Concepts from Tensor Analysis and Differential Geometry by Tracy Y Thomas ( Volume 1 )

Publication series :Volume 1

Author: Thomas   Tracy Y.  

Publisher: Elsevier Science‎

Publication year: 2000

E-ISBN: 9780080957784

P-ISBN(Paperback): 9780123749154

P-ISBN(Hardback):  9780123749154

Subject: O186 Differential Geometry and Integral Geometry

Language: ENG

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Description

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;
methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

- Best operator approximation,
- Non-Lagrange interpolation,
- Generic Karhunen-Loeve transform
- Generalised low-rank matrix approximation
- Optimal data compression
- Optimal nonlinear filtering

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 8

Preface

pp.:  6 – 10

Contents

pp.:  8 – 6

Chapter 1. Coordinate Manifolds

pp.:  10 – 15

Chapter 2. Scalars

pp.:  15 – 16

Chapter 3. Vectors and Tensors

pp.:  16 – 22

Chapter 4. A Special Skew-symmetric Tensor

pp.:  22 – 25

Chapter 5. The Vector Product. Curl of a Vector

pp.:  25 – 26

Chapter 6. Riemann Spaces

pp.:  26 – 38

Chapter 7. Affinely Connected Spaces

pp.:  38 – 41

Chapter 8. Normal Coordinates

pp.:  41 – 48

Chapter 9. General Theory of Extension

pp.:  48 – 54

Chapter 10. Absolute Differentiation

pp.:  54 – 57

Chapter 11. Differential Invariants

pp.:  57 – 63

Chapter 12. Transformation Groups

pp.:  63 – 66

Chapter 13. Euclidean Metric Space

pp.:  66 – 74

Chapter 14. Homogeneous and Isotropic Tensors

pp.:  74 – 79

Chapter 15. Curves in Space. Frenet Formulae

pp.:  79 – 84

Chapter 16. Surfaces in Space

pp.:  84 – 90

Chapter 17. Mixed Surface and Space Tensors. Coordinate Extension and Absolute Differentiation

pp.:  90 – 96

Chapter 18. Formulae of Gauss and Weingarten

pp.:  96 – 99

Chapter 19. Gaussian and Mean Curvature of a Surface

pp.:  99 – 100

Chapter 20. Equations of Gauss and Codazzi

pp.:  100 – 102

Chapter 21. Principal Curvatures and Principal Directions

pp.:  102 – 108

Chapter 22. Asymptotic Lines

pp.:  108 – 110

Chapter 23. Orthogonal Ennuples and Normal Congruences

pp.:  110 – 117

Chapter 24. Families of Parallel Surfaces

pp.:  117 – 123

Chapter 25. Developable Surfaces. Minimal Surfaces

pp.:  123 – 126

Subject Index

pp.:  126 – 130

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