About: Floating-point error mitigation

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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. Huberto M. Sierra noted in his 1956 patent "Floating Decimal Point Arithmetic Control Means for Calculator": Thus under some conditions, the major portion of the significant data digits may lie beyond the capacity of the registers. Therefore, the result obtained may have little meaning if not totally erroneous.

Attributes	Values
rdfs:label	Floating-point error mitigation (en)
rdfs:comment	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. Huberto M. Sierra noted in his 1956 patent "Floating Decimal Point Arithmetic Control Means for Calculator": Thus under some conditions, the major portion of the significant data digits may lie beyond the capacity of the registers. Therefore, the result obtained may have little meaning if not totally erroneous. (en)
dcterms:subject	Floating point Computer arithmetic Error
Wikipage page ID	56621861 (xsd:integer)
Wikipage revision ID	1121773547 (xsd:integer)
Link from a Wikipage to another Wikipage	Arbitrary-precision arithmetic Double-precision floating-point format Single-precision floating-point format Monte Carlo method Multiply–accumulate operation Supercomputer William Kahan 2Sum Floating point Error analysis (mathematics) Floating-point arithmetic Numerical analysis John L. Gustafson Quadruple-precision floating-point format Computer arithmetic Interval arithmetic Error Z1 (computer) Finance Rounding error Measurement error Konrad Zuse Unit in the last place Unum (number format) IEEE 754 Significand Petaflops dbr:Compensated_algorithm dbr:Floating-point_expansion
sameAs	Floating-point error mitigation Floating-point error mitigation
dbp:wikiPageUsesTemplate	dbt:Blockquote dbt:Reflist dbt:Rp dbt:Short_description dbt:Use_dmy_dates
cs1-dates	y (en)
date	May 2019 (en)
has abstract	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. Huberto M. Sierra noted in his 1956 patent "Floating Decimal Point Arithmetic Control Means for Calculator": Thus under some conditions, the major portion of the significant data digits may lie beyond the capacity of the registers. Therefore, the result obtained may have little meaning if not totally erroneous. The Z1, developed by Konrad Zuse in 1936, was the first computer with floating-point arithmetic and was thus susceptible to floating-point error. Early computers, however, with operation times measured in milliseconds, were incapable of solving large, complex problems and thus were seldom plagued with floating-point error. Today, however, with supercomputer system performance measured in petaflops, floating-point error is a major concern for computational problem solvers. The following sections describe the strengths and weaknesses of various means of mitigating floating-point error. (en)
prov:wasDerivedFrom	wikipedia-en:Floating-point_error_mitigation?oldid=1121773547&ns=0
page length (characters) of wiki page	10304 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Floating-point_error_mitigation
is Link from a Wikipage to another Wikipage of	Decimal data type Extended precision Floating point error mitigation Unum (number format) Significance arithmetic
is Wikipage redirect of	Floating point error mitigation
is foaf:primaryTopic of	wikipedia-en:Floating-point_error_mitigation

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