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2018-12-11
12:55
The deep learning revolution / Sejnowski, Terrence J
Cambridge, MA : The MIT Press, 2018. - 336 p.
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2018-12-11
12:42
Lectures on convex optimization . - 2nd ed. / Nesterov, Yurii
This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning [...]
Cham : Springer, 2018. (Springer optimization and its applications ; 137)

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2018-12-11
11:29
Mathematical programming and game theory / Neogy, SK (ed.) ; Bapat, Ravindra (ed.) ; Dubey, Dipti (ed.)
This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory [...]
Singapore : Springer, 2018.

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2018-12-11
11:29
Saddle-point problems and their iterative solution / Rozložník, Miroslav
This book provides essential lecture notes on solving large linear saddle-point systems, which arise in a wide range of applications and often pose computational challenges in science and engineering [...]
Cham : Springer, 2018.

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2018-12-11
11:28
Life in the universe : expectations and constraints . - 3rd ed. / Schulze-Makuch, Dirk
This class-tested textbook examines the basic elements of living systems: energy, chemistry, solvents, and habitats in crucial depth [...]
Cham : Springer, 2018.

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2018-12-11
11:28
Hilary Putnam on logic and mathematics / Hellman, Geoffrey (ed.) ; Cook, Roy (ed.)
This book explores the research of Professor Hilary Putnam, a Harvard professor as well as a leading philosopher, mathematician and computer scientist [...]
Cham : Springer, 2018. (Outstanding contributions to logic ; 9)

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2018-12-11
11:28
Observer's guide to variable stars / Griffiths, Martin
This book contains everything you need to know about variable stars -- stars whose brightness varies noticeably over time [...]
Cham : Springer, 2018.

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2018-12-11
11:28
Empirical likelihood and quantile methods for time series : efficiency, robustness, optimality, and prediction / Liu, Yan
This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the point of view of efficiency but also from that of robustness and optimality by minimizing prediction error [...]
Singapore : Springer, 2018.

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2018-12-11
11:28
New frontiers of biostatistics and bioinformatics / Zhao, Yichuan (ed.) ; Chen, Ding-Geng (ed.)
This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017 [...]
Cham : Springer, 2018.

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2018-12-11
11:28
Open problems in optimization and data analysis / Pardalos, Panos (ed.) ; Migdalas, Athanasios (ed.)
Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analysis are examined in this book [...]
Cham : Springer, 2018. (Springer optimization and its applications ; 141)

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