ALo54的博客

The #1 Easy, Common-Sense Guide to SQL Queries—Updated with More Advanced Techniques and Solutions Foreword by Keith W. Hare, Vice Chair, USA SQL Standards Committee SQL Queries for Mere Mortals has earned worldwide praise as the clearest, simplest tutorial on writing effective queries with the latest SQL standards and database applications. Now, author John L. Viescas has updated this hands-on classic with even more advanced and valuable techniques.

Every day, Internet users interact with technologies designed to undermine their privacy. Social media apps, surveillance technologies, and the Internet of Things are all built in ways that make it hard to guard personal information. And the law says this is okay because it is up to users to protect themselves―even when the odds are deliberately stacked against them. In Privacy’s Blueprint, Woodrow Hartzog pushes back against this state of affairs, arguing that the law should require software and hardware makers to respect privacy in the design of their products. Current legal doctrine treats technology as though it were value-neutral: only the user decides whether it functions for good or ill. But this is not so. As Hartzog explains, popular digital tools are designed to expose people and manipulate users into disclosing personal information.

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches “Matlab-style” and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. If NLP hasn’t been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You’ll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you’ll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you’ll understand how to apply NLP techniques to answer questions as can be used in chatbots.

In this completely updated edition covering Excel 2019, previous versions, and Office 365, Microsoft Excel Functions & Formulas 5/E demonstrates the secrets of Excel through the use of practical and useful examples in a quick reference format. Easy to use and equipped with a variety of functions, Microsoft Excel is the tool of choice when it comes to crunching numbers, building charts, and analyzing tables. The book’s extensive examples and added video tutorials make it an excellent resource for all Excel users who want to understand, create, and apply formulas. Experienced users will also find Microsoft Excel Functions & Formulas 5/E an excellent reference for many of the program’s advanced formulas and functions. The text is easy to understand with numerous step-by-step instructions and the actual, ready to use, Excel screenshots of the input and output from the formulas. The book includes companion files with video tutorials, over 250 worksheet files of examples for numerous functions, formulas, and all the figures from the text.

Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study.

Learn how to program JavaScript while creating interactive audio applications with JavaScript for Sound Artists: Learn to Code With the Web Audio API! William Turner and Steve Leonard showcase the basics of JavaScript language programing so that readers can learn how to build browser based audio applications, such as music synthesizers and drum machines. The companion website offers further opportunity for growth. Web Audio API instruction includes oscillators, audio file loading and playback, basic audio manipulation, panning and time. This book encompasses all of the basic features of JavaScript with aspects of the Web Audio API to heighten the capability of any browser.

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.

The First Practical, Hands-On Guide to Embedded System Programming for Android Today, embedded systems programming is a more valuable discipline than ever, driven by fast-growing, new fields such as wearable technology and the Internet of Things. In this concise guide, Roger Ye teaches all the skills you’ll need to write the efficient embedded code necessary to make tomorrow’s Android devices work. The first title in Addison-Wesley’s new Android™ Deep Dive series for intermediate and expert Android developers, Embedded Programming with Android™ draws on Roger Ye’s extensive experience with advanced projects in telecommunications and mobile devices. Step by step, he guides you through building a system with all the key components Android hardware developers must deliver to manufacturing. By the time you’re done, you’ll have the key programming, compiler, and debugging skills you’ll need for real-world projects. First, Ye introduces the essentials of bare-metal programming: creating assembly language code that runs directly on hardware. Then, building on this knowledge, he shows how to use C to create hardware interfaces for booting a Linux kernel with the popular U-Boot bootloader. Finally, he walks you through using filesystem images to boot Android and learning to build customized ROMs to support any new Android device. Throughout, Ye provides extensive downloadable code you can run, explore, and adapt.

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research.

A Structured Course of Short Projects For Young and New Coders. This course was developed in response to demand from teachers and parents for a child-friendly course that: engages students visually avoids complicated technology setup teaches programming and computer science concepts

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject.

This textbook is about lower-level computer programming:machine language and assembly language, and how these languagesare used in the typical computer system. This is meant to givethe student a basic understanding of the fundamental concepts ofthe organization and operation of a computer. Even if the studentnever again programs in assembly language (and we would hope thatthey never have to!) it is important that they understand whatthe computer is doing at the machine language level. A goodunderstanding of computer organization translates into a betterunderstanding of the features and limitations of all computerfacilities, since all systems must eventually rest on theunderlying hardware machine. This text uses MIX, from Knuth’s “The Art of Computer Programming”.

All software design is composition: the act of breaking complex problems down into smaller problems and composing those solutions. Most developers have a limited understanding of compositional techniques. It’s time for that to change. In “Composing Software”, Eric Elliott shares the fundamentals of composition, including both function composition and object composition, and explores them in the context of JavaScript. The book covers the foundations of both functional programming and object oriented programming to help the reader better understand how to build and structure complex applications using simple building blocks.

