Presents a unified mathematical view of precomputation-based rendering, while discussing its motivation, history and current and future research directions.
Ramayana - A Modern Retelling offers an intriguing look at Hindu mythology, tracing the extraordinary lives and aspirations of those who lived in ancient India. This story is not history or biography, but about what could have been. One of the oldest living religions in the world, Hinduism is unique in that it has many sects but no single leader. Its beliefs have evolved over 4,000 years, and it numbers over 1 billion followers. It is difficult to understand Hindu Dharma unless one tries to understand the characters of Raama, Lakshmana, Seetha, Bharata, and Hanuman. This book does just that. Ruling over the kingdom of Khosala from the city of Ayodhya, King Dasaratha is beloved and respected by all. Although he has three wives, he is childless. To rectify the matter, a powerful prayer is performed. Within a year, four sons are delivered by his three wives, including a set of twins. Named Raama, Bharata, Lakshmana and Shatrugna, they train to become royal princes. As the brothers mature, they are molded by training and royal values. This greatest of epic stories follows them as they marry and fight for their honour. The story blazes across India until a new king is crowned. Squadron Leader S. Ravi [IAF] Retd, was born and raised in Chennai, a city in southern India. After graduating in mechanical engineering from Regional Engineering College, Rourkela, Ravi joined the Indian Air Force as a commissioned officer. Having travelled the world as an officer, Ravi is now a business consultant for a company called Force 1 and is living in Chennai with his wife.
Though staunch believers in the divinity of Rama and the Ramayana might find this book blasphemous, it is an insightful record of thoughts about the Ramayana as a framework for the present day Hindu family system. Rather than being a blind critic of the epic, this book is a celebration of irreverence and rationality, while attacking faith and reverence. The scope of this book is such that it provides the author with a stage to perform the dance of life while he jumps from conclusion to conclusion. It is essential to read this book in it's entirely to get the intent of this book, and for a reader who grasps the conclusions the book is breathtakingly paced.
Interconnection and Survivability : DIMACS Workshop, Robust Communication Networks: Interconnection and Survivability, November 18-20, 1998, DIMACS Center
Interconnection and Survivability : DIMACS Workshop, Robust Communication Networks: Interconnection and Survivability, November 18-20, 1998, DIMACS Center
This volume contains the proceedings of a DIMACS Workshop on Robust Communication Networks held as part of the Special Year on Networks. Theoreticians and practitioners presented papers on the roles of architectural interconnection and survivability in the design, construction, operation, and application of robust communication networks. Due to the advent of VSLI and fiber optics technologies, it has become possible and feasible to design and construct large scale, high performance, high speed wireline and wireless communication networks that are also robust. This opens many challenging issues and problems for both the theory community and practitioners. Of particular interest is how these technological advances lead the way to new and challenging mathematical frontiers and set the direction for future research on and implementation of robust communication networks. The nine papers chosen for this volume represent the state of the art from a variety of perspectives.
Presents a unified mathematical view of precomputation-based rendering, while discussing its motivation, history and current and future research directions.
With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization such as the primal-dual method have proven their staying power and versatility. This book describes a simple and powerful method that is iterative in essence and similarly useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical polyhedral results on matchings, trees, matroids and flows. The presentation style is elementary enough to be accessible to anyone with exposure to basic linear algebra and graph theory, making the book suitable for introductory courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate their potential for future application in research in approximation algorithms.
State-of-the-art analytic and quantitative methods for using big data to craft effective real-time, dynamic customer-centric marketing plans. The revolution in big data has enabled a game-changing approach to marketing. The asynchronous and continuous collection of customer data carries rich signals about consumer preferences and consumption patterns. Use of this data can make marketing adaptive, dynamic, and responsive to changes in individual customer behavior. This book introduces state-of-the-art analytic and quantitative methods for customer-centric marketing (CCM). Rather than using a snapshot from the data to plot a single campaign-centric marketing plan, these methods draw on cutting-edge research in optimization and interactive marketing with the goal of maximizing long-term profit from data collected over time. The aim is to teach readers to apply optimization tools to derive analytical solutions leading to customized, dynamic, proactive, and real-time marketing decisions. The book develops the CCM framework and illustrates it with four cases that span the life cycle of marketing: pricing, win-back, cross-sales, and customer service allocation. The text walks the reader through real-world examples of applying the framework (supported by spreadsheet models available online), then explains the key concepts: modeling consumer choice; segmenting customers into latent classes based on sensitivity; computing customer lifetime value (CLV); and dynamic optimization. The reader then learns to incorporate the continuous learning of customer preference into an adaptive feedback loop for marketing decisions. The book can be used as a text for MBA students or as a professional reference. This book is based on joint research developed at Carnegie Mellon University when both authors were on the faculty at the Tepper School of Business.
This volume covers the topic in functional equations in a broad sense and is written by authors who are in this field for the past 50 years. It contains the basic notions of functional equations, the methods of solving functional equations, the growth of functional equations in the last four decades and an extensive reference list on fundamental research papers that investigate the stability results of different types of functional equations and functional inequalities. This volume starts by taking the reader from the fundamental ideas to higher levels of results that appear in recent research papers. Its step-by-step expositions are easy for the reader to understand and admire the elegant results and findings on the stability of functional equations.
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