Å C2`>×çbç`>çÍ
î=d
Nû`¤
:
Ù−p
²=
-î•
²=
½-¶ i˜¶Dhi˜På¶Êú¼
£
d¼µ!ZÇ,5ªœ}&
û˝Þ
:
Š
6Ì ª
2
M ¬ Å
ÿ ý ~
¿b
¡V‚à–1ÇCuç3¼µÇV«nç©–1ç35A^
,˛éOí^ï
n…ç6˙t¨{k
1981T|½-¶
,.OT
¯7}&xX
,6Ó‹7¼µ!Z
Çíõà4Dªè4 Åqç6>\6k
2007T|7ZG½-¶5}&¥
,ò
s7ʽ-Mó°vFb«nívÈ
ÊÅqíû˝2
,ç
6˜Fk
2004FT|íi˜¶Di˜På¶
,6§
ƒ
rÖû˝¼µ!ZÇç65Ü“
,Ĥ
,…û˝T|ZG(5hi˜På¶
,Ò*
½-¶ i˜¶Dhi˜På¶}«nÊú¼£d¼µ!ZÇ,
,Áý>˜b5
A^
…û˝êÛ
:J
G = (V, E)ÑL<ú¼£dÝ=²Ç
,ÊùµDúµÝ
õ5qŸbîó°í‘K-
, 1.N¬½-¶õÒlDi˜¶íÝõ½bükkhi˜På¶íÝõ½b
,F)
10_Çí>˜,b|ýѽ-¶
,wŸÑi˜¶
,>˜,b|ÖÑh
i˜På¶
2.N¬½-¶õÒlDhi˜På¶íÝõ½bükki˜¶íÝõ½b
,F)
10_Çí>˜,b|ýѽ-¶
,wŸÑhi˜På¶
,>˜b,|
ÖÑi˜¶
3.N¬½-¶õÒlDi˜¶íÝõ½bkhi˜På¶íÝõ½b
,F)
208_Çí>˜,b|ýѽ-¶
,i˜¶Dhi˜På¶>˜,b†
ó°
4.N¬½-¶õÒlDi˜¶íÝõ½bükkhi˜På¶íÝõ½b
,F)
2_Çí>˜,b|ýѽ-¶Di˜¶
,>˜,b|ÖÑhi˜P
å¶
5.N¬½-¶õÒlDi˜¶íÝõ½bkhi˜På¶íÝõ½b
,F)
446_Çí>˜,búj¶îó°
6.½-¶Áý>˜i(5ÇÑ|7Ç
ÉœÈ
:¼µÇ
,½-¶
,i˜¶
,hi˜På¶
,Áý>˜i
Abstract
In the recent year, we have a significant effect making use of the concept diagram or the learning hierarchy map to confer concept learning. Kozo Sugiyama proposed BCM in 1981, not only to promote technology of analysis but also to increase the practicability and readability of hierarchical graph. A modified BCM developed by Tsai reduced time spend on discussion when the identical Barycenter.
Liu proposed EM and EOM in 2004, had been highly regarded among the scholars studying hierarchy. Thus, our purpose is to improved of EOM and then on effects of BCM, EM and NEOM for reducing the crossed edges in proper hierarchical graphs of three layers.
Our results are as follows. Assume that G is a proper hierarchical graph of three layers and has the same indegrees in the 2nd and 3rd layers.
1. We obtain 10 graphs in which the number of the crossed edges reduced by BCM, EM and NEOM respectively has the following relation; BCM < EM < NEOM. 2. We obtain 10 graphs in which the number of the crossed edges reduced by BCM, EM and NEOM respectively has the following relation; BCM < NEOM < EM. 3. We obtain 208 graphs in which the number of the crossed edges reduced by BCM, EM and NEOM respectively has the following relation; BCM < EM = NEOM. 4. We obtain 2 graphs in which the number of the crossed edges reduced by BCM, EM and NEOM respectively has the following relation; BCM = EM < NEOM. 5. We obtain 446 graphs in which the number of the crossed edges reduced by BCM, EM and NEOM respectively has the following relation; BCM = EM = NEOM. 6. The graph obtained by BCM has the minimal number of the crossed edges for
all proper hierarchical graphs of three layers.
Keywords: BCM, EM, NEOM, crossed edges, proper hierarchical graphs. ii
ñŸ
øı é
ø û˝œ
. . . 01ù û˝ñíD&½æ
. . . 03ú ¯Uì2
. . . 03û û˝Ì„
. . . 07ùı d.«n
ø ½-¶ÊÁý>˜i5}&
. . . 09ù ˜F5i˜¶
. . . 21ú hi˜På¶
. . . 23û óÉõ„4û˝
. . . 26úı j¶D¥
ø ½-¶5
Matlab˙qlÜ1
. . . 33ù ½-¶Êú¼£d¼µÇ5}&¥
. . . 33ú i˜¶Dhi˜På¶5
Matlab˙qlÜ1
. . . 35û i˜¶Dhi˜På¶5
Matlab˙ÏW¥
. . . 36ûı !‹Dn
ø úÁý>˜ij¶5A^ªœ
. . . 39ù õWð„
. . . 41üı !D‡
ø !
. . . 47ù ‡
. . . 48¡5d.
