Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues, linked lists, trees, heaps, priority queues, and hash tables, and their ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

Merkle trees are data structures that enhance the efficiency of ... applications where data is sent through a hashing algorithm in different ways to create a hash that represents all ...

Cryptographic hash functions combine message-passing ... Hash functions are data structures used in computing systems to ... Bitcoin uses the SHA-256 cryptographic hash function in its algorithm.

[3] A retrieval algorithm for encrypted speech based on convolutional neural network and deep hashing. Multimedia Tools and Applications (2020). Back to "Information Retrieval and Web Search" ...

“Their lower bound applies to all possible data structures, including ones that have not been invented yet.” That means no method of data storage can ever beat the Bender hash table in terms of memory ...