This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

At the forefront of cutting-edge technologies, this text provides a comprehensive treatment of a crucial network performance metric, ushering in new opportunities for rethinking the whole design of communication systems. Detailed exposition of the communication and network theoretic foundations of Age of Information (AoI) gives the reader a solid background, and discussion of the implications on signal processing and control theory shed light on the important potential of recent research. The text includes extensive real-world applications of this vital metric, including caching, the Internet of Things (IoT), and energy harvesting networks. The far-reaching applications of AoI include networked monitoring systems, cyber-physical systems such as the IoT, and information-oriented systems and data analytics applications ranging from the stock market to social networks. The future of this exciting subject in 5G communication systems and beyond make this a vital resource for graduate students, researchers and professionals.

This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

Lavish historical action film telling the story of a trio of warriors in the era of the Qing Dynasty - General Ma Xinyi (Jet Li), Cao Er-Hu (Andy Lau) and Zhang Wen-Xiang (Takeshi Kaneshiro) - who make a pact of brotherhood to one another vowing that anyone who harms one of the brothers will be killed. When the country is plunged into chaos and political upheaval following the Taiping Rebellion, the three blood brothers must struggle to maintain their loyalty as war rages around them.

"The study is part of a broader effort from IBM in the area of Risk Communication, and took place under the supervision of a team of researchers from the IBM Dublin and Watson research centres. Building on top of the most recent visualisation research, it proposes and evaluates a series of visualisation techniques applied to medicine side effects communication. The novelty and the formal correctness of the study are guaranteed by an extensive literature survey conducted by the authors. Special care has also been devoted to survey preparation, to ensure understandability and non-ambiguity of the questions, and to remove any possible bias. This work has been presented to a broader audience within IBM as part of the internship, receiving very positive feedback. The future plans are for IBM to extend and adapt the study to target specific conferences in the Healthcare and Risk Communication domains."