view testdata/TRIOS-silvet/brahms/violin.lab @ 116:91bb029a847a timing

Reorder the calculations to match the series of vector operations in the most recent bqvec code, just in case it's the order of vector calculations that is saving the time rather than the avoidance of std::vector

3.920000000	4.560000000	1244.51
4.880000000	5.200000000	1244.51
3.800000000	5.280000000	622.254
5.240000000	6.640000000	587.33
7.200000000	7.400000000	1046.5
7.520000000	7.640000000	1046.5
7.160000000	7.840000000	523.251
7.880000000	8.200000000	1244.51
7.840000000	8.280000000	622.254
8.680000000	8.800000000	739.989
8.880000000	8.960000000	739.989
8.280000000	9.080000000	698.456
8.320000000	9.080000000	1396.91
9.080000000	9.240000000	830.609
9.360000000	9.480000000	830.609
9.160000000	9.560000000	1244.51
9.040000000	9.840000000	415.305
10.480000000	10.560000000	1567.98
10.480000000	10.760000000	783.991
10.240000000	10.960000000	391.995
11.000000000	11.440000000	1046.5
11.520000000	11.640000000	1046.5
11.760000000	11.960000000	1046.5
10.840000000	12.280000000	523.251
12.120000000	12.800000000	369.994
13.120000000	13.240000000	1396.91
13.240000000	13.320000000	1046.5
13.080000000	13.400000000	1244.51
13.200000000	13.480000000	698.456
12.800000000	13.760000000	349.228
15.840000000	17.320000000	1108.73
17.400000000	17.720000000	1479.98
17.240000000	18.520000000	987.767
19.040000000	19.840000000	932.328
19.800000000	20.280000000	1108.73
20.200000000	21.080000000	1244.51
21.080000000	21.360000000	830.609
22.320000000	22.440000000	1479.98
22.120000000	22.840000000	739.989
22.840000000	23.200000000	830.609
23.440000000	23.520000000	1479.98
23.640000000	23.760000000	698.456
23.640000000	23.920000000	1396.91
24.000000000	24.240000000	698.456
24.040000000	24.240000000	1396.91
24.520000000	24.640000000	1479.98
23.200000000	24.720000000	739.989
25.000000000	25.120000000	739.989
25.200000000	25.520000000	739.989
24.840000000	25.600000000	1396.91
24.800000000	25.640000000	698.456
25.680000000	26.040000000	1244.51
25.600000000	26.160000000	622.254
28.320000000	28.440000000	739.989
27.760000000	30.160000000	369.994
30.080000000	30.560000000	349.228
31.600000000	31.720000000	1244.51
31.200000000	31.960000000	311.127
31.960000000	32.200000000	1046.5
31.880000000	32.280000000	349.228
32.360000000	32.440000000	622.254
32.240000000	32.720000000	311.127
32.640000000	33.440000000	277.183
33.400000000	33.640000000	622.254
33.560000000	33.680000000	1244.51
33.360000000	33.800000000	311.127
33.720000000	34.640000000	277.183
34.560000000	34.680000000	261.626
34.640000000	34.800000000	493.883
34.600000000	34.960000000	1244.51
34.920000000	35.120000000	493.883
35.040000000	35.280000000	261.626
35.200000000	35.320000000	493.883
35.040000000	35.800000000	1244.51
34.680000000	36.080000000	246.942
36.160000000	36.280000000	233.082
36.280000000	36.400000000	246.942
37.160000000	37.520000000	207.652
37.680000000	37.800000000	622.254
37.640000000	37.840000000	207.652
37.200000000	37.880000000	415.305
38.000000000	38.160000000	932.328
37.880000000	38.200000000	233.082
38.000000000	38.240000000	466.164
38.360000000	38.560000000	622.254
38.240000000	38.600000000	415.305
38.280000000	38.640000000	207.652
38.760000000	38.880000000	880
39.200000000	39.360000000	880
38.520000000	39.440000000	220
38.600000000	39.520000000	440
39.600000000	39.720000000	246.942
39.360000000	39.720000000	466.164
39.320000000	39.800000000	233.082
39.560000000	39.800000000	932.328
39.920000000	40.080000000	440
40.200000000	40.280000000	440
39.800000000	40.400000000	466.164
40.080000000	40.520000000	1108.73
40.400000000	40.560000000	440
39.920000000	40.640000000	220
40.000000000	40.760000000	233.082
40.760000000	40.880000000	246.942
40.960000000	41.120000000	233.082
46.360000000	46.480000000	698.456
46.400000000	46.520000000	69.2957
46.360000000	46.560000000	659.255
46.360000000	46.560000000	1046.5
46.520000000	46.640000000	523.251
46.640000000	46.720000000	698.456
46.640000000	46.720000000	987.767