. . . 49Ë“
. . . 55[ñŸ
[ 2.4.1 Áý>˜i(Ç$í>˜b . . . 28
ÇñŸ
Ç
1.R¦A
K. Sugiyama (1981)5d
ıí¼µ!ZÇ
. . . 13Ç
2.¼µÇ
. . . 16Ç
3.¼µÇ
. . . 19Ç
4.¼µÇ
. . . 19Ç
5.Yν-¶§å(FßÞí¼µ!ZÇ
. . . .21Ç
4.2.1 3¼£d¼µÇ
. . . 41Ç
4.2.2½-¶5Ç
. . . 41Ç
4.2.3i˜¶5Ç
. . . 42Ç
4.2.4hi˜På¶5Ç
. . . 42Ç
4.2.5 3¼£d¼µÇ
. . . 42Ç
4.2.6½-¶5Ç
. . . 42Ç
4.2.7i˜¶5Ç
. . . 42Ç
4.2.8hi˜På¶5Ç
. . . 42Ç
4.2.9 3¼£d¼µÇ
. . . 43Ç
4.2.10½-¶5Ç
. . . 43Ç
4.2.11i˜¶5Ç
. . . 43Ç
4.2.12hi˜På¶5Ç
. . . 43Ç
4.2.13 3¼£d¼µÇ
. . . 44Ç
4.2.14½-¶5Ç
. . . 44Ç
4.2.15i˜¶5Ç
. . . 44Ç
4.2.16hi˜På¶5Ç
. . . 44Ç
4.2.17 3¼£d¼µÇ
. . . 45Ç
4.2.18½-¶5Ç
. . . 45Ç
4.2.19i˜¶5Ç
. . . 45Ç
4.2.20hi˜På¶5Ç
. . . 45Ç
4.2.21 3¼£d¼µÇ
. . . 45Ç
4.2.22½-¶5Ç
. . . 45Ç
4.2.23i˜¶5Ç
. . . 46Ç
4.2.24hi˜På¶5Ç
. . . 46Ç
1.1ŸÇ
. . . 55Ç
1.2½-¶5Ç
. . . 55Ç
1.3i˜¶5Ç
. . . .55Ç
1.4hi˜På¶5Ç
. . . 55Ç
2.1ŸÇ
. . . 55Ç
2.2½-¶5Ç
. . . 55Ç
2.3i˜¶5Ç
. . . .56Ç
2.4hi˜På¶5Ç
. . . 56Ç
3.1ŸÇ
. . . 56Ç
3.2½-¶5Ç
. . . 56Ç
3.3i˜¶5Ç
. . . .56Ç
3.4hi˜På¶5Ç
. . . 56Ç
4.1ŸÇ
. . . 57Ç
4.2½-¶5Ç
. . . 57Ç
4.3i˜¶5Ç
. . . .57Ç
4.4hi˜På¶5Ç
. . . 57Ç
5.1ŸÇ
. . . 57Ç
5.2½-¶5Ç
. . . 57Ç
5.3i˜¶5Ç
. . . .58Ç
5.4hi˜På¶5Ç
. . . 58Ç
6.1ŸÇ
. . . 58Ç
6.2½-¶5Ç
. . . 58Ç
6.3i˜¶5Ç
. . . .58Ç
6.4hi˜På¶5Ç
. . . 58Ç
7.1ŸÇ
. . . 59Ç
7.2½-¶5Ç
. . . 59Ç
7.3i˜¶5Ç
. . . .59Ç
7.4hi˜På¶5Ç
. . . 59Ç
8.1ŸÇ
. . . 59Ç
8.2½-¶5Ç
. . . 59Ç
8.3i˜¶5Ç
. . . .60Ç
8.4hi˜På¶5Ç
. . . 60Ç
9.1ŸÇ
. . . 60Ç
9.2½-¶5Ç
. . . 60Ç
9.3i˜¶5Ç
. . . .60Ç
9.4hi˜På¶5Ç
. . . 60Ç
10.1ŸÇ
. . . 61Ç
10.2½-¶5Ç
. . . 61Ç
10.3i˜¶5Ç
. . . 61Ç
10.4hi˜På¶5Ç
. . . 61Ç
11.1ŸÇ
. . . 61Ç
11.2½-¶5Ç
. . . 61Ç
11.3i˜¶5Ç
. . . 62Ç
11.4hi˜På¶5Ç
. . . 62Ç
12.1ŸÇ
. . . 62Ç
12.2½-¶5Ç
. . . 62Ç
12.3i˜¶5Ç
. . . 62Ç
12.4hi˜På¶5Ç
. . . 62Ç
13.1ŸÇ
. . . 63Ç
13.2½-¶5Ç
. . . 63Ç
13.3i˜¶5Ç
. . . 63Ç
13.4hi˜På¶5Ç
. . . 63Ç
14.1ŸÇ
. . . 63Ç
14.2½-¶5Ç
. . . 63Ç
14.3i˜¶5Ç
. . . 64Ç
14.4hi˜På¶5Ç
. . . 64Ç
15.1ŸÇ
. . . 64Ç
15.2½-¶5Ç
. . . 64Ç
15.3i˜¶5Ç
. . . 64Ç
15.4hi˜På¶5Ç
. . . 64Ç
16.1ŸÇ
. . . 65Ç
16.2½-¶5Ç
. . . 65Ç
16.3i˜¶5Ç
. . . 65Ç
16.4hi˜På¶5Ç
. . . 65Ç
17.1ŸÇ
. . . 65Ç
17.2½-¶5Ç
. . . 65Ç
17.3i˜¶5Ç
. . . 66Ç
17.4hi˜På¶5Ç
. . . 66Ç
18.1ŸÇ
. . . 66Ç
18.2½-¶5Ç
. . . 66Ç
18.3i˜¶5Ç
. . . 66Ç
18.4hi˜På¶5Ç
. . . 66Ç
19.1ŸÇ
. . . 67Ç
19.2½-¶5Ç
. . . 67Ç
19.3i˜¶5Ç
. . . 67Ç
19.4hi˜På¶5Ç
. . . 67Ç
20.1ŸÇ
. . . 67Ç
20.2½-¶5Ç
. . . 67Ç
20.3i˜¶5Ç
. . . 68Ç
20.4hi˜På¶5Ç
. . . 68Ç
21.1ŸÇ
. . . 68Ç
21.2½-¶5Ç
. . . 68Ç
21.3i˜¶5Ç
. . . 68Ç
21.4hi˜På¶5Ç
. . . 68Ç
22.1ŸÇ
. . . 69Ç
22.2½-¶5Ç
. . . 69Ç
22.3i˜¶5Ç
. . . 69Ç
22.4hi˜På¶5Ç
. . . 69Ç
23.1ŸÇ
. . . 69Ç
23.2½-¶5Ç
. . . 69Ç
23.3i˜¶5Ç
. . . 70Ç
23.4hi˜På¶5Ç
. . . 70Ç
24.1ŸÇ
. . . 70Ç
24.2½-¶5Ç
. . . 70Ç
24.3i˜¶5Ç
. . . 70Ç
24.4hi˜På¶5Ç
. . . 70Ç
25.1ŸÇ
. . . 71Ç
25.2½-¶5Ç
. . . 71Ç
25.3i˜¶5Ç
. . . 71Ç
25.4hi˜På¶5Ç
. . . 71Ç
26.1ŸÇ
. . . 71Ç
26.2½-¶5Ç
. . . 71Ç
26.3i˜¶5Ç
. . . 72Ç
26.4hi˜På¶5Ç
. . . 72Ç
27.1ŸÇ
. . . 72Ç
27.2½-¶5Ç
. . . 72Ç
27.3i˜¶5Ç
. . . 72Ç
27.4hi˜På¶5Ç
. . . 72Ç
28.1ŸÇ
. . . 73Ç
28.2½-¶5Ç
. . . 73Ç
28.3i˜¶5Ç
. . . 73Ç
28.4hi˜På¶5Ç
. . . 73Ç
29.1ŸÇ
. . . 73Ç
29.2½-¶5Ç
