Parameter Estimation and Inverse Problems
by Richard C. Aster, Brian Borchers, Clifford H. Thurber
This textbook introduces methods for estimating parameters and solving inverse problems, covering linear and nonlinear techniques, regularization, and uncertainty analysis for scientific and engineering applications.
About This Book
Parameter Estimation and Inverse Problems presents fundamental concepts and practical approaches for estimating model parameters from observed data.
The text covers linear and nonlinear inverse methods, regularization techniques, and statistical approaches to uncertainty quantification.
Readers will find clear explanations of mathematical foundations alongside computational examples and real-world applications.
The book is designed for students and professionals working in geophysics, engineering, and applied mathematics.
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