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Study Design: Iterative design and validation of a virtual environment for simulating temporal bone dissection.
A simple idea to design iterative methods with quadratic or cubic convergence is also described.
Our ultimate goal is to design iterative algorithms with the following two properties.
This paper presents a frequency domain based method to design iterative learning controllers (ILC) for monotonic convergence.
For each design, iterative algorithms based on convex optimization technique are proposed to maximize the system rate.
The introduction of the turbo codes [2] has opened a new research area, where researchers are aiming to design iterative or turbo receivers.
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We are interested in designing iterative algorithms which are optimal and robust.
A new technique for designing iterative methods for solving nonlinear systems is presented.
So far as we know, if the given matrix has a sharper diagonally dominant degree, then the designed iterative algorithms has faster convergent rate than the ordinary ones (see [9]).
Much work has been done in designing iterative algorithms either to approximate a null point of maximal monotone mappings or a fixed point of weakly or strongly relatively non-expansive mappings, see [5 10] and the references therein.
Early works on power control [13, 17 20] designed iterative algorithms under the standard interference function framework [3, 13] in order to guarantee the convergence of the algorithms to a unique and optimal power allocation solution.
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