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| first bad version leetcode solution: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
| first bad version leetcode solution: Coding Interview Questions Narasimha Karumanchi, 2012-05 Coding Interview Questions is a book that presents interview questions in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics. It comes handy as an interview and exam guide for computer scientists. Programming puzzles for interviews Campus Preparation Degree/Masters Course Preparation Big job hunters: Apple, Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more Reference Manual for working people Topics Covered: Programming BasicsIntroductionRecursion and BacktrackingLinked Lists Stacks Queues Trees Priority Queue and HeapsGraph AlgorithmsSortingSearching Selection Algorithms [Medians] Symbol TablesHashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Design Interview Questions Operating System Concepts Computer Networking Basics Database Concepts Brain Teasers NonTechnical Help Miscellaneous Concepts Note: If you already have Data Structures and Algorithms Made Easy no need to buy this. |
| first bad version leetcode solution: A Common-Sense Guide to Data Structures and Algorithms, Second Edition Jay Wengrow, 2020-08-10 Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable. |
| first bad version leetcode solution: Elements of Programming Interviews Adnan Aziz, Tsung-Hsien Lee, Amit Prakash, 2012 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. |
| first bad version leetcode solution: 演算法生存指南 李耕銘, 張凱鈞, 2022-10-01 |
| first bad version leetcode solution: Exercises for Programmers Brian P. Hogan, 2015-09-04 When you write software, you need to be at the top of your game. Great programmers practice to keep their skills sharp. Get sharp and stay sharp with more than fifty practice exercises rooted in real-world scenarios. If you're a new programmer, these challenges will help you learn what you need to break into the field, and if you're a seasoned pro, you can use these exercises to learn that hot new language for your next gig. One of the best ways to learn a programming language is to use it to solve problems. That's what this book is all about. Instead of questions rooted in theory, this book presents problems you'll encounter in everyday software development. These problems are designed for people learning their first programming language, and they also provide a learning path for experienced developers to learn a new language quickly. Start with simple input and output programs. Do some currency conversion and figure out how many months it takes to pay off a credit card. Calculate blood alcohol content and determine if it's safe to drive. Replace words in files and filter records, and use web services to display the weather, store data, and show how many people are in space right now. At the end you'll tackle a few larger programs that will help you bring everything together. Each problem includes constraints and challenges to push you further, but it's up to you to come up with the solutions. And next year, when you want to learn a new programming language or style of programming (perhaps OOP vs. functional), you can work through this book again, using new approaches to solve familiar problems. What You Need: You need access to a computer, a programming language reference, and the programming language you want to use. |
| first bad version leetcode solution: Java Concurrency in Practice Tim Peierls, Brian Goetz, Joshua Bloch, Joseph Bowbeer, Doug Lea, David Holmes, 2006-05-09 Threads are a fundamental part of the Java platform. As multicore processors become the norm, using concurrency effectively becomes essential for building high-performance applications. Java SE 5 and 6 are a huge step forward for the development of concurrent applications, with improvements to the Java Virtual Machine to support high-performance, highly scalable concurrent classes and a rich set of new concurrency building blocks. In Java Concurrency in Practice, the creators of these new facilities explain not only how they work and how to use them, but also the motivation and design patterns behind them. However, developing, testing, and debugging multithreaded programs can still be very difficult; it is all too easy to create concurrent programs that appear to work, but fail when it matters most: in production, under heavy load. Java Concurrency in Practice arms readers with both the theoretical underpinnings and concrete techniques for building reliable, scalable, maintainable concurrent applications. Rather than simply offering an inventory of concurrency APIs and mechanisms, it provides design rules, patterns, and mental models that make it easier to build concurrent programs that are both correct and performant. This book covers: Basic concepts of concurrency and thread safety Techniques for building and composing thread-safe classes Using the concurrency building blocks in java.util.concurrent Performance optimization dos and don'ts Testing concurrent programs Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model |
