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Floating-point arithmetic and IEEE 754 revision

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Floating-point arithmetic and IEEE 754 revision

Floating-point arithmetic vs. IEEE 754 revision

In computing, floating-point arithmetic is arithmetic using formulaic representation of real numbers as an approximation so as to support a trade-off between range and precision. IEEE 754-2008 (previously known as IEEE 754r) was published in August 2008 and is a significant revision to, and replaces, the IEEE 754-1985 floating point standard.

Similarities between Floating-point arithmetic and IEEE 754 revision

Floating-point arithmetic and IEEE 754 revision have 11 things in common (in Unionpedia): Binary number, Binary-coded decimal, C Sharp (programming language), Denormal number, Half-precision floating-point format, Infinity, NaN, Python (programming language), Quadruple-precision floating-point format, Signed zero, William Kahan.

Binary number

In mathematics and digital electronics, a binary number is a number expressed in the base-2 numeral system or binary numeral system, which uses only two symbols: typically 0 (zero) and 1 (one).

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Binary-coded decimal

In computing and electronic systems, binary-coded decimal (BCD) is a class of binary encodings of decimal numbers where each decimal digit is represented by a fixed number of bits, usually four or eight.

Binary-coded decimal and Floating-point arithmetic · Binary-coded decimal and IEEE 754 revision · See more »

C Sharp (programming language)

C# (/si: ʃɑːrp/) is a multi-paradigm programming language encompassing strong typing, imperative, declarative, functional, generic, object-oriented (class-based), and component-oriented programming disciplines.

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Denormal number

In computer science, denormal numbers or denormalized numbers (now often called subnormal numbers) fill the underflow gap around zero in floating-point arithmetic.

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Half-precision floating-point format

In computing, half precision is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory.

Floating-point arithmetic and Half-precision floating-point format · Half-precision floating-point format and IEEE 754 revision · See more »

Infinity

Infinity (symbol) is a concept describing something without any bound or larger than any natural number.

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NaN

In computing, NaN, standing for not a number, is a numeric data type value representing an undefined or unrepresentable value, especially in floating-point calculations.

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Python (programming language)

Python is an interpreted high-level programming language for general-purpose programming.

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Quadruple-precision floating-point format

In computing, quadruple precision (or quad precision) is a binary floating-point-based computer number format that occupies 16 bytes (128 bits) in with precision more than twice the 53-bit double precision.

Floating-point arithmetic and Quadruple-precision floating-point format · IEEE 754 revision and Quadruple-precision floating-point format · See more »

Signed zero

Signed zero is zero with an associated sign.

Floating-point arithmetic and Signed zero · IEEE 754 revision and Signed zero · See more »

William Kahan

William "Velvel" Morton Kahan (born June 5, 1933) is a Canadian mathematician and computer scientist who received the Turing Award in 1989 for "his fundamental contributions to numerical analysis", was named an ACM Fellow in 1994, and inducted into the National Academy of Engineering in 2005.

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The list above answers the following questions

Floating-point arithmetic and IEEE 754 revision Comparison

Floating-point arithmetic has 183 relations, while IEEE 754 revision has 25. As they have in common 11, the Jaccard index is 5.29% = 11 / (183 + 25).

References

This article shows the relationship between Floating-point arithmetic and IEEE 754 revision. To access each article from which the information was extracted, please visit:

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