[NulledPremium com] Problem Solving in Data Structures & Algorithms Using Java

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Book details

Paperback: 436 pages

Format: epub

Size: 2.73 MB

Publisher: CreateSpace Independent Publishing Platform; First Edition edition (October 21, 2016)

Language: English

ISBN-10: 1539724123

ISBN-13: 978-1539724124



Book’s Composition



This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures.Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer.

This book assumes that you are a Java language developer. You are not an expert in Java language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques.



In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. .



Table of Contents

Chapter 0: How to use this book.

Chapter 1: Algorithms Analysis

Chapter 2: Approach to solve algorithm design problems

Chapter 3: Abstract Data Type & JAVA Collections

Chapter 4: Searching

Chapter 5: Sorting

Chapter 6: Linked List

Chapter 7: Stack

Chapter 8: Queue

Chapter 9: Tree

Chapter 10: Priority Queue

Chapter 11: Hash-Table

Chapter 12: Graphs

Chapter 13: String Algorithms

Chapter 14: Algorithm Design Techniques

Chapter 15: Brute Force Algorithm

Chapter 16: Greedy Algorithm

Chapter 17: Divide & Conquer

Chapter 18: Dynamic Programming

Chapter 19: Backtracking

Chapter 20: Complexity Theory