doubles a == b or not ?
-
How often is the handling of infinity and negative infinity actually useful? If x is the largest non-infinite positive float, the expression x+x+(-x)+(-x) could evaluate as positive infinity, negative infinity, zero, or NaN, depending upon the order of evaluation. In what sense would any value other than zero or NaN be meaningful?
-
How often is the handling of infinity and negative infinity actually useful? If x is the largest non-infinite positive float, the expression x+x+(-x)+(-x) could evaluate as positive infinity, negative infinity, zero, or NaN, depending upon the order of evaluation. In what sense would any value other than zero or NaN be meaningful?
I don't know, I just pointed out that the values for A and B should be zero and negative zero (in any order) :) That expression, well, I guess I'd like to get 0 as the result, but the other results are reasonable as well - even if they aren't useful or meaningful.
-
Correct. :) Here's another fun one.
public static string NextTest(double a) {
if (a != a && a.Equals(a))
return "Correct!";
else
return "Not yet!";
}Bonus points if you can explain the rationale for why it acts like this...
-
I'm guessing NaN, but let me test that first.. It would be because: NaN != NaN (definition of NaN), but the bit pattern and type are the same so NaN.Equals(NaN) Edit: ok tested, NaN works
Correct, nice job. :) Basically, the IEEE definition of equality for floating points requires NaN != NaN (see here)... but the .NET definition of equality requires that a.Equals(a). (Otherwise, you'd never be able to get anything back out of a Dictionary if the key had a NaN in it). So floats and doubles have a special clause in their Equals operator that checks for NaN for this reason.
-
Correct, nice job. :) Basically, the IEEE definition of equality for floating points requires NaN != NaN (see here)... but the .NET definition of equality requires that a.Equals(a). (Otherwise, you'd never be able to get anything back out of a Dictionary if the key had a NaN in it). So floats and doubles have a special clause in their Equals operator that checks for NaN for this reason.
Is there anything that specifies that two NaN's will test equal to each other via the .Equals predicate? I recall one floating-point system where the bit value of a NaN would indicate which type of operation first produced an invalid value, so sqrt(-1) would yield one bit pattern while (0/0) would yield another. I would expect that if a variable holding a NaN is copied to another variable of the same precision, the two variables would be guaranteed to compare .Equals, but that wouldn't imply that all NaN's are equal. Do you know what actual rules exist?
-
Is there anything that specifies that two NaN's will test equal to each other via the .Equals predicate? I recall one floating-point system where the bit value of a NaN would indicate which type of operation first produced an invalid value, so sqrt(-1) would yield one bit pattern while (0/0) would yield another. I would expect that if a variable holding a NaN is copied to another variable of the same precision, the two variables would be guaranteed to compare .Equals, but that wouldn't imply that all NaN's are equal. Do you know what actual rules exist?
Hi, AFAIK there are many bit patterns that get interpreted as NaN, hence when a and b are NaN then a.Equals(b) can evaluate either true or false. :)
Luc Pattyn [Forum Guidelines] [My Articles]
- before you ask a question here, search CodeProject, then Google - the quality and detail of your question reflects on the effectiveness of the help you are likely to get - use the code block button (PRE tags) to preserve formatting when showing multi-line code snippets
-
Is there anything that specifies that two NaN's will test equal to each other via the .Equals predicate? I recall one floating-point system where the bit value of a NaN would indicate which type of operation first produced an invalid value, so sqrt(-1) would yield one bit pattern while (0/0) would yield another. I would expect that if a variable holding a NaN is copied to another variable of the same precision, the two variables would be guaranteed to compare .Equals, but that wouldn't imply that all NaN's are equal. Do you know what actual rules exist?
Yes - here are the rules laid out by the ECMA CLI standard. For ==:
3.21 ceq
The ceq instruction compares value1 and value2. If value1 is equal to value2, then 1 (of
type int32) is pushed on the stack. Otherwise, 0 (of type int32) is pushed on the stack.
For floating-point numbers, ceq will return 0 if the numbers are unordered (either or both
are NaN). The infinite values are equal to themselves.For Object.Equals(Object):
8.2.5.2 Equality
For value types, the equality operator is part of the definition of the exact type.
Definitions of equality should obey the following rules:• Equality should be an equivalence operator, as defined above.
• Identity should imply equality, as stated earlier.
• If either (or both) operand is a boxed value, equality should be computed by
o first unboxing any boxed operand(s), and then
o applying the usual rules for equality on the resulting values.Equality is implemented on System.Object via the Equals method.
