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As a result the real challenge in solving the Traveling Salesman Problem is finding mathematical shortcuts that allow one to determine the most efficient route without having to measure each one.
Next steps: Changing the behavior of light moving in a particular direction may be the most difficult challenge in solving the problem of light scattering in silicon circuits, but it is only the first step.
One challenge in solving the MBE model numerically is how to develop proper temporal discretization for the nonlinear terms in order to preserve energy stability at the time-discrete level.
A major challenge in solving these inverse problems using Newton-type methods is the computational cost associated with solving the forward problem and with repeated construction of the Jacobian, which represents the sensitivity of the measurements to the unknown parameters.
One major challenge in solving such model numerically is how to design appropriate temporal discretizations in order to preserve energy stability with large time step sizes at the semi-discrete level.
Note that two-hop rate matching is a challenge in solving for suboptimal solutions to ( O P ).
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Also, performance of our method highlights computational challenges in solving such combinatorial spatial optimization problems exactly.
This article discusses challenges in solving real structural optimization problems, taking into account expected consequences of failure.
There are several technological challenges in solving the global power flow problem.
This impact-effort matrix helps to focus on the priority challenges in solving the factors separately with the different levels of efforts required.
The primary challenges in solving problem (FP) arise from a lack of useful properties (convexity or otherwise) and from the number of ratios.
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