Hansen's Latest (2008) Revised Edition on Inverse Problem Regularization Methods
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Resource Overview
Detailed Documentation
The 2008 revised edition by Hansen provides comprehensive coverage of regularization methods for inverse problems. This ebook includes detailed MATLAB implementations with practical code examples demonstrating algorithm execution, regularization parameter selection techniques, and matrix computation approaches. The methods are applicable across multiple domains including geological exploration, medical imaging, and signal processing. Additionally, the book introduces complementary inversion methodologies and related computational techniques, such as Tikhonov regularization implementation and L-curve analysis, to help readers better understand practical applications. The provided MATLAB codes feature functions for numerical optimization, matrix factorization, and error estimation algorithms that facilitate hands-on learning.
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