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 Competitive Programming in Python written by Christoph Dürr and published by Cambridge University Press. This book was released on 2020-12-17 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book and on the companion website.

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 Algorithm Design A Methodological Approach 150 problems and detailed solutions written by Patrick Bosc and published by CRC Press. This book was released on 2023-01-31 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bestseller in its French edition, this book is original in its construction and its success in the French market demonstrates its appeal. It is based on three principles: (1) An organization of the chapters by families of algorithms: exhaustive search, divide and conquer, etc. On the contrary, there is no chapter devoted only to a systematic exposure of, say, algorithms on strings. Some of these will be found in different chapters. (2) For each family of algorithms, an introduction is given to the mathematical principles and the issues of a rigorous design, with one or two pedagogical examples. (3) For the most part, the book details 150 problems, spanning seven families of algorithms. For each problem, a precise and progressive statement is given. More importantly, a complete solution is detailed, with respect to the design principles that have been presented; often, some classical errors are pointed out. Roughly speaking, two-thirds of the book is devoted to the detailed rational construction of the solutions.

Download or read book Binary tree construction with sequential search for hierarchical classification problems written by Sadik Sinan Erzurumlu and published by . This book was released on 2003 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Problems for the day before your coding interview written by Aditya Chatterjee and published by OpenGenus. This book was released on 2020-03-23 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have an upcoming coding interview, this is a must for you to read this book 💪 and get prepared to tackle ALGORITHM and DATA STRUCTURE problems in a day. In this book, we have solved insightful algorithmic problems and discussed some of the best insights to drive you into the problem solving mindset. Being in a mindset required for an upcoming event is like winning half the battle. In this book, we begin with an easy problem and go on to explore some tough and insightful problems. The first problem we presented is to delete minimum number of digits in a number to make it a perfect square. This might seem to be a simple problem but the insights involved in solving this is widely applicable across various Algorithmic problems. This problem is solved in time complexity of O(N ^ (1/3) x logN x logN) (think how?) Moreover, in solving the above problem, we have learnt how to generate all combinations/ subsets of a set efficiently. In this line, we have covered other ideas related to combination and permutation generation in other problems in this book. Some of the ideas we covered in the other problems are: * Augmented data structures: How modifying a data structure can improve the complexity greatly. * How a single data structure can have multiple states? and algorithms to interchange them * Concepts related to string comparison and searching (MUST READ + VERY IMPORTANT) * Basic insightful ideas in Number theory and solved a couple of problems related to it * Understanding how number of operations can be reduced greatly without impacting time complexity. * Insightful understanding and analysis of Heap's algorithm for permutation generation (VERY IMPORTANT + RARE) * These problems have covered domains like Graph Theory, Dynamic Programming, Greedy Algorithms, Number Theory, Divide and Conquer and much more. In short, we have carefully chosen the problems to give you idea of: * Basic yet widely asked concepts like combination and permutation generation, forming Dynamic Programming solutions, applying greedy algorithms * Doing a detailed complexity analysis * Proceed in solving the problem in steps and understand deeply why the solution works This book has been prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from Tokyo Institute of Technology. Read this book now and ace your upcoming coding interview 💪 If you have a doubt regarding some algorithmic problem or want some addition/ modification to this book, feel free to get in touch with us or leave a review comment 😃

Download or read book Steiner Tree Problems in Computer Communication Networks written by Dingzhu Du and published by World Scientific. This book was released on 2008-01-01 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Steiner tree problem is one of the most important combinatorial optimization problems. It has a long history that can be traced back to the famous mathematician Fermat (1601-1665). This book studies three significant breakthroughs on the Steiner tree problem that were achieved in the 1990s, and some important applications of Steiner tree problems in computer communication networks researched in the past fifteen years. It not only covers some of the most recent developments in Steiner tree problems, but also discusses various combinatorial optimization methods, thus providing a balance between theory and practice. Sample Chapter(s). Chapter 1: Minimax Approach and Steiner Ratio (372 KB). Contents: Minimax Approach and Steiner Ratio; k -Steiner Ratios and Better Approximation Algorithms; Geometric Partitions and Polynomial Time Approximation Schemes; Grade of Service Steiner Tree Problem; Steiner Tree Problem for Minimal Steiner Points; Bottleneck Steiner Tree Problem; Steiner k -Tree and k -Path Routing Problems; Steiner Tree Coloring Problem; Steiner Tree Scheduling Problem; Survivable Steiner Network Problem. Readership: Researchers and graduate students of computer science and engineering as well as operations research.