. . . 73Ç
29.3i˜¶5Ç
. . . 74Ç
29.4hi˜På¶5Ç
. . . 74Ç
30.1ŸÇ
. . . 74Ç
30.2½-¶5Ç
. . . 74Ç
30.3i˜¶5Ç
. . . 74Ç
30.4hi˜På¶5Ç
. . . 74Ç
31.1ŸÇ
. . . 75Ç
31.2½-¶5Ç
. . . 75Ç
31.3i˜¶5Ç
. . . 75Ç
31.4hi˜På¶5Ç
. . . 75Ç
32.1ŸÇ
. . . 75Ç
32.2½-¶5Ç
. . . 75Ç
32.3i˜¶5Ç
. . . 76Ç
32.4hi˜På¶5Ç
. . . 76Ç
33.1ŸÇ
. . . 76Ç
33.2½-¶5Ç
. . . 76Ç
33.3i˜¶5Ç
. . . 76Ç
33.4hi˜På¶5Ç
. . . 76Ç
34.1ŸÇ
. . . 77Ç
34.2½-¶5Ç
. . . 77Ç
34.3i˜¶5Ç
. . . 77Ç
34.4hi˜På¶5Ç
. . . 77Ç
35.1ŸÇ
. . . 77Ç
35.2½-¶5Ç
. . . 77Ç
35.3i˜¶5Ç
. . . 78Ç
35.4hi˜På¶5Ç
. . . 78Ç
36.1ŸÇ
. . . 78Ç
36.2½-¶5Ç
. . . 78Ç
36.3i˜¶5Ç
. . . 78Ç
36.4hi˜På¶5Ç
. . . 78Ç
37.1ŸÇ
. . . 79Ç
37.2½-¶5Ç
. . . 79Ç
37.3i˜¶5Ç
. . . 79Ç
37.4hi˜På¶5Ç
. . . 79Ç
38.1ŸÇ
. . . 79Ç
38.2½-¶5Ç
. . . 79Ç
38.3i˜¶5Ç
. . . 80Ç
38.4hi˜På¶5Ç
. . . 80Ç
39.1ŸÇ
. . . 80Ç
39.2½-¶5Ç
. . . 80Ç
39.3i˜¶5Ç
. . . 80Ç
39.4hi˜På¶5Ç
. . . 80Ç
40.1ŸÇ
. . . 81Ç
40.2½-¶5Ç
. . . 81Ç
40.3i˜¶5Ç
. . . 81Ç
40.4hi˜På¶5Ç
. . . 81Ç
41.1ŸÇ
. . . 81Ç
41.2½-¶5Ç
. . . 81Ç
41.3i˜¶5Ç
. . . 82Ç
41.4hi˜På¶5Ç
. . . 82Ç
42.1ŸÇ
. . . 82Ç
42.2½-¶5Ç
. . . 82Ç
42.3i˜¶5Ç
. . . 82Ç
42.4hi˜På¶5Ç
. . . 82øı
é
ø
û˝œ
A*
øøí{˙ZÕJV
,úkf$`çV'×í§U
,U)`ÊA)`
‡,
ÿˇ]- ÄÑÅü{˙í`ç·½wø 8< x?úç3
,Ĥ
,6ŒçÞx
£üíç3ø…u`Ê`ç,Ûb#8íç3j
,éçÞúk{˙?D¢}ø¦
/?ÞÍ
,1
?)ƒ|7íç3A^
;WÅqÕç6íû˝
,‚à–1ÇCç3¼µÇV«nç©í–1ç35A^
,˛éOí^ï ÄÑÊ–1ÇDç3¼µÇíÜÊ®ç–1,·æÊO,-P
í©!É[ à
Hawk (1986)Jý£þíçÞdÑû˝úï
,à–1Çíj
`ûçÞ
,û˝!‹êÛ
,õð íçÞÊAô,í[ÛikúÎ –1ÇíÜ
!u
Ausubel (1968)FT
Lí<2ç3
(meaningful learning), AusubelwÑñ
Êl‡ø…í!,
,N¬°“øh
Hø…‹J©!
,à¤j?®A<2íç3
n…ç6˙t¨
(K. Sugiyama)Ak
1981N|
,ø_ñqéA©èÜjí–1
Ç@vxe
: (ø
)–1b¼µ“íTÜ
(ù
)É:í>˜ibbý
(ú
)–1
?}0íÌ
Gú˚
(û
)©Qíi.b¬Å J£
(ü
)É:?Jò(íjú`
,¥üáÔ”
,Ĥ
,,Hü_Ô”øâÇ$ܲAû_xñíj²¥
,é–1Ç?øñ7Í 7Ê
f$–1Çí˙å
,}ø3bí–10k2È
,éwFóÉ–1[Ê})í¶}
,$A
cÕ!ZÇíÇ$
,FJʪW–1ZÇí`T
,%%xÖ_-–1F AícÕ
!Z
(3¬
,1997)Åqç6ÏÁA
(1998){J¯Tç3–1ZÇÑ`ç-Z
,V
ªW`çõð
,!‹éý¯T–1ZÇíç3A^ik_ç3–1ZÇ
,7_
ç3–1ZÇç3^‹¢ªf$`ç^‹Víß
17ÊÅqÉkj²¼µÇ>˜i¬Ö½æ5û˝2
,±<•
(2006)‚àç
6˜F
k
2004ZGA
IM¶5s½b
,T|Wk
IM¶5i˜Di˜Pås
Áý¼µÇ>˜ib5hj¶
,1D
IM¶døA^ªœ ±<•íû˝N|
IM¶
i˜¶Di˜På¶
,Ê
8_Ýõí
20__ÒWä2
,új¶Ìœ
ISM¶F
)|¼µÇ5>˜ibÑý
,7új¶˛¤Ê¼µÇÁý>˜ib5A^,
,éýi
˜På¶Áý>˜ií^‹|7
,wŸÑ
IM¶
,yŸÑi˜¶
,|(u
ISM¶
,Í7
,±<•íû˝!‹1„øO4Ëúj¶
,˛¤Ê¼µÇÁý>˜ib5A
^
>\
(2007)ÊZG˙t¨Æ¶5A^êÛZG(íƶÊ˙«v
È
,ýk˙t¨5ƶ
,wŸ
,ZG(5ƶx–°½-5Š? (V
,5Ù
Á
(2007)!kîh4˪œ}&
IM¶ i˜¶Di˜På¶
,zp7új¶
˛¤Ê¼µÇÁý>˜ib5A^
,êÛ7_bõ
:ø
,úkù¼£dÝ=²
Ç5Áý>˜iTÜ
, IM¶íTÜA^Ì
,J‘²?[0k×2-W|¡íÝõÑ
Ć
,v¥7).ƒ|ý>˜iíÇ ù
, IM¶Ýõ5½bükki˜¶5
½b
,/i˜¶5½bükki˜På¶5½b
,Ê/<‘K-
,új
¶F)5A^ó°
ú
,ÉkÁý>˜i5j¶
,@àÊ0ªè4ò5bDl`
‡ËPǪ)ƒú_–1}ˇí^‹
!k¤
,…û˝Ò¡5>\
(2007)±<•
(2006)J£5ÙÁ
(2007)5ø¶}
,$Ç‚àÝõí½§êÛhj¶D új¶A^}&Êú¼£d¼µÇ,íøO
4!‹
2ù
û˝ñíD&½æ
…û˝ðÊ«n½-¶ i˜¶Dhi˜På¶}Êú¼£d¼µÇ,
,Á
ý>˜b5ª
œ}& ÇÕ
,…û˝;W,H!‹ÔJßõW
,ªWð„
uJ
,…û˝5&½æà-
:ø *Üíhõû|½-¶ i˜¶Dhi˜På¶}Êú¼£d¼µ!Z
Ç,
,Áý>˜b5A^
ù ®ÔøõWð„ÜhõF)5!‹
ú
¯Uì2
…û˝Ò«níúÁý>˜i5j¶2
,u°Uàƒí±ÈD¯Uì2k-
,B
kwFj¶_ì2í¶M
,†\
GÊùı2Ü
: 1.¼µÇ
ø¼µÇ
(hierarchy) G,4â
L1, L2· · · , LnDiíÕ¯
E ⊆ V × VFZA
,p
G = (V, E),w2
V = ∪ni=1Li
/
Li[u
iµFAíÕ¯
2. n
¼¼µÇ
©ø_jÖ
e = (vi, vj) ∈ E,w2
vi ∈ ViÅ—
i < j,/©_iÊÕ¯
E2î
Ñ
ñø Ĥ
,?ø
n¼í¼µÇ[ýÑ
G(V, E, n)3.
