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Effective simulation models of complex systems must achieve an appropriate balance between computational complexity and model fidelity.
We studied an appropriate reconstruction algorithm searching for the best compromise between computational complexity and high precision.
The methodology, named Smart Search Space Reduction Sssr), explores at design time the Pareto relationship between computational complexity and application quality.
Furthermore, successive linearizations of nonlinear vessel dynamics about a shifted previous optimal system trajectory are implemented to maintain a trade-off between computational complexity and optimality.
Furthermore, in order to strike a balance between computational complexity and system performance, based on the AS scheme, we propose a low complexity optimization method for PS scheme where a suboptimal PS ratio is given.
Since the optimal virtual network provisioning is an NP-hard problem, existing studies devote to propose heuristic approaches for a tradeoff between computational complexity and the quality of VN provision.
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Salil Vadhan's research centers around the interface between computational complexity theory and cryptography.
It runs algorithms optimized to make a trade-off between computational complexity, rate reduction and high selection efficiency.
Even though the use of regular LBP leads to the best results, the LBPu 2 operator seems to provide a reasonable trade-off between computational complexity (see Figure 10) and performance.
Simulation results show that there must be equilibriums between SLM computational complexity and PAPR performance.
There is a tradeoff between the computational complexity and the estimation performance of the resultant set.
More suggestions(15)
between computational analysis and
between algorithm complexity and
between computational time and
between regulatory complexity and
between computational effort and
between computational modeling and
between low complexity and
between high complexity and
between computational power and
between political complexity and
between computational practicality and
between computational burden and
between computational modelling and
between computational simulation and
between patient complexity and
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