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Hi Vincent,<br>
<br>
the question you are asking is covered in our interactive shell
tutorial, which I highly recommend for all new users:<br>
<br>
<a class="moz-txt-link-freetext" href="http://scip.zib.de/doc-5.0.1/html/SHELL.php">http://scip.zib.de/doc-5.0.1/html/SHELL.php</a><br>
<br>
Also, our FAQ has a section on how to change the behavior of SCIP.<br>
<br>
Cheers,<br>
Gregor<br>
<br>
<div class="moz-cite-prefix">Am 21.02.2018 um 22:43 schrieb Vincent
Mirian:<br>
</div>
<blockquote type="cite"
cite="mid:CAKys4Qo14NGKCwpB+MR+m4-U2X_mo-kkSYFeYFYDVHMNCYPb=A@mail.gmail.com">
<div dir="ltr"><span
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;float:none;display:inline">Thank
you for your responses Stefan and Ambros.</span>
<div
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><br>
</div>
<div
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial">I
changed the script to:</div>
<div
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial">
<div>read SCIPConstraint.lp display problem</div>
<div>set constraints quadratic replacebinaryprod 0</div>
<div>set presolving inttobinary maxrounds 12</div>
<div>set limits solutions 4</div>
<div>set limits time 4194</div>
<div>set limits nodes 4</div>
<div>optimize</div>
<div>display solution</div>
<div>write solution scriptOutput</div>
<div>quit</div>
</div>
<div
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><br>
</div>
<div
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial">I
would like to constraint the solver further to produce a
solution as early as possible. I am looking into the
heuristics and presolving. Is there documentation that can
guide this process? Or does anyone have any suggestions?</div>
<div
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"><br>
</div>
<div
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:small;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial">Thank
you.</div>
<br>
</div>
<div class="gmail_extra"><br>
<div class="gmail_quote">On Wed, Feb 21, 2018 at 2:25 PM, Ambros
Gleixner <span dir="ltr"><<a href="mailto:gleixner@zib.de"
target="_blank" moz-do-not-send="true">gleixner@zib.de</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex"><span
class="">>> Also, I would like to know if it is
possible to pause SCIP and<br>
>> retrieve its<br>
>> state and, then, continue from the saved state
from the<br>
>> interactive/batch(script) mode. If so, how?<br>
><br>
> No.<br>
<br>
</span>
Well, I would say you can do that to some extent by setting
any parameter that limits the effort spent for solving,
e.g., limits/nodes, limits/solutions, limits/time, ...<br>
<br>
For continuing after SCIP stopped, simply increase the limit
and type optimize again.<br>
<br>
Best,<br>
Ambros
<div class="HOEnZb">
<div class="h5"><br>
<br>
<br>
Am 21.02.2018 um 11:41 schrieb Stefan Vigerske:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi,<br>
<br>
On 02/21/2018 12:16 AM, Vincent Mirian wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi Ambros.<br>
<br>
Thank you for your response. Your explanation was
aligned with my<br>
assumption... Thank you for clarifying.<br>
<br>
SCIP searches for an optimal solution. For some
MINLP problem, I would like<br>
SCIP to return a solution (the first solution it may
find is sufficient). I<br>
was reading that IPOPT is integrated within SCIP,
however I was unable to<br>
trigger ipopt for these problem. Any help would be
appreciated.<br>
</blockquote>
<br>
There are a few primal heuristics in SCIP that may
call out to Ipopt. One that runs rather frequently is
the "subNLP" heuristic, but it will not run when there
are no continuous variables in the nonlinear part of
your problem. Otherwise, you may change its parameters
to make it run more often.<br>
However, with the information given, it's hard to say
why SCIP didn't call Ipopt.<br>
<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
For reference, I am using SCIP from
interactive/batch(script) mode. I<br>
installed SCIP using the binaries posted on the
website.<br>
<br>
Also, I would like to know if it is possible to
pause SCIP and retrieve its<br>
state and, then, continue from the saved state from
the<br>
interactive/batch(script) mode. If so, how?<br>
</blockquote>
<br>
No.<br>
<br>
Stefan<br>
<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
<br>
Thank you in advance.<br>
<br>
On Tue, Feb 20, 2018 at 1:49 AM, Ambros Gleixner
<<a href="mailto:gleixner@zib.de" target="_blank"
moz-do-not-send="true">gleixner@zib.de</a>>
wrote:<br>
<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi Vincent,<br>
<br>
SCIP (like virtually all solvers based on
floating-point arithmetics) uses<br>
tolerances to check feasibility and integrality.