£d¼µÇ
n
¼µÇ
G(V, E, n)2
,J²i
(vi, vj) ∈ E/
vi ∈ Vn, vj ∈ Vn+1,¹˚²
i
(vi, vj)Ñsi
,¥5˚ÑÅi J
n¼µÇ
G(V, E, n)2FíiîÑsi
,¹˚Ñ£d¼µÇ
4. 3
¼£d¼µÇ
q
G = (V, E)Ñ
3¼Ý=²Ç
,J
E25²iÌâó
¹sµíÝõFZ
A
,†
G = (V, E)˚Ñ
3¼£dÝ=²Ç
,˚
3¼£d¼µÇ ²k5
,J
E ⊂S3−1 i=1 Li× Li+1,†
G = (V, E)˚Ñ
3¼£
d¼µÇ ;W£d¼µÇ
5ì2
,£d¼µÇ2
,.æÊÅi
(?
¹F¬s¼µJ,í²i
) 5.²Ç
G(V, E)˚ѲÇ
(directed raph),J/ÑJÝõÕ¯
V = {v1, v2· · · , vn}Ñ
øÌÕ¯
,/iÕ¯
E ⊆ V × VÑÝõÕ¯
VíùjåúíäÕ
,˚
E2í
jÖѲi
,¹²i
e = (vi, vj) ∈ E/
{vi, vj} ∈ V ,°v˚
viѲií
–áõ
, vjѲiíõ
6.
Ý=²Ç
²Ç
G(V, E)2
,.æÊáõDõÑ°øÝõ5¥−v
,˚
G(V, E)ÑÝ
=²Ç
(directed acyclic graph)7. n
¼²Ç
Ý=²Ç
G = (V, E)2
,J
V = ∪n i=1Li,w2
Li[ý
iµÝõFAí
Õ¯
,†
G = (V, E)˚Ñ
n¼²Ç
8. n¼Ý=²Ç
Ý=²Ç
G = (V, E)2
,J
V = Sn i=1Li,w2
Li[ýâ|µ–
iµÝõFAíÕ¯
,†
G = (V, E)˚Ñ
n¼Ý=²Ç
9.¹
I
Nu+1 = ui ∈ Li | (ui, ui+1) ∈ E,†˚
Nui+1ÑÝõ
ui+15¹
(neighbor-hood)
10.
¥−
q
k_Ýõ
{v1, v2, · · · , vk} ∈ V ,†²Ç
G = (V, E)2
,*Ýõ
v1|ê
,¤2%¬
k − 1_²i
−−→v2v3, −−→v3v4, · · · , −−−−−→vk−2vk−1,|(ƒ®Ýõ
vk5˜˚
T¥−
(path),pT
W = {v1, v2, v3, v4, · · · , vk−2, vk−1, vk} ,
¤v
, v1˚Ñ
W5áõ
(initial vertex), vk˚Ñ
W5õ
(final vertex),¥−
W
5Åì2Ñ
k,°v
,áõDõó°5¥−íÅì2Ñ
011.
%âi
Ý=²Ç
G = (V, E)2
,cq
−−→vkvl∈ EJæÊ¥−
W = {vi, · · · , vk, · · · , vl, · · · , vj}
v
,˚²i
−−→vkvlÑ¥−
W5%âi
(passed edge),/Ýõ
vk, vl1.øìb
ó¹
12.¹Q
ä³
Ý=²Ç
G = (V, E)2
,q
V = {x1, x2, · · · , xn}/
aij = 1 if −−→xixj ∈ E, 0 if −−→xixj ∈ E./†˚
ä³
A = [aij]n×nÑ
G = (V, E)5¹Q
ä³
(adjacency matrix) 13.ªƒ®
ä³
Ý=²Ç
G = (V, E)2
,q
V = {x1, x2, · · · , xn}/
rij = 1JæÊ¥−
WU)
xiD
xj}Ñ
W5áõDõ
, 0wF
.†˚
ä³
R = [rij]n×nÑ
G = (V, E)5ªƒ®
ä³
(reachability matrix) 514.
qŸb
q
G = (V, E)Ñ
n¼£dÝ=²Ç
, G2FJ
vÑõ/¥−ÅÑ
15¥−,b˚ÑqŸb
(in-degree) 15.ÕŸb
q
G = (V, E)Ñ
n¼£dÝ=²Ç
, G2FJ
vÑáõ/¥−ÅÑ
15¥−,b˚ÑÕŸb
(out-degree) 16.>˜i
q
G = (V, E)Ñ
n¼£dÝ=²Ç
,†L<s_²ió>v
,˚Ñ>˜
…û˝Êl>˜íb¾v
,úú¼²i˛¤ó>/uõí8$
,EJ
3_>
˜lb
,Ĥ
, k_²i˛¤ó>/¶MÝõuõí8$
,J
k(k−1) 2_>˜l
b
ÇÕ
,Áý>˜i
(crossing edge)4N_ç˽§
n¼£dÝ=²Ç®
µíÝõßå
,7.Z‰ÝõDÝõÈ,-P5¼µÉ[
,U)F)5Çí>˜
,b‰ýíÝõ½§T“
,Áý>˜iTÜ(5Ç˚Ѫè4ò5Ç
17.
ÏÕDò
q
CD
DÑsÕ¯
,†ì2ÏÕ
(difference) C \ DDò
(direct product)C × D
à-
: C \ D = {c : c ∈ C/
c /∈ D}, C × D = {(c, d) : c ∈ C/
d ∈ D}. 18. #V¯U
#V[ýÕ¯
V2FjÖ5_b
19.Ó«‹¶
DÓ« ¶
I
A = [aij]1≤i,j≤n, B = [bij]1≤i,j≤nÑsj³/úL<
i, j,cq
aij, bij ∈ {0, 1}Ûì2sj³5Ó«‹¶
(Boolean addition)Ñ
: AL B = [aij ⊕ bij]1≤i,j≤n,s
j
³5Ó« ¶
(Boolean multiplication)Ñ
: AN B = [aij ⊗ bij]1≤i,j≤n,w2
x ⊕ y = 0 x = 0, y = 0, 1wF
. , x ⊗ y = 1 x = 1, y = 1, 0wF
.û
û˝Ì„
ø …û˝F5?íú¼£d¼µÇ
,.
