Developer Guide and Reference


Special Values

This is a list and a brief description of the special values that the
Intel® oneAPI

Signed Zero

The sign of zero is the same as the sign of a nonzero number. Comparisons consider +0 to be equal to -0. A signed zero is useful in certain numerical analysis algorithms, but in most applications the sign of zero is invisible.

Denormalized Numbers

Denormalized numbers (denormals) fill the gap between the smallest positive and the smallest negative normalized number, otherwise only (+/-) 0 occurs in the interval. Denormalized numbers extend the range of computable results by allowing for gradual underflow.
This content is specific to C++; it does not apply to
Systems based on the IA-32 architecture support a Denormal Operand status flag. When this is set, at least one of the input operands to a floating-point operation is a denormal. The Underflow status flag is set when a number loses precision and becomes a denormal.

Signed Infinity

Infinities are the result of arithmetic in the limiting case of operands with arbitrarily large magnitude. They provide a way to continue when an overflow occurs. The sign of an infinity is simply the sign you obtain for a finite number in the same operation as the finite number approaches an infinite value.
By retrieving the status flags, you can differentiate between an infinity that results from an overflow and one that results from division by zero. The compiler treats infinity as signed by default. The output value of infinity is +Infinity or -Infinity.

Not a Number

Not a Number (NaN) may result from an invalid operation. For example,
result in NaN. In general, an operation involving a NaN produces another NaN. Because the fraction of a NaN is unspecified, there are many possible NaNs
The compiler treats all NaNs identically, but there are two classes of NaNs:
  • Signaling NaNs: Have an initial mantissa bit of 0. They usually raise an invalid exception when used in an operation.
  • Quiet NaNs: Have an initial mantissa bit of 1.
The floating-point hardware usually converts a signaling NaN into a quiet NaN during computational operations. An invalid exception is raised and the resulting floating-point value is a quiet NaN.

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