If one needs super accuracy for some reason, linear interpolation is acceptable. Certain table values were computed by the same method. The table also moves from cryogenic temperatures to very high temperatures and has no values or zero where that material is not acceptable at those temperatures....
A new empirical model incorporating spatial interpolation of meteorological data for the prediction of overheating risks in UK dwellings Proceedings of PLEA 2017: the 33rd Passive and Low Energy Architecture International Conference, 3 (2017), pp. 3786-3793 Google Scholar Edinburgh (UK), Available at...
The linear correlations shown in Fig. 3 can be used for interpolation and extrapolation to predict missing UPOT values. The steps in determining UPOT and the prediction process are similar to the prediction of Vm. The exptlUPOT data of apatites and their synthetic analogs should be divided...
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Moreover, by combining the differential inequality approach and Gagliardo–Nirenberg interpolation inequality, the explicit upper and lower bounds of the blow-up time are deduced when blow-up singularity occurs. However, the present methods cannot be directly used to handle the blow-up properties of...
Moreover, by combining the differential inequality approach and Gagliardo–Nirenberg interpolation inequality, the explicit upper and lower bounds of the blow-up time are deduced when blow-up singularity occurs. However, the present methods cannot be directly used to handle the blow-up properties of...
The space X α is named the interpolation space between X 0 and X 1 or the fractional power space of the sectorial operator A. For 0 ≤ α 1 < α 2 , X α 2 is bounded and embedded into X α 1 , and the embedding X α 2 ↪ X α 1 is compact when the operator A exists...