orlarey / interval-precision

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example workflow

This program allows, for a given unary function, to explore the relations between the fixed point format of the argument, taken in a given range of values, and the fixed point format of the result.

Example of analysis

Analyze the function [](I i) { return sin(i); } in the interval I(0, M_PI*2.0) with a LSB precision of -18:

auto        fun = [](I i) { return sin(i); };
std::string msg = "sin(i)";
int         lsb = -18;
I		    i(0, M_PI*2.0);
analyze(msg, fun, i, lsb, false);

The execution will produce:

TEST: lambda(i).(sin(i)); interval: [0;6.28319]; LSB: -18; truncated interval: [0;6.28319]; MSB: 3; resulting interval: [-1;1]; MSB: 1

Cases: 1647100; MSB: 1; best precision LSB: -39; very good precision LSB (0.999): -27; good precision LSB (0.99): -23

This result indicates that a LSB of -39 is required for all results to have optimal accuracy, but that with a LSB of -27, we still have 99.9% of results that have optimal accuracy.

It is also possible to ask for the histogram of the number of results per LSB precision by using analyze(msg, fun, i, lsb, true);:

LSB     NUM     RATIO 
-39     1       1
-37     1       0.999999
-36     3       0.999999
-35     4       0.999997
-34     8       0.999995
-33     16      0.99999
-32     32      0.99998
-31     64      0.999961
-30     128     0.999922
-29     256     0.999844
-28     512     0.999689
-27     1024    0.999378
-26     2048    0.998756
-25     4096    0.997513
-24     8193    0.995026
-23     16394   0.990052
-22     32842   0.980098
-21     66147   0.960159
-20     136300  0.919999
-19     330455  0.837248
-18     524286  0.63662
-17     262145  0.318311
-16     131073  0.159155
-15     65536   0.0795774
-14     32768   0.0397887
-13     16384   0.0198944
-12     8192    0.00994718
-11     4096    0.00497359
-10     2048    0.00248679
-9      1024    0.0012434
-8      512     0.000621699
-7      256     0.000310849
-6      128     0.000155425
-5      64      7.77123e-05
-4      32      3.88562e-05
-3      16      1.94281e-05
-2      8       9.71404e-06
-1      4       4.85702e-06
0       4       2.42851e-06

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