Download or read book Fundamentals of Computer Programming with C written by Svetlin Nakov and published by Faber Publishing. This book was released on 2013-09-01 with total page 1132 pages. Available in PDF, EPUB and Kindle. Book excerpt: The free book "Fundamentals of Computer Programming with C#" is a comprehensive computer programming tutorial that teaches programming, logical thinking, data structures and algorithms, problem solving and high quality code with lots of examples in C#. It starts with the first steps in programming and software development like variables, data types, conditional statements, loops and arrays and continues with other basic topics like methods, numeral systems, strings and string processing, exceptions, classes and objects. After the basics this fundamental programming book enters into more advanced programming topics like recursion, data structures (lists, trees, hash-tables and graphs), high-quality code, unit testing and refactoring, object-oriented principles (inheritance, abstraction, encapsulation and polymorphism) and their implementation the C# language. It also covers fundamental topics that each good developer should know like algorithm design, complexity of algorithms and problem solving. The book uses C# language and Visual Studio to illustrate the programming concepts and explains some C# / .NET specific technologies like lambda expressions, extension methods and LINQ. The book is written by a team of developers lead by Svetlin Nakov who has 20+ years practical software development experience. It teaches the major programming concepts and way of thinking needed to become a good software engineer and the C# language in the meantime. It is a great start for anyone who wants to become a skillful software engineer. The books does not teach technologies like databases, mobile and web development, but shows the true way to master the basics of programming regardless of the languages, technologies and tools. It is good for beginners and intermediate developers who want to put a solid base for a successful career in the software engineering industry. The book is accompanied by free video lessons, presentation slides and mind maps, as well as hundreds of exercises and live examples. Download the free C# programming book, videos, presentations and other resources from http://introprogramming.info. Title: Fundamentals of Computer Programming with C# (The Bulgarian C# Programming Book) ISBN: 9789544007737 ISBN-13: 978-954-400-773-7 (9789544007737) ISBN-10: 954-400-773-3 (9544007733) Author: Svetlin Nakov & Co. Pages: 1132 Language: English Published: Sofia, 2013 Publisher: Faber Publishing, Bulgaria Web site: http://www.introprogramming.info License: CC-Attribution-Share-Alike Tags: free, programming, book, computer programming, programming fundamentals, ebook, book programming, C#, CSharp, C# book, tutorial, C# tutorial; programming concepts, programming fundamentals, compiler, Visual Studio, .NET, .NET Framework, data types, variables, expressions, statements, console, conditional statements, control-flow logic, loops, arrays, numeral systems, methods, strings, text processing, StringBuilder, exceptions, exception handling, stack trace, streams, files, text files, linear data structures, list, linked list, stack, queue, tree, balanced tree, graph, depth-first search, DFS, breadth-first search, BFS, dictionaries, hash tables, associative arrays, sets, algorithms, sorting algorithm, searching algorithms, recursion, combinatorial algorithms, algorithm complexity, OOP, object-oriented programming, classes, objects, constructors, fields, properties, static members, abstraction, interfaces, encapsulation, inheritance, virtual methods, polymorphism, cohesion, coupling, enumerations, generics, namespaces, UML, design patterns, extension methods, anonymous types, lambda expressions, LINQ, code quality, high-quality code, high-quality classes, high-quality methods, code formatting, self-documenting code, code refactoring, problem solving, problem solving methodology, 9789544007737, 9544007733

Download or read book Problem Solving with Algorithms and Data Structures Using Python written by Bradley N. Miller and published by Franklin Beedle & Associates. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.

Download or read book Elements of Programming Interviews written by Adnan Aziz and published by EPI. This book was released on 2012 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns.

Download or read book The Steiner Tree Problem written by Hans Jürgen Prömel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, algorithmic graph theory has become increasingly important as a link between discrete mathematics and theoretical computer science. This textbook introduces students of mathematics and computer science to the interrelated fields of graphs theory, algorithms and complexity.

