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Binary constraint
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TOPIC: Binary constraint
#5875
Re: Binary constraint 1 Year, 6 Months ago Karma: 32
i.e., dont write x*x < z*z when you really model norm(x)<z. The first form is tricky to handle (it yields a model which YALMIP concludes is nonconvex) hereas the second approach is a standard SOCP cone)
lofberg
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#5876
Re: Binary constraint 1 Year, 6 Months ago Karma: 0
this is what I get

Code:


>> tstylmp()

M =

    1.2658
    1.2658
    1.2741
    1.3054

* Starting YALMIP integer branch & bound.
* Lower solver   : fmincon-standard
* Upper solver   : rounder
* Max iterations : 300
 Node       Upper       Gap(%)      Lower    Open
    1 :          Inf      Inf     1.799E+002   2  
    2 :   6.286E-001     0.00     6.286E-001   0  
+   2 Finishing.  Cost: 0.62859

ans = 

    yalmiptime: 0.1710
    solvertime: 3.0160
          info: 'No problems detected (BNB)'
       problem: 0
        dimacs: [NaN NaN 0 0.0329 NaN NaN]

 
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|    ID|      Constraint|                                  Type|   Primal residual|
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|    #1|   Numeric value|                   Equality constraint|                 0|
|    #2|   Numeric value|                   Equality constraint|                 0|
|    #3|   Numeric value|                   Equality constraint|                 0|
|    #4|   Numeric value|                   Equality constraint|                 0|
|    #5|   Numeric value|                Elementwise inequality|                 0|
|    #6|   Numeric value|                Elementwise inequality|      -1.0902e-021|
|    #7|   Numeric value|   Elementwise inequality (polynomial)|      -4.0053e-011|
|    #8|   Numeric value|    Elementwise inequality (quadratic)|         -0.043081|
|    #9|   Numeric value|                Elementwise inequality|                 1|
|   #10|   Numeric value|   Elementwise inequality (polynomial)|       -1.121e-012|
|   #11|   Numeric value|    Elementwise inequality (quadratic)|          -0.16346|
|   #12|   Numeric value|                Elementwise inequality|                 1|
|   #13|   Numeric value|   Elementwise inequality (polynomial)|       -2.841e-010|
|   #14|   Numeric value|    Elementwise inequality (quadratic)|         -0.026484|
|   #15|   Numeric value|                Elementwise inequality|                 1|
|   #16|   Numeric value|   Elementwise inequality (polynomial)|      -1.7929e-012|
|   #17|   Numeric value|    Elementwise inequality (quadratic)|          -0.02715|
|   #18|   Numeric value|                Elementwise inequality|                 1|
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 

fopt =

    0.2899


ans =

    0.6286


ans =

    0.4588    0.3759
    0.3759    0.8986


ans =

    0.0911
    0.3587
         0
    0.1788


ans =

    0.0000    1.0000
    1.0000         0
         0    1.0000
    1.0000         0


ans =

  1.0e-020 *

   -0.0538
         0
   -0.1090
         0

anasafae
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#5877
Re: Binary constraint 1 Year, 6 Months ago Karma: 32
you say on of the constraints isn't satisfied. how do you check that.

what is the result from
p = checkset(K)
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#5878
Re: Binary constraint 1 Year, 6 Months ago Karma: 32
btw, the code you posted is not a big-M approach. The whole idea with the big-M approach is to avoid unnecessary nonlinear terms, which you still have since you multiply y and X
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