[dune-pdelab] some problems in dune
Robert Jendrny
Robert.Jendrny at math.tu-dortmund.de
Fri Oct 31 11:36:39 CET 2014
Hey,
please find "more" output attached
I think I know where the problem is: CG should have monotone
convergence, but I do not get it ... Why?
Robert
P.S.: Stopping criteria: 1E-6
On 10/31/2014 11:14 AM, Robert Jendrny wrote:
> Sorry,
>
> I found it ;-)
>
> On 10/31/2014 11:10 AM, Robert Jendrny wrote:
>> Hi,
>>
>> I do not know how to set the verbosity :-(
>>
>> Robert
>>
>> On 10/31/2014 11:04 AM, Rebecca de Cuveland wrote:
>>> Hey Robert,
>>> could you please send some more verbose output? (verbosity 3 or 4
>>> for AMG and 1 for linear solver). normally this is the last
>>> parameter of the constructors.
>>> I would like to see the initial defect, end defect and some more
>>> information about the AMG.
>>> Thanks,
>>> Rebecca
>>>
>>
>>
>
>
--
Robert Jendrny
B.Sc. Technomathematik
TU Dortmund, Fakultät für Mathematik
LS III: Angewandte Mathematik und Numerik
M 1020, Vogelpothsweg 87, 44227 Dortmund
robert.jendrny at math.tu-dortmund.de
-------------- next part --------------
./example02 5
This is a sequential program.
Unit-Square: 1, bench1: 2 .... choice: 1
=================== Q2 - Elements ===================
LS_AMG_SOR: 1, BICGSTAB_AMG_SSOR: 2, BICGSTAB_SSOR: 3, BICGSTAB_JAC: 4, CG_JAC: 5, LS_AMG_SSOR: 6, BiCGSTAB_AMG_SOR: 7, CG_AMG_SSOR: 8, CG_SSOR: 9 .... choice: 8
Level input: 6
Used levels:7
=== solving (reduction: 1e-06) Level 0 has 4225 unknowns, 4225 unknowns per proc (procs=1)
aggregating finished.
Level 1 has 973 unknowns, 973 unknowns per proc (procs=1)
aggregating finished.
Level 2 has 231 unknowns, 231 unknowns per proc (procs=1)
aggregating finished.
Level 3 has 57 unknowns, 57 unknowns per proc (procs=1)
aggregating finished.
Level 4 has 13 unknowns, 13 unknowns per proc (procs=1)
aggregating finished.
Level 5 has 3 unknowns, 3 unknowns per proc (procs=1)
aggregating finished.
Level 6 has 1 unknowns, 1 unknowns per proc (procs=1)
operator complexity: 1.1729
Building hierarchy of 7 levels (inclusive coarse solver) took 0.406938 seconds.
=== CGSolver
Iter Defect Rate
0 0.0172526
1 0.0210733 1.22146
2 0.00541942 0.25717
3 0.00192106 0.354477
4 0.00137894 0.717801
5 0.000851245 0.617319
6 0.000429038 0.504012
7 0.000122007 0.284374
8 3.98104e-05 0.326296
9 3.7771e-05 0.948772
10 3.6612e-05 0.969316
11 2.67951e-05 0.731867
12 1.60708e-05 0.599764
13 6.08625e-06 0.378716
14 2.47277e-06 0.406288
15 1.27925e-06 0.517334
16 4.92037e-07 0.384629
17 1.97717e-07 0.401835
18 1.01383e-07 0.512766
19 4.54594e-08 0.448394
20 1.77974e-08 0.391501
21 6.24955e-09 0.351149
=== rate=0.493498, T=4.22636, TIT=0.201255, IT=21
===================Statistics for CG_AMG_SSOR===================
4225
1024
0.493498
21
./example02 6
This is a sequential program.
Unit-Square: 1, bench1: 2 .... choice: 1
=================== Q2 - Elements ===================
LS_AMG_SOR: 1, BICGSTAB_AMG_SSOR: 2, BICGSTAB_SSOR: 3, BICGSTAB_JAC: 4, CG_JAC: 5, LS_AMG_SSOR: 6, BiCGSTAB_AMG_SOR: 7, CG_AMG_SSOR: 8, CG_SSOR: 9 .... choice: 8
Level input: 7
Used levels:8
=== solving (reduction: 1e-06) Level 0 has 16641 unknowns, 16641 unknowns per proc (procs=1)
aggregating finished.
Level 1 has 3990 unknowns, 3990 unknowns per proc (procs=1)
aggregating finished.
Level 2 has 944 unknowns, 944 unknowns per proc (procs=1)
aggregating finished.
Level 3 has 227 unknowns, 227 unknowns per proc (procs=1)
aggregating finished.
Level 4 has 55 unknowns, 55 unknowns per proc (procs=1)
aggregating finished.
Level 5 has 13 unknowns, 13 unknowns per proc (procs=1)
aggregating finished.
Level 6 has 3 unknowns, 3 unknowns per proc (procs=1)
aggregating finished.
Level 7 has 1 unknowns, 1 unknowns per proc (procs=1)
operator complexity: 1.17578
Building hierarchy of 8 levels (inclusive coarse solver) took 1.63975 seconds.