| first bad version leetcode solution: Grokking the System Design Interview Design Gurus, 2021-12-18 This book (also available online at www.designgurus.org) by Design Gurus has helped 60k+ readers to crack their system design interview (SDI). System design questions have become a standard part of the software engineering interview process. These interviews determine your ability to work with complex systems and the position and salary you will be offered by the interviewing company. Unfortunately, SDI is difficult for most engineers, partly because they lack experience developing large-scale systems and partly because SDIs are unstructured in nature. Even engineers who've some experience building such systems aren't comfortable with these interviews, mainly due to the open-ended nature of design problems that don't have a standard answer. This book is a comprehensive guide to master SDIs. It was created by hiring managers who have worked for Google, Facebook, Microsoft, and Amazon. The book contains a carefully chosen set of questions that have been repeatedly asked at top companies. What's inside? This book is divided into two parts. The first part includes a step-by-step guide on how to answer a system design question in an interview, followed by famous system design case studies. The second part of the book includes a glossary of system design concepts. Table of Contents First Part: System Design Interviews: A step-by-step guide. Designing a URL Shortening service like TinyURL. Designing Pastebin. Designing Instagram. Designing Dropbox. Designing Facebook Messenger. Designing Twitter. Designing YouTube or Netflix. Designing Typeahead Suggestion. Designing an API Rate Limiter. Designing Twitter Search. Designing a Web Crawler. Designing Facebook's Newsfeed. Designing Yelp or Nearby Friends. Designing Uber backend. Designing Ticketmaster. Second Part: Key Characteristics of Distributed Systems. Load Balancing. Caching. Data Partitioning. Indexes. Proxies. Redundancy and Replication. SQL vs. NoSQL. CAP Theorem. PACELC Theorem. Consistent Hashing. Long-Polling vs. WebSockets vs. Server-Sent Events. Bloom Filters. Quorum. Leader and Follower. Heartbeat. Checksum. About the Authors Designed Gurus is a platform that offers online courses to help software engineers prepare for coding and system design interviews. Learn more about our courses at www.designgurus.org. |
| first bad version leetcode solution: Project Management for the Unofficial Project Manager (Updated and Revised Edition) Kory Kogon, Suzette Blakemore, 2024-01-16 No project management training? No problem! In today’s workplace, employees are routinely expected to coordinate and manage projects. Yet, chances are, you aren’t formally trained in managing projects—you’re an unofficial project manager. FranklinCovey experts Kory Kogon and Suzette Blakemore understand the importance of leadership in project completion and explain that people are crucial in the formula for success. This updated and revised edition of Project Management for the Unofficial Project Manager offers practical, real-world insights for effective project management and guides you through the essentials of the value, people, and project management process: Scope Plan Engage Track and Adapt Close If you’re struggling to ensure multiple projects are finished with high value and on time, this book is for you. If you manage projects without the benefit of a team, this book is also for you. Change the way you think about project management—project manager may not be your official title, but with the right strategies, you can excel in this project economy. |
| first bad version leetcode solution: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| first bad version leetcode solution: Learning Python Mark Lutz, 2007-10-22 Portable, powerful, and a breeze to use, Python is ideal for both standalone programs and scripting applications. With this hands-on book, you can master the fundamentals of the core Python language quickly and efficiently, whether you're new to programming or just new to Python. Once you finish, you will know enough about the language to use it in any application domain you choose. Learning Python is based on material from author Mark Lutz's popular training courses, which he's taught over the past decade. Each chapter is a self-contained lesson that helps you thoroughly understand a key component of Python before you continue. Along with plenty of annotated examples, illustrations, and chapter summaries, every chapter also contains Brain Builder, a unique section with practical exercises and review quizzes that let you practice new skills and test your understanding as you go. This book covers: Types and Operations -- Python's major built-in object types in depth: numbers, lists, dictionaries, and more Statements and Syntax -- the code you type to create and process objects in Python, along with Python's general syntax model Functions -- Python's basic procedural tool for structuring and reusing code Modules -- packages of statements, functions, and other tools organized into larger components Classes and OOP -- Python's optional object-oriented programming tool for structuring code for customization and reuse Exceptions and Tools -- exception handling model and statements, plus a look at development tools for writing larger programs Learning Python gives you a deep and complete understanding of the language that will help you comprehend any application-level examples of Python that you later encounter. If you're ready to discover what Google and YouTube see in Python, this book is the best way to get started. |
