xpress-mp optimization
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exter
Jun 3, 2007, 12:56:36 AM6/3/07
to Xpress-MP
Hello. I am trying to write a program for xpress-mp optimization that
finds the minimum value of x.Q.x* where x is a 1xn vector and Q is a
nxn matrix. ( * denotes transpose). Q is given, and x is a vector of
values either 0 or 1. I think I followed the xpress-mp essentials
(http://www.dil.univ-mrs.fr/~vancan/m09/documents/essentials.pdf), but
it does not work. Please help me with the code. I am writing the
problems in parenthesis within the code. Thank you.
finds the minimum value of x.Q.x* where x is a 1xn vector and Q is a
nxn matrix. ( * denotes transpose). Q is given, and x is a vector of
values either 0 or 1. I think I followed the xpress-mp essentials
(http://www.dil.univ-mrs.fr/~vancan/m09/documents/essentials.pdf), but
it does not work. Please help me with the code. I am writing the
problems in parenthesis within the code. Thank you.
model minimization
uses "mmxprs";
declarations
n = 1..10
x: array(n) of mpvar
matrix: array(n,n) of real
temp: array(n) of real
end-declarations
matrix := [0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,
0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1] (error101: incompatible
types in assignment)
forall(i in n) x(i) is_binary
forall(j in n) temp(j) := sum(i in n) x(i)*(matrix(i,j))
(error101: incompatible types in assignment)
h:= sum(i in n) x(i)*temp(i)
minimize(h)
writeln("Minimum energy is ",getobjval)
writeln("x = ",getsol(x)) (error102:
incompatible types for parameters of "getsol".)
bobdaniel
Jun 3, 2007, 5:00:44 AM6/3/07
to Xpress-MP
1. Please read previous replies.
2. model minimization
uses "mmxprs","mmquad"
declarations
n = 1..10
x: array(n) of mpvar
matrix: array(n,n) of real
end-declarations
initializations from "t.dat"
matrix
end-initializations
forall(i in n) x(i) is_binary
minimize(sum(i,j in n) x(i)*matrix(i,j)*x(j))
writeln("Minimum energy is ",getobjval)
forall (i in n) writeln("x(", i,")= ",getsol(x(i)))
end-model
2. model minimization
uses "mmxprs","mmquad"
declarations
n = 1..10
x: array(n) of mpvar
matrix: array(n,n) of real
initializations from "t.dat"
matrix
end-initializations
forall(i in n) x(i) is_binary
writeln("Minimum energy is ",getobjval)
end-model
3. You can create t.dat yourself.
exter
Jun 3, 2007, 9:00:23 AM6/3/07
to Xpress-MP
Hello bobdaniel. Thank you very much for your reply. I tried it, but I
get the following error. I would appreciate your further help. ---
exter---
get the following error. I would appreciate your further help. ---
exter---
model minimization
uses "mmquad";
declarations
n = 1..10
x: array(n) of mpvar
matrix: array(n,n) of real
end-declarations
initializations from "t.dat"
matrix
end-initializations
forall(i in n) x(i) is_binary
minimize(sum(i,j in n) x(i)*matrix(i,j)*x(j))
(error123: "minimize" is not defined)
writeln("Minimum energy is ",getobjval)
forall (i in n) writeln("x(", i,")= ",getsol(x(i)))
end-model
t.dat file is:
matrix: [1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,1,1,1,1,1]
exter
Jun 3, 2007, 11:57:38 AM6/3/07
to Xpress-MP
Hello.
Adding to the previous message, I also tried:
t.dat file:
matrix: [1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1]
Is there a specific directory I should store this file? I usually save
t.dat and minimization.mos file on desktop. Thanks again.
Raphael Chabar
Jun 3, 2007, 5:15:15 PM6/3/07
to Xpress-MP
You forgot to specify the use of the mmxprs library (uses "mmxprs") -
without it you won't do any optimization - additionally to the use of
the quadratic library (uses "mmquad"), required since your model
involves quadratic programming.
without it you won't do any optimization - additionally to the use of
the quadratic library (uses "mmquad"), required since your model
involves quadratic programming.
