This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education , DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations , and Guide to DataFlow Supercomputing . Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code design, based on the variable repulsion force method; discusses the implementation of a face recognition application, using the DataFlow paradigm; proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers; surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm. This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.
In this book, the world´s foremost experts on pricing integrate theoretical rigor and practical application to present a comprehensive resource that covers all areas of the field. This volume brings together quantitative and qualitative approaches and highlights the most current innovations in theory and practice. Going beyond the traditional constraints of ´´price theory´´ and ´´price policy,´´ the authors coined the term ´´price management´´ to represent a holistic approach to pricing strategy and tactical implementation. They remind us that the Ancient Romans used one word, pretium , to mean both price and value. This is the fundamental philosophy that drives successful price management where producer and customer meet. Featuring dozens of examples and case studies drawn from their extensive research, consulting, and teaching around the world, Simon and Fassnacht cover all aspects of pricing following the price management process with its four phases: strategy, analysis, decision, and implementation. Thereby, the authors take into account the nuances across industry sectors, including consumer goods, industrial products, services, and trade/distribution. In particular, they address the implications of technological advancements, such as the Internet and new measurement and sensor technologies that have led to a wealth of price management innovations, such as flat rates, freemium, pay-per-use, or pay-what-you-want. They also address the emergence of new price metrics, Big Data applications, two-sided price systems, negative prices, and the sharing economy, as well as emerging payment systems such as bitcoin. The result is a ´´bible´´ for leaders who recognize that price is not only a means to drive profit in the short term, but a tool to generate sustained growth in shareholder value over the longer term, and a primer for researchers, instructors, and students alike. Praise for Price Management ´´This book is truly state of the art and the most comprehensive work in price management.´´ - Prof. Philip Kotler , Kellogg School of Management, Northwestern University ´´This very important book builds an outstanding bridge between science and practice.´´ - Kasper Rorsted , CEO, Adidas ´´This book provides practical guidelines on value creation, communication and management, which is an imperative for businesses to survive in the coming era of uncertainty.´´ - Dr. Chang-Gyu Hwang , Chairman and CEO, KT Corporation (Korea Telecom)
Master´s Thesis from the year 2019 in the subject Business economics - Miscellaneous, grade: 1,3, University of applied sciences, Munich, course: MBA Entrepreneurship, language: English, abstract: The following master thesis paper explores the possibility of resolving a major issue of the travel industry around how (non-refundable) reservations on lodging properties could be exchanged in a B2B market place by using blockchain technology as the exchange layer. To provide the reader with background knowledge first an introduction into definitions around B2B market spaces, the travel industry and blockchain are being made. Here the commercial structure of volume-related cost metrics of such B2B marketplaces are explained. This is then followed by quick introduction into the travel industry, its different distribution segments online (like OTAs) and offline (Retail) and the related suppliers and technology around them. For a deeper understanding on the financial background operations the two different main billing models are explained: Merchant versus Agency. Whereas the Agency model primarily is based on the traveler settling the bill himself upon check-out, the Merchant model works on collecting money upfront from the traveler (with the effect of usually Merchant rates being cheaper than Agency rates). This further gets segmented into who takes the payment (supplier or B2B partner) and how the financial setup works in terms of payment guarantees, billing cycles and dispute handling. Blockchain technology is explained in the next chapter, from its first known functionality as a pure cryptocurrency (Bitcoin) to the next step of technological evolution where the payments of those crypto currencies are then tied to a set of business rules called ?smart contracts?, rooted in the Ethereum blockchain technology framework. The first step of then building the theoretical model was an analysis of data to find out the addressable market size, which is roughly in an USD billion-dollar annual turnover range. This then was followed by setting up an according market place framework, supported by a set of technology requirements on blockchain operations in order to create a stable and clearly structured business environment. Described steps here are the initial setup, the distribution of the ?FO$? crypto coin, overall market place functionality where underwriters would guarantee stability of both used crypto and fiat currencies. Based on this theoretical model a SWOT-analysis was then conducted, considering the various internal and external success and failure factors for this framework.