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Attract, engage, and inspire your customers with an "Optimize and Socialize" content marketing strategy Optimize is designed to give readers a practical approach to integrating search and social media optimization with content marketing to boost relevance, visibility, and customer engagement. Companies, large and small, will benefit from the practical planning and creative content marketing tactics in this book that have been proven to increase online performance across marketing, public relations, and customer service. Learn to incorporate essential content optimization and social media engagement principles thereby increasing their ability to acquire and engage relevant customers online. Optimize provides insights from Lee Odden, one of the leading authorities on Content and Online Marketing. This book explains how to: Create a blueprint for integrated search, social media and content marketing strategy Determine which creative tactics will provide the best results for your company Implement search and social optimization holistically in the organization Measure the business value of optimized and socialized content marketing Develop guidelines, processes and training to scale online marketing success Optimize offers a tested approach for a customer-centric and adaptive online marketing strategy that incorporates the best of content, social media marketing, and search engine optimization tactics.
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
This book covers the theory and practice of optimization, providing a foundation of techniques and knowledge that apply to a wide variety of hardware and software. It uses small focused performance tests to give practical numbers for common optimization scenarios.--[book cover]
Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear programming, optimality and dynamic programming, more. 1969 edition.
Why downsize when you can OPTIMIZE? "At McDonald’s our focus has always been on providing maximum value to customers through ‘optimal’ quality and tight cost management, which is why Optimization has become such a pivotal concept for us. Steve Sashihara’s book brings the concept to life.” —Kenneth M. Koziol, Corp. Senior Vice President, Innovation and Design, McDonald’s Corp. “Steve Sashihara convincingly demonstrates how the application of advanced quantitative techniques can significantly improve day-to-day decision making, which is what we have done at Quad/Graphics.” —Dave Blais, Executive Vice President, Quad/Graphics “The Optimization Edge is a powerful book that will change the way organizations make decisions and manage their assets.” —Frances Hesselbein, President and CEO, Leader to Leader Institute; Recipient, Presidential Medal of Freedom “At UPS, the ‘optimization edge’ has given us a competitive advantage. It enables us to solve problems of great complexity seamlessly and with increased velocity, resulting in smarter decisions and ultimately bringing greater value to our customers.” —Chuck Holland, Vice President of Industrial Engineering, UPS About the Book: In these challenging economic times, more and more companies have turned to “cut-back management” to ensure their survival. But how do some manage to outshine their competitors—and even grow—during downturns? How does Google outsearch the other search engines? How does McDonald’s McClobber the competition? More important, how can you increase your company’s profits without downsizing? The answer is Asset Optimization. This groundbreaking approach to decision making utilizes the latest advances in mathematics and computer software. Optimization expert Steve Sashihara shows you how to squeeze every ounce of value from your company, even under “perfect storm” conditions. You’ll learn how to: Drive up your company’s value—even in a downturn Re-allocate your resources—for maximum performance Streamline your company—and stay ahead of the competition Optimize your assets—for long-term growth A proven, practical, and workable alternative to “corporate anorexia,” Optimization is your best option for dealing head-on with marketplace volatility and resource scarcity. This step-by-step guide offers concrete, ready-to- use tools drawn from decades of superior business practices—the best-kept secrets of global successes such as Amazon, Google, Marriott, McDonald’s, Intel, SAS, and UPS. You’ll learn what Optimization is, what best practices you can immediately put to use, how to use Optimization to speed up and improve decision making, and how to integrate Optimization into your organization’s culture. If you want to thrive in any economy—and grow your company in the future—forget about downsizing. Get The Optimization Edge.
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
This book presents a framework for development, optimization, and evaluation of behavioral, biobehavioral, and biomedical interventions. Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities. These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement. This volume introduces the multiphase optimization strategy (MOST), pioneered at The Methodology Center at the Pennsylvania State University, as an alternative to the classical approach of relying solely on the randomized controlled trial (RCT). MOST borrows heavily from perspectives taken and approaches used in engineering, and also integrates concepts from statistics and behavioral science, including the RCT. As described in detail in this book, MOST consists of three phases: preparation, in which the conceptual model underlying the intervention is articulated; optimization, in which experimentation is used to gather the information necessary to identify the optimized intervention; and evaluation, in which the optimized intervention is evaluated in a standard RCT. Through numerous examples, the book demonstrates that MOST can be used to develop interventions that are more effective, efficient, economical, and scalable. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy is the first book to present a comprehensive introduction to MOST. It will be an essential resource for behavioral, biobehavioral, and biomedical scientists; statisticians, biostatisticians, and analysts working in epidemiology and public health; and graduate-level courses in development and evaluation of interventions.
Maximizing the performance of your algorithms and applications is extremely important and can give you a competitive advantage, a lower cost of ownership, and happier users. Pro .NET Performance explains the internals of Windows, the CLR, and the physical hardware that affect the performance of your applications, and gives you the knowledge and tools to measure how your code performs in isolation from external factors. The book is full of C# code samples and tips to help you squeeze every bit of juice from your application—lower memory utilization, consistent CPU usage, and fewer I/O operations across the network and disk. Pro .NET Performance will change the way you think about .NET application development. Guides you through performance measurement with a variety of profilers and other tools Explains how OS and CLR internals affect your application’s performance in unexpected ways Provides you with tips and real-life case studies for improving application performance

Image Optimization: The Humble img Element; I IMAGE QUALITY AND PERFORMANCE: 2 Optimizing Image Quality; 3 Comparing Image Formats; 4 Color Management; 5 Image Decoding Performance; 6 Measuring Image Performance; II CURRENTIMAGE FORMATS: 7 JPEG; 8 PNG; 9 WebP; 10 SVG; III IMAGES IN BROWSERS: 11 Responsive Images; 12 Progressive Rendering Techniques; 13 Caching image assets; 14 Lazy-Loading Images; 15 Replacing Animated GIFs; 16 Image Content Delivery Networks; III NEW AND EMERGING IMAGE FORMATS: 17 HEIF and HEIC; 18 AVIF; 19 JPEG XL; 20 Comparing New Image File Formats; V FURTHER OPTIMIZATION: 21 Data Saver; 22 Optimize Images for Core Web Vitals; 23 Case study: Twitter

Addy Osmani

Published: 2021

Total Pages:


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Provides a practical modern guide to delivering high-quality images on the web -- from formats and compression to delivery and maintenance. The book focuses on what matters: modern approaches to image compression and image delivery, practical tools and techniques to automate optimization, responsive images, current and emerging image formats, how browsers load, decode and render images, CDNs, lazy-loading, adaptive media loading and how to optimize for Core Web Vitals.
This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact [email protected].