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This method converges quickly.
The method converges to Pareto-optimal points.
The MVEP provides an improvement in global search reliability in a mixed-variable space and converges steadily to a good solution.
(2) The hybrid optimization approach can solve the approximate problem effectively, and the shooting iteration used to arrive at a high-precision solution converges steadily and rapidly.
Again Dogleg method converges very rapidly while alternative minimization and Cauchy point converge slowly.
We see that the iterative method converges within seven iterations.
It can be shown that the proposed iterative method converges.
Otherwise, the method converges to a wrong fixed point.
The method converges if the initial conditions are sufficiently close to the solution.
We find that our method converges to K=3 populations in a few thousand iterations.
This method converges quickly, typically locating an appropriate C* in fewer than 10 iterations.
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