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The truncation regularization method is a powerful technique for solving this inverse problem.
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The conventional approach in solving an inverse problem is to run inversion several times using different starting values for the regularization parameter (Ramlau 2005; Reginska 1996), which is quite acceptable for the inverse problem under discussion as the approach developed here for solving this particular inverse problem is very fast; thus, the computation time is not really a concern.
It appears that the use of a very good initial guess was essential for the convergence of the Marquardt method formulated in Jagannadha Rao et al. (1993) and hence for solving this particular inverse problem.
The versatile generalized pulse-spectrum technique (GPST) inversion algorithm with the incorporation of multi-level grid method and hierarchical parallelism is developed for solving this type of inverse problems.
In this paper, we develop a method for solving the inverse lattice problem, where, given a broad class of potential, we find the ground states for all possible values of the effective cluster interaction energies.
In this paper, a novel method is presented for solving the inverse obstacle scattering problem of the two-dimensional Helmholtz equation, which is to reconstruct the obstacle surface by using the near-field data.
This paper proposes an online inverse-forward adaptive scheme with a KSOM based hint generator for solving the inverse kinematic problem of a redundant manipulator.
A practical algorithm is proposed for solving the inverse eigenvalue problem for un-damped, 3-D shear buildings.
The techniques for solving the Inverse Heat Conduction Problem represent useful tools for designing heat transfer apparatuses.
Library search is one of the most commonly used methods for solving the inverse problem in current optical scatterometry.
We propose a novel multi-phase level set algorithm for solving the inverse problem of bioluminescence tomography.
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