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| Author | : Robert Bosch (mathématicien) |
| Publisher | : Princeton University Press |
| Total Pages | : 200 |
| Release | : 2019-11-12 |
| Genre | : Art |
| ISBN | : 0691164061 |
Bosch provides a lively and accessible introduction to the geometric, algebraic, and algorithmic foundations of optimization. He presents classical applications, such as the legendary Traveling Salesman Problem, and shows how to adapt them to make optimization art--opt art. art.
| Author | : Suvrit Sra |
| Publisher | : MIT Press |
| Total Pages | : 509 |
| Release | : 2012 |
| Genre | : Computers |
| ISBN | : 026201646X |
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields. Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity, size, and variety of today's machine learning models call for the reassessment of existing assumptions. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. It also devotes attention to newer themes such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many of these techniques draw inspiration from other fields, including operations research, theoretical computer science, and subfields of optimization. The book will enrich the ongoing cross-fertilization between the machine learning community and these other fields, and within the broader optimization community.
| Author | : R. Jon MacDonald |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021-10-05 |
| Genre | : |
| ISBN | : 9781544524962 |
With the explosion of direct-to-consumer online retailers, things have been heating up in the e-commerce industry. The differentiators of yesterday have become table stakes for modern brands-those that want to defend their position or gain market share will need to level up from foundational practices to advanced tactics. Opting in to Optimization provides a collection of principles that, when applied in a disciplined manner, has proven to help e-commerce leaders capitalize on unprecedented market demand and build sustainable, thriving businesses. Author R. Jon MacDonald has more than a decade of experience helping globally recognized brands like Nike, Xerox, Adobe, and The Economist design highly effective online purchasing experiences. In this book, he condenses all of that knowledge into a handful of powerful strategies and principles that will accelerate growth without compromising customer experience. Brief enough to review in a week, but impactful enough to last a lifetime, this book is a must-read for anyone in a leadership position at an ambitious online retailer.
| Author | : Shaun Tinney |
| Publisher | : |
| Total Pages | : 196 |
| Release | : 2015-09-04 |
| Genre | : |
| ISBN | : 9780692503003 |
Your guide to doubling online leads, customers, and revenue. The basic value proposition of any business is to help people get what they want. A website is no different. Nobody watches TV for the commercials, or visits your website to check out your latest marketing campaigns. If they're on your site, your marketing worked. Now it's time to help them get what they came for. The partners at The Good (http: //thegood.com), an ecommerce and lead generation advisory, have condensed their learnings from over a decade in the ecommerce space. Their battle tested process for growing online revenues for brands large and small is shared in this comprehensive and actionable path to doubling online leads, customers and revenue. This book offers a step by step guide to making websites that convert. "In the age of empowered customers the best possible business case is to put the needs of your customers first. This book is a practical, no-nonsense approach to doing just that. It may not always tell you what you want to hear, but it certainly tells you what you need to hear." -Gerry McGovern, Author, CEO of Customer Carewords "When you invite guests to your house, you want them to enjoy themselves and leave happy. You should have the same mindset with your website. In this book, The Good shows you how to create a customer experience that converts." -Stephen Lease, Founder, Simplify & Go
| Author | : Robert Phillips |
| Publisher | : Stanford University Press |
| Total Pages | : 470 |
| Release | : 2005-08-05 |
| Genre | : Business & Economics |
| ISBN | : 0804781648 |
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].
| Author | : Stephen P. Boyd |
| Publisher | : Cambridge University Press |
| Total Pages | : 744 |
| Release | : 2004-03-08 |
| Genre | : Business & Economics |
| ISBN | : 9780521833783 |
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.
| Author | : Aharon Ben-Tal |
| Publisher | : Princeton University Press |
| Total Pages | : 565 |
| Release | : 2009-08-10 |
| Genre | : Mathematics |
| ISBN | : 1400831059 |
Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.
| Author | : Christos H. Papadimitriou |
| Publisher | : Courier Corporation |
| Total Pages | : 530 |
| Release | : 2013-04-26 |
| Genre | : Mathematics |
| ISBN | : 0486320138 |
This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; local search heuristics for NP-complete problems, more. 1982 edition.
| Author | : Andrew B. King |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 394 |
| Release | : 2008-07-08 |
| Genre | : Computers |
| ISBN | : 1449367712 |
Remember when an optimized website was one that merely didn't take all day to appear? Times have changed. Today, website optimization can spell the difference between enterprise success and failure, and it takes a lot more know-how to achieve success. This book is a comprehensive guide to the tips, techniques, secrets, standards, and methods of website optimization. From increasing site traffic to maximizing leads, from revving up responsiveness to increasing navigability, from prospect retention to closing more sales, the world of 21st century website optimization is explored, exemplified and explained. Website Optimization combines the disciplines of online marketing and site performance tuning to attain the competitive advantage necessary on today's Web. You'll learn how to improve your online marketing with effective paid and natural search engine visibility strategies, strengthened lead creation and conversion to sales methods, and gold-standard ad copywriting guidelines. Plus, your increased site speed, reduced download footprint, improved reliability, and improved navigability will work synergistically with those marketing methods to optimize your site's total effectiveness. In this book for business and IT managers, author Andrew King, president of Website Optimization, LLC, has assembled experts in several key specialties to teach you: Search engine optimization -- addressing best (and worst) practices to improve search engine visibility, including step-by-step keyword optimization guidelines, category and tag cloud creation, and guerilla PR techniques to boost inbound links and improve rankings Pay-per-click optimization -- including ad copywriting guidelines, setting profit-driven goals, calculating and optimizing bids, landing page optimization, and campaign management tips Optimizing conversion rates -- increasing leads with site landing page guidelines, such as benefit-oriented copy, credibility-based design, value hierarchies, and tips on creating unique selling propositions and slogans Web performance tuning -- optimizing ways to use (X)HTML, CSS, and Ajax to increase speed, reduce your download footprint, and increase reliability Advanced tuning -- including client-side techniques such as on-demand content, progressive enhancement, and inline images to save HTTP requests. Plus server-side tips include improving parallelism, using cache control, browser sniffing, HTTP compression, and URL rewriting to remap links and preserve traffic Web metrics -- illustrating the best metrics and tools to gather details about visitors and measure web conversion and success rates. Covering both search marketing metrics and web performance measures including Pathloss and waterfall graphs Website Optimization not only provides you with a strategy for success, it also offers specific techniques for you and your staff to follow. A profitable website needs to be well designed, current, highly responsive, and optimally persuasive if you're to attract prospects, convert them to buyers, and get them to come back for more. This book describes precisely what you need to accomplish to achieve all of those goals.
| Author | : Roberto Battiti |
| Publisher | : Springer |
| Total Pages | : 487 |
| Release | : 2018-12-31 |
| Genre | : Computers |
| ISBN | : 3030053482 |
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018. The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.
