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The optimal (T_1) value can be obtained using iterative method.
The maximum likelihood estimator (MLE) of the aforementioned models does not have a closed form, yet the MLE can be obtained using iterative algorithms.
When the pedigree contains loops (e.g. when a ram is crossed with one of its daughters, which is common), only estimates can be obtained using iterative algorithms [ 26, 27].
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The results are obtained using iterative sequences.
Equations (25) and (26) suggest that Σ ̂ T and Σ ̂ A can be obtained using an iterative method such as the Flip-Flop algorithm.
In fact, if the crosstalk exists but is very small (e.g., imagine very far apart set of transceivers), then the optimal solution could even be obtained using distributed approach (e.g., iterative waterfilling) to converge to a unique Nash equilibrium (NE).
The crystallographic phase problem3 — the usually unavoidable loss of phase information in the diffraction intensity — is overcome by oversampling4 the diffraction pattern, and the image is obtained using an iterative algorithm5.
For nested electrical parameters, results are obtained using numerical iterative methods, stated boundary limits, simplifications and reduced forms of transcendental differential equations.
In the design process, first the design is obtained using the iterative patched conic technique without including the perturbations and then modified to include the perturbations.
The controllers are designed using two approaches: the Glover McFarlane loop shaping procedure (LSDP), and a novel implementation of a multiple operating point version of the LSDP using the ellipsoidal set approach, in which low order controllers are obtained using an iterative sequence of LMI programs and a convexifying potential function formulation.
Impressive results have been obtained using the iterative algorithm.
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