C# in Depth, Fourth Edition is your key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, you’ll master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more. The powerful, flexible C# programming language is the foundation of .NET development. Even after two decades of success, it’s still getting better! Exciting new features in C# 6 and 7 make it easier than ever to take on big data applications, cloud-centric web development, and cross-platform software using .NET Core. There’s never been a better time to learn C# in depth. C# in Depth, Fourth Edition is a revised edition of the bestseller written by C# legend Jon Skeet. This authoritative and engaging guide is your key to unlocking this powerful language, including the new features of C# 6 and 7. In it, Jon introduces expression-bodied members, interpolated strings, pattern matching, and more. Real-world examples drive it all home. By the end of this awesome book, you’ll be writing C# code with skill, style, and confidence.

This book describes the essential components of the SCION secure Internet architecture, the first architecture designed foremost for strong security and high availability. Among its core features, SCION also provides route control, explicit trust information, multipath communication, scalable quality-of-service guarantees, and efficient forwarding. The book includes functional specifications of the network elements, communication protocols among these elements, data structures, and configuration files. In particular, the book offers a specification of a working prototype. The authors provide a comprehensive description of the main design features for achieving a secure Internet architecture. They facilitate the reader throughout, structuring the book so that the technical detail gradually increases, and supporting the text with a glossary, an index, a list of abbreviations, answers to frequently asked questions, and special highlighting for examples and for sections that explain important research, engineering, and deployment features. The book is suitable for researchers, practitioners, and graduate students who are interested in network security.

Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Applications from applied math, physics, chemistry, biology, and computer science

Computing and random numbers examines various aspects of random numbers and variables including an extensive overview of Computing and random numbers. It includes Implementation of Hardware-Accelerated Scalable Parallel Random Number Generators, True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random Number Generators, Random Route and Quota Sampling: Do They Offer Any Advantage over Probably Sampling Method and Fuzzy -Means and Cluster Ensemble with Random Projection for Big Data Clustering. Provides the reader with insights into the development of its history, so as to understand the social emotional optimization algorithm with random emotional selection strategy, lymph diseases prediction using random forest and particle swarm optimization, challenges of internal and external variables of consumer behaviour towards mobile.

Computer networks and communications examines various aspects of Computer networks and communications including an extensive overview of and related topics of importance. It includes principles and protocols in computer networks, networking types, topologies, security, digital and analog transmission, transmission media and switching. Provides the reader with insights into the development, so as to understand the computer networks and communication. A detailed case study has also been discussed in order to give readers a practical example.

Business Data Processing examines various aspects of data processing in business development including an extensive overview of functional approaches, key data, governance, enterprise protection, the activity of business data processing, common features of the good contributions of business data processing, the protection of personal data by the company. Provides the reader with insights into the development of its history, so as to understand the Industry Professionals, The Functioning of Data Processing, Security and Safety of the Equipment, Business Endeavors and associated risk, Business Data Processing Services, Business Data Processing Methodology.

Beyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You’ll build on simple programming techniques like loops and conditionals to create your own custom functions. You’ll come away with a toolkit of strategies for analyzing and visualizing data of all sorts using R and RStudio. Spreadsheets are powerful tools for many tasks, but if you need to interpret, interrogate, and present data, they can feel like the wrong tools for the task. That’s when R programming is the way to go. The R programming language provides a comfortable environment to properly handle all types of data. And within the open source RStudio development suite, you have at your fingertips easy-to-use ways to simplify complex manipulations and create reproducible processes for analysis and reporting. With Beyond Spreadsheets with R you’ll learn how to go from raw data to meaningful insights using R and RStudio. Each carefully crafted chapter covers a unique way to wrangle data, from understanding individual values to interacting with complex collections of data, including data you scrape from the web. You’ll build on simple programming techniques like loops and conditionals to create your own custom functions. You’ll come away with a toolkit of strategies for analyzing and visualizing data of all sorts. What’s inside How to start programming with R and RStudio Understanding and implementing important R structures and operators Installing and working with R packages Tidying, refining, and plotting your data

Applications of Data Mining in Engineering, Management and Medicine has been broadly divided into four sections. According to some industry specialists, ‘Data is the new gold’ and has numerous applications in each and every field of industry, be it the engineering, medicine or management. The need of data mining in engineering, management and medicine is due to the fact that, these industries generate data in large quantities and data mining has made the job very efficient and quick.

