find the coefficients a, b, and c of the quadratic polynomial. that passes through the three points (x, y)
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find the coefficients a, b, and c of the quadratic polynomial y = ax^2+ bx + c that passes through the three points (x, y) = (1, 4), (4, 73), (5, 120)
I am not sure how to go code this problem and need help!!
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답변 (4개)
KSSV
2022년 4월 12일
% Convert the equation to form Ax = b
P = [1, 4 ;4, 73; 5, 120] ; % points
x = P(:,1) ;
y = P(:,2) ;
b = P(:,2) ; % RHS
A = [x.^2 x repelem(1,3,1)] ;
% solve
x = A\b ;
% check
A*x
KALYAN ACHARJYA
2022년 4월 12일
편집: KALYAN ACHARJYA
2022년 4월 12일
Sufficients Hints:
As it is the part of your work, please check the hints below, the equation is y = ax^2+ bx + c with three given Points.
Step 1:
Subsititute all those three points in the eqaution, you will get the three eqaution with unknown a,b,c
Step 2:
Create an Augumented Matrix using step 1 (3 equations)
Step 3:
Solve it for a,b,c
Helpful links
Do it yourself is the best way of learning!
Hope it helps!
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VBBV
2022년 4월 12일
syms a b c
x = [1 4 5];
y = [4 73 120];
eqn = y == a*x.^2+b*x+c
sol = solve(eqn,[a b c])
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Sam Chak
2022년 4월 12일
편집: Sam Chak
2022년 4월 12일
This problem can be rather easily solved with Curve-Fitting Toolbox with a click of a button or one simple function:
p = polyfit(x, y, 2)
However, I believe this is not the result your Professor wants to see. She or he probably wants to look at your efforts in computing the code according to what is taught in her or his lecture.
I'd suggest you to use a spreadsheet to tabulate out the necessary computations to be performed on the three points
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/961550/image.png)
Then, compose this:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/961555/image.png)
which exactly a linear system
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/961560/image.png)
The solution is given by
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/961565/image.png)
which is easily computed in MATLAB without using the Curve-Fitting Toolbox
x = A\b
But you may lose some marks for not computing the inverse of matrix A manually that involves calculating the determinant. Better check with your Professor if computing the matrix inverse is necessary shown in the working.
Don't worry about being discovered by your Professor as these are merely guidelines from the textbook or public domain knowledge. You just have to compute the required items as shown above.
Hope this explanation is helpful for you to discover your learning experience as mentioned @KALYAN ACHARJYA.
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