difference btw lofi and _lofi


 
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Operating Systems Solaris difference btw lofi and _lofi
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Old 03-06-2008
difference btw lofi and _lofi

Hi all,

can you pls tell me the difference btw,

LOFI_FAILED and _LOFI_FAILED

these 2 are just variables in the script its used...it just stores values...

However i have this vague idea that _LOFI_FAILED is something different ..
in the sense that it starts from a _...
so could that be some sort of a command...
like,
exit and _exit (used in c/c++)
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MINTEGRATE(1)							   User Commands						     MINTEGRATE(1)

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 dif- ference 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 '__'. -T run a self-test that the program is working correctly -V print version number --version output version and license message --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 pre- cision, 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 pre- cision is a must. For deeper understanding of the topic see http://en.wikipedia.org/wiki/Numerical_analysis. COPYRIGHT
Copyright (C) 1997, 2001, 2006-2007, 2009, 2011-2012 Dimitar Ivanov License: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. mintegrate 2.2.1 February 2012 MINTEGRATE(1)