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std::numeric_limits::has_denorm_loss

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std::numeric_limits
 
static const bool has_denorm_loss
(bis C + +11)
static constexpr bool has_denorm_loss
(seit C++11)
Der Wert der std::numeric_limits<T>::has_denorm_loss ist true für alle Floating-Point-Typen T geeignet sind, Verlust von Präzision durch Denormalisierung von anderen Ursachen einer ungenauen Ergebnis .
Original:
The value of std::numeric_limits<T>::has_denorm_loss is true for all floating-point types T capable of distinguishing loss of precision due to denormalization from other causes of inexact result.
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Inhaltsverzeichnis

[Bearbeiten] Standard Spezialisierungen

T
Wert std::numeric_limits<T>::has_denorm_loss
Original:
value of std::numeric_limits<T>::has_denorm_loss
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/* non-specialized */ false
bool false
char false
signed char false
unsigned char false
wchar_t false
char16_t false
char32_t false
short false
unsigned short false
int false
unsigned int false
long false
unsigned long false
long long false
unsigned long long false
float
Implementierung definiert
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implementation-defined
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double
Implementierung definiert
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implementation-defined
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long double
Implementierung definiert
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implementation-defined
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[Bearbeiten] Notes

Standard-konformen IEE 754 Floating-Point-Implementierungen können die Gleitkommaunterlauf an drei vordefinierten Momente erkennen:
Original:
Standard-compliant IEE 754 floating-point implementations may detect the floating-point underflow at three predefined moments:
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1)
nach der Berechnung eines Ergebnisses mit absoluter Wert kleiner als std::numeric_limits<T>::min(), erkennt diese Umsetzung tinyness vor dem Runden .
Original:
after computation of a result with absolute value smaller than std::numeric_limits<T>::min(), such implementation detects tinyness before rounding.
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2)
nach dem Runden des Ergebnisses auf std::numeric_limits<T>::digits Bits, wenn das Ergebnis kleiner, erkennt diese Umsetzung nach dem Runden tinyness .
Original:
after rounding of the result to std::numeric_limits<T>::digits bits, if the result is tiny, such implementation detects tinyness after rounding.
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3)
wenn die Umwandlung des abgerundeten winzigen Ergebnis subnormale Form in Folge des Verlusts an Genauigkeit detektiert diese Umsetzung denorm Verlust .
Original:
if the conversion of the rounded tiny result to subnormal form resulted in the loss of precision, such implementation detects denorm loss.
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[Bearbeiten] Beispiel

[Bearbeiten] Siehe auch

identifiziert Floating-Point-Typen, die tinyness erkennen, bevor Rundungen
Original:
identifies floating-point types that detect tinyness before rounding
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(public static Mitglied konstanten) [edit]
[statisch]
identifiziert die Denormalisierung Stil durch den Floating-Point-Typ verwendet
Original:
identifies the denormalization style used by the floating-point type
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(public static Mitglied konstanten) [edit]