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With such choice of parameter, we can see that after about 50 updates, the algorithm converges to the optimal solution obtained by solving the optimization problem centrally.
When the request is sent to the MBS level, the MBS controller decides the optimal content placement by solving the optimization problem using CCSOA and satisfies the content request from caches in the SBS level or the cache in MBS.
For the problem of model deviations, Chaloner et al. [20] and Pascual [21, 62, 63, 64] established objective functions containing the effects of model deviation; therefore, they could obtain the optimal plan directly by solving the optimization problems with regard to the model deviations.
The reason is that the basis vectors of OMMPS and OKMMPS are obtained by solving the optimization problem sequentially, and they are optimal in meaning of maximum margin.
Generally, players in the cooperative game aim to minimize/maximize the total group cost/profit of all players and then search the overall optimal solution for each player by solving the optimization problem; while in the non-cooperative game, players only aim to minimize/maximize their own cost/profit and then search the Nash equilibrium.
At each time interval the flux distribution, v, which optimizes the growth rate μ is calculated by solving the optimization problem described in Equations 1, 2, 3 and 6.
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This can be obtained by solving the following optimization problem This optimization problem provides the value of δ* of Step 1 and the value of of Step 2. Similarly, Steps 3 and 4 can be implemented by determining the minimum of the designated functions on the specified areas in the parameter space.
By utilizing the model, 's dominant transmission power is determined by numerically solving the optimization problem: (6).
All CR users can calculate the optimal policy by solving the same optimization problem (15).
Using the kernel function, the - SVC SVM algorithm finds the optimal hyperplane by solving the dual optimization problem: (2).
We could qualitatively speculate the priority of modulated enzymes obtained by iteratively solving the optimization problems using various allowable numbers of manipulated enzymes.
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by solving the problem
by solving the normalization
by repeating the optimization
by solving the scalar
by solving the system
by rerunning the optimization
by solving the inverse
by solving the decision
by changing the optimization
by solving the master
by solving the cholera
by solving the model
by solving the right
by solving the set
by solving the energy
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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