Foundations of Data Science
Avrim Blum, John Hopcroft, Ravi Kannan

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks.

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Elements of Dynamical Systems
Anima Nagar, Riddhi Shah and Shrihari Sridharan

This book stems from lectures that were given at a three-week Advanced Instructional School on Ergodic Theory and Dynamical Systems..

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A Second Course in Analysis
M. Ram Murty

This book represents material suitable for a two semester graduate course in analysis. Based on courses given by the author since 2007, it is targeted towards graduate students preparing for a research career in mathematics.

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The Mathematics of India: Concepts, Methods, Connections
P. P. Divakaran

In the millennia-long story of the mathematical tradition of India, certain exceptionally fruitful periods stand out. This book identifies three of them:...

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Topology and Condensed Matter Physics
Topology and Condensed Matter Physics
Somendra M. Bhattacharjee, Mahan Mj.and Abhijit Bandyopadhyay (Editors)

This book introduces aspects of topology and their applications to problems in condensed matter physics. Basic topics in mathematics have been introduced...

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Open Quantum Systems: Dynamics of Nonclassical Evolution
Subhashish Banerjee

Current developments in quantum computing have made it essential to consider the role of the ambient environment in the functioning of a quantum system.

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