On Jun 3, 12:57 pm, exter <sejoon...@hotmail.com> wrote:
> Hello.
>
> Adding to the previous message, I also trzation - ied:
exter
Jun 3, 2007, 7:57:43 PM6/3/07
to Xpress-MP
Thank you for your reply. Now, the program runs, but there is one more
problem. I set the values of x (which is a 1xn matrix) to take values
either 0 or 1 (forall(i in n) x(i) is_binary). However, I get the
vector containing real values: Please tell me how to fix this. Thanks
again. ---exter---
problem. I set the values of x (which is a 1xn matrix) to take values
either 0 or 1 (forall(i in n) x(i) is_binary). However, I get the
vector containing real values: Please tell me how to fix this. Thanks
again. ---exter---
x(1)= 1.19159
x(2)= 0.908745
x(3)= 0.395778
x(4)= 0.741114
x(5)= 1.18331
x(6)= 0.900206
x(7)= 1.38135
x(8)= 0.901781
x(9)= 0.24378
x(10)= 1.82767
x(11)= 1.08778
x(12)= 0.741361
x(13)= 1.17491
x(14)= 1.54276
x(15)= 1.31522
x(16)= 0.889918
x(17)= 0.43708
x(18)= 0.553228
x(19)= 0.663693
x(20)= 1.55591
x(21)= 0.0693643
x(22)= 0.647546
x(23)= 1.08989
x(24)= 1.32768
x(25)= 0.873682
x(26)= 1.16688
x(27)= 1.45494
x(28)= 1.92084
x(29)= 1.00719
x(30)= 1.06678
x(31)= 0.604012
x(32)= 1.30586
x(33)= 0.361892
x(34)= 1.45934
x(35)= 1.15125
x(36)= 1.07065
x(37)= 0.001
x(38)= 1.02743
x(39)= 0.776843
x(40)= 1.09378
x(41)= 0.622654
x(42)= 0.768762
x(43)= 0.879336
x(44)= 0.357083
x(45)= 0.853013
x(46)= 1.07815
x(47)= 0.813489
x(48)= 1.96134
x(49)= 0.397121
x(50)= 1.26333
exter
Jun 3, 2007, 8:40:26 PM6/3/07
to Xpress-MP
Hello. Adding to the previous message, my matrix is a 50x50 matrix. I
changed n in the code to n=1..50.
my t.dat file is:
matrix: [0 0.0146716 -0.105635 -0.0878459 0.148285
0.917176 0.172277 0.392689 1.13592 -0.106412 0.425937 -1.14844
1.04536 1.42465 1.37694 -0.0306497 -1.00669 -0.730314 -0.899731
0.172121 0.325556 -1.67704 0.639404 0.0520135 -0.236679
0.102738 -0.580513 -1.59156 1.02582 0.584149 0.560393 -0.245548
1.96872 -0.634699 -1.66988 -0.589918 -1.15798 -0.412623
-1.11822
0.805896 1.83025 -1.24079
1.62206 -0.767071 -0.415811 -1.54997 -0.810296 0.526641 1.4933
0.0492999 0.0146716 0 1.46179 0.371956 -1.37343
0.838838 -0.786776 -0.699816 -1.23025 0.0913872 -0.961162
1.80418
2.19352 -0.854312 -1.79285 -0.936338 -2.0648 -1.34617 -1.3476
1.67497 0.469648 -1.90255 1.17503 -0.667421 0.669387 0.0222846
1.66364 0.272066 0.422218 0.55242 0.631678 -0.344611
0.136446 -0.941352 0.171198 -0.251289 0.172304 1.99166
0.0789586 -0.751269 0.122958 1.21424 -0.144447 -0.603117
1.11808
1.07639 0.157476 -2.03424 -1.1757 -0.384691 -0.105635 1.46179
0 0.281032 -0.21791 -0.109784 0.359965 1.14771 -1.65902
1.29317 -0.0820554 -0.505824 0.379283 -0.429928 -0.0238018
