Multivariate Polysplines
34%
off

Multivariate Polysplines : Applications to Numerical and Wavelet Analysis

By (author) 

Free delivery worldwide

Available. Dispatched from the UK in 1 business day
When will my order arrive?

Description

Multivariate polysplines are a new mathematical technique that has arisen from a synthesis of approximation theory and the theory of partial differential equations. It is an invaluable means to interpolate practical data with smooth functions.

Multivariate polysplines have applications in the design of surfaces and "smoothing" that are essential in computer aided geometric design (CAGD and CAD/CAM systems), geophysics, magnetism, geodesy, geography, wavelet analysis and signal and image processing. In many cases involving practical data in these areas, polysplines are proving more effective than well-established methods, such as kKriging, radial basis functions, thin plate splines and minimum curvature.
show more

Product details

  • Hardback | 498 pages
  • 174.2 x 253.5 x 28.2mm | 1,259.04g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0124224903
  • 9780124224902

Table of contents

Preface

1 Introduction

1.1 Organization of Material

1.1.1 Part I: Introduction of Polysplines

1.1.2 Part II: Cardinal Polysplines

1.1.3 Part III: Wavelet Analysis Using Polysplines

1.1.4 Part IV: Polysplines on General Interfaces

1.2 Audience

1.3 Statements

1.4 Acknowledgements

1.5 The Polyharmonic Paradigm

1.5.1 The Operator, Object and Data Concepts of the Polyharmonic Paradigm

1.5.2 The Taylor Formula

Part I Introduction to Polysplines

2 One-Dimensional Linear and Cubic Splines

2.1 Cubic Splines

2.2 Linear Splines

2.3 Variational (Holladay) Property of the Odd-Degree Splines

2.4 Existence and Uniqueness of Odd-Degree Splines

2.5 The Holladay Theorem

3 The Two-Dimensional Case: Data and Smoothness Concepts

3.1 The Data Concept in Two Dimensions According to the Polyharmonic Paradigm

3.2 The Smoothness Concept According to the Polyharmonic Paradigm

4 The Objects Concept: Harmonic and Polyharmonic Functions in Rectangular Domains in 2

4.1 Harmonic Functions in Strips or Rectangles

4.2 "Parametrization" of the Space of Periodic Harmonic Functions in the Strip: the Dirichlet Problem

4.3 "Parametrization" of the Space of Periodic Polyharmonic Functions in the Strip: the Dirichlet Problem

4.4 Nonperiodicity in y

5 Polysplines on Strips in 2

5.1 Periodic Harmonic Polysplines on Strips, p =

5.2 Periodic Biharmonic Polysplines on Strips, p =

5.3 Computing the Biharmonic Polysplines on Strips

5.4 Uniqueness of the Interpolation Polysplines

6 Application of Polysplines to Magnetism and CAGD

6.1 Smoothing Airborne Magnetic Field Data

6.2 Applications to Computer-Aided Geometric Design

6.3 Conclusions

7 The Objects Concept: Harmonic and Polyharmonic Functions in Annuli in 2

7.1 Harmonic Functions in Spherical (Circular) Domains

7.2 Biharmonic and Polyharmonic Functions

7.3 "Parametrization" of the Space of Polyharmonic Functions in the Annulus and Ball: the Dirichlet Problem

