Abstract
The importance of a priori assumptions of a geometrical nature in ill-posed inverse problems is presented. It is illustrated by examples, dealing either with basic questions as uniqueness and stability, or with the way of constructing algorithms that stick at the physics of the problem. At least one of these examples, which may be called 'patchwork analysis', seems new.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre C. Sabatier "Geometry and ill-posed inverse problems", Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); https://doi.org/10.1117/12.224150
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KEYWORDS
Inverse problems

Scattering

Physics

Phase shifts

Detection and tracking algorithms

Electromagnetism

Oxygen

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