In this section, a general form of equation error criteria is introduced. The inverse solution is then obtained by solving a system of superdeterministic equations. The ill-posedness of inverse problems, however, may strongly manifest itself in this case through the ill-condition of coefficient matrix. Data processing, constrains imposition and parameterization are always necessary in this case for improving the stability of inverse solutions.
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- Direct Methods for the Solution of Inverse Problems
- Springer Netherlands
- Chapter 5