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Decimal128 floating-point format and Decimal64 floating-point format

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

Difference between Decimal128 floating-point format and Decimal64 floating-point format

Decimal128 floating-point format vs. Decimal64 floating-point format

In computing, decimal128 is a decimal floating-point computer numbering format that occupies 16 bytes (128 bits) in computer memory. In computing, decimal64 is a decimal floating-point computer numbering format that occupies 8 bytes (64 bits) in computer memory.

Similarities between Decimal128 floating-point format and Decimal64 floating-point format

Decimal128 floating-point format and Decimal64 floating-point format have 21 things in common (in Unionpedia): Binary Integer Decimal, Birkhäuser, Computer number format, Computing, Decimal32 floating-point format, Denormal number, Densely packed decimal, Exponentiation, Floating-point arithmetic, IEEE 754, IEEE 754 revision, Infinity, Institute of Electrical and Electronics Engineers, ISO/IEC 10967, NaN, Numerical digit, Primitive data type, Signed zero, Significand, Significant figures, Units of information.

Binary Integer Decimal

The IEEE 754-2008 standard includes an encoding format for decimal floating point numbers in which the significand and the exponent (and the payloads of NaNs) can be encoded in two ways, referred to in the draft as binary encoding and decimal encoding.

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Birkhäuser

Birkhäuser is a former Swiss publisher founded in 1879 by Emil Birkhäuser.

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Computer number format

A computer number format is the internal representation of numeric values in digital computer and calculator hardware and software.

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Computing

Computing is any goal-oriented activity requiring, benefiting from, or creating computers.

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Decimal32 floating-point format

In computing, decimal32 is a decimal floating-point computer numbering format that occupies 4 bytes (32 bits) in computer memory.

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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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Densely packed decimal

Densely packed decimal (DPD) is an efficient method for binary encoding decimal digits.

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Exponentiation

Exponentiation is a mathematical operation, written as, involving two numbers, the base and the exponent.

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Floating-point arithmetic

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.

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IEEE 754

The IEEE Standard for Floating-Point Arithmetic (IEEE 754) is a technical standard for floating-point computation established in 1985 by the Institute of Electrical and Electronics Engineers (IEEE).

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IEEE 754 revision

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.

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Infinity

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

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Institute of Electrical and Electronics Engineers

The Institute of Electrical and Electronics Engineers (IEEE) is a professional association with its corporate office in New York City and its operations center in Piscataway, New Jersey.

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ISO/IEC 10967

ISO/IEC 10967, Language independent arithmetic (LIA), is a series of standards on computer arithmetic.

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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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Numerical digit

A numerical digit is a single symbol (such as "2" or "5") used alone, or in combinations (such as "25"), to represent numbers (such as the number 25) according to some positional numeral systems.

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Primitive data type

In computer science, primitive data type is either of the following.

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Signed zero

Signed zero is zero with an associated sign.

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Significand

The significand (also mantissa or coefficient) is part of a number in scientific notation or a floating-point number, consisting of its significant digits.

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Significant figures

The significant figures (also known as the significant digits) of a number are digits that carry meaning contributing to its measurement resolution.

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Units of information

In computing and telecommunications, a unit of information is the capacity of some standard data storage system or communication channel, used to measure the capacities of other systems and channels.

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The list above answers the following questions

Decimal128 floating-point format and Decimal64 floating-point format Comparison

Decimal128 floating-point format has 22 relations, while Decimal64 floating-point format has 24. As they have in common 21, the Jaccard index is 45.65% = 21 / (22 + 24).

References

This article shows the relationship between Decimal128 floating-point format and Decimal64 floating-point format. To access each article from which the information was extracted, please visit:

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