This book describes the research of the authors over more than a decade on an end-to-end methodology for the design and development of Web Information Systems (WIS). It covers syntactics, semantics and pragmatics of WIS, introduces sophisticated concepts for conceptual modelling, provides integrated foundations for all these concepts and integrates them into the co-design method for systematic WIS development. WIS, i.e. data-intensive information systems that are realized in a way that arbitrary users can access them via web browsers, constitute a prominent class of information systems, for which acceptance by its a priori unknown users in varying contexts with respect to the presented content, the ease of functionality provided and the attraction of the layout adds novel challenges for modelling, design and development. This book is structured into four parts. Part I, Web Information Systems – General Aspects, gives a general introduction to WIS describing the challenges for their development, and provides a characterization by six decisive aspects: intention, usage, content, functionality, context and presentation. Part II, High-Level WIS Design – Strategic Analysis and Usage Modelling with Storyboarding, introduces methods for high-level design of WIS covering strategic aspects and the storyboarding method, which is discussed from syntactic, semantic and pragmatic perspectives. Part III, Conceptual WIS Design – Rigorous Modelling of Web Information Systems and their Layout with Web Interaction Types and Screenography, continues with conceptual design of WIS including layout and playout. This introduces the decisive web interaction types, the screenography method and adaptation aspects. The final Part IV, Rationale of the Co-Design Methodology and Systematic Development of Web Information Systems, describes the co-design method for WIS development and its application for the systematic engineering of systems. The book addresses the research community, and at the same time can be used for education of graduate students and as methodological support for professional WIS developers. For the WIS research community it provides methods for WIS modelling on all levels of abstraction including theoretical foundations and inference mechanisms as well as a sophisticated end-to-end methodology for systematic WIS engineering from requirements elicitation over conceptual modelling to aspects of implementation, layout and playout. For students and professional developers the book can be used as a whole for educational courses on WIS design and development, as well as for more specific courses on conceptual modelling of WIS, WIS foundations and reasoning, co-design and WIS engineering or WIS layout and playout development. 本书描述了十多年来作者对Web信息系统（WIS）设计和开发的端到端方法的研究。它涵盖了WIS的语法，语义和语用，介绍了概念建模的复杂概念，为所有这些概念提供了集成基础，并将它们集成到系统WIS开发的协同设计方法中。 WIS，即以任意用户可以通过网络浏览器访问它们的方式实现的数据密集型信息系统，构成了一类突出的信息系统，其先前的未知用户在不同的环境中接受所呈现的内容。 ，提供的功能的简易性和布局的吸引力为建模，设计和开发增加了新的挑战。 本书分为四个部分。第一部分，Web信息系统 - 一般方面，概述了WIS描述其开发的挑战，并提供了六个决定性方面的特征：意图，用法，内容，功能，背景和表示。第二部分，高级WIS设计 - 使用故事板进行战略分析和使用建模，介绍了WIS的高级设计方法，涵盖战略方面和故事板方法，从句法，语义和语用角度进行讨论。第三部分，概念性WIS设计 - Web信息系统的严格建模及其与Web交互类型和平面图的布局，继续WIS的概念设计，包括布局和播出。这介绍了决定性的网络交互类型，绘图方法和适应方面。最后的第四部分，共同设计方法的基本原理和网络信息系统的系统开发，描述了WIS开发的协同设计方法及其在系统工程系统中的应用。 本书致力于研究社区，同时可用于研究生的教育，也可作为专业WIS开发人员的方法支持。对于WIS研究社区，它提供了各种抽象层次的WIS建模方法，包括理论基础和推理机制，以及系统WIS工程的复杂端到端方法，从概念建模的需求获取到实现，布局和方面。播出。对于学生和专业开发人员，本书可作为整体用于WIS设计和开发的教育课程，以及关于WIS概念建模，WIS基础和推理，协同设计和WIS工程或WIS布局的更具体课程。播出发展。

This book continues first one of the same authors “Adaptive Image Processing Algorithms for Printing” and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors’ practical experience in algorithm development for industrial R&D. 本书继续介绍同一作者“用于打印的自适应图像处理算法”，并介绍了通过传统办公设备复制和扫描各种类型文档的方法和软件解决方案，提供了纠正扭曲和增强扫描文档的技术;自动裁剪和去偏斜技术;分割文本和图片区域的方法;文件分类器;通过曲线近似其轮廓来对符号进行矢量化的方法;用于扫描文件的最佳压缩的方法，用于缝合大型原件的部件的算法;通过微缩印刷和隐藏信息嵌入硬拷贝的复制保护方法;节省墨粉的算法方法。另外，考虑了整体印刷的方法。由于机器学习或巧妙的启发式方法，所描述的技术在自动模式下运行。由于它们是针对嵌入式系统或软件驱动程序的固件而设计的，因此大多数所提出的技术具有低计算复杂度和内存消耗。本书反映了作者在工业研发算法开发方面的实践经验。

Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system of hardware and software designed after the operations of neurons. Applied neural networks has a plethora of applications and the text tries to touch every aspect to give readers a wider perspective. Further, artificial neural networks (vaguely inspired by biological neural network) are also discussed to keep readers up to date regarding the latest innovations taking place. 应用神经网络和软计算检验神经网络和软计算之间的关系。 神经网络是神经元运行后设计的硬件和软件系统。 应用神经网络有很多应用，文本试图触及每个方面，为读者提供更广阔的视角。 此外，还讨论了人工神经网络（模糊地受到生物神经网络的启发），以使读者了解最新的创新。

