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Still, the underwater approach solves some intractable problems.
The kitchen, rare in its approach, solves many problems.
The fold-up, blow-up approach solves the conundrum of how to build something voluminous that can be packed into the narrow payload confines of a rocket.
Research in problem solving commonly distinguishes between algorithms and heuristics, because each approach solves problems in different ways and with different assurances of success.
Our approach solves the problem of inaccurately detected target location.
This approach solves, or at least eases, some of frequentism's problems.
The Lytro approach solves some of these problems and exacerbates others.
The symbolists' approach solves the problem using pre-existing knowledge to fill the gaps.
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This approach solves the coevolution problem exactly.
As for the computation of permanents the only problem this approach solves it probably does not have any application beyond these experiments.
Our approach solves this problem by explicitly incorporating local DNA methylation levels in a Bayesian framework.
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