is found.
A collision resolution technique in open addressing where if a collision occurs, the next available slot is found by incrementing the index quadratically until an empty slot is found.
A collision resolution technique in open addressing where if a collision occurs, the next available slot is found by using a second hash function to calculate the step size.
A collision resolution technique in closed addressing where if a collision occurs, the key-value pairs are stored in separate data structures (e.g., linked lists) at the same index.
A technique in which there are no collisions, achieved by using a hash function that guarantees unique hash values for each key.
The use of hash functions in cryptography to ensure data integrity, password storage, digital signatures, and other security applications.
The use of hash functions in databases for indexing, searching, and ensuring data integrity and consistency.
The use of hash functions in data structures like hash tables, hash sets, and hash maps for efficient storage and retrieval of data.
The use of hash functions in networking protocols for load balancing, routing, packet filtering, and other network-related tasks.
The use of hash functions in search algorithms like hash-based search trees and hash-based indexing for fast searching and retrieval of data.
The use of hash functions in caching systems to store frequently accessed data in memory for faster retrieval and improved performance.
The use of hash functions in distributed systems for load balancing, data partitioning, consistent hashing, and other distributed computing tasks.
The use of hash functions in parallel computing for data partitioning, load balancing, synchronization, and other parallel processing tasks.
The use of hash functions in file systems for file organization, indexing, deduplication, and ensuring data integrity and consistency.
The use of hash functions in compilers for symbol table management, identifier hashing, and other compiler-related tasks.
The use of hash functions in natural language processing for text indexing, document similarity, word frequency counting, and other NLP tasks.
The use of hash functions in machine learning for feature hashing, dimensionality reduction, data preprocessing, and other ML tasks.
The use of hash functions in image processing for image indexing, content-based image retrieval, image similarity matching, and other image-related tasks.
The use of hash functions in information retrieval systems for document indexing, query processing, relevance ranking, and other IR tasks.
The use of hash functions in graph algorithms for graph representation, graph traversal, cycle detection, shortest path finding, and other graph-related tasks.
The use of hash functions in blockchain technology for data integrity, transaction verification, proof of work, and other blockchain-related tasks.
The use of hash functions in cloud computing for data partitioning, load balancing, data deduplication, and other cloud-related tasks.
The use of hash functions in big data processing for data partitioning, distributed computing, data shuffling, and other big data-related tasks.
The use of hash functions in IoT systems for device identification, data integrity, secure communication, and other IoT-related tasks.
The use of hash functions in cybersecurity for password hashing, digital signatures, message authentication codes, and other security-related tasks.
The use of hash functions in AI systems for state representation, game playing, pattern recognition, and other AI-related tasks.
The use of hash functions in web development for URL hashing, password storage, session management, and other web-related tasks.
The use of hash functions in operating systems for process scheduling, file caching, memory management, and other OS-related tasks.
The use of hash functions in mobile applications for data encryption, secure storage, user authentication, and other mobile-related tasks.
The use of hash functions in game development for game state management, collision detection, object identification, and other game-related tasks.
The use of hash functions in social media platforms for hashtag indexing, content recommendation, user profiling, and other social media-related tasks.
The use of hash functions in e-commerce systems for product indexing, recommendation engines, user profiling, and other e-commerce-related tasks.
The use of hash functions in financial systems for data encryption, secure transactions, fraud detection, and other finance-related tasks.
The use of hash functions in healthcare systems for patient identification, medical record indexing, data privacy, and other healthcare-related tasks.
The use of hash functions in transportation systems for route optimization, vehicle tracking, traffic management, and other transportation-related tasks.
The use of hash functions in educational systems for student identification, course enrollment, data privacy, and other education-related tasks.