Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
255 views
in Technique[技术] by (71.8m points)

c++ incorrect floating point arithmetic

For the following program:

#include <iostream>
#include <iomanip>
using namespace std;
int main()
{
    for (float a = 1.0; a < 10; a++)
        cout << std::setprecision(30) << 1.0/a << endl;
    return 0;
}

I recieve the following output:

1
0.5
0.333333333333333314829616256247
0.25
0.200000000000000011102230246252
0.166666666666666657414808128124
0.142857142857142849212692681249
0.125
0.111111111111111104943205418749

Which is definitely not right right for the lower place digits, particularly with respect to 1/3,1/5,1/7, and 1/9. things just start going wrong around 10^-16 I would expect to see out put more resembling:

1
0.5
0.333333333333333333333333333333
0.25
0.2
0.166666666666666666666666666666
0.142857142857142857142857142857
0.125
0.111111111111111111111111111111

Is this an inherit flaw in the float class? Is there a way to overcome this and have proper division? Is there a special datatype for doing precise decimal operations? Am I just doing something stupid or wrong in my example?

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Answer

0 votes
by (71.8m points)

There are a lot of numbers that computers cannot represent, even if you use float or double-precision float. 1/3, or .3 repeating, is one of those numbers. So it just does the best it can, which is the result you get.

See http://floating-point-gui.de/, or google float precision, there's a ton of info out there (including many SO questions) on this subject.

To answer your questions -- yes, this is an inherent limitation in both the float class and the double class. Some mathematical programs (MathCAD, probably Mathematica) can do "symbolic" math, which allows calculation of the "correct" answers. In many cases, the round-off error can be managed, even over really complex computations, such that the top 6-8 decimal places are correct. However, the opposite is true as well -- naive computations can be constructed that return wildly incorrect answers.

For small problems like division of whole numbers, you'll get a decent number of decimal place accuracy (maybe 4-6 places). If you use double precision floats, that will go up to maybe 8. If you need more... well, I'd start questioning why you want that many decimal places.


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...