Download or read book Paris Optimizer 2017 written by Frank McBride and published by . This book was released on 2017-02-24 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Paris Optimizer is the guide for the independent-minded traveler who wants to make the best use of time and money while visiting the City of Light. Many guidebooks do an excellent job of answering the questions of "what" you might want to see and do in Paris. Our goal is to show you "how" to see Paris on your terms. The Paris Optimizer does not provide checklists of "must see" attractions or one-size-fits all itineraries. Rather, it provides you with the essential information that you need to design a Paris trip that is customized to be meaningful and memorable for you and your travel companions.We believe that if you spend a couple of hours with this guide, you will be well prepared to experience much more of what this wonderful city has to offer. Specifically, the Paris Optimizer will help you: * Determine your own "must see" list of museums, monuments, parks, and other attractions. * Provide ideas for attractions you may not have considered, but might appeal to you. * Enhance your visits to 50 popular attractions with "know before you go" information. * Understand the geography of Paris and how it affects your itinerary planning. * Find good and authentic French/European restaurants throughout the city that are within your budget. * Calculate realistic budgets for the on-the-ground costs of your Paris vacation and understand what different spending ranges will allow you to do. * Avoid situations that waste your time or cause you to overpay. * Set realistic expectations about what you can see and do during your visit.
Download or read book Paris Optimizer 2015 written by Frank McBride and published by . This book was released on 2015-05-11 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Paris Optimizer is the guide for the independent-minded traveler who wants to make the best use of time and money while visiting the City of Lights. Many guidebooks do an excellent job of answering the questions of "what" you might want to see and do in Paris. Our goal is to show you "how" to see Paris on your terms. The Paris Optimizer does not provide checklists of "must see" attractions or one-size-fits all itineraries. Rather, it provides you with the essential information that you need to design a Paris trip that is customized to be meaningful and memorable for you and your travel companions.We believe that if you spend a couple of hours with this guide, you will be well prepared to experience much more of what this wonderful city has to offer. Specifically, the Paris Optimizer will help you:* Determine your own "must see" list of museums, monuments, parks, and other attractions.* Provide ideas for attractions you may not have considered, but might appeal to you.* Enhance your visits to 50 popular attractions with "know before you go" information.* Understand the geography of Paris and how it affects your itinerary planning.* Find good and authentic French/European restaurants throughout the city that are within your budget.* Calculate realistic budgets for the on-the-ground costs of your Paris vacation and understand what different spending ranges will allow you to do.* Avoid situations that waste your time or cause you to overpay. * Set realistic expectations about what you can see and do during your visit.
Download or read book Modern Optimization Methods for Decision Making Under Risk and Uncertainty written by Alexei A. Gaivoronski and published by CRC Press. This book was released on 2023-10-06 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems. The articles are the outcome of a series international projects involving the leading scholars in the field of modern stochastic optimization and decision making. The structure of stochastic optimization solvers is described. The solvers in general implement stochastic quasi-gradient methods for optimization and identification of complex nonlinear models. These models constitute an important methodology for finding optimal decisions under risk and uncertainty. While a large part of current approaches towards optimization under uncertainty stems from linear programming (LP) and often results in large LPs of special structure, stochastic quasi-gradient methods confront nonlinearities directly without need of linearization. This makes them an appropriate tool for solving complex nonlinear problems, concurrent optimization and simulation models, and equilibrium situations of different types, for instance, Nash or Stackelberg equilibrium situations. The solver finds the equilibrium solution when the optimization model describes the system with several actors. The solver is parallelizable, performing several simulation threads in parallel. It is capable of solving stochastic optimization problems, finding stochastic Nash equilibria, and of composite stochastic bilevel problems where each level may require the solution of stochastic optimization problem or finding Nash equilibrium. Several complex examples with applications to water resources management, energy markets, pricing of services on social networks are provided. In the case of power system, regulator makes decision on the final expansion plan, considering the strategic behavior of regulated companies and coordinating the interests of different economic entities. Such a plan can be an equilibrium − a planned decision where a company cannot increase its expected gain unilaterally.
