Live briefing
Everything about Floating-point error mitigation
Strategies to make sure approximate calculations stay close to accurate
Floating-point error mitigation is the minimization of errors caused by the fact that real numbers cannot, in general, be accurately represented in a fixed space. By definition, floating-point error cannot be eliminated, and, at best, can only be managed. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Floating-point error mitigationA 5-minute orientation
- Pick up a classic book: Treaty Occupationay ToxicologyThe most-reprinted book on the subject
- Go sideways: Unum (number format)A closely related topic
- Go sideways: Floating-point arithmeticA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
- No matching papers found.
đź“š Books worth reading
Treaty Occupationay ToxicologySuelen Queiroz · 2010
The Human Planet · 2009
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Unum (number format) Unums (universal numbers) are a family of number formats and arithmetic for implementing real numbers on a computer, proposed by John L. Gustafson in 2015…
- Floating-point arithmetic 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…
- Extended precision Extended precision refers to floating-point number formats that provide greater precision than the basic floating-point formats. Extended-precision formats…
- IEEE 754 The IEEE Standard for Floating-Point Arithmetic (IEEE 754) is a technical standard for floating-point arithmetic originally established in 1985 by the…
- Quadruple-precision floating-point format In computing, quadruple precision (or quad precision) is a binary floating-point–based computer number format that occupies 16 bytes (128 bits) with precision…
- Decimal floating point Decimal floating-point (DFP) arithmetic refers to both a representation and operations on decimal floating-point numbers. Working directly with decimal…
- Round-off error In computing, a roundoff error, also called rounding error, is the difference between the result produced by a given algorithm using exact arithmetic and…
- Machine epsilon Machine epsilon or machine precision is an upper bound on the relative approximation error due to rounding in floating point number systems. This value…