solver_predata.mat

# Created by Octave 4.2.1, Sun Nov 05 21:48:05 2017 IST <gadi@Gadi-Workstation>
# name: smoothMesh
# type: scalar struct
# ndims: 2
 1 1
# length: 11
# name: vlfs
# type: matrix
# rows: 32
# columns: 2
 57.47405725 47.47405725
 -57.47405724999999 47.47405725
 -57.47405724999999 -57.47405724999999
 57.47405725 -57.47405724999999
 -20 -20
 -20 10
 20 10
 20 -20
 10 5
 -10 5
 -10 -15
 10 -15
 20 -10
 10 -10
 -10 -10
 -20 -10
 -10 0
 -20 0
 20 0
 10 0
 7.105427357601001e-15 47.47405725
 57.47405725 -4.999999999999996
 -57.47405724999999 -4.999999999999996
 7.105427357601001e-15 -57.47405724999999
 0 -20
 0 10
 0 5
 0 -15
 -10 -20
 -10 10
 10 -20
 10 10


# name: tlfs
# type: matrix
# rows: 54
# columns: 3
 8 24 4
 8 4 22
 5 3 24
 5 23 3
 2 23 6
 2 6 21
 7 22 1
 7 1 21
 16 23 5
 13 8 22
 18 6 23
 18 23 16
 11 16 5
 19 22 7
 19 13 22
 12 8 13
 30 21 6
 30 26 21
 29 11 5
 29 5 24
 29 24 25
 10 6 18
 10 30 6
 32 7 21
 32 21 26
 31 8 12
 31 24 8
 31 25 24
 9 19 7
 9 7 32
 15 16 11
 15 11 28
 14 12 13
 14 28 12
 17 10 18
 17 27 10
 20 19 9
 20 9 27
 29 28 11
 29 25 28
 10 27 26
 10 26 30
 31 28 25
 31 12 28
 9 26 27
 9 32 26
 17 16 15
 17 18 16
 17 28 27
 17 15 28
 20 14 13
 20 13 19
 20 27 28
 20 28 14


# name: hlfs
# type: matrix
# rows: 32
# columns: 1
 49.46575557000001
 49.46575557000001
 49.46575557000001
 49.46575557000001
 10
 10
 10
 10
 5
 5
 5
 5
 10
 5
 5
 10
 5
 10
 10
 5
 47.47405725
 47.80614985390972
 47.8061498539097
 47.47405724999999
 10
 10
 10
 10
 10
 10
 10
 10


# name: slfs
# type: scalar struct
# ndims: 2
 1 1
# length: 3
# name: xx
# type: matrix
# rows: 1
# columns: 4
 -57.47405725003448 -57.47405725003148 57.47405725003449 47.47405725003149


# name: ii
# type: matrix
# rows: 1
# columns: 2
 0 0


# name: ll
# type: cell
# rows: 1
# columns: 1
# name: <cell-element>
# type: matrix
# rows: 54
# columns: 1
 1
 2
 3
 4
 5
 6
 7
 8
 9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54







# name: etri
# type: matrix
# rows: 78
# columns: 2
 9 20
 10 17
 11 15
 12 14
 13 25
 14 26
 15 27
 15 28
 17 29
 19 30
 14 25
 20 26
 16 27
 17 28
 18 29
 20 30
 9 33
 11 34
 10 37
 12 38
 33 37
 34 38
 31 39
 32 40
 35 39
 36 40
 5 50
 6 51
 13 52
 16 53
 8 54
 7 55
 16 50
 18 51
 19 52
 18 53
 35 54
 36 55
 7 68
 8 69
 5 70
 6 71
 19 68
 13 69
 31 70
 32 71
 22 106
 23 107
 42 106
 43 107
 1 118
 1 119
 2 120
 3 121
 2 122
 4 123
 3 124
 4 125
 21 126
 24 127
 21 128
 22 129
 23 130
 24 131
 41 118
 42 119
 43 120
 44 121
 45 122
 46 123
 47 124
 48 125
 41 126
 44 127
 45 128
 46 129
 47 130
 48 131


