It takes the average reader 5 hours and 10 minutes to read Multi-agent Optimization by Angelia Nedić
Assuming a reading speed of 250 words per minute. Learn more
This book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends. This book concentrates on Distributed Optimization over Networks; Differential Variational Inequalities; and Advanced Decomposition Algorithms for Multi-agent Systems. This book will appeal to both mathematicians and mathematically oriented engineers and will be the source of inspiration for PhD students and researchers.
Multi-agent Optimization by Angelia Nedić is 310 pages long, and a total of 77,500 words.
This makes it 105% the length of the average book. It also has 95% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 3 minutes to read Multi-agent Optimization aloud.
Multi-agent Optimization is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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