Booth's multiplication algorithm and Floating-point arithmetic

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

Difference between Booth's multiplication algorithm and Floating-point arithmetic

Booth's multiplication algorithm vs. Floating-point arithmetic

Booth's multiplication algorithm is a multiplication algorithm that multiplies two signed binary numbers in two's complement notation. 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 Booth's multiplication algorithm and Floating-point arithmetic

Booth's multiplication algorithm and Floating-point arithmetic have 3 things in common (in Unionpedia): Binary number, Bit, Two's complement.

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).

Binary number and Booth's multiplication algorithm · Binary number and Floating-point arithmetic · See more »

Bit

The bit (a portmanteau of binary digit) is a basic unit of information used in computing and digital communications.

Bit and Booth's multiplication algorithm · Bit and Floating-point arithmetic · See more »

Two's complement

Two's complement is a mathematical operation on binary numbers, best known for its role in computing as a method of signed number representation.

Booth's multiplication algorithm and Two's complement · Floating-point arithmetic and Two's complement · See more »

The list above answers the following questions

What Booth's multiplication algorithm and Floating-point arithmetic have in common
What are the similarities between Booth's multiplication algorithm and Floating-point arithmetic

Booth's multiplication algorithm and Floating-point arithmetic Comparison

Booth's multiplication algorithm has 16 relations, while Floating-point arithmetic has 183. As they have in common 3, the Jaccard index is 1.51% = 3 / (16 + 183).

References

This article shows the relationship between Booth's multiplication algorithm and Floating-point arithmetic. To access each article from which the information was extracted, please visit:

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