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Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

https://www.amazon.com/Data-Structures-Algorithms-Made-Easy-...
Peeling Data Structures and Algorithms: Table of Contents: goo.gl/JFMgiUSample Chapter: goo.gl/n2Hk4iFound Issue? goo.gl/forms/4Gt72YO81IVideos: goo.gl/BcHq74"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.
Publication date: 01/13/2017
Kindle book details: Kindle Edition, 424 pages

Data Structures and Algorithms in Java

https://www.amazon.com/Data-Structures-Algorithms-Robert-Laf...
Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful.   Educational Supplement Suggested solutions to the programming projects found at the end of each chapter are made available to instructors at recognized educational institutions. This educational supplement can be found at www.prenhall.com, in the Instructor Resource Center.    
Published by: Sams Publishing | Publication date: 09/06/2017
Kindle book details: Kindle Edition, 800 pages

Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles

https://www.amazon.com/Data-Structures-Algorithms-Made-Easy-...
Peeling Data Structures and Algorithms [re-printed on 19-August-2016]:Table of Contents: goo.gl/hMYJGqSample Chapter: goo.gl/DqVs8pSource Code: goo.gl/e3imfVVideos: goo.gl/BcHq74A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems.What is unique? Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we ennumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities.Topics Covered:IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience? These books prepare readers for interviews, exams, and campus work. Language?All code was written in Java. If you are using C/C++, please search for "Data Structures and Algorithms Made Easy".Note: If you already have "Data Structures and Algorithms Made Easy" no need to buy this.Also, check out sample chapters and the blog at: CareerMonk.com
Published by: CareerMonk Publications | Publication date: 01/09/2017
Kindle book details: Kindle Edition, 450 pages

Introduction to Algorithms

https://www.amazon.com/Introduction-Algorithms-Thomas-H-Corm...
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. As of the third edition, this textbook is published exclusively by the MIT Press.
Published by: The MIT Press | Publication date: 07/31/2009
Kindle book details: Kindle Edition, 1312 pages

Data Structures and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles

https://www.amazon.com/Data-Structures-Algorithmic-Thinking-...
Table of Contents: goo.gl/VLEUcaSample Chapter: goo.gl/8AEcYkSource Code: goo.gl/L8XxdtIt is the Python version of "Data Structures and Algorithms Made Easy".The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style.This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. "Data Structure and Algorithmic Thinking with Python" is designed to give a jumpstart to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.
Published by: CareerMonk Publications | Publication date: 01/06/2017
Kindle book details: Kindle Edition, 476 pages

Data Structures and Algorithm Analysis in C++

https://www.amazon.com/Data-Structures-Algorithm-Analysis-C-...
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Data Structures and Algorithm Analysis in C++ is an advanced algorithms book that bridges the gap between traditional CS2 and Algorithms Analysis courses. As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs using the C++ programming language. This book explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous and in-depth analysis of each type of algorithm.
Published by: Pearson | Publication date: 06/11/2013
Kindle book details: Kindle Edition, 656 pages

Data Structures

https://www.amazon.com/Data-Structures-Lovelyn-Rose-Venkates...
Data Structures” is a fundamental course for all Computer Science programs of undergraduate and graduate studies. A good understanding of data representation lays a strong foundation for students to design efficient algorithms. Material included in this book could be presented to students in a semester with an associated lab component. It covers the most commonly used data structures with their applications. Algorithms have been provided for understanding the operations associated with each data structure. For appreciating the selection of a data structure for an application, the time and space complexities have been highlighted. The review questions and exercises have been arranged in an increasing order of difficulty to enable the learner to become proficient in the subject.
Published by: Wiley | Publication date: 06/11/2013
Kindle book details: Kindle Edition, 656 pages