# name: tria
# type: matrix
# rows: 272
# columns: 3
 123 125 4
 124 3 121
 106 42 150
 118 41 109
 118 119 1
 148 109 41
 148 41 126
 95 7 85
 138 150 42
 71 105 91
 6 71 91
 6 51 71
 84 63 73
 84 51 6
 141 24 131
 136 125 123
 136 123 46
 110 136 76
 110 48 125
 110 125 136
 112 46 129
 112 136 46
 112 76 136
 112 92 76
 60 92 112
 60 129 22
 60 112 129
 68 85 7
 68 7 55
 97 148 56
 97 95 74
 97 74 109
 97 109 148
 87 7 95
 87 55 7
 87 97 56
 87 95 97
 96 95 85
 96 150 138
 96 74 95
 96 138 74
 144 42 119
 144 138 42
 144 118 109
 144 119 118
 144 109 74
 144 74 138
 137 124 121
 137 47 124
 113 130 47
 113 47 137
 113 137 77
 113 77 93
 88 16 73
 53 73 16
 151 152 63
 151 139 43
 101 63 84
 101 151 63
 101 139 151
 58 132 143
 81 40 78
 82 143 132
 82 81 78
 82 132 81
 82 21 143
 145 43 139
 128 143 21
 142 127 24
 115 57 90
 98 90 57
 98 110 76
 98 76 92
 98 92 90
 146 48 110
 146 131 48
 146 98 57
 146 110 98
 146 141 131
 146 57 141
 52 13 72
 116 87 56
 62 113 93
 62 93 88
 62 130 113
 62 63 152
 62 23 130
 62 152 23
 62 73 63
 62 88 73
 18 73 53
 18 84 73
 18 51 84
 107 151 43
 107 23 152
 107 152 151
 32 105 71
 32 81 105
 32 40 81
 100 84 6
 100 101 84
 100 6 91
 114 105 81
 114 81 132
 114 132 58
 114 91 105
 114 58 91
 140 56 148
 140 148 126
 140 126 21
 140 21 82
 120 43 145
 120 122 2
 120 145 122
 94 91 58
 94 100 91
 83 24 141
 83 142 24
 83 135 142
 147 44 127
 147 127 142
 5 88 93
 39 79 35
 133 141 57
 133 57 115
 133 83 141
 133 115 79
 133 79 83
 8 90 92
 25 13 52
 103 115 90
 103 79 115
 103 35 79
 66 65 49
 66 26 65
 20 65 26
 20 33 65
 20 9 33
 36 78 40
 36 9 55
 36 40 33
 36 33 9
 86 72 13
 86 8 92
 86 92 60
 86 60 72
 61 96 85
 61 85 72
 61 72 60
 61 150 96
 134 82 78
 134 78 116
 134 140 82
 134 116 56
 134 56 140
 37 33 40
 37 40 32
 29 51 18
 29 18 53
 108 45 122
 108 122 145
 111 77 137
 111 44 147
 111 121 44
 111 137 121
 59 142 135
 59 147 142
 80 79 39
 80 83 79
 80 135 83
 69 13 25
 69 86 13
 69 8 86
 54 35 103
 54 8 69
 54 90 8
 54 103 90
 38 66 49
 38 39 35
 30 9 20
 30 20 26
 102 116 78
 102 78 36
 102 36 55
 102 55 87
 102 87 116
 153 60 22
 153 61 60
 153 150 61
 153 22 106
 153 106 150
 64 28 67
 64 67 49
 64 49 65
 64 65 33
 64 33 37
 10 37 32
 10 32 71
 149 45 108
 149 128 45
 149 94 58
 149 108 94
 149 58 143
 149 143 128
 75 94 108
 75 139 101
 75 145 139
 75 108 145
 75 101 100
 75 100 94
 117 59 135
 117 135 80
 117 80 104
 99 93 77
 99 77 111
 99 111 147
 99 147 59
 34 39 38
 34 49 67
 34 38 49
 15 67 28
 15 34 67
 15 11 34
 12 38 35
 12 35 54
 19 68 30
 19 30 52
 19 52 72
 19 85 68
 19 72 85
 17 64 37
 17 37 10
 17 28 64
 17 10 29
 17 29 28
 89 59 117
 89 99 59
 89 117 104
 89 5 93
 89 93 99
 89 104 70
 89 70 5
 31 70 104
 31 11 70
 31 104 80
 31 80 39
 31 39 34
 31 34 11
 50 5 70
 50 16 88
 50 88 5
 14 66 38
 14 38 12
 14 12 25
 14 25 26
 14 26 66
 27 11 15
 27 16 50
 27 53 16
 27 15 28
 30 55 9
 30 68 55
 30 25 52
 30 26 25
 10 51 29
 10 71 51
 12 54 69
 12 69 25
 27 50 70
 27 70 11
 27 29 53
 27 28 29