8 Polysplines on annuli in 2

8.1 The Biharmonic Polysplines, p = 2

8.2 Radially Symmetric Interpolation Polysplines

8.3 Computing the Polysplines for General (Nonconstant) Data

8.4 The Uniqueness of Interpolation Polysplines on Annuli

8.5 The change v = log r and the Operators Mk,p

8.6 The Fundamental Set of Solutions for the Operator Mk,p(d/dv)

9 Polysplines on Strips and Annuli in n

9.1 Polysplines on Strips in n

9.2 Polysplines on Annuli in n

10 Compendium on Spherical Harmonics and Polyharmonic Functions

10.1 Introduction

10.2 Notations

10.3 Spherical Coordinates and the Laplace Operator

10.4 Fourier Series and Basic Properties

10.5 Finding the Point of View

10.6 Homogeneous Polynomials in n

10.7 Gauss Pepresentation of Homogeneous Polynomials

10.8 Gauss Representation: Analog to the Taylor Series, the Polyharmonic Paradigm

10.9 The Sets k are Eigenspaces for the Operator

10.10 Completeness of the Spherical Harmonics in L2(??n-1)

10.11 Solutions of w(x) = 0 with Separated Variables

10.12 Zonal Harmonics : the Functional Approach

10.13 The Classical Approach to Zonal Harmonics

10.14 The Representation of Polyharmonic Functions Using Spherical Harmonics

10.15 The Operator is Formally Self-Adjoint

10.16 The Almansi Theorem

10.17 Bibliographical Notes

11 Appendix on Chebyshev Splines

11.1 Differential Operators and Extended Complete Chebyshev Systems

11.2 Divided Differences for Extended Complete Chebyshev Systems

11.3 Dual Operator and ECT-System

11.4 Chebyshev Splines and One-Sided Basis

11.5 Natural Chebyshev Splines

12 Appendix on Fourier Series and Fourier Transform

12.1 Bibliographical Notes

Bibliography to Part I

Part II Cardinal Polysplines in n

13 Cardinal L-Splines According to Micchelli

13.1 Cardinal L-Splines and the Interpolation Problem

13.2 Differential Operators and their Solution Sets UZ+1

13.3 Variation of the Set UZ+1[ ] with and Other Properties

13.4 The Green Function (x) of the Operator Z+1

13.5 The Dictionary: L-Polynomial Case

13.6 The Generalized Euler Polynomials AZ(x; )

13.7 Generalized Divided Difference Operator

13.8 Zeros of the Euler-Frobenius Polynomial Z( )

13.9 The Cardinal Interpolation Problem for L-Splines

13.10 The Cardinal Compactly Supported L-Splines QZ+1

13.11 Laplace and Fourier Transform of the Cardinal TB-Spline QZ+1

13.12 Convolution Formula for Cardinal TB-Splines

13.13 Differentiation of Cardinal TB-Splines

13.14 Hermite-Gennocchi-Type Formula

13.15 Recurrence Relation for the TB-Spline

13.16 The Adjoint Operator *Z+1 and the TB-Spline Q*Z+1(x)

13.17 The Euler Polynomial AZ(x; ) and the TB-Spline QZ+1(x)

13.18 The Leading Coefficient of the Euler-Frobenius Polynomial Z( )

13.19 Schoenberg's "Exponential" Euler L-Spline Z(x; ) and AZ(x; )

13.20 Marsden's Identity for Cardinal L-Splines

13.21 Peano Kernel and the Divided Difference Operator in the Cardinal Case

13.22 Two-Scale Relation (Refinement Equation) for the TB-Splines QZ+1[ ; h]

13.23 Symmetry of the Zeros of the Euler-Frobenius Polynomial Z( )

13.24 Estimates of the Functions AZ(x; ) and QZ+1(x)

14 Riesz Bounds for the Cardinal L-Splines QZ+1

14.1 Summary of Necessary Results for Cardinal L-Splines

14.2 Riesz Bounds

14.3 The Asymptotic of AZ(0; ) in k

14.4 Asymptotic of the Riesz Bounds A, B

14.5 Synthesis of Compactly Supported Polysplines on Annuli

15 Cardinal interpolation Polysplines on annuli 287

15.1 Introduction

15.2 Formulation of the Cardinal Interpolation Problem for Polysplines

15.3 = 0 is good for all L-Splines with L = Mk,p

15.4 Explaining the Problem

15.5 Schoenberg's Results on the Fundamental Spline L(X) in the Polynomial Case

15.6 Asymptotic of the Zeros of Z( ; 0)

