CACrown ArchivesHistory · sources · collections
Menu
Research dossier · General Reference

Floating-point arithmetic

computer format for representing rational numbers

Cross-disciplinary reference desk with index cards, atlas, dictionary and catalogue
General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 14, 2026
Entity authorityQ117879
Source-derived summary

In computing, floating-point arithmetic (FP) is arithmetic on subsets of real numbers formed by a significand (a signed sequence of a fixed number of digits in some base) multiplied by an integer power of that base.

Numbers of this form are called floating-point numbers.

For example, the number 2469/200 is a floating-point number in base ten with five digits:

2469

/

200

=

12.345

=

12345

significand

×

10

base

3

exponent

{\displaystyle 2469/200=12.345=\!\underbrace {12345} _{\text{significand}}\!\times \!\underbrace {10} _{\text{base}}\!\!\!\!\!\!\!\overbrace {{}^{-3}} ^{\text{exponent}}}

However, 7716/625 = 12.3456 is not a floating-point number in base ten with five digits—it needs six digits.

The nearest floating-point number with only five digits is 12.346.

And 1/3 = 0.3333… is not a floating-point number in base ten with any finite number of digits.

In practice, most floating-point systems use base two, though base ten (decimal floating point) is also common.

Floating-point arithmetic operations, such as addition and division, approximate the corresponding real number arithmetic operations by rounding any result that is not a floating-point number itself to a nearby floating-point number.

For example, in a floating-point arithmetic with five base-ten digits, the sum 12.345 + 1.0001 = 13.3451 might be rounded to 13.345.

The term floating point refers to the fact that the number's radix point can "float" anywhere to the left, right, or between the significant digits of the number. This position is indicated by the exponent, so floating point can be considered a form of scientific notation.

Editorial summary

“Floating-point arithmetic” enters the record as computer format for representing rational numbers. Crown Archives preserves that source wording while asking what Floating-point, arithmetic and computer can confirm, complicate or overturn.

Editorial reviewA practical starting point whose main value is the path it opens into stronger specialist and primary sources. The current 247-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. Its strongest next move is a source search built around Floating-point, arithmetic and computer.
Editorial analysis

Why this record matters

“Floating-point arithmetic” is worth following because a concise public description often conceals a longer documentary argument. Here, Floating-point, arithmetic and computer provides the most credible route into that argument.

Evidence profile

Vocabulary and entity names are the principal evidence signals here, because they determine the precision of every later search. The source revision retrieved here is dated Sep 14, 2026. The linked authority identifier is Q117879. None of the 0 selected statements returned an explicit reference.

Critical limits

A concise general-reference account can conceal disagreements about scope, terminology or the weight assigned to individual sources. The source lead contains qualifying language; that uncertainty should survive quotation, summary and reuse. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

Best used for
  • Subject orientation
  • Search vocabulary
  • Locating named sources
Verify next

The closest primary source, responsible institution and strongest cited specialist reference.

Three-step research path

  1. Establish the record: confirm the title “Floating-point arithmetic”, its source revision and the description used here.
  2. Expand the search: follow Floating-point arithmetic primary sources, Floating-point arithmetic archive and Floating-point research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Floating-point arithmetic”?
  2. Which cited source is closest to the event, object or claim?
  3. Which institution is responsible for the underlying evidence?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Floating-point arithmetic” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.