floating-point representation system Antonyms
No Synonyms and anytonyms found
Meaning of floating-point representation system
floating-point representation system (n)
a radix numeration system in which the location of the decimal point is indicated by an exponent of the radix; in the floating-point representation system, 0.0012 is represented as 0.12-2 where -2 is the exponent
floating-point representation system Sentence Examples
- Floating-point representation systems are used to efficiently represent real numbers in computers.
- The IEEE 754 standard defines the most widely used floating-point representation system.
- Floating-point numbers consist of three parts: the sign, the exponent, and the significand.
- The precision of a floating-point number is determined by the number of bits used to represent the significand.
- Floating-point arithmetic is performed using a combination of addition, subtraction, multiplication, and division operations.
- The accuracy of floating-point calculations is limited by the precision of the representation system.
- Underflow occurs when the magnitude of a floating-point number is too small to be represented accurately.
- Overflow occurs when the magnitude of a floating-point number is too large to be represented accurately.
- Denormalized numbers are used to represent very small floating-point numbers that would otherwise underflow.
- Floating-point representation systems are essential for scientific computing, financial applications, and image processing.
FAQs About the word floating-point representation system
a radix numeration system in which the location of the decimal point is indicated by an exponent of the radix; in the floating-point representation system, 0.00
No synonyms found.
No antonyms found.
Floating-point representation systems are used to efficiently represent real numbers in computers.
The IEEE 754 standard defines the most widely used floating-point representation system.
Floating-point numbers consist of three parts: the sign, the exponent, and the significand.
The precision of a floating-point number is determined by the number of bits used to represent the significand.