This revised and expanded edition of Encyclopedia of Database Systems provides easy access to crucial concepts relevant to all aspects of very large databases, data management, and database systems, including areas of current interest and research results of historical significance. This comprehensive reference is organized alphabetically and each entry presents basic terminology, concepts, methods and algorithms, key results to date, references to the literature, and cross-references to other entries. Topics for the encyclopedia―including areas of current interest as well as research results of historical significance―were selected by a distinguished international advisory board and written by world-class experts in the field. New entries that reflect recent developments and technological advances in very large databases include: big data, big data technology, cloud computing, cloud data centers, business analytics, social networks, ranking, trust management, query over encrypted data, and more. Entirely new entries include database systems, relational database systems, databases, multimedia databases, bioinformatics, workflow systems, and web data management. Encyclopedia of Database Systems, 2nd edition, is designed to meet the needs of researchers, professors, graduate and undergraduate students in computer science and engineering. Industry professionals, from database specialists to software developers, will also benefit from this valuable reference work. 经过修订和扩展的数据库系统百科全书，可以轻松访问与大型数据库，数据管理和数据库系统的所有方面相关的关键概念，包括当前感兴趣的领域和具有历史意义的研究成果。此综合参考按字母顺序排列，每个条目提供基本术语，概念，方法和算法，迄今为止的关键结果，文献参考以及对其他条目的交叉引用。百科全书的主题 - 包括当前感兴趣的领域以及具有历史意义的研究成果 - 由一个杰出的国际顾问委员会选出，由该领域的世界级专家撰写。反映最新发展和大型数据库技术进步的新条目包括：大数据，大数据技术，云计算，云数据中心，业务分析，社交网络，排名，信任管理，加密数据查询等。全新的条目包括数据库系统，关系数据库系统，数据库，多媒体数据库，生物信息学，工作流系统和Web数据管理。 数据库系统百科全书，第2版，旨在满足计算机科学和工程领域的研究人员，教授，研究生和本科生的需求。从数据库专家到软件开发人员的行业专业人士也将从这一有价值的参考工作中受益。

Bring a new degree of interconnectivity to your world by building your own intelligent robots Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence. What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot 通过构建自己的智能机器人，为您的世界带来新的互联性 机器人技术的人工智能首先介绍了机器人操作系统（ROS），Python，机器人基础知识，以及从机器人开始所需的软件和工具。您将学习对决策有用的机器人概念，以及基本的导航技巧。 当您完成章节后，您将学习物体识别和遗传算法，这将教您的机器人识别和拾取不规则物体。随着大量的使用案例，您将探索自然语言处理（NLP）和机器学习技术，以进一步增强您的机器人。在最后的章节中，您将学习路径规划和面向目标的编程，这将有助于您的机器人确定任务的优先级。 到本书结束时，您将学会使用模拟智能为您的机器人提供人工个性。 你会学到什么 开始使用机器人技术和人工智能 应用模拟技术为您的机器人提供人工个性 使用神经网络和监督学习技术来理解对象识别 使用遗传算法拾取物体进行操纵 通过专家系统教您的机器人使用NLP进行收听 使用机器学习和计算机视觉来教您的机器人如何避开障碍物 了解路径规划，决策树和搜索算法，以增强您的机器人

AI is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers. This revised and updated Third Edition includes new techniques, algorithms, data structures and representations needed to create powerful AI in games. The companion website includes downloadable and executable source code that will be regularly updated by the author. Key Features A comprehensive professional tutorial and reference to implement ture AI in games Includes new exercises so readers can test their comprhension and understanding of the concepts and preactices presented Revised and updated to cover new techniques and advances in AI Walks the reader throuigh the entire game AI development process New and improved companion website with easily downloaded and executable source code AI是每个视频游戏中不可或缺的一部分。 这本书帮助平民在快速发展的游戏产业中跟上不断发展的技术进步，并为学生提供他们开始职业生涯所需的最新信息。 此修订和更新的第三版包括在游戏中创建强大的AI所需的新技术，算法，数据结构和表示。 配套网站包括可下载和可执行的源代码，作者将定期更新。 主要特点 一个全面的专业教程和参考，在游戏中实现真相AI 包括新的练习，以便读者可以测试他们对所提出的概念和预备的理解和理解 修订和更新，以涵盖人工智能的新技术和进步 在整个游戏AI开发过程中引导读者 新的和改进的伴侣网站，具有易于下载和可执行的源代码

Database administration isn’t about passing a certified exam, or about pointing and clicking your way through a crisis. Database administration is about applying the right solution at the right time, avoiding risk, and making robust choices that get you home each night in time for dinner with your family. This book will help elevate you to the level of Professional Oracle Database Administrator. This book provides information and techniques for keeping an Oracle database stable and running on-premise, and is fully updated to cover Oracle Database 18c. New in this edition is coverage of cloud administration in the Oracle Public Cloud, automation of tasks using the autonomous database features, and data movement with multi-tenant databases. The book covers everything from architecture of the database engine, securing objects and users, strategies for performing maintenance tasks and resolving performance problems, through to backup and recovery. Pro Oracle Database 18c Administration takes a modern approach to database administration. Emphasis is given to automation, which is of growing importance as more databases are being moved into various cloud solutions and database administrators are being required to manage more instances than ever. Focus is given to multi-tenant container architecture and pluggable databases, and the book takes a refreshing, results-oriented approach that helps you get the job done. What You’ll Learn Understand the differences between managing on-premise and cloud deployments Take advantage of new features in 18c while also managing older releases Manage more databases than ever by automating your environment Apply the latest techniques around pluggable databases and containerization Safeguard your data through good security and backup/recovery practices Troubleshoot common problems 数据库管理不是通过认证考试，也不是指点和点击危机中的方式。数据库管理是关于在合适的时间应用正确的解决方案，避免风险，并做出可靠的选择，让您每晚与家人共进晚餐。本书将帮助您提升专业Oracle数据库管理员的水平。 本书提供了保持Oracle数据库稳定并在本地运行的信息和技术，并且已完全更新以涵盖Oracle Database 18c。此版本中的新增内容包括Oracle公共云中的云管理，使用自治数据库功能的任务自动化以及使用多租户数据库的数据移动。本书涵盖了从数据库引擎的体系结构，保护对象和用户，执行维护任务和解决性能问题的策略，到备份和恢复的所有内容。 Pro Oracle Database 18c管理采用现代方法进行数据库管理。重点是自动化，随着越来越多的数据库被转移到各种云解决方案中，数据库管理员需要管理比以往更多的实例，这一点越来越重要。重点关注多租户容器架构和可插拔数据库，本书采用了一种令人耳目一新的，以结果为导向的方法，帮助您完成工作。 你将学到什么 了解管理内部部署和云部署之间的差异 充分利用18c中的新功能，同时管理旧版本 通过自动化环境管理比以往更多的数据库 围绕可插拔数据库和容器化应用最新技术 通过良好的安全性和备份/恢复实践来保护您的数据 解决常见问题

