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Peeling Data Structures and Algorithms for interviews [re-printed with corrections and new problems]: "Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms.
Unboxing & Review of "Coding Interview Questions" by Narasimha Karumanchi
A handy guide of sorts for any computer science professional, "Data Structures And Algorithms Made Easy: 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.
This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. 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 enumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities. These books prepare readers for interviews, exams, and campus work.
Main objective is not to give you the theorems and proofs about DS and Algorithms. I have followed a pattern of improving the problem solutions with different complexities for each problem, you observe multiple solutions with different improved complexities. Basically, its an enumeration of possible solutions. With this approach, even if we get a new question it gives us a way to think about all possible solutions.
Author: Narasimha Karumanchi
Target Audience? These books are very much useful for interview preparation, GATE preparation, campus preparations. All code was written in C. I am planning to release the same in Java and as of now there is no time bound for this : All the above details can also be seen at: CareerMonk.
That gives you an idea about the pattern of problems in the book. If you feel this will help others, please spread this mail. The main objective of this book is to make people aware of importance of data structures and algorithms.
As a job seeker if you read the referenced books completely with good understanding, I am sure you will challenge the interviewers and that is the main objective. These books are very much useful for the students of Engineering and Masters during their academic preparations.
All the chapters of this book contain theory and their related problems as many as possible. While writing the book, an intense care has been taken to ensure that the content should help students who are preparing for these kinds of exams. In all the chapters you will see more importance given to problems and analyzing them instead of concentrating more on theory. For each chapter, first you will see the basic required theory and then problems. Provides solutions for approximately algorithmic puzzles--often providing multiple solutions with different complexities.
Primarily intended to help programmers prepare for technical job interviews, help students prepare for computer science courses and exams, and serve as a reference manual.
Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking.
The first part of this book is a tutorial on algorithm design strategies and analysis techniques. Algorithm design strategies — exhaustive search, backtracking, divide-and-conquer and a few others — are general approaches to designing step-by-step instructions for solving problems. Analysis techniques are methods for investigating such procedures to answer questions about the ultimate result of the procedure or how many steps are executed before the procedure stops.
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The discussion is an elementary level, with puzzle examples, and requires neither programming nor mathematics beyond a secondary school level. Thus, the tutorial provides a gentle and entertaining introduction to main ideas in high-level algorithmic problem solving. The second and main part of the book contains puzzles, from centuries-old classics to newcomers often asked during job interviews at computing, engineering, and financial companies. The puzzles are divided into three groups by their difficulty levels.
The first fifty puzzles in the Easier Puzzles section require only middle school mathematics. The sixty puzzle of average difficulty and forty harder puzzles require just high school mathematics plus a few topics such as binary numbers and simple recurrences, which are reviewed in the tutorial. All the puzzles are provided with hints, detailed solutions, and brief comments.
The comments deal with the puzzle origins and design or analysis techniques used in the solution. The book should be of interest to puzzle lovers, students and teachers of algorithm courses, and persons expecting to be given puzzles during job interviews. Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms.
First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms' complexity.
Narasimha karumanchi data structures and algorithms made easy pdf
Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system.
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. In particular, be sure you are comfortable with the level and with our Python coding style.
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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. 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.
While reading this book it is fun and easy to read it. Flexible by design,. Finally, a solid foundation in building and using abstract data types is also provided. Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles.
Standish covers a wide range of Both traditional and contemporary software engineering topics. This is a handy guide of sorts for any computer science engineering Students, Data Structures And Algorithms is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. Inside Chapters.
Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
This is a different Data Structures book. It uses a common language like C to teach Data Structures. Secondly, it goes far beyond merely explaining how Stacks, Queues, and Linked Lists work. The readers can actually experience rather than imagine sorting of an array, traversing of a doubly linked list, construction of a binary tree, etc. All these animations are available on the downloadable DVD.
In addition it contains numerous carefully-crafted figures, working programs and real world scenarios where different data structures are used. This would help you understand the complicated operations being performed an different data structures easily. Add to that the customary lucid style of Yashavant Kanetkar and you have a perfect Data Structures book in your hands.
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Table of Contents 1. Analysis of Algorithms 2. Arrays 3. Linked Lists 4. Sparse Matrices 5. Stacks 6. Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within.
This text examines efficient ways to search and update sets of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or piece-wise constant functions, orthogonal range search structures, heaps, union-find structures, dynamization and persistence of structures, structures for strings, and hash tables.
This is the first volume to show data structures as a crucial algorithmic topic, rather than relegating them as trivial material used to illustrate object-oriented programming methodology, filling a void in the ever-increasing computer science market.
Numerous code examples in C and more than references make Advanced Data Structures an indispensable text. Download or read Data Structures Using Java book by clicking button below to visit the book download website. There are multiple format available for you to choose Pdf, ePub, Doc.
Data Structures and Algorithms Made Easy
Click Add To Cart Now! This book is meant for anyone who wants to learn how to write efficient programs and use the proper data structures and algorithm. After that, you'll learn about the most important data structures, including linked lists, arrays, queues, and stacks. You will learn also learn about searching and sorting algorithms. This textbook introduces basic algorithms and explains their analytical methods.
All algorithms and methods introduced in this book are well known and frequently used in real programs. Intended to be self-contained, the contents start with the basic models, and no prerequisite knowledge is required.
This book is appropriate for undergraduate students in computer science, mathematics, and engineering as a textbook, and is also appropriate for self-study by beginners who are interested in the fascinating field of algorithms.