Applications of Numerical Methods in Molecular Spectroscopy
eBook - ePub

Applications of Numerical Methods in Molecular Spectroscopy

  1. 368 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applications of Numerical Methods in Molecular Spectroscopy

About this book

Applications of Numerical Methods in Molecular Spectroscopy provides a mathematical background, theoretical perspective, and review of spectral data processing methods. The book discusses methods of complex spectral profile separation into bands, factor analysis methods, methods of quantitative analysis in molecular spectroscopy and reflectance spectroscopy, and new data processing methods. Mathematical methods in special areas of molecular spectroscopy, such as color science, electron spin resonance, and nuclear magnetic resonance spectroscopies are also covered. The book will benefit researchers and postgraduate students in fields of chemistry, physics, and biology.

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Information

Publisher
CRC Press
Year
2020
Print ISBN
9780849373220
eBook ISBN
9781000142075
Topic
Physical Sciences
Subtopic
Data Processing

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Series Editor’s Preface
  6. Preface
  7. The Authors
  8. Table of Contents
  9. Chapter 1 Acquisition and Processing of Spectral Data
  10. Chapter 2 Resolution of Spectra
  11. Chapter 4 Quantitative Analysis in Molecular Spectroscopy
  12. Chapter 5 Reflectance Spectroscopy
  13. Chapter 6 Methods of Numerical Analysis of Electron Spin Resonance Spectra
  14. Chapter 7 Numerical Methods in NMR Spectroscopy
  15. Appendix A Foundations of Matrix Calculations
  16. Appendix B Systems of Linear Equations
  17. Appendix C Regression Analysis
  18. Appendix D The Fourier Transformation
  19. References to Appendices
  20. Index

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Yes, you can access Applications of Numerical Methods in Molecular Spectroscopy by Peter Pelikan,Michal Ceppan,Marek Liska in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Data Processing. We have over 1.5 million books available in our catalogue for you to explore.