<br><font size=2 face="sans-serif">I tried with my Cygwin and that worked
as did Linux.</font>
<br>
<br><font size=2 face="sans-serif">There have been several queries about
quadratic recently and I have had even more sent to me. I apologize
for the state of Clp quadratic but I always seem to find more important
things to work on when I get the time. So I would like to gauge the
interest in quadratic and also see if there is anyone willing to help.</font>
<br>
<br><font size=2 face="sans-serif">If there is sufficient interest I can
try and fix some bugs when I get back from vacation.</font>
<br>
<br><font size=2 face="sans-serif">John Forrest</font>
<br>
<br>
<br>
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<td width=40%><font size=1 face="sans-serif"><b>J P Fasano/Watson/IBM@IBMUS</b>
</font>
<br><font size=1 face="sans-serif">Sent by: coin-lpsolver-bounces@list.coin-or.org</font>
<p><font size=1 face="sans-serif">01/20/2006 07:57 AM</font>
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<div align=right><font size=1 face="sans-serif">To</font></div>
<td><font size=1 face="sans-serif">coin-lpsolver@list.coin-or.org</font>
<tr valign=top>
<td>
<div align=right><font size=1 face="sans-serif">cc</font></div>
<td>
<tr valign=top>
<td>
<div align=right><font size=1 face="sans-serif">Subject</font></div>
<td><font size=1 face="sans-serif">Re: [Coin-lpsolver] QP in CLP</font></table>
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<br>
<br><tt><font size=2>>I thought I could just compile the sample testQP
in clp/samples.<br>
>However, I cannot get this file to run, even with the mps file used
in the<br>
>original sample code. The code crash on the line<br>
><br>
>model.loadQuadraticObjective(model.numberColumns(),start,column,element);<br>
><br>
>Does this sample really work? Any hints? I am using VC6.0<br>
<br>
I just tried building with MSVC6 and running COIN\Clp\Samples\testQP.cpp<br>
using code from the CVS repository that I updated on 1/17/2006.<br>
The sample ran without problems.<br>
This was the output:<br>
<br>
Coin0001I At line 1 NAME SHARE2B<br>
Coin0001I At line 2 ROWS<br>
Coin0001I At line 100 COLUMNS<br>
Coin0001I At line 482 RHS<br>
Coin0001I At line 495 ENDATA<br>
Coin0002I Problem SHARE2B has 96 rows, 79 columns and 694 elements<br>
Coin0001I At line 496 NAME SHARE2B<br>
Coin0001I At line 497 QSECTION<br>
Coin0001I At line 526 ENDATA<br>
Column 0 ( 0, 8.849) ( 4, 12.54) ( 40, 10.816) ( 52, 12.41)<br>
Column 4 ( 4, 25.91) ( 40, 15.02) ( 52, 28.36) ( 71, 11.878) ( 72, 10.498)<br>
Column 40 ( 40, 12.7) ( 52, 14.866)<br>
Column 52 ( 52, 23.58) ( 71, 10.46) ( 72, 9.244)<br>
Column 71 ( 71, 7.815) ( 72, 9.868)<br>
Column 72 ( 72, 6.105)<br>
Going dense for last 44 rows<br>
2928 elements in sparse Cholesky, flop count 89374<br>
Clp0035I 0 Primal 195440 Dual -2.02079e+007 Complementarity 2.367e+007
- 0<br>
fixed, rank 271<br>
Clp0035I 1 Primal 5546.09 Dual -2.33725e+006 Complementarity 5.71338e+006
-<br>
0 fixed, rank 271<br>
Clp0035I 2 Primal 158.111 Dual -580806 Complementarity 821835 - 0 fixed,<br>
rank 271<br>
Clp0035I 3 Primal 509.573 Dual -191345 Complementarity 224346 - 0 fixed,<br>
rank 271<br>
Clp0035I 4 Primal 721.547 Dual -33106.2 Complementarity 35939.4 - 0 fixed,<br>
rank 271<br>
Clp0035I 5 Primal 286.814 Dual -17246.2 Complementarity 18695.4 - 0 fixed,<br>
rank 271<br>
Clp0035I 6 Primal -232.798 Dual -1789.87 Complementarity 1595.38 - 0 fixed,<br>
rank 271<br>
Clp0035I 7 Primal -344.622 Dual -567.138 Complementarity 227.213 - 0 fixed,<br>
rank 271<br>
Clp0035I 8 Primal -379.535 Dual -435.292 Complementarity 56.3931 - 0 fixed,<br>
rank 271<br>
Clp0035I 9 Primal -389.316 Dual -424.304 Complementarity 36.4028 - 0 fixed,<br>
