The key to a solid foundation in data structures and algorithms is not an exhaustive ... on a real-world problem and discover that a hash is the solution to your performance woes.

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 ...

Hash functions are algorithms that determine how information ... Hash functions are commonly used data structures in computing systems for tasks such as checking the integrity of messages and ...

Next, we introduce the heap data structure and the basic properties of heaps. This is followed by algorithms for insertion ... We will learn about the basic principles of hash-table and operations on ...

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 ...

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 ...

The team led by Professor Simon J. Puglisi focuses on efficient algorithms and data structures for searching, storing, and manipulating strings, trees and graphs, and applications thereof (like ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

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