ÖÅi
,6ÿuF¬sµ
(Ö
)J,5²
i
,úkÅiíTÜ
,ªN¬‹p™ÒõD™ÒixX
,ª
²Ñ.ÖÅiíÕ”
,Ĥ
,…û˝úÅií¼µÇ.‹JqÌ
ù ‡ú…û˝ñí
,ø
Ì„ÊÝ=²Ç5_Ò’eíßÞ
,J£_Ò’eíª
ú
ùı
d.«n
Ñ7ûnÁý>˜iíúj¶íªœ
:½-¶ i˜¶Dhi˜På¶
,…
ı}AûVªWóÉd.«n
,F
×ÛíqñÌùàŸOd
,ø«n½-¶Ê
Áý>˜i5}&
,ù«n˜F5i˜¶
,ú«nhi˜På¶
,û
Ñõ„4û˝
ø
½-¶ÊÁý>˜i5}&
½-¶uâ˙t¨
(K. Sugiyama)k
1981T|
,‡ús¼µí¼µÇ
,‚àÓ
ÜÓG©íòhj
,øw2ø¼µeÑ ìõ
,Çø¼µeѪí”õ
,1/
l©_”õí½-M×ü
,l½-M(YWw”õ½-M×üdâüƒ×í§å
,çs_
”õxó°í½-M
,†
þt>²s”õíFÊP0
,ðu´®ƒÁý
>˜i5ñí
,JÁý>˜ib†>²¥s_”õíP0
,J>˜ib³Áý
,†
\GŸVíóúP0
‚ग़s¼µí½-l£§å
,J£¥ºÏW½-í§åLH
,F‚½-í§
åLHuâ ìø¼µíÝõ
,l£§åùµíÝõ
,Ç᥺ÏWòƒ
i − 1¼µ2íÝõ
,l¸§åê
iµíÝõP0
,òƒ
n¼µ2íÝõ§åêÑ¢
,Ê¥¬VÏW ì
n¼µíÝõ
,l¸§å
n − 1¼µíÝõ
,°š¥ºÏWò
ƒ ìù¼µÝõ
,l¸§åêø¼µíÝõÑ¢
,¥ší˙åÊ˙t¨2}
˚Ñ,½-¶£-½-¶
,C˚ÑW½-¶£½-¶
ì2 2.1.1.ÊÝ=²Ç
G(V, E)2
,ì2©!
ä³à-
: (1) M(i) = M (σ i, σi+1)Ñø_
| Vi | × | Vi+1|í
ä³
,w2
,ä³íWD5jÖ}
Ñ
σiD
σi+1 (2)I
σi = v1· · · vk· · · v|v i|£
σi+1 = w1· · · wk· · · w|vi+1|†
(vk, wl)Ñ
ä³
M i2
íø_jÖ
,pÑ
m(i)klw2
m(i)kl = 1 (vk, wl) ∈ Ei 0 (vk, wl) /∈ Ei ,˚
Miѩ!
ä³
. ìÜ 2.1.2.cq
i¼µíjÖÕ¯Ñ
v = {a1, a2, a3, . . . , an}, i + 1¼µíjÖ
Õ¯Ñ
u = {b1, b2, b3, . . . , bm},†
iµD
i + 1µÈí>˜ibÑ
K(v, u) = m−1 X k=1 m X j=k+1 n−1 X α=1 n X i=α+1 m(i)αjm(i)ik ! . „p:5?
M(i),¹5?
iµD
i + 1µí>˜ib
íl
,w©!
ä³Ñ
b1 b2 · · · bm a1 m (i) 11 m (i) 12 · · · m (i) 1m a2 m(i)21 m (i) 22 · · · m (i) 2m .. . ... . .. ... an m (i) n1 m (i) n2 · · · m (i) nmw2
, m(i)ij = 1 if aibj ∈ E, 0 if aibj ∈ E,/ (1)J
a1D
b1©!
,†.wFÝõu´©i
,î.} à>˜ib
(2)J
a1D
b2©!
,†
(m (i) 12 = 1)J
b1D
{a2, a3, . . . , an}©!
,†}ßÞ>
˜i
,]ªl|Di
(a1, b2)>˜í>˜ibÑ
Pn i=2m (i) 12m (i) i1
(3)
J
a1D
b3©!
,†
(m (i) 13 = 1) (4)J
b1D
{a2, a3, . . . , an}©!
,†}ßÞ>˜i
,]ªl|Di
(a1, b3)>
˜í>˜ibÑ
Pn i=2m (i) 13m (i) i1 (5)J
b2D
{a2, a3, . . . , an}©!
,†}ßÞ>˜i
,]ªl|Di
(a1, b3)>
˜í>˜ibÑ
Pn i=2m (i) 13m (i) i2u]
,J
a1D
b3©!
,†øßÞ>˜ibÑ
Pn i=2m (i) 13m (i) i1 + Pn i=2m (i) 13m (i) i2 (6)J
b1D
{a2, a3, . . . , an}©!
,†}ßÞ>˜i
,]ªl|Di
(a1, b4)>
˜í>˜ibÑ
Pn i=2m (i) 14m (i) i1 (7)J
b2D
{a2, a3, . . . , an}©!
,†}ßÞ>˜i
,]ªl|Di
(a1, b4)>
˜í>˜ibÑ
Pn i=2m (i) 14m (i) i2 (8)J
b3D
{a2, a3, . . . , an}©!
,†}ßÞ>˜i
,]ªl|Di
(a1, b4)>
˜í>˜ibÑ
Pn i=2m (i) 14m (i) i3u]
,J
a1D
b4©!
,†øßÞ>˜ibÑ
n X i=2 m(i)14m(i)i1 + n X i=2 m(i)14m(i)i2 + n X i=2 m(i)14m(i)i3.°ÜªR)
,5?J
a1D
bm©!
,†
(m (i) 1m = 1),†>˜ibÑ
n X i=2 m(i)1mm(i)i1 + n X i=2 m(i)1mm(i)i2 + n X i=2 m(i)1mm(i)i3 + · · · + n X i=2m(i)1mm(i)i(m−1).
â
(1) ∼ (5)ªJl|
,J
a1D
bk©!
,†ßÞí>˜ibÑ
n X i=2 m(i)12m(i)i1 + n X i=2 m(i)13m(i)i1 + n X i=2 m(i)13m(i)i2 + n X i=2 m(i)14m(i)i1 + n X i=2 m(i)14m(i)i2 + n X i=2 m(i)14m(i)i3 + · · · + n X i=2 m(i)1mm(i)i1 + n X i=2 m(i)1mm(i)i2 + n X i=2 m(i)1mm(i)i3 + · · · + n X i=2m(i)1mm(i)i(m−1) =
m−1 X k=1 m X j=k+1 n X i=2 m(i)1jm(i)ik ! , k = 1, 2, · · · , m.
y5?
a2D
bk©!
