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Their convergence properties are sketched.
The optimization scheme exhibits monotonic convergence properties.
The model has shown good convergence properties.
Good stability and convergence properties are found.
convergence properties of the inverse spherical transforms.
Thus, a number of strategies have been proposed to improve their convergence properties.
The resulting numerical method highlights strong and robust convergence properties.
Several numerical experiments illustrate these interesting convergence properties.
The observer is formally shown to enjoy nice convergence properties.
Convergence properties of the neural network weights are proven.
We establish convergence properties of sequential Bayesian optimal designs.
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