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(2) The summable almost stability of a fixed point iteration procedure actually expresses a very important property regarding the rate of convergence of the sequence ({y_{n}}_{n=0}^{infty}), converging to the fixed point p, i.e., the fact that the 'displacements' (d y_{n},p)) converge fast enough to 0 to ensure the convergence of the series (sum_{n=0}^{infty}d y_{n},p)). .
The summable almost stability of a fixed point iteration procedure actually expresses a very important property regarding the rate of convergence of the sequence ({y_{n}}_{n=0}^{infty}), converging to the fixed point p, i.e., the fact that the 'displacements' (d y_{n},p)) converge fast enough to 0 to ensure the convergence of the series (sum_{n=0}^{infty}d y_{n},p)).
Optimization technologies should converge fast and have the ability to adaptively adjust the search.
This procedure makes it converge fast to the global optimal state.
The states converge fast with ultra-precision and ultra-stability in both the attitude and position.
Distributed Fast-Lipschitz algorithms converge fast, as opposed to traditional Lagrangian decomposition and parallelization methods, which generally converge slowly and at the price of many message passings among the nodes.
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(2008) usually converge faster.
In addition, the SVMs experts also converge faster and use fewer support vectors.
Using this approach, the response of system will converge faster than that of previous reports.
Thus, it reduces the search space and lets the algorithm to converge faster.
Hence, using a reduced number of successful candidates, the search process would converge faster and be less expensive.
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