Contents
- Preface
- Symbols and Notation
- Differential Equations
- Special Functions
- Matrix Methods and Linear Vector Spaces
- Vector Analysis
- Tensor Analysis
- Complex Variables
- Complex Integration, Laurent Series, and Residues
- Fourier Series, Eigenvalue Problems, and Green s Function
- Fourier and Related Transforms
- Laplace, Hankel, and Mellin Transforms
- Calculus of Variations
- Partial Differential Equations
- Probability and Random Variables
- Random Processes
- Applications
- References
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