,ª)>˜ibÑ
Pm−1k=1 Pmj=k+1 Pn i=2m (i) 2jm (i) ikYó
°íj
,5?
aαD
bk©!ví>˜ib}Ñ
m−1 X k=1 m X j=k+1 n X i=2 m(i)3jm(i)jk ! , m−1 X k=1 m X j=k+1 n X i=2 m(i)4jm(i)ik ! , · · · , m−1 X k=1 m X j=k+1 n X i=2 m(i)(m−1)jm(i)ik ! ,w2
α = 1, 2, · · · , n.â
(6) ∼ (8),øF>˜ib‹,
,ª),>˜ibÑ
m−1 X k=1 m X j=k+1 n X i=2 m(i)1jm(i)ik ! + m−1 X k=1 m X j=k+1 n X i=2 m(i)2jm(i)jk ! + · · · + m−1 X k=1 m X j=k+1 n X i=2 m(i)(n−1)jm(i)jk ! = m−1 X k=1 m X j=k+1 n−1 X α=1 n X i=α+1 m(i)αjm(i)ik ! .âìÜ
2.1.2ªl)¼µÇ
G(V, E)í,>˜ibÑ
K(g) = K(M(1)) + K(M(2)) + · · · + K(M(n−1)). ì2 2.1.3.Jø_²¾
y = (y1, y2· · · ym)7k
,½-P0ílì2Ñ
Dy = Pm j=1j · yj Pm j=1yj . ì2 2.1.4.ì2©Q
ä³íW½-
,½-Ñ
:½-Ñ
: BRik = P|Vi+1| l=1 l · m (i) kl P|Vi+1| l=1 m (i) kl , k = 1, 2, · · · , | Vi |,W½-Ñ
: BCil = P|Vi| l=1k · m (i) kl P|Vi| l=1m (i) kl , k = 1, 2, · · · , | Vi+1| . ì2 2.1.5.ì2ø_ù¼µÇí,½-D-½-Ñ
:,½-Ñ
: BikU = P|Vi−1| j=1 x(v i−1 j ) · m (i−1) jk CU ik , k = 1, 2, · · · , | Vi |,-½-Ñ
: BilL= P|Vi+1| l=1 x(v i+1 l ) · m (i) kl CL ik , k = 1, 2, · · · , | Vi |,w2
,CU ikÑ,©!b
,C L ikÑ-©!b
ì2 2.1.6.J#ì
iµD
i + 1µ5¹Q
ä³
Mi = [mij]p×q, p =| Li |/
q =| Li+1|,†ì2
iµD
i + 1µ5>˜ibÑ
K(Mi) = p−1 X j=1 p X k=j+1 q−1 X α=1 q X β=α+1 m(i)jβm(i)kα ! ,†
n¼µí,>˜ibÑ
K(M ) = K(M1) + K(M2) + K(M3) + · · · + K(Mn+1),w2
MѹQ
ä³ Wà
: a b c d e f g h i j k l m 第一層 第二層 第三層 第四層e
f
g
h
b
c
d
a
f
e
g
h
a
d
b
c
Ç
1.R¦A
K. Sugiyama (1981)5dıí¼µ!ZÇ
wij5Ô„Ç
w2
M1 = d e f g a 1 0 1 1 b 0 0 0 1 c 0 0 1 0 , K(M1) = 2,M2 = h i j k d 1 0 1 0 e 0 1 0 0 f 0 1 0 0 g 0 1 1 0 , K(M2) = 3, M3 = l m h 1 1 j 1 0 j 1 0 k 1 1 , K(M3) = 3,
7
M = 0 M1 0 0 0 0 M2 0 0 0 0 M3 0 0 0 0 ,†
K(M ) = K(M1) + K(M2) + K(M3) = 2 + 3 + 3 = 8.ø ½-¶5Æ¥
: (ø
)Ésµ5ç3¼µíƶ
1.ƒbì2
: (1) K(·) :[ýø¹Q
ä³øƒÝŠcb5ƒb
I
M (mij)1≤i≤|L 1|,1≤j≤|L2|Ñø¹Q
ä³
,†
K(M ) = |L1|−1 X j=1 |L1| X k=j+1 |L2|−1 X α=1 |L2| X β=α+1 mjβmkα. (2) βC(·) :[ýø¹Q
ä³øƒ;WW½-M½h§vä³íW(
,F
)
ä³5ƒb I
M (mij)1≤i≤|L 1|,1≤j≤|L2|,/
B C j1 < B C j2 < B C j|L2|,†
βc(M ) = N = (mijk)1≤i≤|L1|,1≤k≤|L2|. (3) βR(·) :[ýø¹Q
ä³øƒ;W½-M½h§vä³í(
,F
)
ä³5ƒb I
M (mij)1≤i≤|L 1|,1≤j≤|L2|,/
B R i1 < B R i2 < B R i|L1|,†
βR(M ) = L = (mikj)1≤k≤|L1|,1≤j≤|L2|. (4) RC(·) :I¹Q
ä³
M = (mij)1≤i≤|L1|,1≤j≤|L2|Å—
B C j1 = B C j2,†
RC(M ) = (nij)1≤i≤|L1|,1≤j≤|L2| ,¥³
nij = mijJ
j /∈ j1, j2, mij2J
j = j1, mij1J
j = j2. (5) RR(·) :I¹Q
ä³
M = (mij)1≤i≤|L1|,1≤j≤|L2|Å—
B R j1 = B R j2,†
RR(M ) = (nij)1≤i≤|L1|,1≤j≤|L2| ,¥³
nij = mijJ
j /∈ j1, j2, mij2J
j = j1, mij1J
j = j2. 2.Æ¥
:˙t¨5ƶ
,}Ñs¼¨M¥ªW
(1)ø¼¨
(½-Mî.°v
)¥
1:qìá½µ=ø¼¨Æ5Ÿb
(£LHŸb
) r,Í(
l
K(M1),¥³
M1[ýÑ
1µD
2µ5¹Q
ä³
¥
2:I
M2 = βR(M1)¥
3:J
K(M2) < K(M1) ,†I
M∗ = M2 , K∗ = K(M2)¥
4:I
M3 = βC(M2)¥
5:J
K(M3) < K∗ ,†
M∗ = M3 ,K∗ = K(M3)¥
6:J
M3 = M1C
LHŸbß×k
r ,†!!ø¼¨Æ
,ªpù¼¨Æ ´†
,ƒø¼¨í¥
2 (2)ù¼¨
(|Ûó°
½-Mv
)¥
1:I
M4 = RC(M3)¥
2: M45
½-MJ.uâüƒ×§v
,†I
M1 = M4,/ƒ
ù¼¨¥
5,´†ªW¥
3¥
3: M5 = RR(M4)¥
4: M55
½-MJ.uâüƒ×§
,†I
M1 = M5,/ƒ
ù¼¨¥
5,´†
!!ÏW
¥
5:Jù¼¨5LHŸb×káMv
,†!!ÏW
,´†ƒ
ø¼¨
2¥
¸Wzp
:e
f
g
h
b
c
d
a
g
e
f
h
d
c
a
b
Ç
2.¼µÇ
16¥
1:Ÿ|¹Q
ä³
M1 = e f g h BkR a 0 1 0 1 3 b 1 0 1 0 2 c 1 0 0 1 2.5 d 0 1 1 0 2.5 BlC 2.5 2.5 3 2 , K(M1) = 11,¤¹Q
ä³l|í½-M
,YÎ
½-Mí×ü
,â,B-
,âü
B×Yå§ OÄÑ|Ûó°½-M
,Ĥ
,ʧåvó°í½
-
M.âss²
,v||üí>˜ib
¥
2:ø
½-MO×üŸå§
,)ƒ
M2 = e f g h BR k b 1 0 1 0 2 c 1 0 0 1 2.5 d 0 1 1 0 2.5 a 0 1 0 1 3 BlC 1.5 3.5 2 3 , K(M2) = 7,J£ó°
½-M>²§å)ƒ
M3 = e f g h BR k b 1 0 1 0 2 d 0 1 1 0 2.5 c 1 0 0 1 2.5 a 0 1 0 1 3 BC l 2 3 1.5 3.5 , K(M3) = 7,¥
3:ø
W½-MO×üŸå§
,/ó°
W½-M6Û>²§åJ)ƒ
|ü>˜ib
,Ĥ
, i.â¹Q
ä³
M2)ƒ
M4 = e f g h BkR b 1 1 0 0 1.5 c 1 0 1 0 2 d 0 1 0 1 3 a 0 0 1 1 3.5 BCl 1.5 2 3 3.5 , K(M4) = 3,¤¹Q
ä³%âW½-M§åîYÎ×üßå§
,Ĥ
,|ü
>˜ibÑ
3FJÆ
¥ !!
