In C#: double d = 0.4 - 1.2; What is d?
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Well? What is d equal to? Ivor S. Sargoytchev Dundas Software
It will return the same as any IEEE floating point software will: rounding errors. http://www.statsdirect.com/discussion/_disc1/0000000d.htm[^]
// Quantum sort algorithm implementation
while (!sorted)
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Well? What is d equal to? Ivor S. Sargoytchev Dundas Software
Thru a microscope, everything looks big. Believe me that is -0.8. Try Console.Write(). leppie::AllocCPArticle(Generic DFA State Machine for .NET);
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Well? What is d equal to? Ivor S. Sargoytchev Dundas Software
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Thru a microscope, everything looks big. Believe me that is -0.8. Try Console.Write(). leppie::AllocCPArticle(Generic DFA State Machine for .NET);
It is not since "if (d == -0.8)" will fail. Ivor S. Sargoytchev Dundas Software
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It will return the same as any IEEE floating point software will: rounding errors. http://www.statsdirect.com/discussion/_disc1/0000000d.htm[^]
// Quantum sort algorithm implementation
while (!sorted)
;Hehehe, I ran into this problem 15 years ago while writing a Fortran program.
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Hehehe, I ran into this problem 15 years ago while writing a Fortran program.
I guess I should use decimals. Ivor S. Sargoytchev Dundas Software
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I guess I should use decimals. Ivor S. Sargoytchev Dundas Software
Ivor S. Sargoytchev wrote: I guess I should use decimals. Decimals are very, very slow. Depending on what you're doing, there are techniques to workaround most IEEE rounding problems.
// Quantum sort algorithm implementation
while (!sorted)
; -
It is not since "if (d == -0.8)" will fail. Ivor S. Sargoytchev Dundas Software
Yes, but you should compare it like:
if (Math.Abs(d - 0.8) < Double.Epsilon)
And everything looks fine. See Double.Epsilon docs on MSDN.
// Quantum sort algorithm implementation
while (!sorted)
; -
Yes, but you should compare it like:
if (Math.Abs(d - 0.8) < Double.Epsilon)
And everything looks fine. See Double.Epsilon docs on MSDN.
// Quantum sort algorithm implementation
while (!sorted)
;Daniel, This is not true. Double.Epsilon is a very very very small number: Double.Epsilon = 4.94065645841247E-324 But in C# I get 0.4 - 1.2 = -0.79999999999999993. As you can see the deviation from -0.8 is hundreds of times bugger than 4.94065645841247E-324. Ivor S. Sargoytchev Dundas Software
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It is not since "if (d == -0.8)" will fail. Ivor S. Sargoytchev Dundas Software
Ivor S. Sargoytchev wrote: if (d == -0.8) You're comparing floating point values for equality?? :omg: cheers, Chris Maunder
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Ivor S. Sargoytchev wrote: if (d == -0.8) You're comparing floating point values for equality?? :omg: cheers, Chris Maunder
Chris, With respect, some constructive criticism please. Ivor S. Sargoytchev Dundas Software
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Chris, With respect, some constructive criticism please. Ivor S. Sargoytchev Dundas Software
ok, you asked for it... It is *well known* (;P) that floating point numbers have a limited resolution (around 7 digits for single, 15 for double*), and comparing the result of an arithmetic operation using "==" is prone to err. if you know the order of magnitude of one comparand, or at least you know that it's "far enough" from zero, use the abs(a-b) < 1e-6*(abs of known comparand) comparison. Otherwise it gets a little bit more tricky. *) don't quote me on the numbers, look up the IEEE definitions for the format
"Der Geist des Kriegers ist erwacht / Ich hab die Macht" StS
sighist | Agile Programming | doxygen -
Chris, With respect, some constructive criticism please. Ivor S. Sargoytchev Dundas Software
The value represented in a floating point variable is only an approximation to a value, not an exact representation. Because of this you cannot assume that something like
2.0 == 4.0 * 0.5will return true. When comparing floating point values you need to estimate how close is close enough then do a fuzzy comparision (something likeABS(A-B) < Epsilon) cheers, Chris Maunder -
The value represented in a floating point variable is only an approximation to a value, not an exact representation. Because of this you cannot assume that something like
2.0 == 4.0 * 0.5will return true. When comparing floating point values you need to estimate how close is close enough then do a fuzzy comparision (something likeABS(A-B) < Epsilon) cheers, Chris MaunderChris Maunder wrote: The value represented in a floating point variable is only an approximation to a value, not an exact representation. Because of this you cannot assume that something like 2.0 == 4.0 * 0.5 will return true. So this is how you count your beer consumption isn't? Especially when Kiwi and Aussie mates are involved. ;P Michael Martin Australia "I personally love it because I can get as down and dirty as I want on the backend, while also being able to dabble with fun scripting and presentation games on the front end." - Chris Maunder 15/07/2002
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Well? What is d equal to? Ivor S. Sargoytchev Dundas Software
If it's anything like C++, then d = -0.79999999999999993 ------------------------------------------ The ousted but stubbornly non-dead leader reportedly released an audiotape this weekend, ending by calling on Iraqis to, quote, "resist the occupation in any way you can, from writing on walls, to boycotting, to demonstrating and taking up arms." adding, "you know, pretty much anything I used to kill you for."
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The value represented in a floating point variable is only an approximation to a value, not an exact representation. Because of this you cannot assume that something like
2.0 == 4.0 * 0.5will return true. When comparing floating point values you need to estimate how close is close enough then do a fuzzy comparision (something likeABS(A-B) < Epsilon) cheers, Chris MaunderChris Maunder wrote: 2.0 == 4.0 * 0.5 Won't that actually be true because all those numbers are powers of 2? :cool: --Mike-- Ericahist | Homepage | RightClick-Encrypt | 1ClickPicGrabber Latest art~!@#2rDFA#@(#*%$Rfa39f3fqwf--= NO CARRIER
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Integer Math != IEEE Math Tim Smith I'm going to patent thought. I have yet to see any prior art.
That reminds me of the old C= BASIC, there was some number (I'll just use 42 as an example) where you could type:
PRINT 42
and the response would be:
42.0001
:wtf: --Mike-- Ericahist | Homepage | RightClick-Encrypt | 1ClickPicGrabber Latest art~!@#2rDFA#@(#*%$Rfa39f3fqwf--= NO CARRIER
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Chris Maunder wrote: 2.0 == 4.0 * 0.5 Won't that actually be true because all those numbers are powers of 2? :cool: --Mike-- Ericahist | Homepage | RightClick-Encrypt | 1ClickPicGrabber Latest art~!@#2rDFA#@(#*%$Rfa39f3fqwf--= NO CARRIER
Yes it should... John
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Well? What is d equal to? Ivor S. Sargoytchev Dundas Software
Ivor S. Sargoytchev wrote: Dundas Software THe only way you're going to get an answer in this crowd, when posting in the Lounge, is if you offer to hook us up with those women from the Summer Sale ads. :-D "When a man sits with a pretty girl for an hour, it seems like a minute. But let him sit on a hot stove for a minute and it's longer than any hour. That's relativity." - Albert Einstein
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Daniel, This is not true. Double.Epsilon is a very very very small number: Double.Epsilon = 4.94065645841247E-324 But in C# I get 0.4 - 1.2 = -0.79999999999999993. As you can see the deviation from -0.8 is hundreds of times bugger than 4.94065645841247E-324. Ivor S. Sargoytchev Dundas Software
I think that what he meant was something like: if(abs(0.4-1.2)-0.8) < Double.Epsilon) which is the proper way to compare floating point numbers, i guess.
