Download or read book Binary Tree Problems written by Ue Kiao and published by . This book was released on 2021-05-12 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book "Binary Tree Problems" is carefully crafted to present you the knowledge and practice (around the data structure, Binary Tree) needed to ace Coding Interviews and Competitive Coding Contests. The book takes you through the fundamentals of Binary Tree, presents how to implement it in a good and secure way, make you practice key problems, present variants like Threaded Binary Tree, Binary Space Partitioning Tree, Skewed Binary Tree, AVL Tree, Treap and much more. The content covered is deep and is not covered by any other standard book. Each chapter is followed by a brief note of insight which wraps up your though in the correct direction and is a feast for budding Independent Researchers. If you aspire you to a good Software Developer, you should definitely get this book. You will be prepared to apply Binary Tree is designing solutions to key real life problems like designing an Excel sheet or making Game Graphics render fast. Authors: Aditya Chatterjee; Srishti Guleria; Ue Kiao; Contributors (16): Benjamin QoChuk, Hrithik Shrivastava, Parth Maniyar, Priyanshi Sharma, Rohit Topi, Amruta U. Koshe, Ayush Sonare, Akshay Gopani, Rashmitha, Manasvi Singh, Sahil Silare, Vaibhav Gupta, Vishnu S Reddy, Kyatham Srikanth, Rupali Kavale, Yash Aggarwal; The topics covered in this book include: About this book Binary Tree Properties of Binary Tree Implementation of Binary Tree Implementation of Binary Tree with no NULL Intuitive View of a Binary Tree Traversing a Binary Tree (Preorder, Postorder, Inorder) Convert Inorder+Preorder to Binary Tree (+ other combinations) Find height or depth of a binary tree Find Level of each node from root node Diameter of a Binary Tree Finding Diameter of a Tree using DFS Check if a Binary Tree is Balanced by Height Find number of Universal Value subtrees in a Binary Tree Counting subtrees where nodes sum to a specific value Find if a given Binary Tree is a Sub-Tree of another Binary Tree Check if a Binary Tree has duplicate values Find nodes which are at a distance k from root in a Binary Tree Finding nodes at distance K from a given node Find ancestors of a given node in a binary tree Largest Independent Set in Binary Tree Copy a binary tree where each node has a random pointer Serialization and Deserialization of Binary Tree 0-1 Encoding of Binary Tree ZigZag Traversal of Binary Tree Check if 2 Binary Trees are isomorphic Convert Binary Tree to Circular Doubly Linked list Introduction to Skewed Binary Tree Check if Binary Tree is skewed or not Change Binary Tree to Skewed Binary Tree Threaded Binary Tree Operations in Threaded Binary Tree Convert Binary Tree to Threaded Binary Tree Binary Search Tree Converting a Sorted Array to Binary Tree Minimum number of swaps to convert a binary tree to binary search tree Find minimum or maximum element in Binary Search Tree Convert Binary Search Tree to Balanced Binary Search Tree Find k-th smallest element in Binary Search Tree Sum of k smallest elements in Binary Search Tree Different Self Balancing Binary Trees AVL Tree Splay Tree Binary Space Partitioning Tree Binary Heap Treap Some real problems Applications & Concluding Note Published: May 2021 © iq.OpenGenus.org

Download or read book Python Data Structures and Algorithms written by Benjamin Baka and published by Packt Publishing Ltd. This book was released on 2017-05-30 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement classic and functional data structures and algorithms using Python About This Book A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Who This Book Is For The book will appeal to Python developers. A basic knowledge of Python is expected. What You Will Learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. In Detail Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. Style and Approach The easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications.

Download or read book 7 days with Binary Tree written by Aditya Chatterjee and published by OpenGenus. This book was released on with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you know that Microsoft Excel uses a Binary Tree to represent the spreadsheet? Go through this book to get the basic idea of how Binary Tree is used to solve problems efficiently. Binary Tree is one of the most important Data Structure (for Coding Interviews and Real Life System Design) and is equally challenging. With practice and correct way of thinking, you can master it easily and know when to use it in real life problems. We will attempt one problem every day in the week and analyze the problem deeply. Our schedule: Day 1: Introduction to Binary Tree + Problem 1 Day 2: Check if a Binary Tree is Balanced by Height Day 3: Find nodes which are at a distance k from root in a Binary Tree Day 4: Modification of Day 3 Problem Day 5: Find minimum or maximum element in Binary Search Tree Day 6: Find kth smallest element in Binary Search Tree Day 7: Modification of Day 6 Problem On following this routine sincerely, you will get a strong hold on Binary Tree data structure quickly and will be able to attempt interview and real-life problems easily. #7daysOfAlgo: a 7-day investment to Algorithmic mastery. This book is the part of #7daysOfAlgo series. You should definitely go through this book as it will give you good practice in short time. If you have an upcoming Coding Interview at top Software Companies like Google, Facebook, Apple, Microsoft and others, this book is a MUST. Authors (2): Aditya Chatterjee, Ue Kiao. (c)

