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We refer to this class of problem as multi-objective decision processes under uncertainty.
The results demonstrated the potential of the inference system to this class of problem.
The paper shows that NED-DECOP is more efficient than prior collaborative planning algorithms for this class of problem.
These techniques are found to be superior to the standard deterministic dynamic transient analysis, for this class of problem.
This paper builds on a recently developed method for handling this class of problem in a novel way.
We can often recast this class of problem in order to exploit a rigorous multi-objective stochastic dynamic programming algorithm.
Similar(42)
This class of problems includes the incompressible Navier Stokes equations.
Turing's method of proving that this class of problems is undecidable is particularly suggestive.
This class of problems is commonly denoted here as the generalized plane piezoelectric (GPP) problem.
The comparisons demonstrate that our method produces physically accurate results for this class of problems.
The numerical results demonstrate the efficiency of the presented algorithm for this class of problems.
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CEO of Professional Science Editing for Scientists @ prosciediting.com