100% coverage of all Google Cloud exam objectives In Google Cloud Certified Associate Cloud Engineer Study Guide, you’ll get everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google cloud. 所有Google Cloud考试目标的100％覆盖率 在Google Cloud认证助理云工程师学习指南中，您将获得准备此重要考试所需的一切，并掌握获得令人垂涎的Google Cloud Engineering认证所需的技能。从预先评估测验开始，在开始之前评估您的知识，每章都包含考试目标和复习题，以及在线学习环境包括其他完整的练习测试。作为机器学习，大数据和云主题的受欢迎且经验丰富的在线课程作者Dan Sullivan撰写，Google Cloud认证助理云工程师学习指南是您在部署和管理Google云服务方面的王牌。 根据要构建的应用程序，从各种选项中选择正确的Google服务 计算云虚拟机并管理虚拟机 规划和部署存储 网络并配置访问和安全性 Google云端平台是一种领先的公共云，可为用户提供许多用于支持Google服务的相同软件，硬件和网络基础架构。企业，组织和个人可以在几分钟内启动服务器，存储数PB的数据，并使用Google Cloud Platform实施全球虚拟云。认证助理云工程师已经展示了在Google云中部署和运营基础架构，服务和网络所需的知识和技能。本考试指南旨在帮助您深入了解Google云端平台，以便您可以满足Google云中这些操作资源的需求。

Provides detailed mathematical exposition of the fundamentals of fuzzy set theory, including intuitionistic fuzzy sets This book examines fuzzy and intuitionistic fuzzy mathematics and unifies the latest existing works in literature. It enables readers to fully understand the mathematics of both fuzzy set and intuitionistic fuzzy set so that they can use either one in their applications. Each chapter of Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set begins with an introduction, theory, and several examples to guide readers along. The first one starts by laying the groundwork of fuzzy/intuitionistic fuzzy sets, fuzzy hedges, and fuzzy relations. The next covers fuzzy numbers and explains Zadeh’s extension principle. Then comes chapters looking at fuzzy operators; fuzzy similarity measures and measures of fuzziness; and fuzzy/intuitionistic fuzzy measures and fuzzy integrals. The book also: discusses the definition and properties of fuzzy measures; examines matrices and determinants of a fuzzy matrix; and teaches about fuzzy linear equations. Readers will also learn about fuzzy subgroups. The second to last chapter examines the application of fuzzy and intuitionistic fuzzy mathematics in image enhancement, segmentation, and retrieval. Finally, the book concludes with coverage the extension of fuzzy sets. This book: Covers both fuzzy and intuitionistic fuzzy sets and includes examples and practical applications Discusses intuitionistic fuzzy integrals and recent aggregation operators using Choquet integral, with examples Includes a chapter on applications in image processing using fuzzy and intuitionistic fuzzy sets Explains fuzzy matrix operations and features examples Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set is an ideal text for graduate and research students, as well as professionals, in image processing, decision-making, pattern recognition, and control system design. 提供模糊集理论基本原理的详细数学阐述，包括直觉模糊集 本书考察了模糊和直觉模糊数学，并统一了文献中最新的现有作品。它使读者能够完全理解模糊集和直觉模糊集的数学，以便他们可以在他们的应用程序中使用任何一个。 模糊集及其扩展的每一章：直觉模糊集从一个引言，理论和几个例子开始，引导读者。第一个是从模糊/直觉模糊集，模糊对冲和模糊关系奠定基础。接下来介绍模糊数字并解释Zadeh的扩展原理。然后是章节看模糊算子;模糊相似度量和模糊度量;模糊/直觉模糊测度和模糊积分。本书还讨论了模糊测度的定义和性质;检查模糊矩阵的矩阵和行列式;并教导模糊线性方程。读者还将了解模糊子群。倒数第二章考察了模糊和直觉模糊数学在图像增强，分割和检索中的应用。最后，本书总结了模糊集的扩展。这本书： 涵盖模糊和直觉模糊集，包括示例和实际应用 讨论了使用Choquet积分的直觉模糊积分和最近的聚合算子，并举例说明 包括使用模糊和直觉模糊集在图像处理中应用的章节 解释模糊矩阵运算和特征示例 模糊集及其扩展：直觉模糊集是研究生和研究生以及专业人员在图像处理，决策，模式识别和控制系统设计中的理想文本。

