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This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented. Chapters in this book cover the following topics: Linear max min fairness Heuristic approaches for high-quality solutions Efficient approaches for complex multi-criteria optimization problems Comparison of heuristic algorithms New heuristic iterative local search Power in network structures Clustering nodes in random graphs Power transmission grid structure Network decomposition problems Homogeneity hypothes...

This book focuses on how companies are innovating with regard to the Bottom-of-the-Pyramid (BOP) the lowest socio-economic segment, and the organizational conditions they need to be successful. The authors use several examples of disruptive innovations for this market, particularly in the Indian healthcare sector. Low-cost, specialty hospital chains like Aravind Eye Care and Narayana Hrudayalaya have brought down the cost of certain medical procedures significantly. The Indian conglomerate Tata Group and the American healthcare giant GE Healthcare have also developed affordable products targeted at the lowest-income segments in India. The authors present an in-depth analysis of these companies and present their insightful results on disruptive innovation and the ever-challenging BOP market. Product details Format ...