| first bad version leetcode solution: The Algorithm Design Manual Steven S Skiena, 2009-04-05 This newly expanded and updated second edition of the best-selling classic continues to take the mystery out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW war stories relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java |
| first bad version leetcode solution: Algorithms, Part II Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| first bad version leetcode solution: Introduction to Algorithms, third edition Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, 2009-07-31 The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. 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 exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide. |
| first bad version leetcode solution: Student Solutions Manual for Numerical Analysis Timothy Sauer, 2012-03 |
| first bad version leetcode solution: Algorithms Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| first bad version leetcode solution: Programming Challenges Steven S Skiena, Miguel A. Revilla, 2006-04-18 There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available. |
| first bad version leetcode solution: Web Scalability for Startup Engineers Artur Ejsmont, 2015-07-03 This invaluable roadmap for startup engineers reveals how to successfully handle web application scalability challenges to meet increasing product and traffic demands. Web Scalability for Startup Engineers shows engineers working at startups and small companies how to plan and implement a comprehensive scalability strategy. It presents broad and holistic view of infrastructure and architecture of a scalable web application. Successful startups often face the challenge of scalability, and the core concepts driving a scalable architecture are language and platform agnostic. The book covers scalability of HTTP-based systems (websites, REST APIs, SaaS, and mobile application backends), starting with a high-level perspective before taking a deep dive into common challenges and issues. This approach builds a holistic view of the problem, helping you see the big picture, and then introduces different technologies and best practices for solving the problem at hand. The book is enriched with the author's real-world experience and expert advice, saving you precious time and effort by learning from others' mistakes and successes. Language-agnostic approach addresses universally challenging concepts in Web development/scalability—does not require knowledge of a particular language Fills the gap for engineers in startups and smaller companies who have limited means for getting to the next level in terms of accomplishing scalability Strategies presented help to decrease time to market and increase the efficiency of web applications |
| first bad version leetcode solution: Open Data Structures Pat Morin, 2013 Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching. |
| first bad version leetcode solution: The Design Patterns Smalltalk Companion Sherman R. Alpert, Kyle Brown, Bobby Woolf, 1998 In this new book, intended as a language companion to the classic Design Patterns , noted Smalltalk and design patterns experts implement the 23 design patterns using Smalltalk code. This approach has produced a language-specific companion that tailors the topic of design patterns to the Smalltalk programmer. The authors have worked closely with the authors of Design Patterns to ensure that this companion volume meets the same quality standards that made the original a bestseller and indispensable resource. The full source code will be available on the AWL web site. |
| first bad version leetcode solution: Algorithmic Puzzles Anany Levitin, Maria Levitin, 2011-10-14 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. 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 150 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. |
| first bad version leetcode solution: How to Solve it George Pólya, 2014 Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams.--Back cover. |
| first bad version leetcode solution: How to Design Programs, second edition Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi, 2018-05-25 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. |
| first bad version leetcode solution: Algorithms Robert Sedgewick, 1988 Software -- Programming Techniques. |
| first bad version leetcode solution: Mastering Oracle PL/SQL Christopher Beck, Joel Kallman, Chaim Katz, David C. Knox, Connor McDonald, 2008-01-01 If you have mastered the fundamentals of the PL/SQL language and are now looking for an in-depth, practical guide to solving real problems with PL/SQL stored procedures, then this is the book for you. |
