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  • Sách/Book


  • Authors: Ivan Stanimirović (2022)

  • It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods. Advances in Optimization and Linear Programming is a highly useful guide to linear programming for professors and students in optimization and linear programming.

  • Sách/Book


  • Authors: Abu Sayed Mahfuz (2016)

  • This book focuses on the importance of software quality and security. It defines various types of testing, recognizes factors that propose value to software quality, and provides theoretical and real-world scenarios that offer value and contribute quality to projects and applications. The practical synopsis on common testing tools helps readers who are in testing jobs or those interested in pursuing careers as testers. It also helps test leaders, test managers, and others who are involved in planning, estimating, executing, and maintaining software.

  • Sách/Book


  • Authors: Nhut Nguyen (2024)

  • The Problem Solver’s Guide to Coding presents challenges covering fundamental data structures, algorithms, and mathematical problems. Challenges are grouped in top- ics, starting with the simplest data structure - Array. Most are arranged in order of increasing difficulty, but you can pick any chapter or any challenge to start since I write each independently to the other.

  • Sách/Book


  • Authors: Peter Späth (2020)

  • This book includes the latest Java SE releases that Android supports, and is geared towards the Android SDK version 10. It includes new content including JSON documents, functional programming, and lambdas as well as other language features important for migrating Java skills to Android development. Android is still the world's most popular mobile platform and because this technology is still mostly based on Java, you should first obtain a solid grasp of the Java language and its APIs in order to improve your chances of succeeding as an effective Android apps developer. Learn Java for Android Development, 4th Edition helps you do that. Each of the book's chapters provides an exercise section that gives you the opportunity to reinforce your understanding of the chapter's material. An...

  • Sách/Book


  • Authors: Margaret Kozak Polk (2024)

  • "As Android apps continue to grow in popularity and an associated job market emerges, the ability to develop software and applications for Android smartphones will only grow more relevant in the foreseeable future. Compiled from materials used in over a decade of teaching undergraduate and graduate students majoring in computer science and information technology, this book is a hands-on, step-by-step guide to coding Android apps that has been rigorously tested. Key Features: Each chapter begins with a list of student learning outcomes that can be used for assessment purposes and syllabus construction. The mechanics of Android app creation is presented in a very detailed, step-by-step progression, with accompanying screenshots and code explanations. New topics are introduced chapter-...

  • Sách/Book


  • Authors: Mrinal Kanti Bhowmik (2024)

  • The book addresses various degradations and artifacts of real-world for object detection task and also highlights the impacts of artifacts in the object detection problems. The book covers various imaging modalities and benchmark datasets mostly adopted by the research community for solving various aspects of object detection tasks. The book also collects together solutions and perspectives proposed by the pre-eminent researchers in the field, addressing not only the background of visibility enhancement, but also techniques proposed in the literature for visibility enhancement of scenes and detection of objects in various representative challenges of real-world. Computer Vision: Object Detection in Adversarial Vision is unique for its diverse content, clear presentation, and overall...

  • Sách/Book


  • Authors: Matthew N. O. Sadiku (2024)

  • This book is intended to serve as a textbook for junior-level students in electrical and computer engineering. The main aim of this second edition is to improve the clarity of the first edition and fulfill the same objective as the first, which is to present continuous-time and discrete-time signals and systems to electrical and computer engineering students in a manner that is clearer, more interesting, and easier to understand than other texts.

  • Sách/Book


  • Authors: Ping-Qi Pan (2023)

  • The second volume introduces contributions of the author himself, such as reduced and D-reduced-simplex methods, generalized reduced and dual reduced simplex methods, deficient-basis and dual deficient-basis-simplex methods, and face and dual face methods with Cholesky factorization, as well as with LU factorization. As a monograph, this book is a rare work in LP, containing many noval ideas and methods, supported by complete computational results. As revealed from the perspective of theory, the most recently achieved results, such as reduced and D-reduced simplex methods, as well as ILP solvers--- controlled-cut and controlled-branch methods, are very significant and promising, though there are no computational results available at this stage.

  • Sách/Book


  • Authors: Rap Payne (2024)

  • This book breaks down complex concepts and tasks into easily digestible segments with examples, pictures, and hands-on labs with starters and solutions. In doing so, you'll develop a basic understanding of the Dart programming language; the entire Flutter development toolchain; the differences between stateful and stateless widgets; and a working knowledge of the architecture of apps. All the most important parts of app development with Flutter are covered in this book. Work with themes and styles