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# mintegrate - Online in the Cloud

This is the command mintegrate that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

### PROGRAM:

#### NAME

mintegrate - evaluate average/sum/integral/derivative of 1-d numerical data

#### SYNOPSIS

mintegrate [OPTION]... [FILE]

#### DESCRIPTION

mintegrate is a program to compute averages, sums, integrals or derivatives of numerical
1-d data in situations where ultimate numerical precision is not needed.

#### OPTIONS

-a compute mean value (arithmetic average) and standard deviation

-c compute integral on closed x-data interval; In case that dx is not specified by the
'-d' flag, the data are supposed to be from an irregular x-grid, and dx is computed
separately for every x-interval. The integral is computed by the trapezoidal rule.

-d <float>
compute integral on open x-data interval with the specified dx; Can be used also in
combination with '-D' and '-c'.

-D compute difference btw. numbers or derivative of the y-data; In the default
scenario where x- and y-data column are same, the difference btw. the current and
the previous data value will be output. In this case when '-d' is defined as 0, the
x-data value will be print out in front of the calculated difference. If x-and the
y-column are different and if the x-data resolution is not defined or it is !=0,
then the derivative of the y-data is calculated. When the x-data resolution is
constant, specify it explicitly by '-d' to achieve a higher numerical precision by
a 'leapfrog' algorithm.

-x <int>
x-data column (default is 1). If 0, the x-range is an index;

-y <int>
y-data column, where y=f(x) (default is 1)

-r x_0:x_1
x-data range to consider

-s print out accumulated y_i sums: x_i versus accumulated f(x_i); In the case of a
closed integral you have to specify also the x-data resolution dx (see '-d' above).

-S compute the accumulated y_i-sums and add it to the output

-p <str>
print format of the result ("%.10g" is default)

-t <str>
output text in front of the result (invalid with '-s' or '-S'); A blank can be
printed by using a double underscore character

-F <str>
sets the field separator (default is a single space character) '__'.

-T run a self-test that the program is working correctly

-V print version number

--version

--help|-H
display help

-h display short help (options summary)

If none of the options '-a', '-D', '-d', or '-c' is used, then the sum of the provided
data will be computed. Empty lines or lines starting with '#' are skipped.

This program is perfectly suitable as a basic tool for initial data analysis and will meet
the expected accuracy of a numerical solution for the most demanding computer users and
professionals. Yet be aware that, although the computations are carried with double
floating precision, the computational techniques used for evaluating an integral or a
standard deviation are analytically low-order approximations, and thus not intended to be
used for numerical computations in engineering or mathematical sciences for cases where an
ultimate numerical precision is a must. For deeper understanding of the topic see
http://en.wikipedia.org/wiki/Numerical_analysis.