Advanced Data Structures and Algorithms in Java 9 [Video]

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Advanced Data Structures and Algorithms in Java 9 [Video]

Debasish Ray Chawdhuri

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Explore the world of advanced algorithms with Java 9

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Video Details

ISBN 139781788624213
Course Length3 hours and 6 minutes

Video Description

Advanced Data Structures and Algorithms in Java 9 covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This video is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. You will also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!

Style and Approach

This course is a step-by-step guide; each concept is explained before every exercise

Table of Contents

Efficient Sorting – Quicksort and Mergesort
The Course Overview
Quicksort
Mergesort
Concepts of Tree
A Tree Data Structure
The Tree Abstract Data Type
Binary Tree
More About Search – Search Trees and Hash Tables
Binary Search Tree
Self-Balancing Binary Search Tree
Red-Black Tree
Hash Tables
Advanced General Purpose Data Structures
Priority Queue ADT and Heap
Linked Heap
Binomial Forest
Sorting Using a Priority Queue and In-Place Heap Sort
Concepts of Graph
What is a Graph?
The Graph ADT and Adjacency Matrix
Adjacency List
Reactive Programming
Producer-Consumer Model
Functional Way of Reactive Programming

What You Will Learn

  • Handle reactive programming and its related data structures
  • Use binary search, sorting, and efficient sorting—quicksort and mergesort
  • Work with the important concept of trees and list all nodes of the tree, search trees, and balanced search trees
  • Apply advanced, general-purpose data structures, priority queue-based sorting, and random access immutable linked lists
  • Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much more

Authors

Table of Contents

Efficient Sorting – Quicksort and Mergesort
The Course Overview
Quicksort
Mergesort
Concepts of Tree
A Tree Data Structure
The Tree Abstract Data Type
Binary Tree
More About Search – Search Trees and Hash Tables
Binary Search Tree
Self-Balancing Binary Search Tree
Red-Black Tree
Hash Tables
Advanced General Purpose Data Structures
Priority Queue ADT and Heap
Linked Heap
Binomial Forest
Sorting Using a Priority Queue and In-Place Heap Sort
Concepts of Graph
What is a Graph?
The Graph ADT and Adjacency Matrix
Adjacency List
Reactive Programming
Producer-Consumer Model
Functional Way of Reactive Programming

Video Details

ISBN 139781788624213
Course Length3 hours and 6 minutes
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