Use the following set of pressure-volume data to develop a script m-file to find a₀ and a₁ in the following exponential model.

P.S I NEED I SCRIPT FOR MATHLAB!!

y=a0+a1x+a2x2

After the model development;

Calculate the root of developed model equation using Newton-Raphson method (x_initial=0). Then,

the code should automatically calculate the predicted volume @ 1.05 bar pressure using the regression model. Also, in the same script m-file this value must be calculated using Lagrange Interpolation and the absolute difference between two finding must be displayed as well.

Data

Pressure (bar)	Volume (m3)
0.644	32
0.985	25
1.108	22.2
1.363	18
1.631	15
1.934	12
2.356	9
3.1	7.2

Note: The script m-file should work itself when I run it! I will not make any additional inputs. All inputs must be defined in the beginning of the code.

Please note the following warnings!

The results should be presented with fprintf command.

The following results should be displayed at the end of the code in this order (just these. No more!): a- the model, with a₀ and a₁ written on it

b- root of the model equation

c- result of the predicted volume at 1.05bar using regression model

d- interpolation result of volume at 1.05bar using lagrange method,

e- the absolute difference between the volume values calculated from model and interpolation.

When script executed above text with correct result should be displayed on command window:

a) The Model: y=()+()*x+()*x^2

b) root value :

c) From model: V= when P=1.05bar

d) According to LAGRANGE Method

f interpolated value for P = 1.05 -> V=

e) absolute difference between calculated value and interpolation

difference:

NUMERICAL ANALYSIS TUTORIAL EXAM Use the following set of pressure-volume data to develop a script m-file (name it as your "name. sumame) to find an and a in the following exponential model. y = a, + ax + a,x After the model development: Calculate the root of developed model equation using Newton-Raphson method (Sinitial=0). Then, the code should automatically calculate the predicted volume @ 1.05 bar pressure using the regression model. Also, in the same script m-file this value must be calculated using Lagrange Interpolation and the absolute difference between two finding must be displayed as well. Data Pressure Volume (bar) (m) 0.644 32 0.985 25 1.108 1.363 18 1.631 15 1.934 12 2.356 9 3.1 7.2 22.2 Note: The script m-file should work itself when I run it! I will not make any additional inputs. All inputs must be defined in the beginning of the code. Please note the following warnings! The results should be presented with fprintf command. The following results should be displayed at the end of the code in this order (just these. No more!): a- the model, with ao and ai written on it b- root of the model equation c- result of the predicted volume at 1.05bar using regression model d- interpolation result of volume at 1.05bar using lagrange method, e-the absolute difference between the volume values calculated from model and interpolation GOOD LUCK NUMERICAL ANALYSIS TUTORIAL EXAM ANSWER When script executed above text with correct result should be displayed on command window: a) The Model: y=(............) + (...........) *x+ (............) *x^2 b) root value : BREREREBRER c) From model: V=............ when P=1.05bar d) According to LAGRANGE Method f interpolated value for p = 1.05 -> V= e) absolute difference between calculated value and interpolation difference: BELERE