Anything with a<br>
fractionality below 1e-9 (parameter
numerics/epsilon) is consider integral,<br>
so also the value 0.999999999999998 that you saw
in your solution. You can<br>
use SCIPisIntegral() to check or SCIPround() to
round solution values in<br>
the C API.<br>
<br>
Best,<br>
Ambros<br>
<br>
<br>
Am 20.02.2018 um 03:40 schrieb Vincent Mirian:<br>
<br>
<blockquote class="gmail_quote" style="margin:0 0
0 .8ex;border-left:1px #ccc
solid;padding-left:1ex">
Hi Benny.<br>
<br>
Thank you for your response. Currently, I am
using the LP format with<br>
SCIP.<br>
<br>
I create a problem (attached). In the problem I
defined a<br>
variable AssignC4BLK0 and AssignC10BLK1 as
binaries. However, the output<br>
assigns a non-binary to these variables. Is
there something that I am doing<br>
incorrectly? Or is this natural behavior from
SCIP?<br>
<br>
Regards.<br>
<br>
On Wed, Feb 14, 2018 at 1:55 AM, Benjamin Müller
<<a href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.de</a><br>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a>>>
wrote:<br>
<br>
Hi Vincent,<br>
<br>
you did two mistakes:<br>
<br>
1. <y#0> should have a coefficient of
1 in the objective.<br>
<br>
2. You declared your quadratic constraint
to be linear and there<br>
were also some semantic problems.<br>
<br>
Your model should actually look like:<br>
<br>
STATISTICS<br>
Problem name : test.cip<br>
Variables : 5 (0 binary, 5
integer, 0 implicit integer, 0<br>
continuous)<br>
Constraints : 0 initial, 5 maximal<br>
OBJECTIVE<br>
Sense : minimize<br>
VARIABLES<br>
[integer] <c#0b#0>: obj=0,
original bounds=[0,1]<br>
[integer] <c#1b#0>: obj=0,
original bounds=[0,1]<br>
[integer] <c#0b#1>: obj=0,
original bounds=[0,1]<br>
[integer] <c#1b#1>: obj=0,
original bounds=[0,1]<br>
[integer] <y#0>: obj=1, global
bounds=[0,4], local bounds=[0,4]<br>
CONSTRAINTS<br>
[linear] <pack_1>:
<c#0b#0>[I] +<c#0b#1>[I] == 1;<br>
[linear] <pack_2>:
<c#1b#0>[I] +<c#1b#1>[I] == 1;<br>
[linear] <cap_0>:
<c#0b#0>[I] +<c#1b#0>[I] <= 1;<br>
[linear] <cap_1>:
<c#0b#1>[I] +<c#1b#1>[I] <= 1;<br>
[quadratic] <obj_0>:
-<c#0b#1>[C] <c#1b#1>[C]
-<c#0b#0>[I]<br>
<c#1b#0>[I] -<y#0>[C] == -4;<br>
END<br>
<br>
Please read your instance with SCIP display
the problem in order to<br>
see how SCIP parsed it.<br>
<br>
./bin/scip -c "read test.cip
display problem"<br>
<br>
Anyway, I think that you might want to use
a modelling language<br>
instead of dealing with our .cip format.
