Articles from October, 2010

Incorrect Floating-Point to Decimal Conversions

In my article “Inconsistent Rounding of Printed Floating-Point Numbers” I showed examples of incorrect floating-point to decimal conversions I stumbled upon — in Java, Visual Basic, JavaScript, VBScript, and OpenOffice.org Calc. In this article, I’ll explore floating-point to decimal conversions more deeply, by analyzing conversions done under four C compilers: Visual C++, MinGW GCC, Digital Mars C, and Linux GCC. I found that incorrect conversions occur in three of the four environments — in all but Linux GCC. I’ll show you some examples and explain how I found them.

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Inconsistent Rounding of Printed Floating-Point Numbers

What does this C program print?

#include <stdio.h>
int main (void)
{
 printf ("%.1f\n",0.25);
}

The answer depends on which compiler you use. If you compile the program with Visual C++ and run on it on Windows, it prints 0.3; if you compile it with gcc and run it on Linux, it prints 0.2.

The compilers — actually, their run time libraries — are using different rules to break decimal rounding ties. The two-digit number 0.25, which has an exact binary floating-point representation, is equally near two one-digit decimal numbers: 0.2 and 0.3; either is an acceptable answer. Visual C++ uses the round-half-away-from-zero rule, and gcc (actually, glibc) uses the round-half-to-even rule, also known as bankers’ rounding.

This inconsistency of printed output is not limited to C — it spans many programming environments. In all, I tested fixed-format printing in nineteen environments: in thirteen of them, round-half-away-from-zero was used; in the remaining six, round-half-to-even was used. I also discovered an anomaly in some environments: numbers like 0.15 — which look like halfway cases but are actually not when viewed in binary — may be rounded incorrectly. I’ll report my results in this article.

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Hexadecimal Floating-Point Constants

Hexadecimal floating-point constants, also known as hexadecimal floating-point literals, are an alternative way to represent floating-point numbers in a computer program. A hexadecimal floating-point constant is shorthand for binary scientific notation, which is an abstract — yet direct — representation of a binary floating-point number. As such, hexadecimal floating-point constants have exact representations in binary floating-point, unlike decimal floating-point constants, which in general do not.

Hexadecimal floating-point constants are useful for two reasons: they bypass decimal to floating-point conversions, which are sometimes done incorrectly, and they bypass floating-point to decimal conversions which, even if done correctly, are often limited to a fixed number of decimal digits. In short, their advantage is that they allow for direct control of floating-point variables, letting you read and write their exact contents.

In this article, I’ll show you what hexadecimal floating-point constants look like, and how to use them in C.

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