This well-organized book discusses the fundamentals of various data structures using C as the programming language. It begins with a discussion on the basics of C and then it moves on to describe Pointers, Arrays, Linked lists, Stacks, Queues, Trees, Heaps, Graphs, Files, etc. which form the base of data structure. Besides, the book explains various other concepts such as memory management, dynamic arrays and dynamic strings with suitable examples. Finally, it deals with various classical problems such as 8-queens problem, towers of hanoi, minesweeper, lift problem, tic-tac-toe and knapsack problem, which will help students understand how the problems can be solved by using different techniques and data structures. This book is intended for the undergraduate students of Engineering (Computer Science/Information Technology), and postgraduate students of Computer Application (MCA) and Computer Science (M.Sc.). In addition, it would also be useful for professionals engaged in the field of computer science and information technology. KEY FEATURES : •Provides more than 180 programs for better understanding. •Includes a large number of algorithms in pseudo-codes. •Contains 500 figures to explain various algorithms and concepts.
Published by: PHI | Publication date: 12/01/2011Kindle book details: Kindle Edition, 763 pages
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, 432 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
Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.
Published by: Cambridge University Press | Publication date: 04/13/1998Kindle book details: Kindle Edition, 232 pages
Data Structures a practical guide using Java is meant as a laboratory or programming guide to understand the fundamentals of data structures.It uses the Java Interface and Collections and Util package.
Publication date: 03/26/2017Kindle book details: Kindle Edition, 121 pages
Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems. This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization. The algorithms are presented in a modern way, with explicitly formulated invariants, and comment on recent trends such as algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms. The authors use pictures, words and high-level pseudocode to explain the algorithms, and then they present more detail on efficient implementations using real programming languages like C++ and Java.The authors have extensive experience teaching these subjects to undergraduates and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some linkage to the real world. Most chapters have the same basic structure: a motivation for the problem, comments on the most important applications, and then simple solutions presented as informally as possible and as formally as necessary. For the more advanced issues, this approach leads to a more mathematical treatment, including some theorems and proofs. Finally, each chapter concludes with a section on further findings, providing views on the state of research, generalizations and advanced solutions.
Published by: Springer | Publication date: 06/04/2013Kindle book details: Kindle Edition, 300 pages
Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked (Job Interview Questions Series Book 8)
•200 Data Structures & Algorithms Interview Questions•77 HR Interview Questions •Real life scenario based questions•Strategies to respond to interview questions•2 Aptitude Tests Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer. The following is included in this book:(a) 200 Data Structures & Algorithms Interview Questions, Answers and proven strategies for getting hired as an IT professional(b) Dozens of examples to respond to interview questions(c) 77 HR Questions with Answers and proven strategies to give specific, impressive, answers that help nail the interviews (d) 2 Aptitude Tests download available on www.vibrantpublishers.com
Published by: Vibrant Publishers | Publication date: 02/21/2017Kindle book details: Kindle Edition, 212 pages
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: 01/06/2017Kindle book details: Kindle Edition, 476 pages
Imagine a Graph designed to leverage an organizations Meta Data that can guide you in making decisions on how best to organize your infrastructure, or even be able to anticipate poorly performing queries. A Data Structure Graph is a group of atomic entities that are related to each other, stored in a repository, then moved from one persistence layer to another, rendered as a Graph. This graph can be used at various layers within the architecture lifecycle to be able to understand and communicate the impact of change.
Published by: Doug Needham | Publication date: 06/01/2015Kindle book details: Kindle Edition, 101 pages
- Understand common data structures and the associated algorithms, as well as the context in which they are used.
- All concepts are explained in an easy way, followed by examples.
- Declare, initialize, add, and remove items from arrays, stacks, and queues
- Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures
- Harness the power of creating linked lists, doubly linked lists, and circular linked lists
- Store unique elements with hash tables, dictionaries, and sets
- Use binary trees and binary search trees
- Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sort
Published by: Packt Publishing | Publication date: 06/23/2016Kindle book details: Kindle Edition, 314 pages