matrix2 return self/pathfinder

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 2.4794 ns 2.4853 ns 2.4912 ns
0.9898709 0.9906405 0.9898565
Mean 2.4774 ns 2.4846 ns 2.4941 ns
Std. Dev. 14.124 ps 43.642 ps 65.457 ps
Median 2.4713 ns 2.4721 ns 2.4732 ns
MAD 2.2274 ps 3.3482 ps 5.1423 ps

Additional Plots:

Understanding this report:

The plot on the left displays the average time per iteration for this benchmark. The shaded region shows the estimated probabilty of an iteration taking a certain amount of time, while the line shows the mean. Click on the plot for a larger view showing the outliers.

The plot on the right shows the linear regression calculated from the measurements. Each point represents a sample, though here it shows the total time for the sample rather than time per iteration. The line is the line of best fit for these measurements.

See the documentation for more details on the additional statistics.