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## 12.1.1.1.1 Examples of Associativity and Commutativity in Numeric Operations

Consider the following expression, in which we assume that `1.0` and `1.0e-15` both denote single floats:

     (+ 1/3 2/3 1.0d0 1.0 1.0e-15)

One conforming implementation might process the arguments from left to right, first adding `1/3` and `2/3` to get `1`, then converting that to a double float for combination with `1.0d0`, then successively converting and adding `1.0` and `1.0e-15`.

Another conforming implementation might process the arguments from right to left, first performing a single float addition of `1.0` and `1.0e-15` (perhaps losing accuracy in the process), then converting the sum to a double float and adding `1.0d0`, then converting `2/3` to a double float and adding it, and then converting `1/3` and adding that.

A third conforming implementation might first scan all the arguments, process all the rationals first to keep that part of the computation exact, then find an argument of the largest floating-point format among all the arguments and add that, and then add in all other arguments, converting each in turn (all in a perhaps misguided attempt to make the computation as accurate as possible).

In any case, all three strategies are legitimate.

A conforming program could control the order by writing, for example,

     (+ (+ 1/3 2/3) (+ 1.0d0 1.0e-15) 1.0)

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