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Pro Unity Game Development with C#
Pro Unity Game Development with C#

In Pro Unity Game Development with C#, Alan Thorn, author of Learn Unity for 2D Game Development and experienced game developer, takes you through the complete C# workflow for developing a cross-platform first person shooter in Unity. C# is the most popular programming language for experienced Unity developers, helping them get the most out of what Unity offers. If you're already using C# with Unity and you want to take the next step in becoming an experienced, professional-level game developer, this is the book you need. You'll understand and apply powerful programming concepts such as singleton classes, component based design, resolution independence, delegates, and event driven programming. ...
Unboxing Android USB
Unboxing Android USB

Unboxing Android USB focuses on apps that use USB. This book covers everything starting from simple tasks like managing media with USB to complex tasks like Android ADB and developing application which exploit the potential of USB framework. With use cases that help developers build real world apps in real-time utilizing the advanced features of USB framework Unboxing Android USB tries to cover every single aspect of the app development cycle in totality. Unboxing Android USB helps you learn newly introduced android open accessory protocol with unique examples such as using USB Keyboard with Android device without USB host mode enabled and switching from MTP to MSC. ...
Python Algorithms, 2nd Edition
Python Algorithms, 2nd Edition

Python Algorithms, 2nd Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others. ...
Irresistible Apps
Irresistible Apps

When you create an app, a website, or a game, how do you attract users, and perhaps more importantly, how do you keep them? Irresistible Apps explains exactly how to do this using a library of 27 motivational design patterns and real-world examples of how they work. As a developer, you need to retain users in the new economy of advertisements, subscriptions, and in-app purchases, but how do you do this? How do some applications keep users coming back? Why do people spend hours and hours playing World of Warcraft? Why do people care about Reddit karma? What makes customers keep buying from Amazon? Why do so many people love Khan Academy? ...
Beginning Android 3D Game Development
Beginning Android 3D Game Development

Beginning Android 3D Game Development is a unique, examples-driven book for today's Android and game app developers who want to learn how to build 3D game apps that run on the latest Android 5.0 (KitKat) platform using Java and OpenGL ES. Android game app development continues to be one of the hottest areas where indies and existing game app developers seem to be most active. Android is the second best mobile apps eco and arguably even a hotter game apps eco than iOS. 3D makes your games come alive; so in this book you'll find that we go in depth on creating 3D games for the Android platform with OpenGL ES 2.0 using an original case study game called Drone Grid. ...
MATLAB Symbolic Algebra and Calculus Tools
MATLAB Symbolic Algebra and Calculus Tools

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Symbolic Algebra and Calculus Tools introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic variables and functions, you will learn how to solve equations in MATLAB, both symbolically and numerically, and how to simplify the results. Extensive coverage of polynomial solutions, inequalities and systems of equations are covered in detail. You will see how MATLAB incorporates vector, matrix and character variables, and functions thereof. MATLAB is a powerful symbolic manipulato ...
Embedded Firmware Solutions
Embedded Firmware Solutions

Embedded Firmware Solutions is the perfect introduction and daily-use field guide--for the thousands of firmware designers, hardware engineers, architects, managers, and developers--to Intel's new firmware direction (including Quark coverage), showing how to integrate Intel® Architecture designs into their plans. Featuring hands-on examples and exercises using Open Source codebases, like Coreboot and EFI Development Kit (tianocore) and Chromebook, this is the first book that combines a timely and thorough overview of firmware solutions for the rapidly evolving embedded ecosystem with in-depth coverage of requirements and optimization. ...
Algorithmic Foundations of Robotics XI
Algorithmic Foundations of Robotics XI

This carefully edited volume is the outcome of the eleventh edition of the Workshop on Algorithmic Foundations of Robotics (WAFR), which is the premier venue showcasing cutting edge research in algorithmic robotics. The eleventh WAFR, which was held August 3-5, 2014 at Boğaziçi University in Istanbul, Turkey continued this tradition. This volume contains extended versions of the 42 papers presented at WAFR. These contributions highlight the cutting edge research in classical robotics problems (e.g. manipulation, motion, path, multi-robot and kinodynamic planning), geometric and topological computation in robotics as well novel applications such as informative path planning, active sensing and surgical planning. This book - rich by topics and authoritative contributors - is a unique reference on the current developments and new directions in the field of algorithmic foundations. ...
Data Structures and Algorithms with Python
Data Structures and Algorithms with Python

This book explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language ...
Linear and Nonlinear Programming, 4th Edition
Linear and Nonlinear Programming, 4th Edition

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and ...
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