numpy.log10(x[, out]) = Return the base 10 logarithm of the input array, element-wise.

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

numpy.real_if_close(a, tol=100)

numpy.subtract(x1, x2[, out]) = Subtract arguments, element-wise.

numpy.ldexp(x1, x2[, out]) = Returns x1 * 2**x2, element-wise. The mantissas x1 and twos exponents x2

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

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

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