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These tests test the total time taken to execute all of Boost.Math's test cases for these functions. In each case the best performing library gets a relative score of 1, with the total execution time given in brackets. The first three libraries listed are the various floating-point types provided by this library, while for comparison, two popular C++ front-ends to MPFR ( mpfr_class and mpreal) are also shown.
Table 1.12. Bessel Function Performance
| Library | 50 Decimal Digits | 100 Decimal Digits | 
|---|---|---|
| mpfr_float | 1.2 (5.78s) | 1.2 (9.56s) | 
| static_mpfr_float | 1.1 (5.47s) | 1.1 (9.09s) | 
| mpf_float | 1.0 (4.82s) | 1.0(8.07s) | 
| cpp_dec_float | 1.8 (8.54s) | 2.6 (20.66s) | 
| 1.3 (6.28s) | 1.2(10.06s) | |
| 2.0 (9.54s) | 1.7 (14.08s) | 
Table 1.13. Non-Central T Distribution Performance
| Library | 50 Decimal Digits | 
|---|---|
| mpfr_float | 1.3 (263.27s) | 
| static_mpfr_float | 1.2 (232.88s) | 
| mpf_float | 1.0 (195.73s) | 
| cpp_dec_float | 1.9 (366.38s) | 
| 1.5 (286.94s) | |
| 2.0 (388.70s) | 
Test code was compiled with Microsoft Visual Studio 2010 with all optimisations turned on (/Ox), and used MPIR-2.3.0 and MPFR-3.0.0. The tests were run on 32-bit Windows Vista machine.