This book is divided into two parts. The chapters in Part I offer a comprehensive introduction to the C language and to fundamental programming concepts, followed by an explanation of realtime audio programming, including audio synthesis and processing. The chapters in Part II demonstrate how the object-oriented programming paradigm is useful in the modelling of computer music instruments, each chapter shows a set of instrument components that are paired with key C++ programming concepts. Ultimately the author discusses the development of a fully-fledged object-oriented library. Together with its companion volume, Computer Music Instruments: Foundations, Design and Development, this book provides a comprehensive treatment of computational instruments for sound and music. It is suitable for advanced undergraduate and postgraduate students in music and signal processing, and for practitioners and researchers. Some understanding of acoustics and electronic music would be helpful to understand some applications, but it’s not strictly necessary to have prior knowledge of audio DSP or programming, while C / C++ programmers with no experience of audio may be able to start reading the chapters that deal with sound and music computing. 本书分为两部分。第一部分的章节提供了对C语言和基本编程概念的全面介绍，然后是对实时音频编程的解释，包括音频合成和处理。第二部分的章节演示了面向对象编程范例如何在计算机乐器的建模中发挥作用，每章都展示了一组与关键C ++编程概念配对的乐器组件。最后，作者讨论了一个完全成熟的面向对象库的开发。 结合其配套卷，计算机乐器：基础，设计和开发，本书提供了对声音和音乐计算工具的综合处理。它适用于音乐和信号处理的高级本科生和研究生，以及从业人员和研究人员。对声学和电子音乐的一些理解有助于理解一些应用，但是对于音频DSP或编程的先验知识并不是绝对必要的，而没有音频经验的C / C ++程序员可能能够开始阅读处理的章节。有声音和音乐计算。

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now “the world’s most valuable resource.” But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is “the most valuable resource.” “These two authors are world-class experts on analytics, data management, and data quality; they’ve forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.” —Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy “I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today’s issues, such as computational Big Data.” —Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University “Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.” —A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University 数据科学家和必须从数据科学团队获得更多收益的领导者的基本指南 “经济学人”大胆地宣称，数据现在是“世界上最有价值的资源。”但是，正如Kenett和Redman所描述的那样，解锁这一价值需要远远超过技术卓越。数据科学的真实工作探索了解问题，处理质量问题，与决策者建立信任，将数据科学团队置于正确的组织点，以及帮助公司实现数据驱动。这项工作解释了一个优秀的数据科学家和一个伟大的数据科学家之间的差异，在一个创造边际贡献的团队和一个推动业务的团队之间，在一个从数据中获得一些价值的公司和一个数据真正是“最有价值的资源。“ “这两位作者是分析，数据管理和数据质量方面的世界级专家;他们比我们大多数人都知道的更多地忘记了这些主题。他们的书是务实的，可以理解的，并专注于真正重要的事情。如果你想以任何身份进行数据科学，你需要阅读它。“ -Thomas H. Davenport，巴布森学院杰出教授，麻省理工学院数字经济倡议研究员 “我喜欢你的书。这些章节解决了几代人面临统计数据的问题，更新以反映当今的问题，例如计算大数据。“ -Sir David Cox，纳菲尔德学院监狱长，牛津大学统计学教授 “数据科学对于竞争力，良好的政府，正确的决策至关重要。但什么是数据科学？到目前为止，Kenett和Redman给出了我在任何地方看到的主题的最佳介绍。它们解决了制定正确问题，收集正确数据，进行正确分析，做出正确决策以及衡量决策的实际影响等关键问题。这本书应该成为统计学和计算机科学系，商学院，分析学院以及最重要的是所有业务经理的必读书。“ -一个。 Blanton Godfrey，约瑟夫D.摩尔杰出大学教授，北卡罗来纳州立大学威尔逊纺织学院

This book shows how, through certain geometric transformations, some of the standard joints used in parallel robots can be replaced with lockable or non-holonomic joints. These substitutions allow for reducing the number of legs, and hence the number of actuators needed to control the robot, without losing the robot’s ability to bring its mobile platform to the desired configuration. The kinematics of the most representative examples of these new designs are analyzed and their theoretical features verified through simulations and practical implementations. 本书展示了如何通过某些几何变换，并联机器人中使用的一些标准关节可以用可锁定或非完整关节代替。 这些替换允许减少支腿的数量，并因此减少控制机器人所需的致动器的数量，而不会丧失机器人将其移动平台带到期望配置的能力。 分析了这些新设计最具代表性的例子的运动学，并通过仿真和实际实施验证了它们的理论特征。

The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks. 包括计算机网络，社交网络和生物网络在内的网络研究在过去几年引起了极大的兴趣。互联网的兴起和廉价计算机的广泛应用使得以前所未有的规模收集和分析网络数据成为可能，新理论工具的开发使我们能够从多种不同类型的网络中提取知识。网络研究具有广泛的跨学科性，在许多领域都有发展，包括数学，物理，计算机和信息科学，生物学和社会科学。本书汇集了这些领域中最重要的突破，并以连贯的方式呈现，凸显了不同领域工作之间的紧密联系。 涵盖的主题包括网络测量;分析网络数据的方法，包括在物理学，统计学和社会学中开发的方法;图论的基本原理;计算机算法;网络的数学模型，包括随机图模型和生成模型;和网络上发生的动态过程理论。

