You’ll also learn what an algorithm is, how algorithms are represented, and how to use time and space complexity functions to compare similar algorithms.

Learn what a data structure is and how data structures are classified, as well as what an algorithm is, how to read and write algorithms using pseudocode, and how to use time and space complexity ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

By completing this specialization, you will be able to: Organize, store, and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity ...

Williams’ proof established a mathematical procedure for transforming any algorithm — no matter what it does — into a form that uses much less space. Ryan Williams stunned his colleagues with a ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

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 ...

Description 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 ...

Compared to the previous approach of, our algorithm improves the complexity from an exponential dependence on T to a nearly quadratic dependence, under the condition R < 1.

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 ...