You could, e.g., use ZIMPL,<br>
AMPL, GAMS, ...<br>
<br>
Best,<br>
Benny<br>
<br>
PS: Please don't include the Ipopt mailing
any more. Your problems<br>
are not related to Ipopt.<br>
<br>
<br>
<br>
On 02/14/2018 07:01 AM, Vincent Mirian
wrote:<br>
<br>
Hi all.<br>
<br>
Thanks for the reply Benny.<br>
<br>
I created the following input file to
the framework.<br>
STATISTICS<br>
Problem name : test.cip<br>
Variables : 5 (0 binary, 5
integer, 0 implicit<br>
integer, 0 continuous)<br>
Constraints : 0 initial, 5
maximal<br>
OBJECTIVE<br>
Sense : minimize<br>
VARIABLES<br>
[integer] <c#0b#0>: obj=0,
original bounds=[0,1]<br>
[integer] <c#1b#0>: obj=0,
original bounds=[0,1]<br>
[integer] <c#0b#1>: obj=0,
original bounds=[0,1]<br>
[integer] <c#1b#1>: obj=0,
original bounds=[0,1]<br>
[integer] <y#0>: obj=0,
global bounds=[0,4], local<br>
bounds=[0,4]<br>
CONSTRAINTS<br>
[linear] <pack_1>:
<c#0b#0>[I] +<c#0b#1>[I] == 1;<br>
[linear] <pack_2>:
<c#1b#0>[I] +<c#1b#1>[I] == 1;<br>
[linear] <cap_0>:
<c#0b#0>[I] +<c#1b#0>[I] <= 1;<br>
[linear] <cap_1>:
<c#0b#1>[I] +<c#1b#1>[I] <= 1;<br>
[linear] <obj_0>:
-<c#0b#1>[I]*<c#1b#1>[I]*1<br>
-<c#0b#0>[I]*<c#1b#0>[I]*1
+4 -<y#0> == 0;<br>
END<br>
<br>
The results should assign y#0 to 4.
However, I get the following<br>
output (snippet of output to reduce
length):<br>
<br>
presolving (1 rounds: 1 fast, 1 medium,
1 exhaustive):<br>
5 deleted vars, 5 deleted
constraints, 0 added constraints, 1<br>
tightened bounds, 0 added holes, 0
changed sides, 0 changed<br>
coefficients<br>
0 implications, 0 cliques<br>
presolved problem has 0 variables (0
bin, 0 int, 0 impl, 0 cont)<br>
and 0 constraints<br>
transformed objective value is always
integral (scale: 1)<br>
Presolving Time: 0.00<br>
<br>
objective
value: <wbr> 0<br>
c#0b#0 <wbr>
1 (obj:0)<br>
c#1b#1 <wbr>
1 (obj:0)<br>
<br>
The assignment of c#0b#0 and c#1b#1 are
valid solutions. I am<br>
confused on the reason that the
objective value is 0. I am<br>
assume that the objective value is y#0,
since it is the only<br>
variable not stated. The value of y#0
should be 4.<br>
<br>
Some guidance would be appreciated.
Note that I searched the<br>
SCIP mailing list archive but I did not
find any references for<br>
the input format and description of the
output.<br>
<br>
Any help would be appreciated. Thank
you.<br>
<br>
<br>
<br>
On Tue, Feb 13, 2018 at 11:38 PM,
Benjamin Müller<br>
<<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.de</a>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a>><br>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a><br>
<br>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a>>>>
wrote:<br>
<br>
Hi Vincent,<br>
<br>
I would recommend using JSCIPOpt,
which is our SCIP-Java<br>
interface<br>
that can be found here:<br>
<br>
<a
href="https://github.com/SCIP-Interfaces/JSCIPOpt"
rel="noreferrer" target="_blank"
moz-do-not-send="true">https://github.com/SCIP-Interf<wbr>aces/JSCIPOpt</a><br>
<<a
href="https://github.com/SCIP-Interfaces/JSCIPOpt"
rel="noreferrer" target="_blank"
moz-do-not-send="true">https://github.com/SCIP-Inter<wbr>faces/JSCIPOpt</a>><br>
<<a
href="https://github.com/SCIP-Interfaces/JSCIPOpt"
rel="noreferrer" target="_blank"
moz-do-not-send="true">https://github.com/SCIP-Inter<wbr>faces/JSCIPOpt</a><br>
<<a
href="https://github.com/SCIP-Interfaces/JSCIPOpt"
rel="noreferrer" target="_blank"
moz-do-not-send="true">https://github.com/SCIP-Inter<wbr>faces/JSCIPOpt</a>>><br>
<br>
All relevant steps for building
the interface are listed in<br>
the<br>
INSTALL.md, but basically, you
will need to download the<br>
latest SCIP<br>
Optimization Suite and compile it
with Ipopt. You might<br>
want to have<br>
a look at the
JSCIPOpt/examples/Quadratic, which shows how<br>
to model<br>
a problem with simple quadratic
constraints.<br>
<br>
Please note that SCIP can't handle
a nonlinear objective<br>
function.<br>
For this reason, you need to add
an auxiliary variable z<br>
and then<br>
model your problem as<br>
<br>
min z<br>
z >= sum_{ij} X_{ij}
Y_{ij}<br>
...<br>
<br>