ii.â¹Q
ä³
M3)ƒ
M5 = g e f h BR k b 1 1 0 0 1.5 d 1 0 1 0 2 c 0 1 0 1 3 a 0 0 1 1 3.5 BlC 1.5 2 3 3.5 , K(M5) = 3,¤¹Q
ä³íW½-MîYÎ×üßå§
,Ĥ
,|ü>˜i
D
K(M4)°Ñ
3/ªœ®
K(Mi),i = 1, 2, · · · , 9 ,)ƒ|ý>
˜ibÑ
3í|
7¼µÇà-
:
e
f
g
h
b
c
d
a
g
e
f
h
d
c
a
b
Ç
3.¼µÇ
(ù
)sµJ,5ç3¼µÇíƶ
cqvç3¼µÇ
nµ
,n > 2 ,-ÑÆ¥
: 1.ì
1µ
,;W
(ø
)2.5ƶ§
2µ2áõ5ßå
2.ì§åê(5
2µ
,y;W
(ø
)2.5ƶ§
3µ2áõ5ß
å
3.Y¤éR
,òƒ§ê
n楛
4.ì
nµ
,y;W
(ø
)2.5ƶ§
n − 1µ2Ýõ5ßå
5.ì§åê(5
n − 1µ
,y;W
(ø
)2.5ƶ§
n − 2µ2Ý
õ5ßå
6.Y¤éR
,òƒ§ê
1楛
ù ½-¶Æ¥ ½æõDõWzp
¹Q
ä³
M2
,|Û
¬Öó°½-Mv
,Æ¥ ù¼¨25
RC(M )C
RR(M ),øÞ@̶ì2í½æ
õWzp
: a b c d e f g h i j k l m 第一層 第二層 第三層 第四層e
f
g
h
b
c
d
a
f
e
g
h
a
d
b
c
Ç
4.¼µÇ
19¥
1:Ÿ|¹Q
ä³
M1 = e f g h BR k a 1 1 1 0 2 b 0 0 1 1 3.5 c 0 1 0 0 2 d 1 0 1 0 2 BC l 2.5 2 2.3 2 , K(M1) = 9,¤¹Q
ä³ßÞú_ó°½-íM
,]̶^
‡iwl(Ÿå
,Ĥ
,.
âø¤ú_jÖss>²
,1°v«n>²(FßÞí>˜ib -ø>
²(ßÞ5>˜ibœý6
,T|n
¥
2:ø
½-MO×üßå§
,)ƒ
M2 = e f g h BR k c 0 1 0 0 2 d 1 0 1 0 2 a 1 1 1 0 2 b 0 0 1 1 3.5 BC l 2.5 2 3 4 , K(M2) = 4,¥
3:ø
W½-MO×üßå§
,)ƒ
M3 = f e g h BR k c 1 0 0 0 1 d 0 1 1 0 2.5 a 1 1 1 0 2 b 0 0 1 1 3.5 BC l 2 2.5 3 4 , K(M3) = 3,¥
4:ø
½-M%×üŸå§(
,)ƒ
M4 = f e g h BR k c 1 0 0 0 1 a 1 1 1 0 2 d 0 1 1 0 2.5 b 0 0 1 1 3.5 BC l 1.5 2.5 3 4 , K(M4) = 1,ÄÑ
W½-MD½-M·˛%O×üŸå§
,]ªJ)ƒ|ý>˜ib
Ñ
1,w|(§íÇ$à-
: a b c d e f g h i j k l m 第一層 第二層 第三層 第四層e
f
g
h
b
c
d
a
f
e
g
h
a
d
b
c
Ç
5.YÎ
½-¶§å(FßÞí¼µ!ZÇ
ù
˜F5i˜¶
Ô i˜–1¶
ì2 2.2.1.ÊÝ=²Ç
G = (V, E)2
,J
−−→vkvl ∈ E,†˚
E(vk, vl; G) =W : −−→vkvlÑ¥−
W5%âi
ÑÝõ
vk, vl5%â˜Õ
ì2 2.2.2.ÊÝ=²Ç
G = (V, E)2
,J
−−→vkvl ∈ E,†˚
Av(vi) = {v :æʘ
WU)
v, vi}Ñ
W5áõ
,õ
}ÑÝõ
vi5lW˜Õ
Aw(vi) = {W :æʘ
WU)
v, vi}Ñ
W5áõ
,õ
} ì2 2.2.3.ÊÝ=²Ç
G = (V, E)2
,J
−−→vkvl ∈ E,†˚
Av(vi) = {v :æʘ
WU)
vi, v}Ñ
W5áõ
,õ
}ÑÝõ
vi5lW˜Õ
Aw(vi) == {W :æʘ
WU)
vi, v}Ñ
W5áõ
,õ
} ìÜ 2.2.4.J
G(V, E)ÑÝ=²Ç
,†
#E(vk, vl; G) = #A2(vk) #R2(vl). „p:;W
E(vk, vl; G)DÕ¯5ò íì2ª)„…ìÜ
ì2 2.2.5.Ý=²Ç
G(V, E)2
,ì2²i
−−→vkvl ∈ E5i˜½b
J (vk, vl; G)à-
: J (vk, vl; G) = #E(vk, vl; G). ì2 2.2.6. (i) G5¹Q
ä³
AGì2à-
: AG = [aij]n×n,w2
aij = 1 −v−→kvl ∈ E, 0wF
. (ii) G5ª®
ä³
RGì2à-
: RG = [rij]n×n,w2
rij = 1 viB
vj˜5ª®
, 0 viB
vj̘5ª®
.(iii) G
5i˜
ä³
(eage-path matrix) EG ,ì2à-
: EG = [ekl]n×n ,w2
ekl = #[E(vk, vl)|G]. ìÜ 2.2.7.Ý=²Ç
G(V, E)2
,cq
#V = n/
AÑ
G = [aij]1≤i,j≤n5¹Q
ä³
,Ij³
P = [pkl]1≤k,l≤n =Pn−1 i=1 A i,†
J (vk, vl; G) = n X i=1 pik ! akl n X j=1 plj ! . „p:ÄÑ
