How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work ...

I’ve focused on two data structure categories, Java arrays and linked lists, which are the basis of more complex data structures such as stacks, queues, trees, graphs, dictionaries/maps, and sets.

The Java Platform provides the most commonly used data structures in the form of the Collections Framework, and it provides a rich API to operate on them. This article explains the concepts behind ...

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

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.

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 ...

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 ...

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 ...

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 ...