In this series, for the most part, I’ll focus on higher-level algorithms used to process data structures, such as the Binary Search and Matrix Multiplication algorithms.

When a program attempts to search a data structure for a particular item, it uses an algorithm. An algorithm is a process, defined in code, for carrying out a specific task.

Foundations of Data Structures and Algorithms Specialization Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and ...

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.

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 ...

Quantum Algorithms Prerequisites Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that ...

More broadly, the algorithm offers a nice lesson in the power of cross-pollination between technology and academia -- a link that Google, of course, has embodied from the start.