0.755491 -0.198018 0.788144 0.260688 -0.43316 -1.04375 1.38165
0.654828 0.738465 -1.13907 0.82955 -0.270267 -0.99764
0.563893 -0.411609 0.683688 -0.568726 0.426232 -0.15531
-0.566248
2.01947 -2.11372 -1.25541 0.824271 -0.83004
0.242372 -0.467781 -0.869547
1.13022 -0.132097 -0.244272 -0.129292 -1.2763 -0.467369
0.271265 -0.0878459 0.371956 0.281032 0 -1.59742 1.56919
0.270289 -0.623148 -0.518164 0.40409 1.5675 0.947489 -2.13064
0.463916 1.43412
0.593691 -0.767298 -0.0617322 -0.444122 -0.243859 -1.89301
0.265218 1.18012 -3.59848 0.203467 0.00916067 0.153265
-0.270849
0.0640352 0.155932 1.68883 -1.14232 -0.760905
1.31076 -2.23 -0.529138 -0.817583 -0.750809 -1.34916 0.18839
2.1793 0.677626 0.706835 -0.950046 1.70784 -1.05193
1.17071 -0.950676 -0.317183
0.365851 0.148285 -1.37343 -0.21791 -1.59742 0 -0.472634
0.764216 1.03653 -1.39968 -0.348152 0.387943
0.323038 -0.931585 -0.382651 -0.378267 -0.202228
1.63898 -0.636127 0.765126 -0.164869 -0.847364 0.00546717
0.271137 -0.0542792 -1.62596
0.313471 -0.161188 -1.26574 -0.229558 -0.510641
0.407942 -0.665766 -0.444301 1.5627 -2.43865 0.321578 -1.02519
0.227414 0.398191 -0.819521 -0.830086 -0.446544 1.1594
0.744526 -2.5864 0.936224 -0.612824 -0.543582
1.67334 -0.833141 0.917176 0.838838 -0.109784 1.56919 -0.472634
0 0.970188 -0.875832 0.109639 1.26789 -0.931949
1.5364 -0.788372 1.71299 -0.960863 -0.491131 -1.53329 -0.340622
0.0339848 -1.25125 1.07744 -1.76132 0.349657 -0.429715
1.05597 -0.793749 -0.340592 -1.74679 1.29095 -2.28053 0.0820134
1.03547 -0.363845 -1.20705 -0.366488
1.35315 -1.06806 -1.0066 -0.882734 0.254198 -1.4041 0.807704
0.454136 -0.0127676 -0.769539
0.678516 -1.76917 -0.989516 -0.341727
0.0944068 0.172277 -0.786776 0.359965 0.270289 0.764216
0.970188 0 0.444688 -1.17066 -0.0887525
0.0660198 -1.08462 -0.609512 -1.24453 -0.22083 0.779118
-0.360874
1.79792 -0.65713 0.236184 0.702345 1.194 -0.0873938
1.3932 -0.631486 0.420594 0.564819
1.17393 -1.26656 -0.533927 -0.929579 -0.81317 2.09215 0.962324
0.385255 -1.48317 0.555417 0.598972 -0.71481 -0.562258
-0.381009
0.711133 2.09276 0.506124 0.234832 1.16375 0.0417107
0.756733 -0.442761 -0.789999 0.392689 -0.699816
1.14771 -0.623148 1.03653 -0.875832 0.444688 0 0.851426
1.25691 -0.751044 1.39219 0.322437 0.48891 -0.691819 -1.36573
1.98564 0.301628 0.0849024 -0.356836 0.640573 -0.435604
-0.906891
0.25104 0.697597 0.352976 0.226006 0.586916 -0.704213
1.09186 -0.642013 0.0165595 -0.156254 1.83767 -1.82343 0.223785
0.883354 -0.584634 0.805012 0.00633264 0.97417
0.414825 -0.656463 -1.07174 -1.30519 -0.441838 -1.44999
0.107518 -0.416209
0.499699 1.13592 -1.23025 -1.65902 -0.518164 -1.39968
0.109639 -1.17066 0.851426 0 -0.0397924 0.92087 -1.29316