Download or read book Production Research written by Daniel Alejandro Rossit and published by Springer Nature. This book was released on 2021-05-11 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set presents selected and revised papers from the 10th International Conference of Production Research - Americas, ICPR-Americas 2020, held in Bahía Blanca, Argentina, in December 2020. Due to the COVID-19 pandemic the conference was held in a fully virtual format. The 41 full papers and 11 short papers were thoroughly reviewed and selected from 275 submissions. They are organized in topical sections on optimization; metaheuristics and algorithms; industry 4.0 and cyber-physical systems; smart city; intelligent systems and decision sciences; simulation; machine learning and big data.
Download or read book Optimization and Machine Learning written by Rachid Chelouah and published by John Wiley & Sons. This book was released on 2022-02-15 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.
Download or read book Optimization and Applications written by Yury Evtushenko and published by Springer. This book was released on 2019-01-09 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Optimization and Applications, OPTIMA 2018, held in Petrovac, Montenegro, in October 2018.The 35 revised full papers and the one short paper presented were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on mathematical programming; combinatorial and discrete optimization; optimal control; optimization in economy, finance and social sciences; applications.
Download or read book Search Engine Optimization written by Andreas Veglis and published by MDPI. This book was released on 2021-02-24 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue book focuses on the theory and practice of search engine optimization (SEO). It is intended for anyone who publishes content online and it includes five peer-reviewed papers from various researchers. More specifically, the book includes theoretical and case study contributions which review and synthesize important aspects, including, but not limited to, the following themes: theory of SEO, different types of SEO, SEO criteria evaluation, search engine algorithms, social media and SEO, and SEO applications in various industries, as well as SEO on media websites. The book aims to give a better understanding of the importance of SEO in the current state of the Internet and online information search. Even though SEO is widely used by marketing practitioners, there is a relatively small amount of academic research that systematically attempts to capture this phenomenon and its impact across different industries. Thus, this collection of studies offers useful insights, as well as a valuable resource that intends to open the door for future SEO-related research.
Download or read book Unconstrained Optimization and Quantum Calculus written by Bhagwat Ram and published by Springer Nature. This book was released on with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimization for Wireless Powered Communication Networks written by Guan Gui and published by Springer. This book was released on 2018-10-27 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief introduces the basics of wireless powered communication networks (WPCNs). In particular, the background and concept of WPCNs are briefly discussed. Moreover, this brief provides an extensive study of the recent developments in this area from an optimization perspective. Wireless powered communication network (WPCN) is a new network paradigm for IoT, where wireless devices (WDs) are powered by radio frequency (RF) based wireless power transfer (WPT) to eliminate the need for recharging or replacing the batteries manually and to prolong their lifetime.In this context, the brief also discusses some optimization problems for state-of-the-art scenarios of wireless powered communication networks. The target audiences for this SpringerBrief are researchers, engineers, and undergraduate and graduate-level students, who are studying or working in wireless powered communication networks and its performance optimization.
Download or read book Business Optimization Using Mathematical Programming written by Josef Kallrath and published by Springer Nature. This book was released on 2021-08-31 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
Download or read book Combinatorial Optimization and Applications written by Weili Wu and published by Springer Nature. This book was released on 2020-12-04 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 14th International Conference on Combinatorial Optimization and Applications, COCOA 2020, held in Dallas, TX, USA, in December 2020. The 55 full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers are grouped into the following topics: Approximation Algorithms; Scheduling; Network Optimization; Complexity and Logic; Search, Facility and Graphs; Geometric Problem; Sensors, Vehicles and Graphs; and Graph Problems. Due to the Corona pandemic this event was held virtually.
Download or read book Mathematical Optimization Theory and Operations Research written by Michael Khachay and published by Springer. This book was released on 2019-06-12 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, held in Ekaterinburg, Russia, in July 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 170 submissions. MOTOR 2019 is a successor of the well-known International and All-Russian conference series, which were organized in Ural, Siberia, and the Far East for a long time. The selected papers are organized in the following topical sections: mathematical programming; bi-level optimization; integer programming; combinatorial optimization; optimal control and approximation; data mining and computational geometry; games and mathematical economics.
