This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.

CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503 CSCA 5424: Approximation Algorithms and Linear Programming CSCA 5454: Advanced Data Structures, RSA and Quantum ...

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 ...

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.

Thinking about getting good at competitive programming, especially on a platform like CodeChef? It can seem like ...

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 ...

Node is a self-referential class with a name data field and a next link field. top is a reference variable of type Node that holds a reference to the first Node object in a singly linked list.

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

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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 ...