0.949453 -0.759767 -0.482192 0.412632 1.08872 -0.879453
0.601651
1.03038 0.2082 -0.253388 -0.759521 -2.20949
1.41591 -1.06154 -1.39272 1.38948 0.233454 -1.47067 0.0980172
0.199408 1.28692 0.218707
0.575726 -0.0475188 -1.46008 -0.350814 -0.246196
0.919137 -0.805473 -0.941258 0.457846 1.91736 0.326058
0.749766 -0.118848 1.73731 0.54235 0.32942 -0.106412 0.0913872
1.29317 0.40409 -0.348152 1.26789 -0.0887525 1.25691 -0.0397924
0 -0.329613 -1.73719 -1.20596 0.14689
0.961325 -0.0950215 -0.796135 1.90839 -1.20446 2.077 -1.07654
0.276624 0.557598 -0.994002
1.48004 -0.161933 -1.81227 -0.886377 -0.516481 0.418959
0.207715 -0.742561
0.244422 -1.83441 -0.801476 -0.886416 -0.0435479 -0.0629435
-0.306472 0.599403 -0.613855 0.00771092 -0.626734 0.657122 -1.13202
1.24869 0.135714
0.213004 -0.847911 -0.104386 0.425937 -0.961162 -0.0820554
1.5675 0.387943 -0.931949 0.0660198 -0.751044 0.92087 -0.329613
0 0.0476548 -0.262078 1.25623 0.82761
1.52789 -0.963066 -0.527462 0.715203 0.598665 2.055
0.901369 -0.55967 -0.397012 -0.660356 0.117198 0.788426
-1.40331
0.0252286 -0.207434 1.23007 0.065937
1.44468 -0.773573 -0.170689 -2.44306 0.0729949 -0.456244
0.348266 -1.47169 -0.354885 -1.95705
1.14272 -0.398177 -0.302128 -0.810359 0.216162 3.33306 -1.14182
0.418526 -1.14844 1.80418 -0.505824 0.947489 0.323038
1.5364 -1.08462 1.39219 -1.29316 -1.73719 0.0476548 0 0.844457
1.40043 0.296828 -0.692271 1.34154 -0.271451
0.498617 -1.96354 -0.0554408 -0.290439 -0.986759 0.526371
1.00153 -0.481196 0.843561 0.45519 1.85627
1.87989 -0.203773 -0.0837016 -0.298336 1.88623 -0.546095
0.857545
0.206834 -1.63466 0.455984 0.151082 0.444896 0.407115 2.16546
0.0884802 -0.863582 -0.605878 0.926641 0.972374 -0.379402
1.71808 1.04536 2.19352
0.379283 -2.13064 -0.931585 -0.788372 -0.609512 0.322437
0.949453 -1.20596 -0.262078 0.844457
0 -2.00651 -0.998354 -0.295248 2.23133 0.261471
0.502684 -3.04094 -2.12479 -0.494051 1.21585 -0.203815 1.8216
0.344689 -0.445624 0.666476 -0.50237 0.385352 0.815762
0.134605 -1.80668 0.942644 1.72921 -0.836834 -1.41662 0.858412
0.83827 0.905654 -1.33385 -0.836161 -1.24452 0.901209 -1.44432
1.23131 -0.776677 -0.261088 -1.2341 -0.655536 1.42465
-0.854312 -0.429928 0.463916 -0.382651 1.71299 -1.24453
0.48891 -0.759767 0.14689 1.25623 1.40043 -2.00651 0 1.23047
0.384148 0.844764 0.269037 -1.2927 -1.30452 0.724019
0.768757 -1.08057 1.25183 0.487862 1.94835 -0.410053 -1.42386
0.243135 0.748038 -0.724988 -0.640319 0.0544846 1.18446
-2.15566
1.09833 -0.219467 0.32081 -1.15125 -0.79123
0.285226 -2.05845 -1.93075 -1.18314 1.02277 -0.703756
1.20975 -0.759782 -0.99604 -0.623498 1.37694 -1.79285
-0.0238018 1.43412 -0.378267 -0.960863 -0.22083 -0.691819 -0.482192
