Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms ...

and experimental algorithm analysis. Examines several design issues, including selection of data structures based on operations to be optimized, algorithm encapsulation using classes and templates, ...

Instead, start with the basics and learn to do two things: 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 ...

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 ...

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 search ...

Basic data structures: Heaps, and Binary Search Trees. Algorithm Design Approaches: Divide and Conquer including analysis using recurrences Greedy Algorithms Dynamic Programming Algorithms Algorithms ...

Through these algorithms the student will be introduced to the analysis of algorithms -- i.e ... In this module, the student will learn about the basics of data structures that organize data to make ...

The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis ... to reveal the desired hidden structure that underlies the ...

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