Use Visual Studio App Center with Xamarin Forms to set up a DevOps CI/CD pipeline, set up your mobile builds on either iOS or Android, set up Android and Apple certificates and provisioning profiles, distribute your app to your developers and testers, capture analytics and crashes from your users, communicate to your users with push notifications, and run UI tests on the Microsoft cloud. You will see how to automate and manage the life cycle of your apps through Microsoft’s Cloud Service, with a focus on integrating App Center into your Xamarin Forms apps with clear, practical examples. As you follow along with the sample app, you will see how easy it is to configure your builds, to test the sample app on various iOS and Android devices on the App Center cloud, and to distribute your app to real devices. Whether you are a developer on a small team or a startup or an architect in a large organization curious about the benefits of Visual Studio App Center, after finishing this book, you will be confident in setting up App Center on your next mobile project. Come join me on this journey through Visual Studio App Center with Xamarin Forms. What You Will Learn Create a DevOps CI/CD pipeline for your mobile app on both iOS and Android devices Save money without buying multiple iOS and Android devices and instead run cloud UI tests Stay informed about build successes and failures by integrating App Center with Slack Set up groups and add team members to your groups on App Center Distribute your app to your team on either iOS or Android devices Capture important user events in your code and report to App Center Give a friendly user experience by handling crashes gracefully and reporting to App Center Keep and analyze your user’s data on Azure by setting up automatic data export to Azure Communicate with your users using iOS and Android notification services from App Center Give your users a better experience by sending silent push notifications Include custom data in your push notifications 使用带有Xamarin Forms的Visual Studio App Center设置DevOps CI / CD管道，在iOS或Android上设置移动版本，设置Android和Apple证书以及配置文件，将应用程序分发给开发人员和测试人员，捕获分析来自用户的崩溃，通过推送通知与用户进行通信，以及在Microsoft云上运行UI测试。您将了解如何通过Microsoft的Cloud Service自动化和管理应用程序的生命周期，重点是通过清晰，实用的示例将App Center集成到您的Xamarin Forms应用程序中。当您按照示例应用程序进行操作时，您将看到配置构建，在App Center云上的各种iOS和Android设备上测试示例应用程序以及将应用程序分发到实际设备是多么容易。 无论您是小型团队或初创公司的开发人员还是大型组织的架构师，都对Visual Studio App Center的好处感到好奇，在完成本书后，您将有信心在下一个移动项目中设置App Center。快来加入我的Visual Studio App Center和Xamarin Forms。 你将学到什么 在iOS和Android设备上为您的移动应用程序创建DevOps CI / CD管道 无需购买多个iOS和Android设备即可省钱，而是运行云端UI测试 通过将App Center与Slack集成，随时了解构建成功与失败的相关信息 在App Center上设置组并将团队成员添加到您的组 在iOS或Android设备上将您的应用分发给您的团队 捕获代码中的重要用户事件并向App Center报告 通过优雅地处理崩溃并向App Center报告，提供友好的用户体验 通过设置自动数据导出到Azure来保留和分析Azure上的用户数据 使用App Center中的iOS和Android通知服务与您的用户进行通信 通过发送静默推送通知，为您的用户提供更好的体验 在推送通知中包含自定义数据

Take a practioner’s approach in analyzing the Internet of Things (IoT) devices and the security issues facing an IoT architecture. You’ll review the architecture’s central components, from hardware communication interfaces, such as UARTand SPI, to radio protocols, such as BLE or ZigBee. You’ll also learn to assess a device physically by opening it, looking at the PCB, and identifying the chipsets and interfaces. You’ll then use that information to gain entry to the device or to perform other actions, such as dumping encryption keys and firmware. As the IoT rises to one of the most popular tech trends, manufactures need to take necessary steps to secure devices and protect them from attackers. The IoT Hacker’s Handbook breaks down the Internet of Things, exploits it, and reveals how these devices can be built securely. What You’ll Learn Perform a threat model of a real-world IoT device and locate all possible attacker entry points Use reverse engineering of firmware binaries to identify security issues Analyze, assess, and identify security issues in exploited ARM and MIPS based binaries Sniff, capture, and exploit radio communication protocols, such as Bluetooth Low Energy (BLE), and ZigBee 采用实用者的方法分析物联网（IoT）设备和物联网架构面临的安全问题。 您将回顾架构的核心组件，从硬件通信接口（如UART和SPI）到无线电协议（如BLE或ZigBee）。您还将学习通过打开设备，查看PCB以及识别芯片组和接口来物理评估设备。然后，您将使用该信息进入设备或执行其他操作，例如转储加密密钥和固件。 随着物联网成为最受欢迎的技术趋势之一，制造商需要采取必要措施来保护设备并保护设备免受攻击者的攻击。物联网黑客手册打破了物联网，利用它，并揭示了如何安全地构建这些设备。 你将学到什么 执行真实世界物联网设备的威胁模型，找到所有可能的攻击者入口点 使用固件二进制文件的逆向工程来识别安全问题 分析，评估和识别已开发的基于ARM和MIPS的二进制文件中的安全问题 嗅探，捕获和利用无线电通信协议，例如蓝牙低功耗（BLE）和ZigBee

