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The resolution to this problem depends to some degree on what should be done with Phoca (sensu lato), which varies regularly between being recognized as a single genus (for example, [ 13, 57]), as four separate genera (for example, [ 14, 53, 58]) or some intermediate solution (for example, [ 54]).
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The success of structural identification for real problems depends to a great extent on the robustness and efficiency of the methods.
The solution to the optimum input design problem depends on the unknown parameters to be estimated which is often approximated by an initial estimate.
The solution Descartes puts forward to this problem depends on our having prior and certain knowledge of God.
The solution to that problem depends on the assumptions made: the structure of the mathematical model, a priori statistical knowledge and a suitable optimization criterion.
It turns out that the solution to this problem depends on the ratio (see Appendix A.2) gamma_{1} = frac{b_{1}a_{2}}{b_{2}a_{15}, (15) which we treat in two separate cases corresponding to (gamma_{1} lessgtrfrac{V_{T}}{V_{G}}).
It appears that the answer to this problem depends on drive mechanism, well position, and the capillary pressure distribution along the fault, as well on which parameters need to be modelled (e.g. bottom-hole pressures, hydrocarbon production rates, water cuts, etc).
Identifying a path to solving this problem depends on an accurate assessment of the core drivers.
The selection of the appropriate measures for a specific problem depends on how well they adjust to the problem.
The ability to solve an inverse problem depends on the quality of the optimisation approach and the relevance of information used to solve the inverse problem.
"So when we're going to catch up with this problem depends in great part on what happens on the demand side".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com