C++ Programming: An Object-Oriented Approach

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【簡介】 Description C++ Programming: An Object-Oriented Approach uses a combination of thorough, well-ordered explanations and a strong visual framework to make programming concepts accessible to students. A strong pedagogical foundation, combines with a focus on the benefits of a consistent and well-documented programming style, prepares students to tackle academic and professional programming challenges with confidence. C++ Programming: An Object-Oriented Approach introduces the reader to object-oriented Programming through the use of C++. Using the syntax of the C++ language, while touching upon advanced concepts such as data structure and design patterns, enables the reader to have a context of object-oriented programming while learning. Why a new book in C++? This new text employs a formulaic structure to accomplish five goals: 1) to teach computer programming, 2) to teach syntax of the C++ language, 3) to present new features of C++, 4) to discuss data structure and introduce the STL library, and 5) to introduce design patterns. The text is complimented by online materials instructors can use to further engage students, including: CheckPoint questions that help students affirm their knowledge of the content while working through each section in a chapter Appendices that provide information that assists in addressing more advanced C++ topics Sample programs that can be run in the classroom to enhance discussion Chapter-by-chapter lecture PowerPoint slides that aid in the classroom experience Expanded online question banks that gauge the reader's understanding of the content This text, coupled with the associated support materials, provides an enhanced and complete introduction to the language of C++ and programming. 【目錄】 Table of Contents Chapter 1: Introduction to Computers and Programming Languages Chapter 2: Basics of C++ Programming Chapter 3: Expressions and Statements Chapter 4: Selection Chapter 5: Repetition Chapter 6: Functions Chapter 7: User-Defined Types: Classes Chapter 8: Arrays Chapter 9: References, Pointers, and Memory Management Chapter 10: Strings Chapter 11: Relationships among Classes Chapter 12: Polymorphism and Other Issues Chapter 13: Operator Overloading Chapter 14: Exception Handling Chapter 15: Generic Programming: Templates Chapter 16: Input/Output Streams Chapter 17: Recursion Chapter 18: Introduction to Data Structures Chapter 19: Standard Template Library (STL) Chapter 20: Design Patterns Appendices Appendix A: Unicode Appendix B: Positional Numbering System Appendix C: C++ Expressions and Operators Appendix D: Bitwise Operations Appendix E: Bit Fields Appendix F: Preprocessing Appendix G: Namespaces Appendix H: Ratios Appendix I: Time Appendix J: Lambda Expressions Appendix K: Regular Expressions Appendix L: Smart Pointers Appendix M: Random Number Generation Appendix N: References Appendix O: Move versus Copy Appendix P: A Brief Review of C++ 11 Appendix Q: Unified Modeling Language (UML) Appendix R: Bitset Glossary Index

線性代數 (8版)

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【簡介】 對於以數學為主以及科學、商業和工程系所的學生來說，線性代數已成為一門核心的課程。它在計算、理論及應用於現實生活、幾何學及其他領域中取得平衡，使得線性代數為所有數學課程中最獨特的學科。對於許多在專業領域中不管是使用純數或應數的人來說，絕對需要了解與認識線性代數。 　　本書的主要目標是清楚並簡潔地陳述線性代數的主要觀念，對於以證明為導向的課程，本書的內容十分嚴謹，尤其是在定理的陳述上主要在培養建立精確證明所需的技巧，所選擇的順序與涵蓋的主題是為了課程可以達到最大的效果、有效性與平衡性。作者相當仔細地挑選範例與習題來讓理論與應用和幾何的直觀可以取得平衡，新版本加入許多新的技巧建立、挑戰與應用習題。教學證明型態的習題組合 ( 真或假、證明、引導式證明、書寫題和技術題 ) 已經過仔細與大量地測驗來保證所列習題的嚴謹性、相關性並且涵蓋所有建議的主題。讀者也可以使用智慧型手機掃描各節習題所附QR Code 以獲得奇數習題的解答。 　　本書的每一章均會表列多個線性代數的實際生活應用，「線性代數應用」描述這個章節所討論之觀念的一個實際生活的應用，這些應用涵蓋生物與生活科學、商業與經濟、工程與技術、物理科學以及統計與機率。 【目錄】 第1章 線性方程式系統 第2章 矩陣 第3章 行列式 第4章 向量空間 第5章 內積空間 第6章　線性轉換 第7章 特徵值與特徵向量 奇數習題解答 索引

AI in Talent Development: Capitalize on the AI Revolution to Transform the Way You Work, Learn, and Live. (1版)

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【簡介】 Creating Transparent AIFrom agriculture to transportation, entertainment to medicine, and banking to social media, artificial intelligence (AI) is changing how humans do practically everything. We experience AI in our daily lives through our fitness trackers, home digital assistant systems, and curated news services, to name a few examples. For talent development, this is no different.The fields of artificial intelligence and talent development have been on a collision course for decades, and their convergence has already occurred. It has just taken many in our profession some time to recognize this fact. On the horizon, AI-powered innovations are transforming the workplace and the role of the talent development professional, affecting recruiting to training to compensation. As such, there are actions TD professionals should take now to prepare ourselves and our organizations for the evolving AI revolution.In AI in Talent Development, Margie Meacham describes the benefits, uses, and risks of AI technology and offers practical tools to strengthen and enhance learning and performance programs. In layman's terms, Meacham demonstrates how we can free time for ourselves by employing a useful robot "assistant," create a chatbot for specific tasks (such as a new manager bot, a sales coach bot, or new employee onboarding bot), and build personalized coaching tools from AI-processed big data. She concludes each of the six chapters with helpful tips and includes a resource guide with planning tools, templates, and worksheets.Meacham dispels fear of AI's black box--the term used to describe its unknowability and opacity--and points out ways AI can help us be better at creativity and critical thinking, what we humans do best. 【目錄】