numpy.linalg.matrix_rank()

1 개요

numpy.linalg.matrix_rank

from numpy.linalg import matrix_rank as rank
A = [[1,0,1],[-2,-3,1],[3,3,0]]
B = [[2,4,1,3],[-1,-2,1,0],[0,0,2,2],[3,6,2,5]]
C = [[1,1,0,2],[-1,-1,0,-2]]
D = [[1,-1],[1,-1],[0,0],[2,-2]]
E = [[1,3,1,9],[1,1,-1,1],[3,11,5,35]]

print( "rank(A)=", rank(A) )
print( "rank(B)=", rank(B) )
print( "rank(C)=", rank(C) )
print( "rank(D)=", rank(D) )
print( "rank(E)=", rank(E) )
# rank(A)= 2
# rank(B)= 2
# rank(C)= 1
# rank(D)= 1
# rank(E)= 2

2 같이 보기

• 계수 (선형대수학)
• 가우스 소거법

3 참고

• https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.linalg.matrix_rank.html