0.961325 0.82761 0.296828 -0.998354 1.23047 0 0.115383 -1.05179
0.160016 -0.0157988 -0.491038 1.20276 -1.72972
0.284048 -0.535522 -2.02381 0.328405 2.19702 -0.948924
0.867223 -2.13372 1.82789 -1.06 0.492206 -0.955584
0.599034 -0.650266 -0.0877927 -2.32538 -0.103089
0.558741 -0.471694 -0.13461
1.81514 -0.253008 -0.168469 -0.241407 -0.376062 -1.25916
-0.223401 0.758495 -0.0306497 -0.936338 0.755491
0.593691 -0.202228 -0.491131 0.779118 -1.36573
0.412632 -0.0950215 1.52789 -0.692271 -0.295248 0.384148
0.115383
0 -0.338628 1.49588 0.265069 0.704663 -0.25017 0.799791 1.37742
0.227155 0.455995 0.0760841 -0.123671 0.20144 -0.782851
0.909637 -1.11598 -1.11064 -0.669436 -0.206086 0.521838
0.609015
1.27121 -0.483486 -0.560713 1.67283 0.0771008 -0.300971
0.476034 -0.86569 -1.12876 0.236904 0.729546
0.262369 -0.116326 -1.52756 -1.00669 -2.0648 -0.198018
-0.767298 1.63898 -1.53329 -0.360874 1.98564
1.08872 -0.796135 -0.963066 1.34154 2.23133
0.844764 -1.05179 -0.338628
0 -0.47785 -1.98345 -0.716504 -0.69089 -0.899613 1.2281 2.17624
0.94025 -0.0374713 -0.988093 -1.3591
0.0302844 -0.850376 -0.810823 0.14167 -1.12468
0.0365631 -2.15955 -0.184452 0.0921918 0.666384 -0.222603
1.92896 -0.0666837 -0.17373 -0.283848
0.631956 -0.743467 -0.684354 -0.00509547 0.677832 -0.247801
0.712173 -0.730314 -1.34617
0.788144 -0.0617322 -0.636127 -0.340622 1.79792
0.301628 -0.879453 1.90839 -0.527462 -0.271451 0.261471
0.269037
0.160016 1.49588 -0.47785 0 -0.422271 0.423413 1.22687
0.161787 -1.13743 -1.239 0.705347 -1.64797 -1.21451
0.470059 -0.762182 -0.517904 0.52542 0.546711 0.673102
1.1322 -0.489932 1.90207 0.0525617 0.316921
0.893195 -0.770984 -1.18093 1.09174 -0.0559018
0.141735 -0.742967 -0.5294 -0.385239 -0.128992 -0.0776633
-0.678952 -0.899731 -1.3476 0.260688 -0.444122 0.765126
0.0339848 -0.65713 0.0849024 0.601651 -1.20446 0.715203
0.498617
0.502684 -1.2927 -0.0157988 0.265069 -1.98345 -0.422271
0 -0.713547 0.731747 -0.686902 1.61019
0.0938838 -1.55371 -0.00874007 -1.43884 -0.754387 -1.34875
1.96953 -0.123768 -0.224499 1.11862 1.06578 0.222975
1.50218 -0.490204 0.326529 -0.553505 0.210714
1.09532 -0.998825 -1.73495 -0.39698 -1.30778 1.35863 -1.31026
0.871619 -1.80744 -0.211229 0.172121
1.67497 -0.43316 -0.243859 -0.164869 -1.25125 0.236184
-0.356836
1.03038 2.077 0.598665 -1.96354 -3.04094 -1.30452 -0.491038
0.704663 -0.716504 0.423413 -0.713547 0 -2.05467 0.209532
1.6131 -0.14894 0.174353 -0.947081 -1.41668 0.212296
2.07449 -0.711704 0.726697 1.70684 0.498756 0.398528 1.29873
0.831429 0.384375 -0.498152 0.868749 1.19659 0.137283 0.0022477
0.745982 -0.0805188 0.0869413 1.39117 0.936617 -1.92505 1.81757
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changed n in the code to n=1..50.
