Cross section inference based on PDE-constrained optimization Conference Paper uri icon

abstract

  • The problem of inferring the material properties (cross section) in noninvasive inverse problems is formulated as a PDE-constrained optimization problem, where the governing laws of the chosen physics act as a constraint. A standard Lagrangian functional, containing the objective function to be minimized and the constraints to satisfy, is formed. The resolution of the optimality conditions lead to a nonlinear problem that is tackled with a Gauss-Newton procedure. Results of cross section inference are presented in the case of 1-group 2D neutron diffusion theory.

author list (cited authors)

  • Sternat, M., & Ragusa, J. C.

publication date

  • December 2009