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Course Descriptions

16:642:612 - Selected Topics in Applied Mathematics

Fioralba Cakoni


Mathematical Foundation of Inverse Problems

Course description:

This course is designed as a self-contained and up-to-date discussion of the mathematical methods in inverse problems and imaging which is a growing area of applied mathematics due to many applications in science and engineering. Such problems are typically non-linear and ill-posed. Topics to be covered include regularization theory for ill-posed problems, inverse spectral problems, impedance tomography, inverse scattering and other examples of imaging.




No formal prerequisites, but the course assumes a solid foundation in real analysis ( preferably 640:501-502) and a basic knowledge of partial differential equations. Introductory functional analysis is valuable but not requires.

Schedule of Sections:

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Department of Mathematics

Department of Mathematics
Rutgers University
Hill Center - Busch Campus
110 Frelinghuysen Road
Piscataway, NJ 08854-8019, USA

Phone: +1.848.445.2390
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