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: 01/13/2017Kindle book details: Kindle Edition, 424 pages
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: 09/06/2017Kindle book details: Kindle Edition, 800 pages
With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses Microsoft C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithm analysis.Techniques for representing data are presented within the context of assessing costs and benefits, promoting an understanding of the principles of algorithm analysis and the effects of a chosen physical medium. The text also explores tradeoff issues, familiarizes readers with the most commonly used data structures and their algorithms, and discusses matching appropriate data structures to applications. The author offers explicit coverage of design patterns encountered in the course of programming the book's basic data structures and algorithms. Numerous examples appear throughout the text.
Published by: Dover Publications | Publication date: 09/14/2011Kindle book details: Kindle Edition, 624 pages
If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials.By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online.
- Use data structures such as lists and maps, and understand how they work
- Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree
- Analyze code to predict how fast it will run and how much memory it will require
- Write classes that implement the Map interface, using a hash table and binary search tree
- Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results
Published by: O'Reilly Media | Publication date: 07/07/2017Kindle book details: Kindle Edition, 158 pages
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: 06/11/2013Kindle book details: Kindle Edition, 656 pages
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. The international paperback edition is no longer available; the hardcover is available worldwide.
Published by: The MIT Press | Publication date: 07/31/2009Kindle book details: Kindle Edition, 1312 pages
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: 01/09/2017Kindle book details: Kindle Edition, 450 pages
Published by: Pragmatic Bookshelf | Publication date: 08/03/2017Kindle book details: Kindle Edition, 220 pages
This book is about the usage of Data Structures and Algorithms in computer programming. GitHub Link: https://github.com/Hemant-Jain-Author/We will be studying complexity analysis. Then will look into the various data structures and their algorithms. We will be studying Linked-List, Stack, Queue, Trees, Heap, Hash Table and Graphs. We will be studying 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.TABLE OF CONTENTSCHAPTER 0: HOW TO USE THIS BOOKCHAPTER 1: ALGORITHMS ANALYSISCHAPTER 2: APPROACH TO SOLVE ALGORITHM DESIGN PROBLEMSCHAPTER 3: ABSTRACT DATA TYPE & RUBY COLLECTIONSCHAPTER 4: SEARCHINGCHAPTER 5: SORTINGCHAPTER 6: LINKED LISTCHAPTER 7: STACKCHAPTER 8: QUEUECHAPTER 9: TREECHAPTER 10: PRIORITY QUEUECHAPTER 11: HASH-TABLECHAPTER 12: GRAPHSCHAPTER 13: STRING ALGORITHMSCHAPTER 14: ALGORITHM DESIGN TECHNIQUESCHAPTER 15: BRUTE FORCE ALGORITHMCHAPTER 16: GREEDY ALGORITHMCHAPTER 17: DIVIDE-AND-CONQUER, DECREASE-AND-CONQUERCHAPTER 18: DYNAMIC PROGRAMMINGCHAPTER 19: BACKTRACKINGCHAPTER 20: COMPLEXITY THEORY AND NP COMPLETENESS
Publication date: 02/15/2018Kindle book details: Kindle Edition, 364 pages
Publication date: 01/18/2017Kindle book details: Kindle Edition, 438 pages