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This book provides a comprehensive introduction about recent state-of-the-art advancements in Open GIS, including... Read More >>
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It is a longstanding unsolved problem to characterize the optimal feedbacks for general SLQs with random coefficients... Read More >>
We develop a theory of average sizes of kernels of generic matrices with support constraints defined in terms of... Read More >>
The objective of the present study is to develop an approach for a large class of deterministic scatterer configurations,... Read More >>
As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance... Read More >>
This book covers the key principles, best practices, and practical techniques for designing and implementing visually... Read More >>
This collection of four short courses looks at group representations, graph spectra, statistical optimality, and... Read More >>
Programming exercises in Python are also included to show how math behaves in action.Mathematical Thinking is an... Read More >>
Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical... Read More >>
Kolmogorov equations are a fundamental bridge between the theory of partial differential equations and that of stochastic... Read More >>
It discusses emerging topics pertaining to advanced computing, intelligent technologies and networks including AI... Read More >>
This textbook provides a straightforward, clear explanation of probability and random variables for communications... Read More >>
This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond... Read More >>
This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the... Read More >>
This book provides an introductory overview of random variables and their transformations. The authors have updated... Read More >>
This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers,... Read More >>
The primary objective of this book is to present a comprehensive treatment of uncertainty quantification in variational... Read More >>
This book intends to serve a very broad audience of college students across a variety of disciplines. It exposes... Read More >>
The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details... Read More >>
The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling,... Read More >>
This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales... Read More >>