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.

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 ...

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

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

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 ...

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.

Persistent memory, offering non-volatility with near-DRAM speeds, has enabled the development of PM-aware data structures that skilfully balance the demands of performance, reliability, and ...

Furthermore, advancements in approximation algorithms have enhanced the accuracy and speed of computing the discrete Fréchet distance, thereby expanding the range of practical applications, from ...

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 ...