Question

As a personal preference I don't like the idea of Gauss elimination with back substitution. So I'm not going to make any of you go through that pain either. basically I want you to write a program that takes a set of linear equations like this: 5w+2x+2y+3z = 15 -11w-3x+5y-7z = -2 2w+4x-6y = -21 w+2y+2z = 4 Although I will probably not give you any more than ten equations in ten unknowns your program has to be able to solve any simultaneous set of linear equations. start the program out by giving it the coefficient matrix c=[[5,2,2,3,15],[-11,-3,5,-7,-2],[2,4,-6,0,-21],[1,0,2,2,4]] and have it print out the solution vector in the form: [5, -2.5, 3.5, -4] remember to try testing the program with various input. for example, what if you wanted to solve: 3x=12 input [[3,12]] output [4]

Answer 1

`Hey,

Note: If you have any queries related the answer please do comment. I would be very happy to resolve all your queries.

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https://trinket.io/python3/fa56f84266

import numpy as np
def getSolution(c):
A=c[:,:-1];
B=c[:,-1:];
X = np.linalg.inv(A).dot(B)
return X;
c=[[5,2,2,3,15],[-11,-3,5,-7,-2],[2,4,-6,0,-21],[1,0,2,2,4]]
print(getSolution(np.array(c)))

Kindly revert for any queries

Thanks.