numpy.linalg.cond(x, p=None)

numpy.vdot(a, b) Return the dot product of two vectors. The vdot(a, b) function handles complex

numpy.linalg.pinv(a, rcond=1e-15)

numpy.linalg.norm(x, ord=None, axis=None, keepdims=False)

numpy.linalg.eigvalsh(a, UPLO='L')

numpy.linalg.tensorsolve(a, b, axes=None)

numpy.trace(a, offset=0, axis1=0, axis2=1, dtype=None, out=None)

numpy.tensordot(a, b, axes=2)

numpy.matmul(a, b, out=None) Matrix product of two arrays. The behavior depends on the arguments in the following way.

numpy.linalg.tensorinv(a, ind=2)