Get Solutions for: There are two ?les for the problem: 1. Neville’s Data This is the data points to be used to construc

There are two ?les for the problem: 1. Neville’s Data This is the data points to be used to construct the interpolationfunction. The ?le contains two rows of numbers, for example: x g
0.1 1.3
0.8 9.2
0.9 3.5 …
There is a sample code on how to read in the data into two Carrays, xData and yData. 2. The second ?le is a number of points that you want to ?nd thevalue of the interpolated function at that point. Read those xvalues into your program and have the program print out twocolumns, ¿newXDate? newYvalue
0.25 0.80
I would like the computed values to be written to an output ?lecalled Nevilles. The output ?le should contain two rows:
x1 f(x1)
x2 f(x2)
… …
¿xi? ¿f(xi)?
where each f(xi) is the interpolated value at the point xi.
File:
Neville_Data
0.000000 0.000000 0.050000 0.000122 0.100000 0.000946 0.150000 0.003096 0.200000 0.007094 0.250000 0.013360 0.300000 0.022198 0.350000 0.033799 0.400000 0.048230 0.450000 0.065430 0.500000 0.085210 0.550000 0.107240 0.600000 0.131043 0.650000 0.155984 0.700000 0.181265 0.750000 0.205916 0.800000 0.228802 0.850000 0.248636 0.900000 0.264022 0.950000 0.273522 1.000000 0.275758 1.050000 0.269573 1.100000 0.254214 1.150000 0.229572 1.200000 0.196414 1.250000 0.156594 1.300000 0.113150 1.350000 0.070221 1.400000 0.032681 1.450000 0.005418 1.500000 -0.007728 1.550000 -0.005268 1.600000 0.010706 1.650000 0.033836 1.700000 0.053966 1.750000 0.059287 1.800000 0.040278 1.850000 -0.005291 1.900000 -0.068081 1.950000 -0.126383 2.000000 -0.151463 2.050000 -0.119780 2.100000 -0.028805 2.150000 0.091783 2.200000 0.184181 2.250000 0.188230 2.300000 0.082032 2.350000 -0.086802 2.400000 -0.211296 2.450000 -0.190617 2.500000 -0.019021 2.550000 0.177790 2.600000 0.223289 2.650000 0.055684 2.700000 -0.173494 2.750000 -0.217329 2.800000 -0.009094 2.850000 0.211004 2.900000 0.154203 2.950000 -0.115401 3.000000 -0.211261 3.050000 0.021266 3.100000 0.211754 3.150000 0.032989 3.200000 -0.196750 3.250000 -0.044512 3.300000 0.186185 3.350000 0.018976 3.400000 -0.176515 3.450000 0.037532 3.500000 0.145563 3.550000 -0.106771 3.600000 -0.066854 3.650000 0.140506 3.700000 -0.050393 3.750000 -0.078409 3.800000 0.117642 3.850000 -0.054847 3.900000 -0.037469 3.950000 0.089391 4.000000 -0.081386 4.050000 0.035796 4.100000 0.014269 4.150000 -0.047238 4.200000 0.058009 4.250000 -0.052179 4.300000 0.038437 4.350000 -0.023776 4.400000 0.012028 4.450000 -0.004370 4.500000 0.000418 4.550000 0.000854 4.600000 -0.000600 4.650000 -0.000083 4.700000 0.000177 4.750000 0.001225 4.800000 -0.004717 4.850000 0.010126 4.900000 -0.015887 4.950000 0.018702
Attached