verdsveven/LinAlg-Practice
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check matrix invertible before invoking invcheck, trim unnecessary

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This commit is contained in:
Lukasz M 2022-04-09 17:31:56 +02:00
parent 6eb450ddbe
commit 9ddeaaf907
1 changed files with 6 additions and 5 deletions
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11
linalg-practice.py
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@ -38,11 +38,9 @@ def detcheck(a, b, rowcol, intmax):
# invcheck function to check if the inverse of the matrix is correct
def invcheck(a, b, rowcol, intmax):
det = a.det()
if det != 0 :
# return bool based on if input equals inverse of matrix
print("What is the inverse of this matrix?")
return (sp.Matrix(inmat(rowcol)) == a.inv())
# return bool based on if input equals inverse of matrix
print("What is the inverse of this matrix?")
return (sp.Matrix(inmat(rowcol)) == a.inv())
# eigcheck function to check if the eigenvalues are correct
def eigcheck(a, b, rowcol, intmax):
@ -92,6 +90,9 @@ def practice(t) :
if t == "diag" :
while not a.is_diagonalizable :
a = genmatrix(rowcol, intmax, dif)
if t == "inv" :
while a.det() == 0 :
a = genmatrix(rowcol, intmax, dif)
sp.pprint(a)
# if return of function is True
if f(a, b, rowcol, intmax) :