[Note: Although two floating point NaNs are defined by IEC 60559:1989 to always compare
as unequal, the contract for System.Object.Equals requires that overrides must satisfy
the requirements for an equivalence operator. Therefore, System.Double.Equals and
System.Single.Equals return True when comparing two NaNs, while the equality operator
returns False in that case, as required by the IEC standard. end note]Unfortunately, as far as bit patterns are concerned with NaN... things get much more vague. It's good in some sense because it means you don't really have to deal with it on the bit pattern level, though. As long as you stay within a precision, you can pretty safely assume NaN is NaN in .NET.:
12.1.3 Handling of floating-point data types
Floating-point calculations shall be handled as described in IEC 60559:1989. This standard
describes encoding of floating-point numbers, definitions of the basic operations and
conversion, rounding control, and exception handling.The standard defines special values, NaN, (not a number), +infinity, and –infinity. These
values are returned on overflow conditions. A general principle is that operations that
have a value in the limit return an appropriate infinity while those that have no limiting
value return NaN (see the standard for details).[Note: The following examples show the most commonly encountered cases.
X rem 0 = NaN
0 * +infinity = 0 * -infinity = NaN
(X / 0) = +infinity, if X > 0
NaN, if X = 0
infinity, if X < 0
NaN op X = X op -
Yes - here are the rules laid out by the ECMA CLI standard. For ==:
3.21 ceq
The ceq instruction compares value1 and value2. If value1 is equal to value2, then 1 (of
type int32) is pushed on the stack. Otherwise, 0 (of type int32) is pushed on the stack.
For floating-point numbers, ceq will return 0 if the numbers are unordered (either or both
are NaN). The infinite values are equal to themselves.For Object.Equals(Object):
8.2.5.2 Equality
For value types, the equality operator is part of the definition of the exact type.
Definitions of equality should obey the following rules:• Equality should be an equivalence operator, as defined above.
• Identity should imply equality, as stated earlier.
• If either (or both) operand is a boxed value, equality should be computed by
o first unboxing any boxed operand(s), and then
o applying the usual rules for equality on the resulting values.Equality is implemented on System.Object via the Equals method.
[Note: Although two floating point NaNs are defined by IEC 60559:1989 to always compare
as unequal, the contract for System.Object.Equals requires that overrides must satisfy
the requirements for an equivalence operator. Therefore, System.Double.Equals and
System.Single.Equals return True when comparing two NaNs, while the equality operator
returns False in that case, as required by the IEC standard. end note]Unfortunately, as far as bit patterns are concerned with NaN... things get much more vague. It's good in some sense because it means you don't really have to deal with it on the bit pattern level, though. As long as you stay within a precision, you can pretty safely assume NaN is NaN in .NET.:
12.1.3 Handling of floating-point data types
Floating-point calculations shall be handled as described in IEC 60559:1989. This standard
describes encoding of floating-point numbers, definitions of the basic operations and
conversion, rounding control, and exception handling.The standard defines special values, NaN, (not a number), +infinity, and –infinity. These
values are returned on overflow conditions. A general principle is that operations that
have a value in the limit return an appropriate infinity while those that have no limiting
value return NaN (see the standard for details).[Note: The following examples show the most commonly encountered cases.
X rem 0 = NaN
0 * +infinity = 0 * -infinity = NaN
(X / 0) = +infinity, if X > 0
NaN, if X = 0
infinity, if X < 0
NaN op X = X opGood info, but when pasting docs into a pre block you really need to insert manual linebreaks. That's going to horizontal scroll on anything less than a dual 30" setup.
Today's lesson is brought to you by the word "niggardly". Remember kids, don't attribute to racism what can be explained by Scandinavian language roots. -- Robert Royall
-
Good info, but when pasting docs into a pre block you really need to insert manual linebreaks. That's going to horizontal scroll on anything less than a dual 30" setup.
Today's lesson is brought to you by the word "niggardly". Remember kids, don't attribute to racism what can be explained by Scandinavian language roots. -- Robert Royall
-
How often is the handling of infinity and negative infinity actually useful? If x is the largest non-infinite positive float, the expression x+x+(-x)+(-x) could evaluate as positive infinity, negative infinity, zero, or NaN, depending upon the order of evaluation. In what sense would any value other than zero or NaN be meaningful?
SHouldn't it end up as NaN no matter what execution order is?
-
SHouldn't it end up as NaN no matter what execution order is?
peterchen wrote:
SHouldn't it end up as NaN no matter what execution order is?
The expression I gave was x+x+(-x)+(-x). (((x+x)-x)-x) should yield positive infinity (inf-x is inf) (x+(x-(x+x))) should yield negative infinity (-inf+x is -inf) (x+x)-(x+x) should yield NaN (inf + -inf is NaN) x+(x-x)-x should yield zero (no overflows anyplace).
-
Never... well virtually never, a wise developer would never trust it.
A wise developer would never compare a double or float for equality without washing the data first.