=== CGSolver
Iter Defect Rate
0 0.00865343
1 0.0166949 1.92928
2 0.00462324 0.276925
3 0.00141242 0.305504
4 0.00106642 0.755031
5 0.000795909 0.746339
6 0.000568779 0.714628
7 0.000480135 0.84415
8 0.0003864 0.804775
9 0.000317033 0.820477
10 0.000276829 0.873186
11 0.000194476 0.702515
12 8.35716e-05 0.429726
13 2.71035e-05 0.324315
14 1.18314e-05 0.436528
15 1.02577e-05 0.866989
16 8.68054e-06 0.846243
17 7.47484e-06 0.861104
18 8.15229e-06 1.09063
19 7.6986e-06 0.944348
20 7.0272e-06 0.912789
21 6.05691e-06 0.861924
22 4.96701e-06 0.820057
23 4.33934e-06 0.873632
24 2.53695e-06 0.58464
25 1.20403e-06 0.474598
26 7.74543e-07 0.64329
27 7.22957e-07 0.933398
28 4.5114e-07 0.62402
29 3.00527e-07 0.66615
30 1.93077e-07 0.642461
31 9.95553e-08 0.515625
32 7.03436e-08 0.706578
33 4.60885e-08 0.655192
34 3.41277e-08 0.740482
35 2.90467e-08 0.851119
36 1.91391e-08 0.658906
37 1.14153e-08 0.596439
38 6.10633e-09 0.534926
=== rate=0.688844, T=30.0684, TIT=0.791274, IT=38
===================Statistics for CG_AMG_SSOR===================
16641
4096
0.688844
38
./example02 7
This is a sequential program.
Unit-Square: 1, bench1: 2 .... choice: 1
=================== Q2 - Elements ===================
LS_AMG_SOR: 1, BICGSTAB_AMG_SSOR: 2, BICGSTAB_SSOR: 3, BICGSTAB_JAC: 4, CG_JAC: 5, LS_AMG_SSOR: 6, BiCGSTAB_AMG_SOR: 7, CG_AMG_SSOR: 8, CG_SSOR: 9 .... choice: 8
Level input: 8
Used levels:9
=== solving (reduction: 1e-06) Level 0 has 66049 unknowns, 66049 unknowns per proc (procs=1)
aggregating finished.
Level 1 has 16166 unknowns, 16166 unknowns per proc (procs=1)
aggregating finished.
Level 2 has 3833 unknowns, 3833 unknowns per proc (procs=1)
aggregating finished.
Level 3 has 919 unknowns, 919 unknowns per proc (procs=1)
aggregating finished.
Level 4 has 219 unknowns, 219 unknowns per proc (procs=1)
aggregating finished.
Level 5 has 53 unknowns, 53 unknowns per proc (procs=1)
aggregating finished.
Level 6 has 13 unknowns, 13 unknowns per proc (procs=1)
aggregating finished.
Level 7 has 3 unknowns, 3 unknowns per proc (procs=1)
aggregating finished.
Level 8 has 1 unknowns, 1 unknowns per proc (procs=1)
operator complexity: 1.17622
Building hierarchy of 9 levels (inclusive coarse solver) took 6.69998 seconds.
=== CGSolver
Iter Defect Rate
0 0.0043335
1 0.0128391 2.96275
2 0.00396673 0.308958
3 0.00108385 0.273234
4 0.000761477 0.702568
5 0.000616108 0.809096
6 0.000433434 0.703503
7 0.000379941 0.876585
8 0.000303788 0.799565
9 0.000272125 0.895772
10 0.00025794 0.947875
11 0.000217133 0.841796
12 0.000201771 0.929249
13 0.0001735 0.859886
14 0.000154309 0.889388
15 0.000139575 0.904517
16 0.000129119 0.925086
17 0.00012115 0.938287
18 0.000106028 0.87518
19 0.000101263 0.95506
20 9.32959e-05 0.921319
21 7.82891e-05 0.839148
22 5.75569e-05 0.735183
23 2.99829e-05 0.520926
24 1.22873e-05 0.40981
25 5.26952e-06 0.428859
26 4.42491e-06 0.839719
27 4.47343e-06 1.01096
28 3.19637e-06 0.714524
29 2.71858e-06 0.85052
30 2.29033e-06 0.842472
31 1.83138e-06 0.799615
32 1.68759e-06 0.921488
33 1.55517e-06 0.921528
34 1.49858e-06 0.963616
35 1.49471e-06 0.997416
36 1.4626e-06 0.978516
37 1.49606e-06 1.02288
38 1.45727e-06 0.97407
39 1.46303e-06 1.00396
40 1.35643e-06 0.927137
41 1.29627e-06 0.955642
42 1.22971e-06 0.948659
43 1.22981e-06 1.00008
44 1.27474e-06 1.03654
45 1.27531e-06 1.00045
46 9.88371e-07 0.775003
47 5.51073e-07 0.557557
48 3.17006e-07 0.575253
49 2.67295e-07 0.843186
50 2.30187e-07 0.861172
51 1.54195e-07 0.669868
52 1.52572e-07 0.989477
53 1.66214e-07 1.08941
54 1.23347e-07 0.742099
55 1.18233e-07 0.958539
56 1.01708e-07 0.860229
57 6.89411e-08 0.677836
58 5.82569e-08 0.845024
59 3.96263e-08 0.680199
60 3.00117e-08 0.757369
61 2.35474e-08 0.784609
62 1.75524e-08 0.745406
63 1.54402e-08 0.879665
64 1.24792e-08 0.808227
65 9.87335e-09 0.791185
66 7.43059e-09 0.75259
67 5.8846e-09 0.791942
68 5.97502e-09 1.01537
69 6.39177e-09 1.06975
70 6.00072e-09 0.93882
71 4.19687e-09 0.699394
=== rate=0.822805, T=224.982, TIT=3.16876, IT=71
===================Statistics for CG_AMG_SSOR===================
66049
16384
0.822805
71
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