Methods of Numerical Approximation
eBook - PDF

Methods of Numerical Approximation

Lectures Delivered at a Summer School Held at Oxford University, September 1965

  1. 229 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Methods of Numerical Approximation

Lectures Delivered at a Summer School Held at Oxford University, September 1965

About this book

Methods of Numerical Approximation is based on lectures delivered at the Summer School held in September 1965, at Oxford University. The book deals with the approximation of functions with one or more variables, through means of more elementary functions. It explains systems to approximate functions, such as trigonometric sums, rational functions, continued fractions, and spline functions. The book also discusses linear approximation including topics such as convergence of polynomial interpolation and the least-squares approximation. The text analyzes Bernstein polynomials, Weierstrass' theorem, and Lagrangian interpolation. The book also gives attention to the Chebyshev least-squares approximation, the Chebyshev series, and the determination of Chebyshev series, under general methods. These general methods are useful when the student wants to investigate practical methods for finding forms of approximations under various situations. One of the lectures concerns the general theory of linear approximation and the existence of a best approximation approach using different theorems. The book also discusses the theory and calculation of the best rational approximations as well as the optimal approximation of linear functionals. The text will prove helpful for students in advanced mathematics and calculus. It can be appreciated by statisticians and those working with numbers theory.

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Information

Publisher
Pergamon
Year
2014
Print ISBN
9780080119960
eBook ISBN
9781483149028

Table of contents

  1. Front Cover
  2. Methods of Numerical Approximation
  3. Copyright Page
  4. Table of Contents
  5. EDITOR'S PREFACE
  6. PART I: GENERAL
  7. CHAPTER 1. INTRODUCTION
  8. CHAPTER 2. SOME ABSTRACT CONCEPTS ANDDEFINITIONS
  9. PART II: LINEAR APPROXIMATION
  10. CHAPTER 3. CONVERGENCE OF POLYNOMIAL INTERPOLATION
  11. CHAPTER 4. LEAST-SQUARES APPROXIMATION. ORTHOGONAL POLYNOMIALS
  12. CHAPTER 5. CHEBYSHEV LEAST-SQUARES APPROXIMATION
  13. 1. THE FOURIER SERIES. CONVERGENCE IN THE MEAN
  14. 2. THE FOURIER SERIES. POINT-WISE CONVERGENCE
  15. 3. THE CHEBYSHEV SERIES
  16. 4. THE CHEBYSHEV POLYNOMIALS. TWO DISCRETE LEAST-SQUARES SOLUTIONS
  17. 5. RELATIVE CONVERGENCE OF CHEBYSHEV AND OTHER SERIES
  18. CHAPTER 6. DETERMINATION AND PROPERTIES OF CHEBYSHEV EXPANSIONS
  19. CHAPTER 7. THE GENERAL THEORY OF LINEAR APPROXIMATION
  20. CHAPTER 8. THE EXCHANGE ALGORITHM FOR CALCULATING MINIMAX LINEAR APPROXIMATIONS OVER A DISCRETE POINT SET
  21. CHAPTER 9. CALCULATION OF THE BEST LINEAR APPROXIMATION ON A CONTINUUM
  22. CHAPTER 10. THE RATE OF CONVERGENCE OF BEST APPROXIMATIONS
  23. PART III: RATIONAL APPROXIMATION
  24. CHAPTER 11. CONTINUED FRACTIONS
  25. CHAPTER 12. INTERPOLATION BY RATIONAL FUNCTIONS
  26. CHAPTER 13. ECONOMIZATION OF CONTINUED FRACTIONS
  27. CHAPTER 14. THE PADÉ TABLE
  28. CHAPTER 15. APPLICATIONS OF THE QD AND ε ALGORITHMS
  29. CHAPTER 16. THEORY AND CALCULATION OF BEST RATIONAL APPROXIMATIONS
  30. CHAPTER 17. CONVERGENCE OF RATIONAL APPROXIMATIONS
  31. PART IV: MISCELLANEOUS
  32. CHAPTER 18. THEORY OF GENERAL NON-LINEAR MINIMAX APPROXIMATIONS
  33. CHAPTER 19. SPLINE FUNCTIONS
  34. CHAPTER 20. OPTIMAL APPROXIMATION OF LINEAR FUNCTIONALS
  35. CHAPTER 21. OPTIMAL APPROXIMATION BY MEANS OF SPLINE FUNCTIONS
  36. CHAPTER 22. AN INTRODUCTION TO ε-ENTROPY
  37. CHAPTER 23. FUNCTIONS OF MANY VARIABLES
  38. CHAPTER 24. PRACTICAL CONSIDERATIONS
  39. REFERENCES
  40. FURTHER REFERENCES
  41. INDEX

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