Programming
La grange interpolation polynomial

### Question Description

DESCRIPTION

Application to chemical engineering

The density of the potassium carbonate aqueous solution varies with temperature and concentration. In an experiment to determine the density of carbonate was considered constant temperature and concentration was varied , giving the table:

x        y

4     1.0276

12    1.1013

20    1.1801

28    1.2652

38    1.3480

45    1.4120

Write Scilab function is to use the Lagrange interpolation polynomial of the first degree to interpolate the value given by the user using the values ​​of the vectors " x " and "y" passed as parameter.

To improve the approximation , the function must find the two values ​​of X closest and use them in the polynomial . For example , if the user indicates that he wants to interpolate the value 25 , the program must use X0 = X1 = 20 and 28.

Example of program execution :

à  x = [4 , 12, 20 , 28, 38 , 45] à  y = [1.0276, 1.1013 , 1.1801 , 1.2652 , 1.3480 , 1.4120 ] à  lagrange (25, x , y)

X values ​​that were used to interpolate are 20 and 28 The estimate of 25 is 1.2332875

à  lagrange (15, x , y) X values ​​that were used to interpolate are: 12 and 20

The estimate of 15 is 1.13085

à  lagrange (50, x , y) can not get an estimated 50 .

à  lagrange (2, x , y) can not get an estimated 2

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fitting k (56)
UIUC
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