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For the inverse, let for all.
For the inverse problem of the equation (224).
For the inverse part, suppose (2.13) is true, let, we have.
For the inverse problem, we use a robust L 1-norm measure.
For the inverse problem of Problem for (1.3) with Condition, one can reconstruct the coefficients and.
For the inverse docking, the scoring will be inaccurate when αi dominates the ij.
The same is true for the inverse.
Analogous solutions are developed for the inverse boundary conditions.
A local uniqueness is proved for the inverse problem.
We give the first efficient algorithm with provable guarantees for the Inverse Shapley Value Problem.
By the contraction mapping principle, the uniqueness of the solution for the inverse problem is proved.
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