| first bad version leetcode solution: Algorithms Jeff Erickson, 2019-06-13 Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This textbook is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problem-solving process. The book includes important classical examples, hundreds of battle-tested exercises, far too many historical digressions, and exaclty four typos. Jeff Erickson is a computer science professor at the University of Illinois, Urbana-Champaign; this book is based on algorithms classes he has taught there since 1998. |
| first bad version leetcode solution: The Diet Cure Julia Ross, 2012-05-02 More than 100,000 copies later, this breakthrough program is more effective than ever— substantially revised and updated to include the author's latest clinical research. For the more than 160 million overweight Americans, dieting is a failure. Based on more than twenty years of proven clinical results, The Diet Cure's revolutionary approach curbs food cravings and restores the brain's mood and appetite chemistry in twenty-four hours. Beginning with her 8-Step Quick Symptom Questionnaire, celebrated nutritional psychotherapist Julia Ross helps readers identify their unique underlying biochemical imbalances and provides targeted strategies to correct those imbalances using nutritional supplements to jump-start the dietary overhaul. Readers then create their own safe, easy-to-follow plan to end low-calorie dieting and food obsessions for good. |
| first bad version leetcode solution: The Nature of Software Development Ron Jeffries, 2015-02-19 You need to get value from your software project. You need it free, now, and perfect. We can't get you there, but we can help you get to cheaper, sooner, and better. This book leads you from the desire for value down to the specific activities that help good Agile projects deliver better software sooner, and at a lower cost. Using simple sketches and a few words, the author invites you to follow his path of learning and understanding from a half century of software development and from his engagement with Agile methods from their very beginning. The book describes software development, starting from our natural desire to get something of value. Each topic is described with a picture and a few paragraphs. You're invited to think about each topic; to take it in. You'll think about how each step into the process leads to the next. You'll begin to see why Agile methods ask for what they do, and you'll learn why a shallow implementation of Agile can lead to only limited improvement. This is not a detailed map, nor a step-by-step set of instructions for building the perfect project. There is no map or instructions that will do that for you. You need to build your own project, making it a bit more perfect every day. To do that effectively, you need to build up an understanding of the whole process. This book points out the milestones on your journey of understanding the nature of software development done well. It takes you to a location, describes it briefly, and leaves you to explore and fill in your own understanding. What You Need: You'll need your Standard Issue Brain, a bit of curiosity, and a desire to build your own understanding rather than have someone else's detailed ideas poured into your head. |
| first bad version leetcode solution: Core Java SE 9 for the Impatient Cay S. Horstmann, 2017-09-15 An Accessible Guide to the Java Language and Libraries Modern Java introduces major enhancements that impact the core Java technologies and APIs at the heart of the Java platform. Many old Java idioms are no longer needed and new features such as modularization make you far more effective. However, navigating these changes can be challenging. Core Java® SE 9 for the Impatient, Second Edition, is a complete yet concise guide that includes all the latest changes up to Java SE 9. Written by Cay S. Horstmann–author of the classic two-volume Core Java–this indispensable tutorial offers a faster, easier pathway for learning modern Java. Given Java SE 9’s size and the scope of its enhancements, there’s plenty to cover, but it’s presented in small chunks organized for quick access and easy understanding. Horstmann’s practical insights and sample code help you quickly take advantage of all that’s new, from Java SE 9’s long-awaited “Project Jigsaw” module system to the improvements first introduced in Java SE 8, including lambda expressions and streams. Use modules to simplify the development of well-performing complex systems Migrate applications to work with the modularized Java API and third-party modules Test code as you create it with the new JShell Read-Eval-Print Loop (REPL) Use lambda expressions to express actions more concisely Streamline and optimize data management with today’s Streams API Leverage modern concurrent programming based on cooperating tasks Take advantage of a multitude of API improvements for working with collections, input/output, regular expressions, and processes Whether you’re just getting started with modern Java or you’re an experienced developer, this guide will help you write tomorrow’s most robust, efficient, and secure Java code. Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available. |
