Parameter Estimation and Inverse Problems
by Richard C. Aster, Brian Borchers, Clifford H. Thurber
This book provides essential methods and theory for estimating parameters and solving inverse problems, with practical examples and exercises for students and researchers in the sciences.
About This Book
Parameter Estimation and Inverse Problems presents core mathematical and computational methods for estimating model parameters from observed data.
The text covers linear and nonlinear inverse techniques with emphasis on practical implementation and error analysis.
Readers are introduced to regularization, optimization algorithms, and statistical approaches used across scientific disciplines.
Worked examples and exercises help reinforce understanding of theoretical concepts and numerical procedures.
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