Skip to main content

numerics - Machine Epsilon


I'm trying to evaluate the machine epsilon of my computer (see below). I wrote this:


eps = 1.0;
p = 0;
While[(1.0 + eps) > 1.0, eps = eps/2.0; p += 1];
eps
p

eps*2

and got:


1.42109*10^-14
46
2.84217*10^-14

which is not what I expected (IEEE754). So I did this


EngineeringForm[1.0 + 2 * eps, 20]
EngineeringForm[1.0 + eps, 20]

EngineeringForm[1.0 + (eps/2.0), 20]
EngineeringForm[1.0 + (eps/4.0), 20]
EngineeringForm[1.0 + (eps/16.0), 20]
EngineeringForm[1.0 + (eps/32.0), 20]

and got that:


1.000000000000028
1.000000000000014
1.000000000000007
1.000000000000004

1.000000000000001
1.

which seems to contradict the termination condition of the 'while' loop. So I would like to understand what's going on under Mathematica's hood. I tried to look for some information on Mathematica's internal float representation without success. Any help to explain these results is welcome. I'm sorry if my question is a bit vague.


Eric


Context:


SystemInformationData[{"Kernel" ->
{"Version" -> "9.0 for Mac OS X x86 (64-bit) (January 24, 2013)",
"ReleaseID" -> "9.0.1.0 (4055646, 4055073)", ...}]


EDIT


It was suggested the following program that works directly for some reason:


eps = 1.0;
n = 0;
While[(1.0 + eps) - 1.0 > 0.0,
eps = eps/2;
n++;
];
eps*2
n

Log[2, eps*2]

Answer



There is a tolerance Internal`$EqualTolerance that is applied when testing Real numbers. If the numbers agree up to the last Internal`$EqualTolerance digits, then they are treated as equal. Try this:


eps = 1.0;
p = 0;
Block[{Internal`$EqualTolerance = 0.},
While[(1.0 + eps) > 1.0, eps = eps/2.0; p += 1];
]
eps
p

eps*2
(*
1.11022*10^-16
53
2.22045*10^-16
*)

See How to make the computer consider two numbers equal up to a certain precision and also this answer by Alexey Popkov.


Comments

Popular posts from this blog

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....