£57.29

Cambridge University Press Cambridge Theory of Reproducing Kernel Hilbert Spaces Book

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Description

Explore the fundamental principles of Reproducing Kernel Hilbert Spaces with this comprehensive text from Cambridge University Press. As these spaces become essential tools in modern statistics and machine learning, this book provides a unified overview for researchers and students alike. This academic resource covers a wide range of mathematical applications, including complex analysis, probability, group representation theory, and the theory of integral operators. The text is designed to be self-contained and accessible, making it an ideal reference for those studying advanced mathematics. Readers will find detailed examples of practical applications alongside deep theoretical foundations. The content includes specific chapters on interpolation and approximation, Cholesky and Schur operations on kernels, and vector-valued spaces. With included exercises at the end of sections, this book serves as both a theoretical guide and a practical study tool for mastering complex mathematical concepts.

Key Features

Comprehensive mathematical overview covering fundamental theory and practical applications in statistics and machine learning.

Detailed exploration of complex analysis, probability, group representation theory, and integral operators.

Specialized chapters focusing on interpolation, approximation, and vector-valued spaces.

In-depth technical coverage of Cholesky and Schur operations on kernels.

Self-contained and accessible writing style designed for clarity and ease of study.

Includes exercises to help reinforce learning and test understanding of the material.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 April 2016
Listed Since
09 September 2015

Barcode

No barcode data available

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