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Since in reality the duration of different periods cannot be offered for different customers, by cuckoo optimization algorithm, we try to maximize time length and provide a common optimal time for all subgroup charges in order to issue the variables making up the array.
Is this the wealth we seek to have in common - optimal security at the cost of maximal surveillance?
Under strongly connected digraphs, we prove that each node asymptotically converges to some common optimal solution.
For the cuprates an empirical linear Tc filling and overfilling dependence, which is universally calibrated to the electronegative species, indicates the involvement of a common optimal charge order.
Hence, a common optimal Chu sequence can be used for both channel PDP's.
Now, we have to prove the uniqueness of common optimal approximate solution.
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While we adapt common optimization techniques, such as optimal memory traffic, register blocking, and concurrency control, we also show that a different mindset and techniques are needed when matrices are tiny, and in particular, sub-vector/warp in size.
Angiographic restenosis also was more common with optimal PTCA than routine stenting (36.2% vs. 22.2%, p = 0.003).
Q-learning with the Boltzmann action-selection strategy guarantees the convergence of multi-agents to a common and optimal joint strategy after a few time step.
It is common in optimal design of a dynamic system to maximize fundamental (smallest) eigenvalue (varLambda_{f} = omega_{hbox{min} }^{2}) (Bendsøe and Sigmund 2003; Zheng et al. 2012; Yaghoobi and Hassani 2017) because it mainly dominates the dynamic response of the structure.
Under the assumption of a common cause, optimal cue combination can be implemented in a biologically realistic network using this type of coding.
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