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Hi Marc,</div>
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That's very helpful, thanks! But I have further questions on this topic.</div>
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1. Let me check my understanding of the behaviour of SCIPtightenVarUb when called on an aggregated variable (like <t_3 <- 1> </div>
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In my previous email). My assumption is that will lead to the upper bound on the variable to which it is aggregated ( t_3<-{1,5} in previous email) being tightened.</div>
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Is that correct? </div>
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2. If we have eg</div>
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[binary] <t_3 <- 1>: obj=-0, global bounds=[-0,1], local bounds=[-0,1], aggregated: +1<t_3<-{1,5}></div>
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and (aggretated) variable t_3 <- 1 has a high branching priority does this affect the branching priority of t_3<-{1,5}?</div>
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3. If I have a constraint on variables some of which are aggregated variables Do the locks declared in that constraint have any effect on the variables to which the aggregated variables are aggregated? For example, if we have:</div>
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[binary] <t_3 <- 1>: obj=-0, global bounds=[-0,1], local bounds=[-0,1], aggregated: +1<t_3<-{1,5}></div>
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[binary] <t_3 <- 5>: obj=-0, global bounds=[-0,1], local bounds=[-0,1], aggregated: +1<t_3<-{1,5}></div>
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and the constraint adds a downlock on both of these two aggregated variables, does t_3<-{1,5} get 2 downlocks added?</div>
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James</div>
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James Cussens</div>
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Room MVB 3.26</div>
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School of Computer Science, University of Bristol</div>
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Phone: +44 (0)117 455 8723</div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Scip <scip-bounces@zib.de> on behalf of Marc Pfetsch <pfetsch@mathematik.tu-darmstadt.de><br>
<b>Sent:</b> 03 July 2025 09:11<br>
<b>To:</b> scip@zib.de <scip@zib.de><br>
<b>Subject:</b> Re: [SCIP] aggregated variables</font>
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<br>
Hi James!<br>
<br>
> [binary] <t_3 <- 1>: obj=-0, global bounds=[-0,1], local bounds=[-0,1], <br>
> aggregated: +1<t_3<-{1,5}><br>
> [binary] <t_3 <- 5>: obj=-0, global bounds=[-0,1], local bounds=[-0,1], <br>
> aggregated: +1<t_3<-{1,5}><br>
> <br>
> First question: does SCIP branch on aggregated variables?<br>
<br>
Well, the default branching rule would avoid that because it only <br>
considers fractional *active* variables.<br>
<br>
But, it would be possible in principle to branch on aggregated <br>
variables. The prerequisite is that branching actually corresponds to a <br>
bound change of an active variable, which is the case for aggregated <br>
variables. (This is different for multi-aggregated variables, where <br>
several changes of bounds of active variables could correspond to the <br>
same bound change of the multi-aggregated variable.)<br>
<br>
> Second question: Is it correct that if, say, <t_3 <- 1> above were <br>
> locally fixed to 0 (by some propagation) then <t_3<-{1,5}> and then<br>
> <t_3 <- 5> would also get locally fixed to 0?<br>
<br>
In principle yes, if you interpret "locally fixed" in the right way. the <br>
variable <t_3 <- 1> is not active and thus not actually present in the <br>
problem (in particular, it does not have an LP-value). If you ask for <br>
the local variable bounds of it, SCIP would resolve the aggregation and <br>
return the bounds using the active variable <t_3<-{1,5}>. Similarly, for <br>
<t_3 <- 5>.<br>
<br>
Best<br>
<br>
Marc<br>
<br>
P.S. I recommend to avoid characters like "<" (and ">") in variable <br>
names, because these make it hard to correctly read the variable names <br>
in a CIP file.<br>
<br>
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