From the algebraic properties of a complete number field, to the analytic properties imposed by the Cauchy integral formula, to the geometric qualities originating from conformality, Complex Variables: A Physical Approach with Applications and MATLAB explores all facets of this subject, with particular emphasis on using theory in practice. The first five chapters encompass the core material of the book. These chapters cover fundamental concepts, holomorphic and harmonic functions, Cauchy theory and its applications, and isolated singularities. Subsequent chapters discuss the argument principle, geometric theory, and conformal mapping, followed by a more advanced discussion of harmonic functions. The author also presents a detailed glimpse of how complex variables are used in the real world, with chapters on Fourier and Laplace transforms as well as partial differential equations and boundary value problems. The final chapter explores computer tools, including Mathematica®, Maple™, and MATLAB®, that can be employed to study complex variables. Each chapter contains physical applications drawing from the areas of physics and engineering. Offering new directions for further learning, this text provides modern students with a powerful toolkit for future work in the mathematical sciences.
Author(s): Steven G. Krantz
Series: Textbooks in Mathematics
Edition: 1
Publisher: Chapman and Hall/CRC
Year: 2007
Language: English
Pages: 360
Front cover......Page 1
Contents......Page 6
Introduction......Page 14
CHAPTER 1. ArcObjects......Page 18
CHAPTER 2. Programming Basics......Page 32
CHAPTER 3. Customization of the User Interface......Page 52
CHAPTER 4. Dataset and Layer Management......Page 68
CHAPTER 5. Attribute Data Management......Page 84
CHAPTER 6. Data Conversion......Page 108
CHAPTER 7. Coordinate Systems......Page 134
CHAPTER 8. Data Display......Page 160
CHAPTER 9. Data Exploration......Page 192
CHAPTER 10. Vector Data Operations......Page 218
CHAPTER 11. Raster Data Operations......Page 238
CHAPTER 12. Terrain Mapping and Analysis......Page 266
CHAPTER 13. Spatial Interpolation......Page 292
CHAPTER 14. Binary and Index Models......Page 304
Index......Page 328
Back cover......Page 360