| first bad version leetcode solution: A Programmer's Introduction to Mathematics Jeremy Kun, 2020-05-17 A Programmer's Introduction to Mathematics uses your familiarity with ideas from programming and software to teach mathematics. You'll learn about the central objects and theorems of mathematics, including graphs, calculus, linear algebra, eigenvalues, optimization, and more. You'll also be immersed in the often unspoken cultural attitudes of mathematics, learning both how to read and write proofs while understanding why mathematics is the way it is. Between each technical chapter is an essay describing a different aspect of mathematical culture, and discussions of the insights and meta-insights that constitute mathematical intuition. As you learn, we'll use new mathematical ideas to create wondrous programs, from cryptographic schemes to neural networks to hyperbolic tessellations. Each chapter also contains a set of exercises that have you actively explore mathematical topics on your own. In short, this book will teach you to engage with mathematics. A Programmer's Introduction to Mathematics is written by Jeremy Kun, who has been writing about math and programming for 10 years on his blog Math Intersect Programming. As of 2020, he works in datacenter optimization at Google.The second edition includes revisions to most chapters, some reorganized content and rewritten proofs, and the addition of three appendices. |
| first bad version leetcode solution: Programming Clojure Alex Miller, Stuart Halloway, Aaron Bedra, 2018-02-23 Drowning in unnecessary complexity, unmanaged state, and tangles of spaghetti code? In the best tradition of Lisp, Clojure gets out of your way so you can focus on expressing simple solutions to hard problems. Clojure cuts through complexity by providing a set of composable tools--immutable data, functions, macros, and the interactive REPL. Written by members of the Clojure core team, this book is the essential, definitive guide to Clojure. This new edition includes information on all the newest features of Clojure, such as transducers and specs. Clojure joins the flexibility and agility of Lisp with the reach, stability, and performance of Java. Combine Clojure's tools for maximum effectiveness as you work with immutable data, functional programming, and safe concurrency to write programs that solve real-world problems. Start by reading and understanding Clojure syntax and see how Clojure is evaluated. From there, find out about the sequence abstraction, which combines immutable collections with functional programming to create truly reusable data transformation code. Clojure is a functional language; learn how to write programs in a functional style, and when and how to use recursion to your advantage. Discover Clojure's unique approach to state and identity, techniques for polymorphism and open systems using multimethods and protocols, and how to leverage Clojure's metaprogramming capabilities via macros. Finally, put all the pieces together in a real program. New to this edition is coverage of Clojure's spec library, one of the most interesting new features of Clojure for describing both data and functions. You can use Clojure spec to validate data, destructure data, explain invalid data, and generate large numbers of tests to verify the correctness of your code. With this book, you'll learn how to think in Clojure, and how to take advantage of its combined strengths to build powerful programs quickly. What You Need: Java 6 or higher Clojure 1.9 |
| first bad version leetcode solution: Think Data Structures Allen B. Downey, 2017-07-07 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 Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes. |
| first bad version leetcode solution: Data Structures and Algorithm Analysis in C+ Mark Allen Weiss, 2003 In this second edition of his successful book, experienced teacher and author Mark Allen Weiss continues to refine and enhance his innovative approach to algorithms and data structures. Written for the advanced data structures course, this text highlights theoretical topics such as abstract data types and the efficiency of algorithms, as well as performance and running time. Before covering algorithms and data structures, the author provides a brief introduction to C++ for programmers unfamiliar with the language. Dr Weiss's clear writing style, logical organization of topics, and extensive use of figures and examples to demonstrate the successive stages of an algorithm make this an accessible, valuable text. New to this Edition *An appendix on the Standard Template Library (STL) *C++ code, tested on multiple platforms, that conforms to the ANSI ISO final draft standard 0201361221B04062001 |
