Examines several design issues, including selection of data structures based on operations to be optimized, algorithm encapsulation using classes and templates, and how and when to use recursion.

Design basic algorithms to implement sorting, selection, and hash functions in heap data structures; Course Content. Module 1 | Basics of Algorithms Through Searching and Sorting. ... This will also ...

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 ...

Specify, design and test new classes using the principle of information hiding for the following data structures: array-based collections (including dynamic arrays), list-based collections ...

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.

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 ...

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

Merkle trees are data structures that enhance the efficiency of ... applications where data is sent through a hashing algorithm in different ways to create a hash that represents all ...

Hash functions are algorithms that determine how information is encrypted. For example, Secure Hashing Algorithm 256 (SHA-256) goes through a process to encrypt the input it receives by ...