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We propose a temporal two-scale approach using local small-scale problems to compute an effective wall stress that will enter a long-scale problem.
References [10] and [11] formulate and solve optimization problems to compute the best moment for performing a handover.
For each s, the problem separates into κ independent problems to compute the optimal beamforming vector wk,n,s for each user k ∈ s.
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Several models are developed to map reasonably arbitrary application problems to computing platforms for achieving high performance by minimizing communication and by balancing computation.
In the first approach, we transform the MTC problem to a minimum set cover (MSC) problem and use the greedy algorithm that exploits the submodularity property of the MSC problem to compute the solution to the MTC problem.
This stochastic optimization problem is solved by dividing it into two problems an auxiliary optimization problem to construct stochastic space representations from the PDF of measurement data, and a stochastic optimization problem to compute the PDF of problem parameters.
It is a hard problem to compute the CoV, using Eq. 5, of each tuple as it includes n! permutation orderings.
Recently, Jain and Meena (2016) used the ANFIS technique for the analysis of Markovian fault tolerant machine repair problem to compute some performance metrics and to compare those with the results obtained using Runge Kutta approach.
Since individual fibres are activating on hundreds or even thousands of the synapses in the dendrite tree of a neuron, it could be a problem to compute which individual synapses will be strengthened or weakened or whether the system is balanced or not.
It is an interesting problem to compute the l2 radius for neighbor-joining with more taxa.
For example, for the word count problem, to compute all occurrences of a number of words, the map function could emit all (word, 1) tuples for each word from a single line of an input document.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com