How to solve cramer's Rule For Solving a Linear System Of n Equations With n Variables using python without using any libraries.
# a simple implementation using numpy
from numpy import linalg
A=[[2,-1,5,1],[3,2,2,-6],[1,3,3,-1],[5,-2,-3,3]]
B=[-3,-32,-47,49]
C=[[2,-1,5,1],[3,2,2,-6],[1,3,3,-1],[5,-2,-3,3]]
X=[]
for i in range(0,len(B)):
for j in range(0,len(B)):
C[j][i]=B[j]
if i>0:
C[j][i-1]=A[j][i-1]
X.append(round(linalg.det(C)/linalg.det(A),1))
print('w=%s'%X[0],'x=%s'%X[1],'y=%s'%X[2],'z=%s'%X[3])
How to solve cramer's Rule For Solving a Linear System Of n Equations With n Variables...
Linear Algebra: Use Cramer's Rule to solve the following system of
equations.
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DETAILS LARLINALG8 3.4.021. Use Cramer's Rule to solve (if possible) the system of linear equations. (If not possible, enter IMPOSSIBLE.) 4x1 X2 + x3 = -13 2x1 + 2x2 + 3x3 = 11 2X2 + 6x₂ 5x1 6 (*1, X2, X3) =
Solve the Following 3x3 system of linear equations using
Cramer's Rule. Use the expansion by
minors method to evaluate the determinants. Find the
solution ordered triple and check. Show Work:
3x-2y+z=12
x+3y-2z=-9
2x-4y-3z=-4
[EXPAND ALONG ROW 1] "|" is just me manually making rows to show
expansion steps
x= |_______| = |________|______|_____|______|_____|=
________=_____=
y= |_______| = |________|______|_____|______|_____|=
________=_____=
z= |_______| = |________|______|_____|______|_____|=
________=_____=
ordered triple: {(__,__)}
Include checks on x,y,z
sorry i tried uploading picture of problem but it...
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4. (10 pts) Using the Gauss-Jordan elimination process, solve the following systems of linear equations. How many solutions are there? Can we apply Cramer's rule? Explain why (Use the matrix form of linear equations.)
4. (10 pts) Using the Gauss-Jordan elimination process, solve the following systems of linear equations. How many solutions are there? Can we apply Cramer's rule? Explain why (Use the matrix form of linear equations.)
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