Download or read book Combinatorial Optimization written by Jon Lee and published by Springer. This book was released on 2018-07-17 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Symposium on Combinatorial Optimization, ISCO 2018, held in Marrakesh, Marocco, in April 2018. The 35 revised full papers presented in this book were carefully reviewed and selected from 75 submissions. The symposium aims to bring together researchers from all the communities related to combinatorial optimization, including algorithms and complexity, mathematical programming and operations research.
Download or read book Bioinspired Optimization Methods and Their Applications written by Peter Korošec and published by Springer. This book was released on 2018-05-11 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed revised selected papers of the 10th International Conference on Bioinspired Optimization Models and Their Applications, BIOMA 2018, held in Paris, France, in May 2018. The 27 revised full papers were selected from 53 submissions and present papers in all aspects of bioinspired optimization research such as new algorithmic developments, high-impact applications, new research challenges, theoretical contributions, implementation issues, and experimental studies.
Download or read book The Paris System for Reporting Urinary Cytology written by Eva M. Wojcik and published by Springer Nature. This book was released on 2022-02-03 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of The Paris System for Reporting Urinary Cytology introduced a completely new paradigm for detecting bladder cancer by urine cytology. This system concentrated on defining morphological characteristics of the most clinically significant form of bladder cancer, High Grade Urothelial Carcinoma. This new approach has been widely accepted throughout the world, and has become part of the daily practice of cytology. Considering that the first edition of The Paris System (TPS) introduced a new model of urinary cytodiagnosis, verification and expansion of initial material and data were anticipated. Based on evolving knowledge and readership requests, the group of highly experienced authors have created a new edition of TPS. This second edition includes areas and issues not originally covered. A new chapter on urine cytology of the upper tract, a rarely addressed topic, has been introduced. Furthermore, the issue of cellular degeneration is discussed in the criteria of all diagnostic categories. Examples of standardized reports are included in each chapter. Most importantly, a separate chapter presents data defining the risk of malignancy (ROM) for each diagnostic category to inform clinical management. New high quality images augment those of the first edition to better illustrate diagnostic clues and potential pitfalls. In addition to chapters on diagnostic criteria, current concepts of pathogenesis of bladder cancer, specimen adequacy and preparation, and ancillary tests are covered in separate chapters. A bonus to the volume is a comprehensive history of urine as the earliest diagnostic sample of human disease, richly illustrated with artworks from major museums. Written by internationally recognized authorities, this comprehensive and evidence-based guide to urine cytology is supported by the newest data confirming the original concept and significance of diagnostic criteria defining High Grade Urothelial Carcinoma. TPS is an essential tool for anyone who is practicing urinary cytology, including cytotechnologists, pathologists-in-training and practicing pathologists. This book should find a place in every cytology laboratory throughout the world. The Concept has been endorsed by the American Society of Cytopathology, and the International Academy of Cytology.
Download or read book Nonlinear Analysis and Global Optimization written by Themistocles M. Rassias and published by Springer Nature. This book was released on 2021-02-26 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are applied to the study of optimization problems. Topics include set-valued analysis, mixed concave-convex sub-superlinear Schroedinger equation, Schroedinger equations in nonlinear optics, exponentially convex functions, optimal lot size under the occurrence of imperfect quality items, generalized equilibrium problems, artificial topologies on a relativistic spacetime, equilibrium points in the restricted three-body problem, optimization models for networks of organ transplants, network curvature measures, error analysis through energy minimization and stability problems, Ekeland variational principles in 2-local Branciari metric spaces, frictional dynamic problems, norm estimates for composite operators, operator factorization and solution of second-order nonlinear difference equations, degenerate Kirchhoff-type inclusion problems, and more.
Download or read book Recent Advances in Computational Optimization written by Stefka Fidanova and published by Springer Nature. This book was released on 2021-12-14 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in computational optimization. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2020. The book includes important real problems like modeling of physical processes, workforce planning, parameter settings for controlling different processes, transportation problems, wireless sensor networks, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential equations which describe real processes, solving engineering problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.
