Examples of 'floating-point numbers' in a sentence
Meaning of "floating-point numbers"
Floating-point numbers are a type of numerical representation used in computer programming and mathematics. They can represent a wide range of real numbers (both integers and fractions) by using a combination of a sign, a significand, and an exponent. Unlike fixed-point numbers, which have a fixed number of digits after the decimal point, floating-point numbers allow for greater precision and dynamic range
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- plural of floating-point number
How to use "floating-point numbers" in a sentence
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floating-point numbers
Floating-point numbers are an approximate representation of real numbers.
Let x and y be positive normalized floating-point numbers.
Floating-point numbers can represent numbers with fractions.
In particular, we are interested in programs that manipulate floating-point numbers.
Floating-point numbers are intended for efficient scientific computation.
Most programmers represent floating-point numbers with type double.
Floating-point numbers are converted to integers before the arithmetic operations are performed.
Initially, computers used many different representations for floating-point numbers.
Floating-point numbers are useful for representing numbers that are not integral.
We introduce a new method for solving constraints over floating-point numbers.
The precision used for converting floating-point numbers to strings number of decimal digits.
There were no instructions for integer multiplication or division, or operations for floating-point numbers.
If we want to we can also assign floating-point numbers using the standard exponential notation.
Biased representations are now primarily used for the exponent of floating-point numbers.
Floating-point numbers can represent a much larger range of numbers with the same number of bits.
See also
This link goes to hm, some extra examples of using floating-point numbers and integers.
Floating-point types Floating-point numbers are numbers that have fractional parts.
The input and output instructions would be read or written as floating-point numbers.
Integers and floating-point numbers.
It also defines other limits that are relevant to the processing of floating-point numbers.
The functions in this module accept integers, floating-point numbers or complex numbers as arguments.
Describes issues that developers frequently encounter when working with floating-point numbers.
Multiplication The multiplication of two floating-point numbers may be performed in two steps.
Floating-point numbers in Python are double-precision reals.
Samples in digital audio are recorded as integers or floating-point numbers stored in digital memory.
Python 's built-in floating-point numbers use the underlying double representation.
A Python data type which stores floating-point numbers.
Abstract, Floating-point numbers represent only a subset of real numbers.
Numerical values in Tableau can be either integers or floating-point numbers.
Floating-point numbers are only supported for base 10.
Floating-point instructions for arithmetic on floating-point numbers.
The IEEE 32-bit floating-point numbers belong to the data type called REAL.
The data is represented as time-stamped floating-point numbers.
In the decimal system, we are familiar with floating-point numbers of the form ( scientific notation ),.
Variables of type double represent double-precision floating-point numbers.
Create a vector < float > and put 25 floating-point numbers into it using a for loop.
Instead, they work with finite-precision approximations called floating-point numbers.
To demonstrate this claim, the sum-of-product of floating-point numbers is used as a case study.
The encoding used is the IEEE standard for normalized single-precision floating-point numbers [ IEEE ].
The WPF coordinate system is measured with double-precision floating-point numbers rather than single-precision.
Gcc actually can do this optimization, even for floating-point numbers.
Additionally, remainder ( % ) calculations can be performed on floating-point numbers.
Fmax, fmaxf, fmaxl - determine maximum of two floating-point numbers.
Fmln, fminf, fminl - determine minimum of two floating-point numbers.
The IEEE standardized the computer representation for binary floating-point numbers in IEEE 754 a.k.a.
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And fills our numbers with warriors
The numbers are even more compelling here
Examples of using Floating-point
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Assume floating-point operations can trap
The argument should be a floating-point value
Floating-point literals are double values by default
