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Floating-point arithmetic and Z-buffering

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

Difference between Floating-point arithmetic and Z-buffering

Floating-point arithmetic vs. Z-buffering

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. In computer graphics, z-buffering, also known as depth buffering, is the management of image depth coordinates in 3D graphics, usually done in hardware, sometimes in software.

Similarities between Floating-point arithmetic and Z-buffering

Floating-point arithmetic and Z-buffering have 2 things in common (in Unionpedia): Accuracy and precision, Fixed-point arithmetic.

Accuracy and precision

Precision is a description of random errors, a measure of statistical variability.

Accuracy and precision and Floating-point arithmetic · Accuracy and precision and Z-buffering · See more »

Fixed-point arithmetic

In computing, a fixed-point number representation is a real data type for a number that has a fixed number of digits after (and sometimes also before) the radix point (after the decimal point '.' in English decimal notation).

Fixed-point arithmetic and Floating-point arithmetic · Fixed-point arithmetic and Z-buffering · See more »

The list above answers the following questions

Floating-point arithmetic and Z-buffering Comparison

Floating-point arithmetic has 183 relations, while Z-buffering has 45. As they have in common 2, the Jaccard index is 0.88% = 2 / (183 + 45).

References

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

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