Download or read book Data Structures Algorithms in Swift Fourth Edition written by raywenderlich Tutorial Team and published by . This book was released on 2021-09-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Data Structures & Algorithms in Swift!Data structures and algorithms form the basis of computer programming and are the starting point for anyone looking to become a software engineer. Choosing the proper data structure and algorithm involves understanding the many details and trade-offs of using them, which can be time-consuming to learn - and confusing.This is where this book, Data Structures & Algorithms in Swift, comes to the rescue! In this book, you'll learn the nuts and bolts of how fundamental data structures and algorithms work by using easy-to-follow tutorials loaded with illustrations; you'll also learn by working in Swift playground code.Who This Book Is ForThis book is for developers who know the basics of Swift syntax and want a better theoretical understanding of what data structures and algorithms are to build more complex programs or ace a whiteboard interview.Topics Covered in Data Structures & Algorithms in Swift*Basic data structures and algorithms, including stacks, queues and linked lists. *How protocols can be used to generalize algorithms. *How to leverage the algorithms of the Swift standard library with your own data structures. *Trees, tries and graphs. *Building algorithms on top of other primitives. *A complete spectrum of sorting algorithms from simple to advanced. *How to think about algorithmic complexity. *Finding shortest paths, traversals, subgraphs and much more.After reading this book, you'll have a solid foundation on data structures and algorithms and be ready to solve more complex problems in your apps elegantly.

Download or read book Learning Functional Data Structures and Algorithms written by Atul S. Khot and published by Packt Publishing Ltd. This book was released on 2017-02-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming. Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures? This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency. By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.

Download or read book Data Structures and Algorithms using Python written by Subrata Saha and published by Cambridge University Press. This book was released on 2023-06-15 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive textbook that provides a complete view of data structures and algorithms for engineering students using Python.

Download or read book Data Structures Algorithms in Kotlin Second Edition written by raywenderlich Tutorial Team and published by . This book was released on 2021-06-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Data Structures & Algorithms in Kotlin!Data structures and algorithms are fundamental tools every developer should have. In this book, you'll learn how to implement key data structures in Kotlin, and how to use them to solve a robust set of algorithms.This book is for intermediate Kotlin or Android developers who already know the basics of the language and want to improve their knowledge.Topics Covered in This BookIntroduction to Kotlin: If you're new to Kotlin, you can learn the main constructs and begin writing code.Complexity: When you study algorithms, you need a way to compare their performance in time and space. Learn about the Big-O notation to help you do this.Elementary Data Structures: Learn how to implement Linked List, Stacks, and Queues in Kotlin.Trees: Learn everything you need about Trees - in particular, Binary Trees, AVL Trees, as well as Binary Search and much more.Sorting Algorithms: Sorting algorithms are critical for any developer. Learn to implement the main sorting algorithms, using the tools provided by Kotlin.Graphs: Have you ever heard of Dijkstra and the calculation of the shortest path between two different points? Learn about Graphs and how to use them to solve the most useful and important algorithms.

Download or read book Advanced Concepts of Information Technology written by Kashif Qureshi and published by Educreation Publishing. This book was released on 2018-12-20 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information technology, which is exclusively designed to store, process, and transmits information, is known as Information Technology.Computers and Information Technology are an indispensable part of any organization. The first edition of "Advance concept of Information Technology" has been shaped according the needs of current organizational and academic needs This book not only for bachelor’s degree and master’s degree students but also for all those who want to strengthen their knowledge of computers. Furthermore, this book is full to capacity with expert guidance from high-flying IT professionals, in-depth analyses. It presents a detailed functioning of hardware components besides covering the software concepts in detail. An extensive delineate of computer architecture, data representation in the computer, operating systems, database management systems, programming languages, etc. have also been included marvelously in an array .One should use this book to acquire computer literacy in terms of how data is represented in a computer, how hardware devices are integrated to get the desired results, and how the computer works with software and hardware. Features and applications of Information Technology –

Download or read book Artificial Intelligence and Evolutionary Algorithms in Engineering Systems written by L Padma Suresh and published by Springer. This book was released on 2014-11-25 with total page 846 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Download or read book Introduction to Algorithms fourth edition written by Thomas H. Cormen and published by MIT Press. This book was released on 2022-04-05 with total page 1313 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learning New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays 140 new exercises and 22 new problems Reader feedback–informed improvements to old problems Clearer, more personal, and gender-neutral writing style Color added to improve visual presentation Notes, bibliography, and index updated to reflect developments in the field Website with new supplementary material Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.