| first bad version leetcode solution: Learning JavaScript Design Patterns Addy Osmani, 2012-07-08 With Learning JavaScript Design Patterns, you’ll learn how to write beautiful, structured, and maintainable JavaScript by applying classical and modern design patterns to the language. If you want to keep your code efficient, more manageable, and up-to-date with the latest best practices, this book is for you. Explore many popular design patterns, including Modules, Observers, Facades, and Mediators. Learn how modern architectural patterns—such as MVC, MVP, and MVVM—are useful from the perspective of a modern web application developer. This book also walks experienced JavaScript developers through modern module formats, how to namespace code effectively, and other essential topics. Learn the structure of design patterns and how they are written Understand different pattern categories, including creational, structural, and behavioral Walk through more than 20 classical and modern design patterns in JavaScript Use several options for writing modular code—including the Module pattern, Asyncronous Module Definition (AMD), and CommonJS Discover design patterns implemented in the jQuery library Learn popular design patterns for writing maintainable jQuery plug-ins This book should be in every JavaScript developer’s hands. It’s the go-to book on JavaScript patterns that will be read and referenced many times in the future.—Andrée Hansson, Lead Front-End Developer, presis! |
| first bad version leetcode solution: Daily Coding Problem Alex Miller, Lawrence Wu, 2019-01-31 Daily Coding Problem contains a wide variety of questions inspired by real programming interviews, with in-depth solutions that clearly take you through each core concept. You'll learn about: * Linked Lists * Arrays * Heaps * Trees * Graphs * Randomized Algorithms * Backtracking * Dynamic Programming * Stacks and Queues * Bit Manipulation * System Design |
| first bad version leetcode solution: The Java Virtual Machine Specification, Java SE 7 Edition Tim Lindholm, Frank Yellin, Gilad Bracha, Alex Buckley, 2013-02-15 Written by the inventors of the technology, The Java® Virtual Machine Specification, Java SE 7 Edition, is the definitive technical reference for the Java Virtual Machine. The book provides complete, accurate, and detailed coverage of the Java Virtual Machine. It fully describes the invokedynamic instruction and method handle mechanism added in Java SE 7, and gives the formal Prolog specification of the type-checking verifier introduced in Java SE 6. The book also includes the class file extensions for generics and annotations defined in Java SE 5.0, and aligns the instruction set and initialization rules with the Java Memory Model. |
| first bad version leetcode solution: A Mind for Numbers Barbara A. Oakley, 2014-07-31 Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. In her book, she offers you the tools needed to get a better grasp of that intimidating but inescapable field. |
| first bad version leetcode solution: Introduction To Algorithms Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein, 2001 An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms. |
| first bad version leetcode solution: Programming Pearls Jon Bentley, 2016-04-21 When programmers list their favorite books, Jon Bentley’s collection of programming pearls is commonly included among the classics. Just as natural pearls grow from grains of sand that irritate oysters, programming pearls have grown from real problems that have irritated real programmers. With origins beyond solid engineering, in the realm of insight and creativity, Bentley’s pearls offer unique and clever solutions to those nagging problems. Illustrated by programs designed as much for fun as for instruction, the book is filled with lucid and witty descriptions of practical programming techniques and fundamental design principles. It is not at all surprising that Programming Pearls has been so highly valued by programmers at every level of experience. In this revision, the first in 14 years, Bentley has substantially updated his essays to reflect current programming methods and environments. In addition, there are three new essays on testing, debugging, and timing set representations string problems All the original programs have been rewritten, and an equal amount of new code has been generated. Implementations of all the programs, in C or C++, are now available on the Web. What remains the same in this new edition is Bentley’s focus on the hard core of programming problems and his delivery of workable solutions to those problems. Whether you are new to Bentley’s classic or are revisiting his work for some fresh insight, the book is sure to make your own list of favorites. |
| first bad version leetcode solution: Your First Year in Code Isaac Lyman, 2019-09-17 Starting a career in programming can be intimidating. Whether you're switching careers, joining a bootcamp, starting a C.S. degree, or learning on your own, Your First Year in Code can help, with practical advice on topics like code reviews, resume writing, fitting in, ethics, and finding your dream job. |
Top Google Questions - Libao Jin
Solution 01/02/2020: 3. Longest Substring Without Repeating Characters Description Solution class Solution {public: vector twoSum(vector& nums, int target) {unordered_map
LeetCode Solutions - ProgramCreek.com
Feb 27, 2015 · In this post, I will summarize 3 different solutions for this problem. Naively, we can simply examine every substring and check if it is palindromic. The time complexity is O(nˆ3).