# name: tnum
# type: matrix
# rows: 272
# columns: 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 4
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 4
 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
 3
 1
 1
 1
 1
 1
 1
 1
 1
 1
 4
 4
 4
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 4
 4
 4
 3
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 2
 1
 1
 1
 2
 1
 1
 1
 2
 4
 3
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 4
 4
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 1
 2
 1
 1
 1
 1
 1
 2
 2
 4
 3
 1
 1
 1
 1
 1
 1
 4
 3
 1
 1
 1
 1
 1
 1
 1
 1
 2
 1
 1
 2
 2
 2
 1
 1
 1
 1
 2
 3
 1
 2
 2
 3
 3
 4
 4
 3
 3
 4
 4
 2
 2
 2
 2
 3
 3


# name: vert
# type: matrix
# rows: 153
# columns: 2
 57.47405725 47.47405725
 -57.47405724999999 47.47405725
 -57.47405724999999 -57.47405725
 57.47405725 -57.47405725
 -20 -20
 -20 9.999999999999998
 20 9.999999999999998
 20 -20
 10 5
 -10 5
 -10 -15
 10 -15
 20 -10
 10 -10
 -10 -10
 -20 -10
 -10 0
 -20 0
 20 0
 10 0
 7.105427357601002e-15 47.47405725
 57.47405725 -4.999999999999996
 -57.47405724999999 -4.999999999999996
 7.105427357601002e-15 -57.47405724999999
 15 -10
 10 -5
 -15 -10
 -10 -5
 -15 0
 15 0
 -10 -20
 -10 9.999999999999998
 3.359375 5
 -3.359375 -15
 10 -20
 10 9.999999999999998
 -3.359375 5
 3.359375 -15
 0 -20
 0 9.999999999999998
 28.73702862500001 47.47405725
 57.47405725 21.237028625
 -57.47405724999999 21.237028625
 -28.73702862499999 -57.47405724999999
 -28.73702862499999 47.47405725
 57.47405725 -31.23702862499999
 -57.47405724999999 -31.23702862499999
 28.73702862500001 -57.47405724999999
 0.13258421984353 -8.430170766536218
 -20 -15
 -20 5
 20 -5
 -20 -5
 15 -20
 15 9.999999999999998
 16.24113332851552 28.01005365007433
 16.79378724239004 -37.78973927863567
 -16.27972725760916 27.89290698778876
 -16.80028601287895 -37.85791730663802
 41.89140578049035 -11.49844402676139
 37.64218848150797 2.28952445979575
 -41.89196024505603 -11.49551510064291
 -37.66380424834811 2.29785701896024
 -2.829178197623003 -1.402112415986482
 3.966388392085416 -2.443051718981712
 5.421357319972198 -8.410829090210855
 -5.249365886805927 -8.110314076134546
 20 5
 20 -15
 -15 -20
 -14.99999999999999 9.999999999999998
 28.42751874199957 -4.564416277966937
 -28.42684066093124 -4.564986769331425
 34.94505424449603 23.76599116079687
 -34.97391128547008 23.7258938103682
 36.23638557393025 -33.65053692934201
 -36.23985025133303 -33.65061852737274
 4.614794560695607 18.9692493800322
 4.717247144190504 -29.00135362908895
 -4.701657515919702 -28.99397232036199
 -4.630647474848118 18.96383932808177
 -0.01445406217974936 31.04848142888473
 0.0001266330804658235 -41.09117861051266
 -27.40933193556209 5.62637357622396
 27.27689688891809 5.652529777610646
 27.88492955982662 -13.81642165616408
 18.22716688029272 18.15582356382798
 -27.8829600298749 -13.81715435341282
 -19.44192174030852 -27.65450646958409
 19.44204725187652 -27.66036174177405
 -18.3692694571724 18.04765569803037
 31.00816848656508 -23.16242848012438
 -31.00865318634764 -23.16047313625911
 -25.1880023122191 25.96642169825545
 26.84286609361403 15.88394071555043
 35.99038637358117 12.77614692052925
 25.18689973196643 26.13304838570832
 26.14599767658281 -35.187075300421
 -26.15088958437076 -35.19619095198437
 -26.86964049529045 15.84371820572965
 -36.0530909419716 12.78974704758541
 11.74584756742349 15.81524351682938
 12.37838047683362 -25.70269912129241
 -12.36695053796486 -25.69420770035749
 -11.74392576742901 15.75328155055108
 57.47405725 8.118514312500002
 -57.47405724999999 8.118514312500002
 -33.45090387025689 35.50391251591211
 33.46956696359766 35.56084076047024
 33.59815891153803 -45.56901170770605
 -33.60309302056179 -45.57387205830984
 45.01772256420744 -25.90254009869142
 -45.01990624997165 -25.90287184248926
 -12.09567359862759 21.72088087048066
 12.55647508932659 -31.56533599761087
 12.07434512387353 21.78984018129735
 -12.57621465438886 -31.64317904484701
 43.1055429375 47.47405725
 57.47405725 34.3555429375
 -57.47405724999999 34.3555429375
 -43.10554293749999 -57.47405724999999
 -43.10554293749999 47.47405725
 57.47405725 -44.35554293749999
 -57.47405724999999 -44.35554293749999
 43.1055429375 -57.47405724999999
 14.3685143125 47.47405725
 -14.36851431249999 -57.47405724999999
 -14.36851431249999 47.47405725
 57.47405725 -18.1185143125
 -57.47405724999999 -18.1185143125
 14.3685143125 -57.47405724999999
 -8.121599381497985 27.34921941365117
 8.329040233952533 -37.28947667311301
 8.114080954709058 27.43342525455465
 -8.319104562704899 -37.31323176733126
 45.46112023921186 -40.89425570671018
 -45.4608097401558 -40.89462564898831
 44.61889308589772 20.55264372295254
 -44.65125219750891 20.55414416339691
 9.37654709704181 36.95525946492154
 9.57650381017627 -46.85322706445236
 -9.576418012736942 -46.86054132146569
 -9.410970353099744 36.90474338870975
 45.60778923509396 31.46417716799172
 -45.60993993814609 31.46362812987367
 21.7355522932393 -46.78669514954958
 -21.74487950989914 -46.80079548938932
 21.33760843692312 37.06044048607179
 -21.34959294989647 36.94571496578116
 47.1896508434252 11.07959963894025
 -47.19621446218162 11.08544738599894
 -47.78544092600978 0.3538802470186484
 47.7830113272291 0.3477482138161587


