numpy.linalg.lstsq(a, b, rcond=-1)
numpy.linalg.slogdet(a)
numpy.matmul(a, b, out=None) Matrix product of two arrays. The behavior depends on the arguments in the following way.
numpy.linalg.eigh(a, UPLO='L')
numpy.outer(a, b, out=None)
numpy.dot(a, b, out=None) Dot product of two arrays. For 2-D arrays it is equivalent to matrix multiplication, and for 1-D
numpy.linalg.eig(a)
numpy.linalg.eigvals(a)
numpy.linalg.matrix_rank(M, tol=None)
numpy.linalg.matrix_power(M, n)
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