Packed with hands-on activities, MCSA GUIDE TO INSTALLATION, STORAGE, AND COMPUTE WITH MICROSOFT WINDOWS SERVER 2016, EXAM 70-740 equips you to pass the MCSE/MCSA certification exam while preparing you to become a successful Microsoft networking professional. A clear presentation emphasizes the skills to manage a Windows Server 2016 system and focuses on installation, management, and configuration. Extensive coverage of all exam objectives introduces Windows Server 2016 and covers server installation, server configuration and management, storage and file systems, Hyper-V virtualization, high availability, and server maintenance and monitoring. A full chapter highlights new Nano Server and Windows Containers. Unlike many certification books, this edition goes beyond the certification objectives to provide an understanding of the core technologies built into Windows Server. Hands-on activities focus on virtualization and can be performed in a classroom or within MindTap.

The main objective of this book is to explore the concept of cybersecurity in parallel and distributed computing along with recent research developments in the field. It also includes various real-time/offline applications and case studies in the fields of engineering and computer science and the modern tools and technologies used. Information on cybersecurity technologies is organized in the fifteen chapters of this book. This important book cover subjects such as: Research and solutions for the problem of hidden image detection Security aspects of data mining and possible solution techniques A comparative analysis of various methods used in e-commerce security and how to perform secure payment transactions in an efficient manner Blockchain technology and how it is crucial to the security industry Security for the Internet of Things Security issues and challenges in distributed computing security such as heterogeneous computing, cloud computing, fog computing, etc. Demonstrates the administration task issue in unified cloud situations as a multi-target enhancement issue in light of security Explores the concepts of cybercrime and cybersecurity and presents the statistical impact it is having on organizations Highlights some strategies for maintaining the privacy, integrity, confidentiality and availability of cyber information and its real-world impacts such as mobile security software for secure email and online banking, cyber health check programs for business, cyber incident response management, cybersecurity risk management Security policies and mechanisms, various categories of attacks (e.g., denial-of-service),  global security architecture, along with distribution of security mechanisms Security issues in the healthcare sector with existing solutions and emerging threats. 本书的主要目的是探索并行和分布式计算中的网络安全概念以及该领域最近的研究发展。它还包括工程和计算机科学领域的各种实时/离线应用和案例研究以及所使用的现代工具和技术。有关网络安全技术的信息在本书的十五章中进行了组织。 这本重要的书涵盖了以下主题： 隐藏图像检测问题的研究与解决方案 数据挖掘的安全方面和可能的解决方案技术 对电子商务安全中使用的各种方法以及如何以有效方式执行安全支付交易的比较分析 区块链技术及其对安全行业至关重要 物联网的安全性 分布式计算安全性中的安全问题和挑战，例如异构计算，云计算，雾计算等。 根据安全性，将统一云情况下的管理任务问题演示为多目标增强问题 探讨网络犯罪和网络安全的概念，并介绍它对组织的统计影响 重点介绍维护网络信息及其实际影响的隐私，完整性，机密性和可用性的一些策略，例如用于安全电子邮件和网上银行的移动安全软件，用于企业的网络健康检查计划，网络事件响应管理，网络安全风险管理 安全策略和机制，各种类型的攻击（例如，拒绝服务），全球安全架构以及安全机制的分发 医疗保健行业的安全问题与现有解决方案和新出现的威胁。

This textbook provides a starter’s guide to Verilog, to be used in conjunction with a one-semester course in Digital Systems Design, or on its own for readers who only need an introduction to the language. This book is designed to match the way the material is actually taught in the classroom. Topics are presented in a manner which builds foundational knowledge before moving onto advanced topics.  The author has designed the presentation with learning goals and assessment at its core. Each section addresses a specific learning outcome that the student should be able to “do” after its completion.  The concept checks and exercise problems provide a rich set of assessment tools to measure student performance on each outcome. Written the way the material is taught, enabling a bottom-up approach to learning which culminates with a high-level of learning, with a solid foundation; Emphasizes examples from which students can learn: contains a solved example for nearly every section in the book; Includes more than 200 exercise problems, as well as concept check questions for each section, tied directly to specific learning outcomes. 本教材提供了Verilog的入门指南，可与数字系统设计中的一学期课程结合使用，也可单独用于仅需要对该语言进行介绍的读者。本书旨在匹配教室中实际教授材料的方式。在转向高级主题之前，主题以建立基础知识的方式呈现。作者设计了以学习目标和评估为核心的演讲。每个部分都针对学生在完成后应该“做”的特定学习成果。概念检查和锻炼问题提供了丰富的评估工具，用于衡量学生在每项成果上的表现。 写下材料的教学方式，实现自下而上的学习方法，通过高水平的学习达到高潮，具有坚实的基础; 强调学生可以学习的例子：包含书中几乎每个部分的解决范例; 包括200多个运动问题，以及每个部分的概念检查问题，直接与特定的学习成果相关联。