75 Most Important LeetCode DSA Questions - AlgoTutor
Given an array of integer nums and an integer target, return indices of the two numbers such that they add up to the target. You may assume that each input would have exactly one solution, …
First Bad Version Leetcode (Download Only) - archive.ncarb.org
First Bad Version Leetcode Robert Sedgewick,Kevin Wayne. First Bad Version Leetcode: 演算法生存指南 李耕銘,張凱鈞,2022-10-01 A Common-Sense Guide to Data Structures and …
CompleteDatastructuresand UPDATED 2023 2022 2023
This solution is absolutely correct, but it requires you to have a separate set (space complexity), can we do something better? Think of something on the lines of 2 pointers. Can we have a …
Set Cover Problem (Chapter 2.1, 12) - MIT Mathematics
How can we solve it? 1. Greedy Method – or “brute force” method Let C represent the set of elements covered so far Let cost effectiveness, or α , be the average cost per newly covered …
CSE 5311 Homework 4 Solution - ranger.uta.edu
Give an algorithm that determines whether or not a given undirected graph G = (V; E) contains a cycle. Your algorithm should run in O(V ) time, independent of jEj. An undirected graph is …
First Bad Version Leetcode Copy - archive.ncarb.org
First Bad Version Leetcode: A Common-Sense Guide to Data Structures and Algorithms, Second Edition Jay Wengrow,2020-08-10 Algorithms and data structures are much more than abstract …
First Bad Version Leetcode (2024) - archive.ncarb.org
First Bad Version Leetcode The Captivating Realm of E-book Books: A Comprehensive Guide Unveiling the Pros of E-book Books: A World of Ease and Versatility E-book books, with their …
First Bad Version Leetcode (Download Only) - archive.ncarb.org
First Bad Version Leetcode: A Common-Sense Guide to Data Structures and Algorithms, Second Edition Jay Wengrow,2020-08-10 Algorithms and data structures are much more than abstract …
Past Problems - libaoj.in
Solution 1. First calculate the areas of rectangles, and then calculate the ratio of area of each rectangle against the total areas of rectangels, using cumsum to obtain the probability to pick …
LeetCode 101：和你一起你轻松刷题（C++ - LabXing
本书分为算法和数据结构两大部分，又细分了十五个章节，详细讲解了刷LeetCode 时常用 的技巧。我把题目精简到了101 道，一是呼应了本书的标题，二是不想让读者阅读和练习时间过 长。
Read Leetcode C Version - iceandeasy.co.uk
Leetcode C Version elicits a spectrum of emotions, leading readers on an impactful ride that is both intimate and universally relatable. The story explores ideas that strike a chord with …
Priority Queues, Binary Heaps, and Heapsort - University of …
A Heap is stored as an array. Here, the first element is at index 1 (not 0). It can start at index 0 as well. Heap properties: P1: Order (heap): The priority of every node is smaller than or equal to …
Interview Cheat Sheet - GitHub
Modularize your code from the very beginning. Break up your code into beautiful small pieces and add just comments if you need to.
Analysis of Code and Test-Code generated by Large …
However, our study is restricted in several ways. First, we selected basic textbook algorithms, published in many textbooks and repositories. This setup should be in favor of LLMs as they …
First Bad Version Leetcode (PDF) - archive.ncarb.org
We provide copy of First Bad Version Leetcode in digital format, so the resources that you find are reliable. There are also many Ebooks of related with First Bad Version Leetcode.
First Bad Version (book) - archive.ncarb.org
First Bad Version: Professional Git Brent Laster,2016-12-12 Leverage the power of Git to smooth out the development cycle Professional Git takes a professional approach to learning this …
First Bad Version (book) - archive.ncarb.org
First Bad Version: Professional Git Brent Laster,2016-12-12 Leverage the power of Git to smooth out the development cycle Professional Git takes a professional approach to learning this …
Leetcode Solutions Documentation - Read the Docs
# The version info for the project you’re documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents.
Top Google Questions - Libao Jin
Solution 01/02/2020: 3. Longest Substring Without Repeating Characters Description Solution class Solution {public: vector twoSum(vector& nums, int target) {unordered_map
LeetCode Solutions - ProgramCreek.com
Feb 27, 2015 · In this post, I will summarize 3 different solutions for this problem. Naively, we can simply examine every substring and check if it is palindromic. The time complexity is O(nˆ3).