# name: node
# type: matrix
# rows: 20
# columns: 2
 57.47405725 47.47405725
 -57.47405724999999 47.47405725
 -57.47405724999999 -57.47405724999999
 57.47405725 -57.47405724999999
 -20 -20
 -20 10
 20 10
 20 -20
 10 5.000000000000001
 -10 5.000000000000001
 -10 -15
 10 -15
 20 -10
 10 -10
 -10 -10
 -20 -10
 -10 0
 -20 0
 20 0
 10 0


# name: edge
# type: matrix
# rows: 44
# columns: 2
 1 2
 2 3
 3 4
 4 1
 5 16
 16 18
 18 6
 6 7
 7 19
 19 13
 13 8
 8 5
 9 10
 10 17
 17 15
 15 11
 11 12
 12 14
 14 20
 20 9
 13 14
 14 12
 12 11
 11 15
 15 16
 16 5
 5 8
 8 13
 17 18
 18 16
 16 15
 15 17
 19 20
 20 14
 14 13
 13 19
 7 6
 6 18
 18 17
 17 10
 10 9
 9 20
 20 19
 19 7


# name: face
# type: cell
# rows: 4
# columns: 1
# name: <cell-element>
# type: matrix
# rows: 20
# columns: 1
 1
 2
 3
 4
 5
 6
 7
 8
 9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20


# name: <cell-element>
# type: matrix
# rows: 8
# columns: 1
 21
 22
 23
 24
 25
 26
 27
 28


# name: <cell-element>
# type: matrix
# rows: 8
# columns: 1
 29
 30
 31
 32
 33
 34
 35
 36


# name: <cell-element>
# type: matrix
# rows: 8
# columns: 1
 37
 38
 39
 40
 41
 42
 43
 44







# name: materialAssignment
# type: cell
# rows: 1
# columns: 4
# name: <cell-element>
# type: sq_string
# elements: 1
# length: 7
default



