mf_epsilon.hlp
来自「是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到」· HLP 代码 · 共 75 行
HLP
75 行
{smcl}
{* 09feb2005}{...}
{cmd:help mata epsilon()}
{hline}
{* index epsilon()}{...}
{* index roundoff error}{...}
{* index machine precision}{...}
{title:Title}
{p 4 8 2}
{bf:[M-5] epsilon() -- unit roundoff error (machine precision)}
{title:Syntax}
{p 8 12 2}
{it:real scalar}
{cmd:epsilon(}{it:real scalar x}{cmd:)}
{title:Description}
{p 4 4 2}
{cmd:epsilon(}{it:x}{cmd:)} returns the unit roundoff error in quantities
of size {cmd:abs(}{it:x}{cmd:)}.
{title:Remarks}
{p 4 4 2}
On all computers on which Stata and Mata are currently implemented --
which are computers following IEEE standards --
{cmd:epsilon(1)} is 1.0X-34, or about 2.22045e-16.
This is the smallest amount by which a real number can differ from 1.
{p 4 4 2}
{cmd:epsilon(}{it:x}{cmd:)} is {cmd:abs(}{it:x}{cmd:)}{cmd:*epsilon(1)}.
This is an approximation of
the smallest amount by which a real number can differ from
{it:x}. The approximation is exact at integer powers of 2.
{title:Conformability}
{cmd:epsilon(}{it:x}{cmd:)}:
{it:x}: 1 {it:x} 1
{it:result}: 1 {it:x} 1
{title:Diagnostics}
{p 4 4 2}
{cmd:epsilon(}{it:x}{cmd:)}
returns missing if {it:x} is missing.
{title:Source code}
{p 4 4 2}
Function is built-in.
{title:Also see}
{p 4 13 2}
Manual: {hi:[M-5] epsilon()}
{p 4 13 2}
Online: help for
{bf:{help mf_mindouble:[M-5] mindouble()}},
{bf:{help mf_edittozero:[M-5] edittozero()}};
{bf:{help m4_utility:[M-4] utility}}
{p_end}
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