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With n1 determined, the relationship ( varepsilon = {1 mathord{left/ {vphantom {1 {z^{{prime }} n_{1} }}} right. kern-0pt} {z^{{prime }} n_{1} }} ) can be solved for resource conversion and use N1.
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Because a 23-dimensional optimization problem that must be solved for simultaneously estimation of all unknown parameters requires great computational resources, a multistep approach was used.
More recently, the resource allocation problem was solved for a point-to-point single user system with power splitting receiver in ergodic fading channels [16].
Remember that you are solving for zero.
This can be solved numerically for X ^.
For even simple convergence studies, the 8X and 64X meshes must be solved, quickly exhausting computational resources.
The situation can't be solved by simply reallocating resources.
Equations (4)–(6) can be solved as a simple greedy selection of resource blocks for user k∗.
Our problem is... going to be solved in this country with our resources.
None can be solved without accepting the physical boundaries of a resource-constrained world.
After introducing the acceleration resource for VNF, how to implement uniform deployment and allocation of the acceleration resources is an urgent problem to be solved.
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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