15.7 The Fundamental Spline Function L(X) for the Spherical Operators Mk,p

15.8 Synthesis of the Interpolation Cardinal Polyspline

15.9 Bibliographical Notes

Bibliography to Part II

Part III Wavelet Analysis

16 Chui's Cardinal Spline Wavelet Analysis

16.1 Cardinal Splines and the Sets Vj

16.2 The Wavelet Spaces Wj

16.3 The Mother Wavelet

16.4 The Dual Mother Wavelet

16.5 The Dual Scaling Function

16.6 Decomposition Relations

16.7 Decomposition and Reconstruction Algorithms

16.8 Zero Moments

16.9 Symmetry and Asymmetry

17 Cardinal L-Spline Wavelet Analysis

17.1 Introduction: the Spaces Vj and Wj

17.2 Multiresolution Analysis Using L-Splines

17.3 The Two-Scale Relation for the TB-Splines QZ+1(x)

17.4 Construction of the Mother Wavelet h

17.5 Some Algebra of Laurent Polynomials and the Mother Wavelet h

17.6 Some Algebraic Identities

17.7 The Function h Generates a Riesz Basis of W0

17.8 Riesz Basis from all Wavelet Functions (x)

17.9 The Decomposition Relations for the Scaling Function QZ+1

17.10 The Dual Scaling Function and the Dual Wavelet

17.11 Decomposition and Reconstruction by L-Spline Wavelets and MRA

17.12 Discussion of the Standard Scheme of MRA

18 Polyharmonic Wavelet Analysis: Scaling and Rotationally Invariant Spaces

18.1 The Refinement Equation for the Normed TB-Spline QZ+1

18.2 Finding the Way: some Heuristics

18.3 The Sets PVj and Isomorphisms

18.4 Spherical Riesz Basis and Father Wavelet

18.5 Polyharmonic MRA

18.6 Decomposition and Reconstruction for Polyharmonic Wavelets and the Mother Wavelet

18.7 Zero Moments of Polyharmonic Wavelets

18.8 Bibliographical Notes

Bibliography to Part III

Part IV Polysplines for General Interfaces

19 Heuristic Arguments

19.1 Introduction

19.2 The Setting of the Variational Problem

19.3 Polysplines of Arbitrary Order p

19.4 Counting the Parameters

19.5 Main Results and Techniques

19.6 Open Problems

20 Definition of Polysplines and Uniqueness for General Interfaces

20.1 Introduction

20.2 Definition of Polysplines

20.3 Basic Identity for Polysplines of even Order p = 2q

20.4 Uniqueness of Interpolation Polysplines and Extremal Holladay-Type Property

21 A Priori Estimates and Fredholm Operators

21.1 Basic Proposition for Interface on the Real Line

21.2 A Priori Estimates in a Bounded Domain with Interfaces

21.3 Fredholm Operator in the Space H2p+r(D\ST ) for r 0

22 Existence and Convergence of Polysplines

22.1 Polysplines of Order 2q for Operator L = L

22.2 The Case of a General Operator L

22.3 Existence of Polysplines on Strips with Compact Data

22.4 Classical Smoothness of the Interpolation Data gj

22.5 Sobolev Embedding in Ck,

22.6 Existence for an Interface which is not C

22.7 Convergence Properties of the Polysplines

22.8 Bibliographical Notes and Remarks

23 Appendix on Elliptic Boundary Value Problems in Sobolev and Hoelder Spaces

23.1 Sobolev and Hoelder Spaces

23.2 Regular Elliptic Boundary Value Problems

23.3 Boundary Operators, Adjoint Problem and Green Formula

23.4 Elliptic Boundary Value Problems

23.5 Bibliographical Notes

24 Afterword

Bibliography to Part IV

Index
show more

About Ognyan Kounchev

Ognyan Kounchev received his M.S. in partial differential equations from Sofia University, Bulgaria and his Ph.D. in optimal control of partial differential equations and numerical methods from the University of Belarus, Minsk. He was awarded a grant from the Volkswagen Foundation (1996-1999) for studying the applications of partial differential equations in approximation and spline theory. Currently, Dr Kounchev is a Fulbright Scholar at the University of Wisconsin-Madison where he works in the Wavelet Ideal Data Representation Center in the Department of Computer Sciences.
show more