floating-point numbers

Stores an ordered pair of floating-point numbers, typically the width and height of a rectangle.

When you work with floating-point numbers, keep in mind that they do not always have a precise representation in memory.

The non-ordered nature of NaN adds further opportunities for error when comparing floating point numbers.

Floating-point numbers for which the first bit of the mantissa is one are normalized.

When the range of data is great and requiring high precision, it is usually adopted floating-point numbers.

Stores a set of four floating-point numbers that represent the location and size of a rectangle.

For floating-point numbers, you place a decimal as the separator between the whole part of the number and the fraction.

So never trust floating number results to the last digit and never compare floating point numbers for equality.

Although the code example rounds decimal numbers, the Round method rounds double-precision floating-point numbers in a similar way.

Compares two single-precision floating point numbers for equality and, if they are equal, replaces one of the values.

Compares two double-precision floating point numbers for equality and, if they are equal, replaces one of the values.

On a single line, print three space-separated floating point numbers, each with a single decimal place .

The distances used in the Z-Buffer are not linear due to the way floating point numbers are encoded on computers.

Note that since floating-point numbers have limited precision, calculations involving them can accumulate small rounding errors.

Supported variables include integers, floating point numbers, strings, arrays, and objects.

Returns the smaller of two single-precision floating-point numbers.

Returns the smaller of two double-precision floating-point numbers.

Returns the larger of two double-precision floating-point numbers.

Returns the larger of two single-precision floating-point numbers.

Assembly language provided an abstraction over single bits to integers and floating-point numbers.

For columns of data it is common practice to right justify integers , decimal align floating point numbers, and left justify strings.

SQL does not support the modulus operator on floating-point numbers.

The fundamental types are characters, and integers and floating point numbers of several sizes.

Conversions from floating-point numbers to integer values truncate the number toward zero.

You can also use a fixed-precision decimal type, or cast floating-point numbers to a fixed-precision decimal type before you work with them.

Floating point numbers are not exact, and manipulating them will result in rounding errors.

In IEEE 754 floating point numbers, negative zero is represented by the exponent and mantissa being zero and the sign bit being one.

You can pad both integer and floating-point numbers with leading zeros by using a custom numeric format string.

In Part 2, I'll explore the functions more designed for operating on floating point numbers as opposed to abstract real numbers.

In Listing 2, I reopen the Numeric class (which handles both fixed and floating-point numbers) to add the gram and pound methods.

Two apparently equivalent floating- point numbers might not compare equal because of differences in their least significant digits .

They don't distinguish between integer and floating point numbers. Variables are typeless.

Other ranges can be used, but in my experience floating point numbers work best.

One obvious coordinate representation is IEEE 32-bit floating point numbers.

There are differences in the definition of floating-point numbers and long variable types.

Floating point numbers are best reserved for values such as measurements, whose values are fundamentally inexact to begin with.

Excel follows the IEEE 754 specification on how to store and calculate floating-point numbers.

Lets say you have a buffer which only contains vertex positions, so it only contains sets of 3 floating point numbers per vertex.

If you create a custom algorithm that determines whether two floating-point numbers can be considered equal, you can use the

Rounding error study of calculator floating-point numbers arithmetic operation

A bug in the PHP scripting language could crash Web servers with large floating point numbers

Signed double precision floating point numbers

Why Floating-Point Numbers May Lose Precision

Don't use floating point numbers for exact values

A Quick Sort Method Based on the Machine Code of Floating Point Numbers