  Numerical data processing is a key task across different fields of computer
technology use. However, even simple summation of values is not precise due to
the floating point representation use. This paper presents a practical
algorithm for summation of values convenient for medium and large data sets.
The proposed algorithm is simple, easy to implement. Its computational
complexity is O(N) in the contrary of the Exact Sign Summation Algorithm (ESSA)
approach with O(N^2) run-time complexity. The proposed algorithm is especially
convenient for cases when exponent data differ significantly and many small
values are summed with higher values