my t.dat file is:
matrix: [0 0.0146716 -0.105635 -0.0878459 0.148285
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exter
Jun 3, 2007, 11:27:56 PM6/3/07
to Xpress-MP
Adding to the previous message, my file looks like: (i don't
understand by x(i) are not 0s and 1s). Thanks.
understand by x(i) are not 0s and 1s). Thanks.
model minimization
uses "mmxprs";
uses "mmquad";
declarations
n = 1..50
x: array(n) of mpvar
matrix: array(n,n) of real
end-declarations
initializations from "t.dat"
matrix
end-initializations
forall(i in n) x(i) is_binary
minimize(sum(i,j in n) x(i)*matrix(i,j)*x(j))
writeln("Minimum energy is ",getobjval)
bobdaniel
Jun 4, 2007, 4:34:05 AM6/4/07
to Xpress-MP
I suggest you place t.dat somewhere where we can pick it up. It is no
use having just part of it.
Or zip it up and email it to people who ask.
Bob
use having just part of it.
Or zip it up and email it to people who ask.
Bob
On Jun 4, 1:40 am, exter <sejoon...@hotmail.com> wrote:
> Hello. Adding to the previous message, my matrix is a 50x50 matrix. I
> changed n in the code to n=1..50.
> my t.dat file is:
> matrix: [0 0.0146716 -0.105635 -0.0878459 0.148285
> 0.917176 0.172277 0.392689 1.13592 -0.106412 0.425937 -1.14844
> 1.04536 1.42465 1.37694 -0.0306497 -1.00669 -0.730314 -0.899731
> 0.172121 0.325556 -1.67704 0.639404 0.0520135 -0.236679
> 0.102738 -0.580513 -1.59156 1.02582 0.584149 0.560393 -0.245548
> 1.96872 -0.634699 -1.66988 -0.589918 -1.15798 -0.412623
...
> ...
>
> read more »
exter
Jun 4, 2007, 9:53:21 AM6/4/07
to Xpress-MP
Adding to the previous message. I see that the status is "QP
unsolved." I was wondering how I can fix this problem. Thank you.
unsolved." I was wondering how I can fix this problem. Thank you.
exter
> > read more »- Hide quoted text -
>
> - Show quoted text -
bobdaniel
Jun 4, 2007, 1:08:49 PM6/4/07
to Xpress-MP
The Q matrix is not semi-definite, so the solver stops.
Are the data real?
Bob
Are the data real?
Bob
exter
Jun 18, 2007, 4:46:23 PM6/18/07
to Xpress-MP
Does it mean that Q must be semi-definite for xpress-mp to work? My Q
is usually not semi-definite. Then, is there another program that does
the same minimization task? Thank you.
is usually not semi-definite. Then, is there another program that does
the same minimization task? Thank you.
kleineklaus
Jun 21, 2007, 5:25:12 AM6/21/07
to Xpress-MP
I have the same problem with a MIQP.
The matrix is not semidefinite, and the solver stops after some
instants...
The matrix is not semidefinite, and the solver stops after some
instants...
is there any parameter I can set to go further in the computational
process?
thnks, kleineklaus
wind
Jun 21, 2007, 5:44:50 AM6/21/07
to Xpress-MP
This doesn't concern parameter settings at all. Xpress requires the Q
matrix be PSD; otherwise, it is not convex and it won't proceed. You
need to go back to your model....
matrix be PSD; otherwise, it is not convex and it won't proceed. You
need to go back to your model....
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