numpy.signbit(x[, out]) = Returns element-wise True where signbit is set (less than zero).

numpy.reciprocal(x[, out]) = Return the reciprocal of the argument, element-wise. Calculates 1/x.

numpy.conj(x[, out]) = Return the complex conjugate, element-wise. The complex conjugate of a complex number is obtained by

numpy.fmin(x1, x2[, out]) = Element-wise minimum of array elements. Compare two arrays and returns a new array containing the

numpy.absolute(x[, out]) = Calculate the absolute value element-wise.

numpy.add(x1, x2[, out]) = Add arguments element-wise.

numpy.arctanh(x[, out]) = Inverse hyperbolic tangent element-wise.

numpy.multiply(x1, x2[, out]) = Multiply arguments element-wise.

numpy.arccosh(x[, out]) = Inverse hyperbolic cosine, element-wise.

numpy.ceil(x[, out]) = Return the ceiling of the input, element-wise. The ceil of the scalar x is the smallest