Multiobjective Optimization

SEO是Search Engine Optimization的縮寫，中文譯為「搜尋引擎最佳化」。簡單地說，SEO是指從自然搜尋結果獲得網站流量的技術和過程。好的SEO，可以讓潛在客戶更有機會進入您的網站，帶來更多的商機。 本書完整而詳盡地介紹了正規、有效的SEO實戰技術。精采內容包括： ．為何要做SEO？ ．搜尋引擎工作原理 ．關鍵字研究 ．網站架構最佳化 ．外部連結建設 ．SEO效果檢測及策略修正 ．SEO作弊及懲罰 ．排名因素列表 ．常用的SEO工具 ．SEO專案管理中需要注意的問題 本書不僅對需要做SEO的人員有幫助，如個人站長、公司SEO或網路行銷人員、SEO服務公司人員等，對所有從事與網站相關工作的人都有參考價值，如網站設計人員、程式師、大專院校網路行銷和電子商務課程、網路公司技術和行銷團隊、傳統商業公司電子商務團隊等。

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New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives. Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features:Thoroughly updated material throughoutNew chapters on boosting, ad

Addresses the topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods. This book presents an area of research that enables the design of m

Based on TD-LTE (Time Division-Long Term Evolution), this book adopts the modular teaching mode and applies the eNodeB equipment of Datang Mobile TD-LTE. Through the specific tasks in each module, it presents such contents as base station products, equipment installation, wireless technology, network testing, network planning and optimization, etc. in a comprehensive and detailed way. This book is divided into four training modules, namely, TD-LTE Equipment Cognition, TD-LTE Key Technologies, Network Test, Network Planning and Optimization. After learning the four training modules, learners can master the basic contents involved in the operation and maintenance of the mobile communications system, such as the hardware structure, maintenance and testing of the base station equipment, network planning and optimization. This book aims to cultivate high-quality skilled personnel who master the testing and optimization skills of base station and meet the requirements of standardized field m

This book explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechani

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

Precision CNC Machining for High-Performance Gears: Theory and Technology covers basic theories and methods, key technologies, and machining equipment in precision CNC machining of high-performance gears. Sections cover research status and development trends of machining technologies and CNC machining equipment of high-performance gears, calculation theories of the precision modification method of high-performance gears, methods of reducing the machining principle errors of high-performance gears, the modeling method of multi-source errors and the compensation technique of CNC gear machine tools, the key technologies of precision CNC gear machine tools, the optimization method of the process parameters of hobbing and grinding, key technologies, and more.

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term called Analytics is an overarching description of a compilation of methodologies. But, AI (Artificial Intelligence), statistics, decision science, optimization which have been around for decades has resurged. Also, things like business intelligence, On-line Analytical Processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? Extending on the foundations introduced in the first book this book illustrates how professionals in healthcare, business and government are applying these disciplines, methods and technologies. The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or ind

For cloud environments to deliver the business benefits and value they promise, their monitoring and management services must be optimally designed and configured. This is a complete, best-practice guide to selecting, deploying, and running Microsoft Azure's comprehensive monitoring and management services. Writing for every professional involved in delivering Azure services, leading cloud consultant Avinash Valiramani shows how to simplify administration, reduce downtime, avoid unnecessary cost, uncover and solve problems faster, and prepare yourself to address any new cloud workload or requirement. Valiramani offers practical guidance for all stages of your Azure journey, and all environments, no matter how sophisticated. You'll find detailed coverage of Azure Backup and Site Recovery, Azure Migrate, Azure Monitor, Azure Service Health, Azure Cost Optimization & Billing Center, Azure Cloud Shell, Azure Policy, and more. Drawing on his wide-ranging Azure experience, he combines hands-

How a web-scale network of autonomous micromanagers can challenge the AI revolution and combat the high cost of quantitative business optimization.The artificial intelligence (AI) revolution is leaving behind small businesses and organizations that cannot afford in-house teams of data scientists. In Microprediction, Peter Cotton examines the repeated quantitative tasks that drive business optimization from the perspectives of economics, statistics, decision making under uncertainty, and privacy concerns. He asks what things currently described as AI are not “microprediction,” whether microprediction is an individual or collective activity, and how we can produce and distribute high-quality microprediction at low cost. The world is missing a public utility, he concludes, while companies are missing an important strategic approach that would enable them to benefit―and also give back. In an engaging, colloquial style, Cotton argues that market-inspired “superminds” are likely to be very e

This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slide

Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems.