75 Most Important LeetCode DSA Questions - AlgoTutor
Given an array of integer nums and an integer target, return indices of the two numbers such that they add up to the target. You may assume that each input would have exactly one solution, …
First Bad Version Leetcode (Download Only)
First Bad Version Leetcode Robert Sedgewick,Kevin Wayne. First Bad Version Leetcode: 演算法生存指南 李耕銘,張凱鈞,2022-10-01 A Common-Sense Guide to Data Structures and …
CompleteDatastructuresand UPDATED 2023 2022 2023
This solution is absolutely correct, but it requires you to have a separate set (space complexity), can we do something better? Think of something on the lines of 2 pointers. Can we have a …
Set Cover Problem (Chapter 2.1, 12) - MIT Mathematics
How can we solve it? 1. Greedy Method – or “brute force” method Let C represent the set of elements covered so far Let cost effectiveness, or α , be the average cost per newly covered …
CSE 5311 Homework 4 Solution - ranger.uta.edu
Give an algorithm that determines whether or not a given undirected graph G = (V; E) contains a cycle. Your algorithm should run in O(V ) time, independent of jEj. An undirected graph is …
First Bad Version Leetcode Copy - archive.ncarb.org
First Bad Version Leetcode: A Common-Sense Guide to Data Structures and Algorithms, Second Edition Jay Wengrow,2020-08-10 Algorithms and data structures are much more than abstract …
First Bad Version Leetcode (2024) - archive.ncarb.org
First Bad Version Leetcode The Captivating Realm of E-book Books: A Comprehensive Guide Unveiling the Pros of E-book Books: A World of Ease and Versatility E-book books, with their …
First Bad Version Leetcode (Download Only)
First Bad Version Leetcode: A Common-Sense Guide to Data Structures and Algorithms, Second Edition Jay Wengrow,2020-08-10 Algorithms and data structures are much more than abstract …
Past Problems - libaoj.in
Solution 1. First calculate the areas of rectangles, and then calculate the ratio of area of each rectangle against the total areas of rectangels, using cumsum to obtain the probability to pick …
LeetCode 101：和你一起你轻松刷题（C++ - LabXing
本书分为算法和数据结构两大部分，又细分了十五个章节，详细讲解了刷LeetCode 时常用 的技巧。我把题目精简到了101 道，一是呼应了本书的标题，二是不想让读者阅读和练习时间过 长。
Read Leetcode C Version - iceandeasy.co.uk
Leetcode C Version elicits a spectrum of emotions, leading readers on an impactful ride that is both intimate and universally relatable. The story explores ideas that strike a chord with …
Priority Queues, Binary Heaps, and Heapsort - University of …
A Heap is stored as an array. Here, the first element is at index 1 (not 0). It can start at index 0 as well. Heap properties: P1: Order (heap): The priority of every node is smaller than or equal to …
Interview Cheat Sheet - GitHub
Modularize your code from the very beginning. Break up your code into beautiful small pieces and add just comments if you need to.
Analysis of Code and Test-Code generated by Large Language …
However, our study is restricted in several ways. First, we selected basic textbook algorithms, published in many textbooks and repositories. This setup should be in favor of LLMs as they …
First Bad Version Leetcode (PDF) - archive.ncarb.org
We provide copy of First Bad Version Leetcode in digital format, so the resources that you find are reliable. There are also many Ebooks of related with First Bad Version Leetcode.
First Bad Version (book) - archive.ncarb.org
First Bad Version: Professional Git Brent Laster,2016-12-12 Leverage the power of Git to smooth out the development cycle Professional Git takes a professional approach to learning this …
First Bad Version (book) - archive.ncarb.org
First Bad Version: Professional Git Brent Laster,2016-12-12 Leverage the power of Git to smooth out the development cycle Professional Git takes a professional approach to learning this …
