Can anybody help me with coursework Post: 302390169

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Homework and Emergencies Homework & Coursework Questions Can anybody help me with coursework Post 302390169 by astralito on Wednesday 27th of January 2010 05:14:32 AM

01-27-2010

Registered User

Can anybody help me with coursework

This is the coursework, in Technical University Sofia, Bulgaria prof. Koshmarov, sorry but the link to the course is broken. And this is the condition:

Code:

1. If the value of x is 5, and you have been set a new value as such 
       x="expr $x + 10", What would be the value of x? 
What would be the new value of the given variable if you had used single quotation marks and what should you do to obtain the same value in case of double quotation marks use? 
   
      2. Explain what would be the result of execution of the following command
       $ `date` 
   
      3. In the command prompt set the following value of the variable x:
         x='ls | more' или set x='ls | more' (C shell)
         Can you execute $x? Why?
         What is the difference between directory='pwd' and directory=`pwd`.
   
      4. How can you interprete the command
         set - *
         within a command procedure?
   
      5. If a given script is executed as foo -l -t bar[1-3], What would be the values of $# and $*? Will there be a difference if the options are combined?
   
      6. Write a script that archives the files in the current directory not being modified in the last six months. 
  (Instruction: Use the commands find and tar or cpio.)

Just one of these helps me very much.
Thank you people!

astralito

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LEARN ABOUT DEBIAN

profnet_prof

PROFNET(1)							   User Commands							PROFNET(1)

NAME

       profnet_* - neural network implementations in Fortran

SYNOPSIS

       profnet_* [OPTION|filePar]

DESCRIPTION

       profnet_* binaries are neural network implementations in Fortran.  Due to the original design of the code, a specific binary is compiled
       for each particular network architecture, changing certain constants in the source code.  Therefore, there is a binary for every network
       architecture used.  Note: certain array structures are intentionally indexed out of bounds in some of the binaries.

       Note:

       This binary should only be used to run with pre-made training data, do not try to use it to train your network as it will produce undesired
       results. It was made to be used only as part of wrapping (dependent) packages and not as a standalone neural network program.

OPTIONS

       This list is not exhaustive.

       filePar
	   file with input parameters (also gives fileIn, fileOut)

       1   "switch"

       2   number of input units

       3   number of hidden units

       4   number of output units

       5   number of samples

       6   bitacc (typically 100)

       7   file with input vectors

       8   file with junctions

       9   file with output of NN ("none" -> no file written)

       10  optional=dbg

       [inter]
	   will bring up dialog

NOTES

       1st MUST be "switch"!

       tested only with 2 layers!

AUTHOR

       Burkhard Rost <rost@rostlab.org>

       Bug fixes and enhancements by Laszlo Kajan <lkajan@rostlab.org> and Guy Yachdav <gyachdav@rostlab.org>

COPYRIGHT AND LICENSE

       Copyright 1998-2011 by Burkhard Rost <rost@rostlab.org> EMBL, CUBIC (Columbia University, NY, USA) and LION Biosciences (Heidelberg, DE)

       Copyright 2009-2011 by Laszlo Kajan <lkajan@rostlab.org> Technical University Munich (Munich, DE)

       Copyright 2009-2011 by Guy Yachdav <gyachdav@rostlab.org> CUBIC (Columbia University, NY, USA) and Technical University Munich (Munich, DE)

1.0.21- 							    2011-06-16								PROFNET(1)