Gain insights into implementing array-based and linked list data structures, explore advanced structures like skiplists, hashing, and graphs, and learn reusable, template-based collections for efficient data analysis.

java.tar.gz

Java

Java-1

Data structures and algorithms are essential in computer science since they play a crucial role in efficient information retrieval and processing, dealing with files, storing contacts on phones, social networks and web searches.

In this course, you’ll learn about the array-based implementation of various linear data structures, stack, and queues. You’ll also learn about linked list-based implementation. Next, you’ll explore advanced data structures like skiplists and hashing. You’ll learn how to implement a variety of trees and graphs, and data structures related to bits of an integer. Toward the end of the course, you’ll learn the implementation of structures based on external storage.

After completing this course, you’ll be able to create reusable programs with template-based collections that can efficiently analyze how to optimize the storage and retrieval of very large amounts of data. Overall, this course will enhance your productivity and performance as a software developer.

Data Structures with Generic Types in Java

# Task

A #key# _universal sink_: A universal sink, v, is also sometimes called a celebrity: Everyone in the room recognizes v, but v doesn’t recognize anyone else in the room. #key# in a graph $G$ is a vertex that is the target of $n − 1$ edges and the source of no edges. Design and implement an algorithm that tests if a graph $G$, represented as an `AdjacencyMatrix`, has a universal sink. This algorithm runs in $O(n)$ time.

# Solution
Here is the code that finds the universal sink in a graph $G$. It consists of the method `findUniSinkOn()` which is used to find a universal sink in a directed graph.




Review the solution code that finds a universal sink in an AdjacencyMatrix.

Overview

Array-Based Lists

Linked Lists

Skiplists

Hash Tables

Binary Trees

Random Binary Search Trees

Scapegoat Trees

Red-Black Trees

Heaps

Sorting Algorithms

Graphs

Data Structures for Integers

External Memory Searching

Wrap Up

Solution: Graphs