and hash tables, and their physical representation. Discusses efficient sorting (quicksort and heapsort) and experimental algorithm analysis. Examines several design issues, including selection of ...

In this module, the student will learn about the basics of data structures that organize ... randomized quicksort/quickselect algorithms. We will learn open address hashing: a technique that ...

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 ...

A probabilistic data structure used for fast and space-efficient approximate membership testing, tolerating a controlled false positive rate. Hash Function: A deterministic algorithm that converts ...

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

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among ... world problem and discover that a hash is the solution to your performance ...

Introduces concepts used in algorithm design and analysis including criteria for selecting data structures to fit their applications. Topics include data and program representations, computer ...

A Merkle tree is a data encryption structure used in data management applications where data is sent through a hashing algorithm in different ways to create a hash that represents all of the data ...

A cryptographic hash function combines the message-passing capabilities of hash functions with security properties. Hash functions are algorithms ... are commonly used data structures in computing ...

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 ...