numpy.arccos(x[, out]) = Trigonometric inverse cosine, element-wise. The inverse of

numpy.convolve(a, v, mode='full')

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

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.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

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

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

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