The Christoffel–Darboux Kernel for Data Analysis
eBook - PDF

The Christoffel–Darboux Kernel for Data Analysis

  1. 186 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

The Christoffel–Darboux Kernel for Data Analysis

About this book

The Christoffel–Darboux kernel, a central object in approximation theory, is shown to have many potential uses in modern data analysis, including applications in machine learning. This is the first book to offer a rapid introduction to the subject, illustrating the surprising effectiveness of a simple tool. Bridging the gap between classical mathematics and current evolving research, the authors present the topic in detail and follow a heuristic, example-based approach, assuming only a basic background in functional analysis, probability and some elementary notions of algebraic geometry. They cover new results in both pure and applied mathematics and introduce techniques that have a wide range of potential impacts on modern quantitative and qualitative science. Comprehensive notes provide historical background, discuss advanced concepts and give detailed bibliographical references. Researchers and graduate students in mathematics, statistics, engineering or economics will find new perspectives on traditional themes, along with challenging open problems.

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Table of contents

  1. Cover
  2. Half-title
  3. Frontispiece
  4. Series information
  5. Title page
  6. Copyright information
  7. Contents
  8. Foreword by Francis Bach
  9. Symbols
  10. Preface
  11. 1 Introduction
  12. Part One Historical and Theoretical Background
  13. Part Two Statistics and Applications to Data Analysis
  14. Part Three Complementary Topics
  15. References
  16. Index

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Yes, you can access The Christoffel–Darboux Kernel for Data Analysis by Jean Bernard Lasserre,Edouard Pauwels,Mihai Putinar in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.