rank 271<br>
Clp0035I 10 Primal -398.735 Dual -403.864 Complementarity 5.28785 - 0<br>
fixed, rank 271<br>
Clp0035I 11 Primal -399.822 Dual -402.364 Complementarity 2.64704 - 0<br>
fixed, rank 271<br>
Clp0035I 12 Primal -400.856 Dual -401.015 Complementarity 0.164185 - 1<br>
fixed, rank 271<br>
Clp0035I 13 Primal -400.919 Dual -400.926 Complementarity 0.0074112 - 13<br>
fixed, rank 271<br>
Clp0035I 14 Primal -400.923 Dual -400.923 Complementarity 7.68237e-005
- 13<br>
fixed, rank 271<br>
Clp0035I 15 Primal -400.923 Dual -400.923 Complementarity 8.3008e-007 -
15<br>
fixed, rank 271<br>
Clp0035I 16 Primal -400.923 Dual -400.923 Complementarity 5.88273e-009
- 65<br>
fixed, rank 271<br>
Clp0035I 17 Primal -400.923 Dual -400.923 Complementarity 4.5562e-010 -
69<br>
fixed, rank 271<br>
Clp0035I 18 Primal -400.923 Dual -400.923 Complementarity 4.52611e-010
- 69<br>
fixed, rank 271<br>
Clp0035I 19 Primal -400.923 Dual -400.923 Complementarity 4.49262e-010
- 69<br>
fixed, rank 271<br>
Clp0046I At end primal/dual infeasibilities 0/0, complementarity gap 0,<br>
objective -400.923<br>
0 primal 0.801336<br>
1 primal 1.79889<br>
6 primal 5.83333<br>
7 primal 10.1324<br>
8 primal 55.6979<br>
9 primal 18.566<br>
10 primal 3.56596<br>
12 primal 1.75648<br>
13 primal 5.20111<br>
14 primal 4.88469<br>
16 primal 2.18642e-008<br>
17 primal 3.15772<br>
18 primal 14.845<br>
19 primal 15<br>
20 primal 1.17684<br>
23 primal 1.19635<br>
25 primal 5.83333<br>
27 primal 1<br>
29 primal 7.70988<br>
30 primal 50.7492<br>
31 primal 16.9164<br>
32 primal 5.48237<br>
33 primal 1.42355e-008<br>
34 primal 4.373e-008<br>
35 primal 9.9741e-008<br>
36 primal 5.15217e-008<br>
38 primal 8.52197e-008<br>
41 primal 4.01681e-007<br>
42 primal 2.95919e-007<br>
43 primal 5<br>
44 primal 1.15827<br>
45 primal 0.40967<br>
47 primal 2.37476<br>
49 primal 1.36829<br>
51 primal 9.20664<br>
53 primal 43.5529<br>
54 primal 14.5176<br>
55 primal 1.28761<br>
56 primal 4.00532<br>
57 primal 5.16043<br>
58 primal 1.5<br>
59 primal 7.04664<br>
62 primal 1<br>
63 primal 6.53813e-007<br>
64 primal 20.4028<br>
65 primal 20<br>
67 primal 20<br>
68 primal 1.22922<br>
69 primal 3.61992<br>
70 primal 4.83957<br>
71 primal 2.06604e-007<br>
72 primal 0.0850666<br>
73 primal 1.5<br>
74 primal 1<br>
75 primal 2.61154<br>
76 primal 1.63123e-008<br>
77 primal 12.6911<br>
78 primal 14.8853<br>
5 dual -0.313542<br>
7 dual -1.82323<br>
8 dual -1.9527<br>
9 dual -179.206<br>
10 dual -0.00375206<br>
16 dual -0.0264706<br>
19 dual -1.9717<br>
20 dual -0.70499<br>
25 dual -1.46672<br>
27 dual -2.23604<br>
28 dual -3.24248<br>
29 dual -323.852<br>
30 dual -0.0101748<br>
31 dual -0.555707<br>
32 dual -0.0936295<br>
33 dual -0.212131<br>
34 dual -0.00455062<br>
35 dual -0.00578682<br>
36 dual -0.0125641<br>
37 dual -0.0122442<br>
38 dual -0.00677723<br>
39 dual -2.81973<br>
40 dual -0.429152<br>
42 dual -13.301<br>
45 dual -0.28177<br>
47 dual -0.733361<br>
48 dual -0.722105<br>
49 dual -92.5069<br>
50 dual -0.0596389<br>
54 dual -0.0272727<br>
59 dual 0.675232<br>
60 dual -0.109424<br>
62 dual -25.7153<br>
63 dual -0.145357<br>
67 dual -9.32698<br>
70 dual -2.72124<br>
71 dual -2.92341<br>
72 dual -2.12211<br>
73 dual -2.78993<br>
74 dual -2.60962<br>
75 dual -2.87211<br>
76 dual -2.42361<br>
77 dual -2.23962<br>
78 dual 6.58039<br>
79 dual 2.88039<br>
80 dual -0.619612<br>
81 dual -3.57017<br>
82 dual -2.95352<br>
83 dual -0.253523<br>
84 dual -39.1186<br>
85 dual -2.91113<br>
86 dual -0.067444<br>
88 dual -0.311987<br>
92 dual -0.0214286<br>
95 dual 1.43987<br>
<br>
<br>
JP Fasano<br>
jpfasano@us.ibm.com<br>
(914)945-1324 (tie line 862-1324)<br>
COIN-OR www.coin-or.org<br>
<br>
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