[Haskell-cafe] Sum and Product do not respect the Monoid laws
Jason Choy
jjwchoy at gmail.com
Fri Sep 26 10:33:01 UTC 2014
On 25 September 2014 18:54, Carter Schonwald <carter.schonwald at gmail.com>
wrote:
> No. It is associative, just not in the way you expect. 😄
>From What Every Computer Scientist Should Know About Floating-Point
Arithmetic by David Goldberg: "Due to roundoff errors, the associative laws
of algebra do not necessarily hold for floating-point numbers. For example,
the expression (x+y)+z has a totally different answer than x+(y+z) when x =
10^30, y = -10^30 and z = 1 (it is 1 in the former case, 0 in the latter)."
On Thursday, September 25, 2014, Jason Choy <jjwchoy at gmail.com> wrote:
>
>> Thanks for the responses.
>>
>> I appreciate that floating point arithmetic is imprecise, and anyone
>> using it should be aware of the ramifications, however it still feels
>> strange to me that Sum Double claims to be a monoid. Is this is a case
>> where convenience is favoured over correctness? Are there any other monoids
>> with an "almost associative" binary operator?
>>
>> I think I would feel a little less uneasy if the types were called
>> ImpreciseSum and ImpreciseProduct when it is not associative.
>>
>>
>> On 23 September 2014 17:30, Carter Schonwald <carter.schonwald at gmail.com>
>> wrote:
>>
>>> well said and thanks for taking the time to clarify some of the
>>> imprecision in what I was saying!
>>>
>>> On Tue, Sep 23, 2014 at 3:06 AM, Richard A. O'Keefe <ok at cs.otago.ac.nz>
>>> wrote:
>>>
>>>>
>>>> On 20/09/2014, at 5:26 AM, Carter Schonwald wrote:
>>>>
>>>> > Indeed,
>>>> >
>>>> > Also Floating point numbers are NOT real numbers, they are
>>>> approximate points on the real line that we pretend are exact reals but
>>>> really are a very different geometry all together! :)
>>>>
>>>> Floating point numbers are *PRECISE* numbers with
>>>> approximate *OPERATIONS*. This is the way they are
>>>> defined in the IEEE standard and its successors;
>>>> this is the way they are defined in LIA-1 and its
>>>> successors. If you do not understand that it is
>>>> the OPERATIONS that are approximate, not the numbers,
>>>> you have not yet begun to understand floating point
>>>> arithmetic.
>>>>
>>>> > Floats and Doubles are not exact numbers, dont use them when you
>>>> expect things to behave "exact". NB that even if you have *exact* numbers,
>>>> the exact same precision issues will still apply to pretty much any
>>>> computation thats interesting (ignoring what the definition of interesting
>>>> is). Try defining things like \ x -> SquareRoot x or \x-> e^x on the
>>>> rational numbers! Questions of precision still creep in!
>>>>
>>>> You're not talking about precision here but about
>>>> approximation. And you can simply work with finite representations
>>>> of algebraic numbers. I have a Smalltalk class that implements
>>>> QuadraticSurds so that I can represent (1 + sqrt 5)/2 *exactly*.
>>>> You can even compare QuadraticSurds with the same surd exactly.
>>>> (This all works so much better in Haskell, where you can make
>>>> the "5" part a type-level parameter.)
>>>>
>>>> Since e is not a rational number, it's not terribly interesting
>>>> that e^x (usually) isn't when x is rational.
>>>>
>>>> If we want to compute with a richer range of numbers than
>>>> the rationals, we can do that. We could, for example, compute
>>>> with continued fractions. Haskell makes that a small matter
>>>> of programming, and I expect someone has already done it.
>>>>
>>>> > So I guess phrased another way, a lot of the confusion / challenge in
>>>> writing floating point programs lies in understanding the representation,
>>>> its limits, and the ways in which it will implicitly manage that precision
>>>> tracking book keeping for you.
>>>>
>>>> Exactly so. There are even people who think the representation
>>>> is approximate instead of the operations! For things like
>>>> doubled-double, it really matters that the numbers are precise
>>>> and combine in predictable ways.
>>>>
>>>> Interestingly, while floating point addition and multiplication
>>>> are not associative, they are not wildly or erratically
>>>> non-associative, and it is possible to reason about the results
>>>> of operations.
>>>>
>>>>
>>>
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>>
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