"Why don't you tie a kerosene-soaked rag around your ankles so the ants won't climb up and eat your candy ass..." - Dale Earnhardt, 1997
-----
"...the staggering layers of obscenity in your statement make it a work of art on so many levels." - Jason Jystad, 10/26/2001 -
peterchen wrote:
SHouldn't it end up as NaN no matter what execution order is?
The expression I gave was x+x+(-x)+(-x). (((x+x)-x)-x) should yield positive infinity (inf-x is inf) (x+(x-(x+x))) should yield negative infinity (-inf+x is -inf) (x+x)-(x+x) should yield NaN (inf + -inf is NaN) x+(x-x)-x should yield zero (no overflows anyplace).
I am not sure how IEEE floats work, but inf-x=inf works only for finite x. inf-inf should in any case end up
NaN, and no matter how this expression is evaluated, you will end up with that subexpression at one point, and once any operand is NaN, it should stick.
I googled, here's what I came upon: scroll down to "special operations": Clickety[^]
-
I am not sure how IEEE floats work, but inf-x=inf works only for finite x. inf-inf should in any case end up
NaN, and no matter how this expression is evaluated, you will end up with that subexpression at one point, and once any operand is NaN, it should stick.
I googled, here's what I came upon: scroll down to "special operations": Clickety[^]
I should have said that the indicated mathematical expression could yield four different results depending upon the order in which the terms were grouped. If the expression is coded in a particular form, the language's standard rules of associativity will dictate how the terms are grouped, but if it is computed using something like a sum() method on a database field, such behavior would not be guaranteed. While it wouldn't seem particularly likely that an implementation would separately sum together the two positive terms and the two negative terms before adding the two sums, such an approach would generally yield better precision than adding everything in sequence.
-
I should have said that the indicated mathematical expression could yield four different results depending upon the order in which the terms were grouped. If the expression is coded in a particular form, the language's standard rules of associativity will dictate how the terms are grouped, but if it is computed using something like a sum() method on a database field, such behavior would not be guaranteed. While it wouldn't seem particularly likely that an implementation would separately sum together the two positive terms and the two negative terms before adding the two sums, such an approach would generally yield better precision than adding everything in sequence.
My point was that grouping doesn't matter if you define the arithmetics for special values correctly (Which the IEEE standard apparently does)
-
My point was that grouping doesn't matter if you define the arithmetics for special values correctly (Which the IEEE standard apparently does)
Grouping very much does matter. Adding together the four items: +x, +x, -x, -x (where x is the the largest number short of infinity) If they are grouped as (+x + +x) + (-x + -x) the result will be (+inf) + (-inf), or NaN. If they are grouped as ((+x + +x) + -x) + -x the result will be (+inf + -x) + -x, or +inf + -x, or +inf. If they are grouped as +x + (+x + (-x + -x)) the result will be +x + (+x + -inf), or +x + -inf, or -inf. If they are grouped as (+x + (+x + -x)) + -x, the result will be (+x + 0) + -x, or +x + -x, or zero. With which of those statements do you disagree.
-
Grouping very much does matter. Adding together the four items: +x, +x, -x, -x (where x is the the largest number short of infinity) If they are grouped as (+x + +x) + (-x + -x) the result will be (+inf) + (-inf), or NaN. If they are grouped as ((+x + +x) + -x) + -x the result will be (+inf + -x) + -x, or +inf + -x, or +inf. If they are grouped as +x + (+x + (-x + -x)) the result will be +x + (+x + -inf), or +x + -inf, or -inf. If they are grouped as (+x + (+x + -x)) + -x, the result will be (+x + 0) + -x, or +x + -x, or zero. With which of those statements do you disagree.
supercat9 wrote:
largest number short of infinity
ohhh... I missed that all the time :sigh:
-
supercat9 wrote:
largest number short of infinity
ohhh... I missed that all the time :sigh:
-
Correct, nice job. :) Basically, the IEEE definition of equality for floating points requires NaN != NaN (see here)... but the .NET definition of equality requires that a.Equals(a). (Otherwise, you'd never be able to get anything back out of a Dictionary if the key had a NaN in it). So floats and doubles have a special clause in their Equals operator that checks for NaN for this reason.
akidan wrote:
the .NET definition of equality requires that a.Equals(a). (Otherwise, you'd never be able to get anything back out of a Dictionary if the key had a NaN in it
And that would be a problem? Whoever sticks a NaN into a dictionary deserves to not get the values back! NaN is defined as "This is a marker for overflow somewhere. It is not comparable with anything."
Let's think the unthinkable, let's do the undoable, let's prepare to grapple with the ineffable itself, and see if we may not eff it after all.
Douglas Adams, "Dirk Gently's Holistic Detective Agency"