Document revision date: 19 July 1999 | |
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This glossary defines mathematical terms and symbolic names used in this manual.
complex number: See F_COMPLEX.
denormalized number: A floating-point number with a
value very close to zero.
domain error: An exception condition resulting from
passing an argument whose value is outside the range of permissible
values.
exceptional argument: Any argument value passed to a
DPML routine that does not return a meaningful result, or an argument
defined differently for different platforms.
F_COMPLEX: A complex number identifier. F_COMPLEX
indicates that a given routine returns two different values of the same
floating-point data type. See Table 1-2 for more information.
F_TYPE: A floating-point number identifier. F_TYPE is
used when it is not necessary to distinguish between the floating
types. See Table 1-1 for more information.
floating-point number: See F_TYPE.
HUGE_RESULT: For VAX data types, HUGE_RESULT = max_float.
For IEEE data types, HUGE_RESULT = infinity.
INV_RESULT: For VAX data types, INV_RESULT = 0.
For IEEE data types, INV_RESULT = NaN.
invalid argument: See domain error.
max_float: The largest finite number representable in
the floating-point data types. See Appendix A for more information
on max_float values.
min_float: The smallest positive normalized nonzero
number representable in the floating-point data types. See
Appendix A for more information on min_float values.
NaN: A floating-point value that is said to be
"not a number" and contains an indeterminate quantity.
overflow: An exception condition caused by passing a
floating-point value that is larger than the highest valid
floating-point value. See max_float for additional information.
range error: An exception condition that occurs when a
mathematically valid argument results in a function value that exceeds
the range of representable values for floating-point data types.
underflow: An exception condition caused by passing a floating-point value that is lower than the lowest valid floating-point value. See min_float for additional information.
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