Best,<br>
Benny<br>
<br>
On 02/13/2018 07:05 PM, Vincent
Mirian wrote:<br>
<br>
HI all.<br>
<br>
I am new to the SCIP
community.<br>
<br>
I am looking for a non-linear
solver to solve:<br>
- an objective function
similar to 0 <= sum over i and<br>
j of X_ij<br>
* Y_ij * Constant < max<br>
- with constraints similar
tosum(X_ij) = 1 and<br>
sum(Y_ij) = 1<br>
(forcing the values of X_ij
and Y_ij to zero or one). A<br>
solution<br>
would be sufficient (it can be
local or global optimal).<br>
<br>
I would need to interface the
solver with Java. I found<br>
Google<br>
Optimization Tools (OR-Tools)
to interface SCIP with<br>
java. Note<br>
that this work is for academic
research.<br>
<br>
- Would SCIP or Ipopt be
suitable for my task? Would<br>
anyone have<br>
experience integrating SCIP or
Ipopt into Java?<br>
- I'm using a machine with
ubuntu 64-bit. Are there any<br>
issues<br>
with installing these tools in
this machine environment?<br>
- What is the manner to
describe the constraints and<br>
objective<br>
function using these tools?<br>
<br>
Thank you.<br>
-- Vincent Mirian<br>
<br>
<br>
______________________________<wbr>_________________<br>
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target="_blank" moz-do-not-send="true">Scip@zib.de</a>
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target="_blank" moz-do-not-send="true">Scip@zib.de</a>>
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<br>
<br>
--
______________________________<br>
Benjamin Müller<br>
Zuse Institute Berlin<br>
Takustr. 7, 14195 Berlin<br>
<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.de</a>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a>><br>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a>>><br>
<a
href="tel:%2B49%2030%20841%2085-195"
value="+493084185195" target="_blank"
moz-do-not-send="true">+49 30 841 85-195</a>
<tel:%2B49%2030%20841%2085-195<wbr>><br>
<tel:%2B49%2030%20841%2085-195<wbr>><br>
<br>
<br>
<br>
<br>
-- Vincent Mirian<br>
<br>
<br>
-- ______________________________<br>
Benjamin Müller<br>
Zuse Institute Berlin<br>
Takustr. 7, 14195 Berlin<br>
<a href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.de</a>
<mailto:<a
href="mailto:benjamin.mueller@zib.de"
target="_blank" moz-do-not-send="true">benjamin.mueller@zib.d<wbr>e</a>><br>
<a href="tel:%2B49%2030%20841%2085-195"
value="+493084185195" target="_blank"
moz-do-not-send="true">+49 30 841 85-195</a>
<tel:%2B49%2030%20841%2085-195<wbr>><br>
<br>
<br>
<br>
<br>
-- <br>
Vincent Mirian<br>
<br>
<br>
______________________________<wbr>_________________<br>
Scip mailing list<br>
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moz-do-not-send="true">Scip@zib.de</a><br>
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<br>
<br>
</blockquote>
-- <br>
Ambros Gleixner, Research Group Mathematical
Optimization Methods at Zuse<br>
Institute Berlin, <a
href="http://www.zib.de/gleixner"
rel="noreferrer" target="_blank"
moz-do-not-send="true">http://www.zib.de/gleixner</a><br>
______________________________<wbr>_________________<br>
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<br>
</blockquote>
<br>
<br>
<br>
<br>
<br>
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______________________________<wbr>_________________<br>
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</blockquote>
<br>
-- <br>
Ambros Gleixner, Research Group Mathematical
Optimization Methods at Zuse Institute Berlin, <a
href="http://www.zib.de/gleixner" rel="noreferrer"
target="_blank" moz-do-not-send="true">http://www.zib.de/gleixner</a><br>
______________________________<wbr>_________________<br>
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<br>
<br clear="all">
<div><br>
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-- <br>
<div class="gmail_signature" data-smartmail="gmail_signature">
<div dir="ltr">
<div>
<div>Vincent Mirian</div>
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<br>
<pre wrap="">_______________________________________________
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