A unified framework for constructing globally convergent algorithms for multidimensional coefficient inverse problems

• Published in: Applicable analysis Vol. 83; no. 9; pp. 933 - 955
• Main Authors: Klibanov, Michael V., Timonov †, Alexandre
• Format: Journal Article
• Language: English
• Published: Taylor & Francis Group 01.09.2004
• Subjects: 2000 Mathematics Subject Classifications: 35R20; Coefficient inverse problems; Computational experiments; Convexification approach; Globally convergent algoirthms; Multiextremality; Optical frequency sounding

We present a unified framework for constructing the globally convergent algorithms for a broad class of multidimensional coefficient inverse problems arising in natural science and industry. Based on the convexification approach, the unified framework substantiates the numerical solution of the corr...