# name: <cell-element>
# type: sq_string
# elements: 1
# length: 10
plastic310



# name: <cell-element>
# type: sq_string
# elements: 1
# length: 10
plastic550



# name: <cell-element>
# type: sq_string
# elements: 1
# length: 10
plastic720





# name: materialList
# type: cell
# rows: 4
# columns: 1
# name: <cell-element>
# type: scalar struct
# ndims: 2
 1 1
# length: 9
# name: name
# type: sq_string
# elements: 1
# length: 7
default


# name: er
# type: scalar
1


# name: mr
# type: scalar
1


# name: type
# type: sq_string
# elements: 1
# length: 6
normal


# name: cond_e
# type: scalar
1e+20


# name: cond_m
# type: scalar
1e+20


# name: tand_e
# type: scalar
0


# name: tand_m
# type: scalar
0


# name: f_m
# type: scalar
0




# name: <cell-element>
# type: scalar struct
# ndims: 2
 1 1
# length: 9
# name: name
# type: sq_string
# elements: 1
# length: 10
plastic310


# name: er
# type: scalar
3.1


# name: mr
# type: scalar
1


# name: type
# type: sq_string
# elements: 1
# length: 6
normal


# name: cond_e
# type: scalar
1e+20


# name: cond_m
# type: scalar
1e+20


# name: tand_e
# type: scalar
0


# name: tand_m
# type: scalar
0


# name: f_m
# type: scalar
0




# name: <cell-element>
# type: scalar struct
# ndims: 2
 1 1
# length: 9
# name: name
# type: sq_string
# elements: 1
# length: 10
plastic550


# name: er
# type: scalar
5.5


# name: mr
# type: scalar
1


# name: type
# type: sq_string
# elements: 1
# length: 6
normal


# name: cond_e
# type: scalar
1e+20


# name: cond_m
# type: scalar
1e+20


# name: tand_e
# type: scalar
0


# name: tand_m
# type: scalar
0


# name: f_m
# type: scalar
0




# name: <cell-element>
# type: scalar struct
# ndims: 2
 1 1
# length: 9
# name: name
# type: sq_string
# elements: 1
# length: 10
plastic720


# name: er
# type: scalar
7.2


# name: mr
# type: scalar
1


# name: type
# type: sq_string
# elements: 1
# length: 6
normal


# name: cond_e
# type: scalar
1e+20


# name: cond_m
# type: scalar
1e+20


# name: tand_e
# type: scalar
0


# name: tand_m
# type: scalar
0


# name: f_m
# type: scalar
0







# name: meshProps
# type: scalar struct
# ndims: 2
 1 1
# length: 7
# name: relWLmeshMax
# type: scalar
0.33


# name: boundingBoxAddSpace
# type: scalar
0.125


# name: useFreespaceWLonly
# type: scalar
0


# name: algorithmType
# type: sq_string
# elements: 1
# length: 8
delaunay


# name: aspectRatioGrad
# type: scalar
1


# name: stitchingTolerance
# type: scalar
1e-08


# name: performMeshSmoothing
# type: scalar
1




# name: simProps
# type: scalar struct
# ndims: 2
 1 1
# length: 13
# name: fMin
# type: scalar
1


# name: fMax
# type: scalar
2


# name: lengthUnits
# type: sq_string
# elements: 1
# length: 2
mm


# name: freqUnits
# type: sq_string
# elements: 1
# length: 3
GHz


# name: timeUnits
# type: sq_string
# elements: 1
# length: 4
nsec


# name: numFreqSamps
# type: scalar
1001


# name: adaptiveFreq
# type: scalar
1.5


# name: fieldMonitorFreqs
# type: null_matrix
# rows: 0
# columns: 0


# name: meshProps
# type: scalar struct
# ndims: 2
 1 1
# length: 7
# name: relWLmeshMax
# type: scalar
0.33


# name: boundingBoxAddSpace
# type: scalar
0.25


# name: useFreespaceWLonly
# type: scalar
0


# name: algorithmType
# type: sq_string
# elements: 1
# length: 8
delaunay


# name: aspectRatioGrad
# type: scalar
1


# name: stitchingTolerance
# type: scalar
1e-08


# name: performMeshSmoothing
# type: scalar
1




# name: polarizationType
# type: sq_string
# elements: 1
# length: 3
TEM


# name: solutionType
# type: sq_string
# elements: 1
# length: 13
Port Infusion


# name: minNumOfPasses
# type: scalar
3


# name: maxNumOfPasses
# type: scalar
6