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Refine translation and rotation by applying the iterative closest point (ICP) algorithm [38]. 5.
Then, by applying the iterative technique, we also show that the system admits a unique globally attractive positive equilibrium.
In this work we discuss the possibility to reduce the computational complexity of modal methods, i.e. methods based on eigenmodes expansion, from the third power to the second power of the number of eigenmodes by applying the iterative technique.
Transcription modules were identified by applying the Iterative Signature Algorithm to the full expression dataset comprising all conditions [20], [21].
Based on EBV data of 14 588 progeny-tested bulls and pedigree data of 42 144 animals, the de-regression was carried out by applying the iterative procedure described in [ 23, 24] using the MiX99 package [ 25] and with the heritabilities shown in Table 1, which were those used in Nordic cattle routine genetic evaluation.
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By applying the monotone iterative technique, we not only prove the existence of positive solutions for the problem, but also establish iterative schemes for approximating the solutions.
For each interval of we denote by By applying the monotone iterative technique, we obtain not only the existence of positive solution for the PBVP (1.1), but also give an iterative scheme, which approximates the solution.
By applying the monotone iterative technique, we discuss the existence of symmetric positive solutions for (1.1) and obtain the main results in Section 3.
In this case, the joint optimization problem is solved by applying the following simple iterative algorithm at each resolution level j. ➀ Initialize the iteration number it to 0. Optimize separately the three prediction filters as explained in Section 3. The resulting filters will be denoted respectively by p j ( H H, 0 ), p j ( L H, 0 ), and p j ( H L, 0 ).
Thus, the optimal β k can be determined by applying the Newton's iterative method as described in [38].
This algorithm can be exactly derived by applying the Newton-Raphson iterative method for solving the non-linear optimization problem in (1), with the unit parameters s and ρ, respectively.
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