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 ...

This new paradigm enhances traditional in-memory data structures, facilitating rapid recovery and high throughput in both database systems and large-scale computing environments.

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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 ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data.

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 ...