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Fast inverse square root and Floating-point arithmetic

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

Difference between Fast inverse square root and Floating-point arithmetic

Fast inverse square root vs. Floating-point arithmetic

Fast inverse square root, sometimes referred to as Fast InvSqrt() or by the hexadecimal constant 0x5F3759DF, is an algorithm that estimates, the reciprocal (or multiplicative inverse) of the square root of a 32-bit floating-point number in IEEE 754 floating-point format. 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.

Similarities between Fast inverse square root and Floating-point arithmetic

Fast inverse square root and Floating-point arithmetic have 9 things in common (in Unionpedia): Approximation error, Cambridge University Press, Derivative, Exponent bias, Hexadecimal, Institute of Electrical and Electronics Engineers, Square root, William Kahan, Zero of a function.

Approximation error

The approximation error in some data is the discrepancy between an exact value and some approximation to it.

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Cambridge University Press

Cambridge University Press (CUP) is the publishing business of the University of Cambridge.

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Derivative

The derivative of a function of a real variable measures the sensitivity to change of the function value (output value) with respect to a change in its argument (input value).

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Exponent bias

In IEEE 754 floating point numbers, the exponent is biased in the engineering sense of the word – the value stored is offset from the actual value by the exponent bias.

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Hexadecimal

In mathematics and computing, hexadecimal (also base, or hex) is a positional numeral system with a radix, or base, of 16.

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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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Square root

In mathematics, a square root of a number a is a number y such that; in other words, a number y whose square (the result of multiplying the number by itself, or) is a. For example, 4 and −4 are square roots of 16 because.

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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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Zero of a function

In mathematics, a zero, also sometimes called a root, of a real-, complex- or generally vector-valued function f is a member x of the domain of f such that f(x) vanishes at x; that is, x is a solution of the equation f(x).

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The list above answers the following questions

Fast inverse square root and Floating-point arithmetic Comparison

Fast inverse square root has 65 relations, while Floating-point arithmetic has 183. As they have in common 9, the Jaccard index is 3.63% = 9 / (65 + 183).

References

This article shows the relationship between Fast inverse square root and Floating-point arithmetic. To access each article from which the information was extracted, please visit:

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