Lecture

Hash Functions and Tables

Related lectures (30)

Explores hash tables through the Birthday Paradox, collisions, and implementation methods.

Provides an overview of hashing and sorting techniques in database management systems, focusing on their implementation and performance optimization.

Explores pairwise independence in hashing to avoid collisions and achieve load balancing.

Covers the analysis of hash tables, including search operations and expected collisions.

Covers the Chord DHT in decentralized systems engineering, focusing on reliability, redundancy, and structure maintenance.

Explores probabilistic analysis in algorithms, covering the hiring problem and the birthday paradox, along with hash tables and functions.

Explores the analysis of running time in hash tables, covering successful searches, key distribution, and table size impact.

Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.

Covers the Chord algorithm for search and routing in distributed hash tables.

Explores hash collisions, attacks on hash functions, and strategies for exploiting them in file formats like JPEG and PDF.

Explores hash table efficiency, total functions in code modeling, and well-founded relations for recursive function termination.

Explains two-phase construction for arrays, hash tables, and search trees in parallel.

Covers counting distinct elements using hash functions and the median trick.

Covers the implementation of sets using hashing and set operations.

Explores hash functions, coding, and sharing code with practical exercises and discussions.

Covers the implementation of sets using a naive approach and discusses the inefficiencies of the S list 7 class.

Explores hashing fundamentals, applications in security, and common attacks on hash functions.

Covers cryptographic hash functions, message authentication codes, and block chains, including bitcoins, proof-of-work, and MAC variants.

Covers the implementation details of hash sets and related methods using IntelliJ IDEA.

Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.