Le 02/10/2018 à 21:02, Heinz Nabielek a écrit :
On 02.10.2018, at 20:31, Samuel Gougeon <sgoug...@free.fr> wrote:Le 02/10/2018 à 18:37, Adelson Oliveira a écrit :Hi,In scilab 6.1, I've noticed that the array [8.9:0.2:9.9] does contain 8.9 and 9.9, but the array, [-5.1:0.2:5.1] does not contain the last element 5.1! find([-5.1:0.2:5.1] == 5.1) = [] Why is that? Isn't it a bug?We have --> a = -5.1:0.2:5.1; --> delta = a($)+0.2-5.1 delta = 8.882D-16 --> delta/5.1/%eps ans = 0.7843137 So, computing the next value leads to 5.1 but with an excess within the epsilon machine. Because of this excess, this last value is not included in the output set. I am wondering whether we could detect this kind of edge effects, and manage them more softly. SamuelUNDERSTOOD. But what is a safe way to plot histograms like histplot(a:b:c, X) where X is a one-dimensional array?
histplot(linspace(a, c, round((c-a)/b), X)
or
histplot(a:b:nearfloat("succ",c), X)
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