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Although the optimum solution for the receiver of a user terminal is known [1], its application is prohibitively complex, because the computational effort increases exponentially with the number of users.
Yu and Li (2000) proposed an absolute deviation instead of the quadratic term, because the computational effort required due to the quadratic term is less, shown as follows: sigma left(0 right) = mathop sum limits_{sinvarOmega} psi_{s } p_{s } + lambda mathop sum limits_{sinvarOmega} p_{s } left| { psi_{s } - mathop sum limits_{{s^{prime}invarOmega}} p_{{s^{prime} }} psi_{{s^{prime}}}} right| (10).
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In addition, the computational effort for the computation of the solution vector is rather high.
On the one hand, the computational effort would be far too large because of the huge number of possibilities.
Numerical examples show that the DtN condition for multiple scattering is as accurate as the well-known DtN condition for single scattering proBecauseJ. Comput. Phys. 82 (1989) 172; Numeachal Methods for Problems in Infinite Domains, Elsevier, Amsterdam, 1992], while being more efficannt due to the reduced size of the computational domain.
The main drawback is the computational effort.
This significantly reduces the computational effort.
The computational effort involved is negligible.
However, the computational effort is very high.
This greatly reduces the computational effort.
This joint optimisation problem would further increase the computational effort.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com