Java 9 Data Structures and Algorithms

https://www.amazon.com/Java-9-Data-Structures-Algorithms-ebo...
Key Features
  • This book provides complete coverage of reactive and functional data structures
  • Based on the latest version of Java 9, this book illustrates the impact of new features on data structures
  • Gain exposure to important concepts such as Big-O Notation and Dynamic Programming
Book DescriptionJava 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book 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. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we'll take you through the basics of functional programming while making sure you get used to thinking recursively.We provide plenty of examples along the way to help you understand each concept. You will get the also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!What you will learn
  • Understand the fundamentals of algorithms, data structures, and measurement of complexity
  • Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists
  • Get a grasp on the basics of abstract data types—stack, queue, and double ended queue
  • See how to use recursive functions and immutability while understanding and in terms of recursion
  • Handle reactive programming and its related data structures
  • Use binary search, sorting, and efficient sorting—quicksort and merge sort
  • Work with the important concept of trees and list all nodes of the tree, traversal of 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
About the AuthorDebasish Ray Chawdhuri is an established Java developer and has been in the industry for the last 8 years. He has developed several systems, right from CRUD applications to programming languages and big data processing systems. He had provided the first implementation of extensible business reporting language specification, and a product around it, for the verification of company financial data for the Government of India while he was employed at Tata Consultancy Services Ltd. In Talentica Software Pvt. Ltd., he implemented a domain-specific programming language to easily implement complex data aggregation computation that would compile to Java bytecode. Currently, he is leading a team developing a new high-performance structured data storage framework to be processed by Spark. The framework is named Hungry Hippos and will be open sourced very soon. He also blogs at http://www.geekyarticles.com/ about Java and other computer science-related topics.He has worked for Tata Consultancy Services Ltd., Oracle India Pvt. Ltd., and Talentica Software Pvt. Ltd.Table of Contents
  • Why Bother? – Basic
  • Cogs and Pulleys – Building Blocks
  • Protocols – Abstract Data Types
  • Detour – Functional Programming
  • Efficient Searching – Binary Search and Sorting
  • Efficient Sorting – quicksort and mergesort
  • Concepts of Tree
  • More About Search – Search Trees and Hash Tables
  • Advanced General Purpose Data Structures
  • Concepts of Graph
  • Reactive Programming
  • Published by: Packt Publishing | Publication date: 04/28/2017
    Kindle book details: Kindle Edition, 340 pages

    Problem Solving in Data Structures & Algorithms Using Python: Programming Interview Guide

    https://www.amazon.com/Problem-Solving-Structures-Algorithms...
    This book is about the usage of Data Structures and Algorithms in computer programming. https://github.com/Hemant-Jain-Author/Problem-Solving-in-Data-Structures-Algorithms-using-PythonDesigning an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a Python language developer. You are not an expert in Python language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the Python language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into 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 be looking into Sorting & Searching techniques.Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking.In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.
    Author: Hemant Jain
    Publication date: 01/18/2017
    Kindle book details: Kindle Edition, 418 pages

    Problem Solving in Data Structures & Algorithms Using Java: Programming Interview Guide

    https://www.amazon.com/Problem-Solving-Structures-Algorithms...
    "Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In various books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP.GitHub Repositorieshttps://github.com/Hemant-Jain-AuthorBook’s CompositionThis book is designed for interviews so in Chapter 0, various preparation plans are proposed. Then in chapters 1, a brief introduction of the programming language and concept of recursion is explained. A number of problems based on recursion and array are explained.Then in the coming chapter, we will be looking into complexity analysis. Then we will be looking into Sorting & Searching techniques.Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, and Backtracking.In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.Table of ContentsChapter 0: How to use this book.Chapter 1: Introduction - Programming OverviewChapter 2: Algorithms AnalysisChapter 3: Approach to solve algorithm design problemsChapter 4: Abstract Data TypeChapter 5: SearchingChapter 6: SortingChapter 7: Linked ListChapter 8: StackChapter 9: QueueChapter 10: TreeChapter 11: Priority QueueChapter 12: Hash-TableChapter 13: GraphsChapter 14: String AlgorithmsChapter 15: Algorithm Design TechniquesChapter 16: Brute Force AlgorithmChapter 17: Greedy AlgorithmChapter 18: Divide & ConquerChapter 19: Dynamic ProgrammingChapter 20: BacktrackingChapter 21: Complexity TheoryChapter 22: Interview StrategyChapter 23: System Design
    Author: Hemant Jain
    Publication date: 01/18/2017
    Kindle book details: Kindle Edition, 438 pages
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