search for: normalized_diff

...an the input dataset, which does # not matter since the first and last datapoint will always be included diffs = abs(data[1:nrow(data)-1,] - data[2:nrow(data),]); # normalize the differences according to the value range in their column col.range = apply(data,2, function(d) {abs(max(d) - min(d))}); normalized_diffs <- t(apply(diffs, 1, function(d) {d/col.range})); rm("col.range"); # get the "biggest difference" in each row biggest_difference <- as.vector(apply(normalized_diffs,1, max)); # check if the "biggest difference" is above the threshold - # that means the row is...

Hello, Third version of the NUMA placement series Xen 4.2. All the comments received during v2''s review have been addressed (more details in single changelogs). The most notable changes are the following: - the libxl_cpumap --> libxl_bitmap renaming has been rebased on top of the recent patches that allows us to allocate bitmaps of different sizes; - the heuristics for deciding