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### V6 Resource File                             ###
### generated on: Wed Oct 12 10:23:50 EDT 2011   ###
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### This file is designed to be delivered to the ###
### translator.                                  ###
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6678=Aborting SDI execution - no random variables specified
28531=Aborting SDI execution - cannot improve design with no design variables specified
32758=Aborting SDI execution - cannot improve design with no response targets specified
34653=Error updating the model using the SDI API
42048=Error intializing SDI API
46992=Aborting SDI execution - Response target type defined with no target value specified - {0}
47581=Aborting SDI execution - Response target defined with no target type specified - {0}
71556=This component is not supported in this release of the system.
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###   Meta Model I18N string                       #
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sdi.dispname=SDI
sdi.desc=Stochastic Design Improvement
sdi.longdesc=\
	<b>Stochastic Design Improvement</b> \
	<br><br> \
	<i>Stochastic Design Improvement (SDI)</i> is a \
	Monte Carlo Simulation based iterative procedure \
	for improving a design. \
	<br><br> \
	The target system behavior is specified by identifying \
	target values for key system responses as well as \
	critical response limits.  At each iteration, each \
	SDI step, a stochastic simulation is performed by \
	sampling the design variables in the region of \
	the current design and the random variables across \
	their defined probability distributions.  Incorporation \
	of all sources of natural variation results in a \
	<i>cloud</i> of system behavior that represents \
	the reality of physical phenomena:  events are not \
	repeatable.  An improved design is chosen at each \
	step, and the process repeated.  Thus the <i>cloud \
	of system behavior</i> is driven towards the target of \
	desired system performance while capturing the natural \
	variability around the current design. \
	<br><br> \
	Key results of SDI include: \
	<ul> \
	  <li>New nominal values of the design variables that \
	  	achieve the targets (as well as possible) and \
		satisfy the constraints</li> \
	  <li>The cluster of solutions around the nominal design \
		that represents the system variability</li> \
	  <li>The correlations between the design and random \
		variables and the system responses, and between \
		the system responses, rankable by strength of \
		correlation</li> \
	</ul>
parm.dispname.sdiresults = SDI Results