Download or read book Dynamic Programming on Trees written by Ue Kiao and published by Independently Published. This book was released on 2022-01-24 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book "Dynamic Programming on Trees" is a deep dive into applying Dynamic Programming technique on Tree Data Structure based problems. On completing this book, you will have these core skills: Strong hold on Dynamic Programming on Trees Easily solve Dynamic Programming problems in Coding Interview Best approach to go through this book: Master the basics (Part 1): This part introduces you to the basics of Tree Data Structure, Dynamic Programming (DP) and how DP can be applied on Tree. Having a strong hold in this part helps you to visualize solutions. Practice Problems on Tree DP (Part 2): Practice is a key to success for Coding Interviews, Competitive Programming and Efficient Problem Solving. Practice one problem everyday by implementing the solution on your own. Practice Problems on Graph DP (Part 3): Tree is a restricted version of a Graph and problems in this section will take you to the next level. You will view Trees and Graphs differently. Table of contents: Introduction to Tree Introduction to Dynamic Programming Dynamic Programming on Tree Practice Problems: Find height of every node of Binary Tree Find diameter of Binary Tree using height of every node Find diameter of N-ary Binary Tree Largest Independent Set in Binary Tree Binary Lifting with kth ancestor Minimum number of nodes to be deleted so that at most k leaves are left Minimum Cost Path in 2D matrix Maximum Cost Path in 2D matrix Maximum average value path in a 2D matrix (Restricted) Minimum average value path in a 2D matrix (Restricted) Count paths from Top Left to Bottom Right of a Matrix Minimum Cost for Triangulation of a Convex Polygon Number of paths with k edges Shortest Path with k edges Vertex Cover Problem Get started with this book and change the equation of your career. Book: Dynamic Programming on Trees Authors (2): Aditya Chatterjee, Ue Kiao Published: January 2022 (Edition 1) Publisher: OpenGenus

Download or read book Mastering Algorithms with C written by Kyle Loudon and published by "O'Reilly Media, Inc.". This book was released on 1999 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.

Download or read book Problems and Solutions in Biological Sequence Analysis written by Mark Borodovsky and published by Cambridge University Press. This book was released on 2006-09-04 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis, by Durbin et al. (Cambridge, 1998), widely adopted as a required text for bioinformatics courses at leading universities worldwide. Although many of the problems included in Biological Sequence Analysis as exercises for its readers have been repeatedly used for homework and tests, no detailed solutions for the problems were available. Bioinformatics instructors had therefore frequently expressed a need for fully worked solutions and a larger set of problems for use on courses. This book provides just that: following the same structure as Biological Sequence Analysis and significantly extending the set of workable problems, it will facilitate a better understanding of the contents of the chapters in BSA and will help its readers develop problem-solving skills that are vitally important for conducting successful research in the growing field of bioinformatics. All of the material has been class-tested by the authors at Georgia Tech, where the first ever MSc degree program in Bioinformatics was held.

Download or read book Top 20 coding interview problems asked in Google with solutions written by Lin Quan and published by Lin Quan. This book was released on 2014-02-07 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Must Have for Google Aspirants !!! This book is written for helping people prepare for Google Coding Interview. It contains top 20 programming problems frequently asked @Google with detailed worked-out solutions both in pseudo-code and C++(and C++11). Matching Nuts and Bolts OptimallySearching two-dimensional sorted arrayLowest Common Ancestor(LCA) ProblemMax Sub-Array ProblemCompute Next Higher Number2D Binary SearchString Edit DistanceSearching in Two Dimensional SequenceSelect Kth Smallest ElementSearching in Possibly Empty Two Dimensional SequenceThe Celebrity ProblemSwitch and Bulb ProblemInterpolation SearchThe Majority ProblemThe Plateau ProblemSegment ProblemsEfficient PermutationThe Non-Crooks ProblemMedian Search ProblemMissing Integer Problem

Download or read book How to Design Programs second edition written by Matthias Felleisen and published by MIT Press. This book was released on 2018-05-25 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming.

Download or read book Problems on Algorithms written by Habib Izadkhah and published by Springer Nature. This book was released on 2022-11-01 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: With approximately 2500 problems, this book provides a collection of practical problems on the basic and advanced data structures, design, and analysis of algorithms. To make this book suitable for self-instruction, about one-third of the algorithms are supported by solutions, and some others are supported by hints and comments. This book is intended for students wishing to deepen their knowledge of algorithm design in an undergraduate or beginning graduate class on algorithms, for those teaching courses in this area, for use by practicing programmers who wish to hone and expand their skills, and as a self-study text for graduate students who are preparing for the qualifying examination on algorithms for a Ph.D. program in Computer Science or Computer Engineering. About all, it is a good source for exam problems for those who teach algorithms and data structure. The format of each chapter is just a little bit of instruction followed by lots of problems. This book is intended to augment the problem sets found in any standard algorithms textbook. This book • begins with four chapters on background material that most algorithms instructors would like their students to have mastered before setting foot in an algorithms class. The introductory chapters include mathematical induction, complexity notations, recurrence relations, and basic algorithm analysis methods. • provides many problems on basic and advanced data structures including basic data structures (arrays, stack, queue, and linked list), hash, tree, search, and sorting algorithms. • provides many problems on algorithm design techniques: divide and conquer, dynamic programming, greedy algorithms, graph algorithms, and backtracking algorithms. • is rounded out with a chapter on NP-completeness.