We combute h_i th number to elements in the i-th equidistant subdivision of the interval [min L, max L] into n parts
i1 : M=(randomChainComplex({20,20},{20},ZeroMean=>true)).dd_1;
40 40
o1 : Matrix ZZ <--- ZZ
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i2 : (svds,U,Vt)=SVD(M**RR_53); |
i3 : (entries matrix {svds})_0/log
o3 = {6.37106, 6.31472, 6.27245, 6.10348, 6.02102, 5.98252, 5.92934, 5.83927,
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5.72509, 5.63923, 5.51957, 5.51441, 5.45378, 5.3237, 5.14787, 5.11063,
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4.80679, 4.71988, 4.56427, 3.9834, -28.9278, -29.882, -29.9428,
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-30.1491, -30.2498, -30.359, -30.5514, -30.7528, -30.8016, -30.8016,
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-30.8016, -30.8016, -30.8016, -30.8016, -30.8016, -30.8016, -30.8016,
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-30.8221, -31.4002, -32.7696}
o3 : List
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i4 : maximalEntry M o4 = 138 o4 : RR (of precision 53) |
i5 : histogram(svds/log,10)
o5 = {20, 0, 0, 0, 0, 0, 0, 0, 0, 20}
o5 : List
|
i6 : histogram(svds_{0..19}/log,10)
o6 = {1, 0, 1, 2, 2, 1, 4, 2, 4, 3}
o6 : List
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i7 : histogram(svds_{20..39}/log,10)
o7 = {1, 0, 0, 1, 0, 12, 3, 2, 0, 1}
o7 : List
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The object histogram is a method function.