Discover the fundamental characteristics of ultra-dense networks with this comprehensive text. Featuring a consistent mathematical description of ultra-dense small cell networks while also covering real-world issues such as network deployment, operation and optimization, this book investigates performance metrics of coverage probability and area spectral efficiency (ASE) and addresses the aspects of ultra-dense networks that make them different from current networks. Insightful intuitions, which will assist decision-makers as they migrate their services, are explained and mathematically proven. The book presents the latest review of research outcomes on ultra-dense networks, based on both theoretical analyses and network simulations, includes over 200 sources from 3GPP, the Small Cell Forum, journals and conference proceedings, and covers all other related and prominent topics. This is an ideal reference text for professionals who are dealing with the development, deployment, operation

作為群體智能算法的典型代表，粒子群優化(Particle Swarm Optimization，PSO)算法自提出後吸引了國內外大量學者的關注，在算法的理論分析、性能改進及應用等方面出現了豐富的研究成果。本書主要研究PSO算法的各種改進思路及其在金融優化問題中的應用。首先介紹金融優化的理論和方法，隨後闡述PSO算法和QPSO(量子粒子群優化)算法的相關原理，接著從投資組合選擇和期權定價兩個方面分別闡述相關理論、方法以及PSO算法在其中的應用情況。

An updated edition of a widely used textbook, offering a clear and comprehensive presentation of mathematics for undergraduate economics students.This text offers a clear and comprehensive presentation of the mathematics required to tackle problems in economic analyses, providing not only straightforward exposition of mathematical methods for economics students at the intermediate and advanced undergraduate levels but also a large collection of problem sets. This updated and expanded fourth edition contains numerous worked examples drawn from a range of important areas, including economic theory, environmental economics, financial economics, public economics, industrial organization, and the history of economic thought. These help students develop modeling skills by showing how the same basic mathematical methods can be applied to a variety of interesting and important issues. The five parts of the text cover fundamentals, calculus, linear algebra, optimization, and dynamics. The onl

A history of design teaching from the mid-1950s to the mid-1990s told through essays, interviews, remembrances, and primary materials.With contributions by more than forty of the most influential voices in art, architecture, and design, After the Bauhaus, Before the Internet traces a history of design teaching from the mid-1950s to the mid-1990s through essays, interviews, remembrances, and primary materials. Geoff Kaplan has gathered a multigenerational group of theorists and practitioners to explore what design thinking and interdisciplinarity mean for design and its pedagogy and how they can be placed within a conceptual and historical context. At a time when all our choices and behaviors are putatively curated, and when “design thinking” is recruited to solve problems from climate change to social media optimization, this volume looks at how design’s self-understandings as a discipline have changed and how they affect the ways it writes its own histories and theories.

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne

An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and

Every decision and action you make contributes to your brand, so it makes sense that everything you do digitally also contributes to your digital brand. Use this bestselling guide to strengthen your brand's online presence and explore core marketing avenues.Digital Branding is ideal for any marketer or brand strategist to enhance their brand's online presence, and provides step-by-step, practical guidance on how to build a brand online and quantify it through tangible results. Written by a respected CIM fellow, course leader and industry thought leader, it examines core marketing areas such as content marketing, social media, search engine optimization and web analytics. Digital Branding delivers a robust framework for brand planning, identity, channel selection and measuring the effectiveness of campaign and includes lessons from Heineken, Cadbury, and Pepsi. Now fully updated, this third edition features new sections on brand authenticity, ethics and meaning as well as updates on soc