Download or read book Essentials of Discrete Mathematics written by David J. Hunter and published by Jones & Bartlett Publishers. This book was released on 2015-08-21 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for the one-term course, the Third Edition of Essentials of Discrete Mathematics is designed to serve computer science majors as well as students from a wide range of disciplines. The material is organized around five types of thinking: logical, relational, recursive, quantitative, and analytical. This presentation results in a coherent outline that steadily builds upon mathematical sophistication. Graphs are introduced early and referred to throughout the text, providing a richer context for examples and applications. tudents will encounter algorithms near the end of the text, after they have acquired the skills and experience needed to analyze them. The final chapter contains in-depth case studies from a variety of fields, including biology, sociology, linguistics, economics, and music.

Download or read book CLASSIC DATA STRUCTURES 2nd ed written by Samanta Debasis and published by PHI Learning Pvt. Ltd.. This book was released on 2008-12-01 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the second edition of a text designed for undergraduate engineering courses in Data Structures. The treatment of the subject matter in this second edition maintains the same general philosophy as in the first edition but with significant additions. These changes are designed to improve the readability and understandability of all algorithms so that the students acquire a firm grasp of the key concepts. This book is recommended in Assam Engineering College, Assam, Girijananda Chowdhury Institute of Management and Technology, Assam, Supreme Knowledge Foundation Group, West Bengal, West Bengal University of Technology (WBUT) for B.Tech. The book provides a complete picture of all important data structures used in modern programming practice. It shows :  various ways of representing a data structure  different operations to manage a data structure  several applications of a data structure The algorithms are presented in English-like constructs for ease of comprehension by students, though all of them have been implemented separately in C language to test their correctness. Key Features :  Red-black tree and spray tree are discussed in detail  Includes a new chapter on Sorting  Includes a new chapter on Searching  Includes a new appendix on Analysis of Algorithms for those who may be unfamiliar with the concepts of algorithms  Provides numerous section-wise assignments in each chapter  Also included are exercises—Problems to Ponder—in each chapter to enhance learning The book is suitable for students of : (i) computer science (ii) computer applications (iii) information and communication technology (ICT) (iv) computer science and engineering.

Download or read book Introduction to Parallel Algorithms written by C. Xavier and published by John Wiley & Sons. This book was released on 1998-08-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: * Presents basic concepts in clear and simple terms * Incorporates numerous examples to enhance students' understanding * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering * Employs extensive illustrations of new design techniques * Discusses parallel algorithms in the context of PRAM model * Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.

Download or read book Combinatorial Algorithms written by T. C. Hu and published by Courier Corporation. This book was released on 2012-04-26 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated edition presents algorithms for shortest paths, maximum flows, dynamic programming and backtracking. Also discusses binary trees, heuristic and near optimums, matrix multiplication, and NP-complete problems. Includes 153 black-and-white illustrations and 23 tables.

Download or read book A Textbook of Data Structures and Algorithms Volume 2 written by G. A. Vijayalakshmi Pai and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert. With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.

Download or read book COMBINATORICS AND GRAPH THEORY written by SARKAR and published by PHI Learning Pvt. Ltd.. This book was released on 2016-06-17 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorics and Graph Theory is designed as a textbook for undergraduate students of computer science and engineering and postgraduate students of computer applications. The book seeks to introduce students to the mathematical concepts needed to develop abstract thinking and problem solving—important prerequisites for the study of computer science. The book provides an exhaustive coverage of various concepts and remarkable introduction of several topics of combinatorics and graph theory. The book presents an informative exposure for beginners and acts as a reference for advanced students. It highlights comprehensive and rigorous views of combinatorics and graphs. The text shows simplicity and step-by-step concepts throughout and is profusely illustrated with diagrams. The real-world applications corresponding to the topics are appropriately highlighted. The chapters have also been interspersed throughout with numerous interesting and instructional notes. Written in a lucid style, the book helps students apply the mathematical tools to computer-related concepts and consists of around 600 worked-out examples which motivate students as a self-learning mode.KEY FEATURES Contains various exercises with their answers or hints. Lays emphasis on the applicability of mathematical structures to computer science. Includes competitive examinations’ questions asked in GATE, NET, SET, etc

Download or read book Advanced Applications of Python Data Structures and Algorithms written by Galety, Mohammad Gouse and published by IGI Global. This book was released on 2023-07-05 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other programming language because of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as feasible while maintaining the highest possible level of precision. Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, and operators, this reference work is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.