# Inverse problem theory : methods for data fitting and model parameter estimation

@inproceedings{Tarantola1987InversePT, title={Inverse problem theory : methods for data fitting and model parameter estimation}, author={Albert Tarantola}, year={1987} }

Part 1. Discrete Inverse Problems. 1. The General Discrete Inverse Problem. 2. The Trial and Error Method. 3. Monte Carlo Methods. 4. The Least-Squares (l 2 -norm) Criterion. 5. The Least-Absolute Values (l 1 -norm) Criterion and the Minimax (l # -norm) Criterion. Part 2. General Inverse Problems. 6. The General Problem. 7. The Least-Squares Criterion in Functional Spaces. References and References for General Reading. Index.

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