E(vk, vl; G) = #A2(vk) #R2(vl), #A2(vk) = n X i=1 pik, #R2(vl) = n X j=1 plj,FJ)„…ìÜ
ì2 2.2.8.q
G(V, E)ÑÝ=²Ç
,/
Jv(vi; G) = n X j=1,j6=i {J(vi, vj; G) + J (vj, vi; G)} ,†˚
Jv(vi; G)Ñi˜¶2Ýõ
vi5½b
i˜¶5ƶ
i
˜¶5ƶâû_!…¥ ²Ï¶†D[0¶†újÞFZA D
IM¶íÏ
ÉʽbíËj
,¹}J
J (vk, vl; G), Jvw(vk, vl; G)D
Jv∗(vk, vl; G)V¦H
I(vk, vl; G), Ivw(vk, vl; G)D
Iv∗(vk, vl; G)ú
hi˜På¶
Ô hi˜På¶5óÉÜ
ì2 2.3.1. (˜F5På)
Ý=²Ç
G = (V, E)2
,J
−−→vkvl ∈ E,†˚
o(vk, vl; G) = maxkW k : vlÑ¥−
W5áõ
Ѳi
−−→vkvl5På
,w2
kW k[ý¥−
W5Å
ì2 2.3.2. (…û˝5hPå)Ý=²Ç
G = (V, E)2
,J
−−→vkvl ∈ E,†˚
o(vk, vl; G) = maxkW k : vkÑ¥−
W5õ
Ѳi
−−→vkvl5hPå
,w2
kW k[ý¥−
W5Å
ìÜ 2.3.3.Ý=²Ç
G(V, E)2
,cq
#V = n/
A = [aij]1≤i,j≤nÑ
G(V, E)5¹Q
ä³
,Ij³
p z }| { AO· · ·OA = p O i=1 A = [a(p)ij ]1≤k,l≤n,†
o(vk, vl; G) = aklmax{dik : i = 1, 2, · · · , n},¥³
dij = max n p ∈ {1, 2, · · · , n − 1} : a(p)ij = 1o. „p:ÄÑ
a(p)ij = 1[ýæÊJÝõ
iÑáõ
,Ýõ
jÑ
õ/˜Åß
u
pí˜
,FJ
dij[ýJÝõ
iÑUáõ
,Ýõ
jÑõí˜2
,˜Å
5|×
M ¢ÄÑ
o(vk, vl; G) = maxkW k : vkÑ¥−
W5õ
FJ)„
o(vk, vl; G) = aklmax{dik : i = 1, 2, · · · , n}.ì2 2.3.4.
Ý=²Ç
G(V, E)2
,²i
−−→vkvl ∈ E5hi˜På½b
K(vk, vl; G)ì2Ñ
K(vk, vl; G) = #E(vk, vl; G) + o(vk, vl; G). ì2 2.3.5.q
G(V, E)ÑÝ=²Ç
,/
Kv(vi; G) = n X j=1,j6=i {K(vi, vj; G) + K(vj, vi; G)} ,†˚
Kv(vi, ; G)Ñhi˜På¶2Ýõ
vi5½b
ì2 2.3.6.ÊÝ=²Ç
G2
,G5hi˜På
ä³
; OGì2Ñ
: OG = [okl]n×n,w2
okl= akl max 1≤j≤ndjk = order(vk, vl | G). ì2 2.3.7.ʲÇ
G = (V, E), G0 = (V, E0), G ∩ G0 = (V, E ∩ E0), G ∪ G0 = (V, E ∪ E0)2
,V = {v1, v2, · · · , vn},I
G, G0, G ∩ G0, G ∪ G05hi˜På
ä³}Ñ
EOG = [xkl]n×n,w2
xkl = ]E(vk, vl| G) + order(vk, vl | G), EOG0 = [x 0 kl]n×n,w2
xkl = ]E(vk, vl| G 0 ) + order(vk, vl | G 0 ), EOG∩G0 = [x 00 kl]n×n,w2
x”kl = ]E(vk, vl| G ∩ G 0 ) + order(vk, vl | G ∩ G 0 ), EOG∪G0 = [x 0” kl]n×n,w2
xkl = ]E(vk, vl| G ∪ G 0 ) + order(vk, vl | G ∪ G 0 ). hi˜På¶5ƶ
hi˜På¶5ƶ?âû_!…¥ ²Ï¶†D[0¶†újÞF
ZA D
IM¶íÏ
ÉʽbíËj
,¹}J
K(vk, vl; G), Kvw(vk, vl; G)D
K∗ v(vk, vl; G)V¦H
I(vk, vl; G), Ivw(vk, vl; G)D
Iv∗(vk, vl; G)û
óÉõ„4û˝
âk…û˝¡5>\
(2007)d-Z5ø¶}
,/ªW½-¶ i˜¶D h
i
˜På¶5ªœ}& Ĥ
,…Ò«n>\ ±<•D5ÙÁúA5d
,D
…û˝Éí¶}
,1T|ú
vd5u‡
Ô
>\d
ø û˝ñí
(ø
)ú½-¶5Æj¶‹ph¥
,J®ƒ^Áý>˜i5^‹
(ù
)‚àZG(5½-¶
,@àk
øø{˙2íbçä5S–1
ù û˝j¶
‚à¹Q
ä³FßÞíjÖ
,Js_J,ó°Mv
,w
‡¶†Ñø
xó°
½-Míõ
,YΩibí×ü§å
,âüB×
,J©ibøš
v†øj
Öó>²
,1°v«nw>˜ib
ú û˝¼˙
(
ø
)¹Q
ä³’e
,1‚à
Matlab_Òø_Óœ¹Q
ä³5’e
, (ù
)ø¹Q
ä³5’eæA
M-filef
, (ú
)‚à
Matlabl½h§(5,>˜ib
, (û
)‚à
Matlab}&Ÿ>˜ibDh>˜ib
, (ü
)‚à
Matlabú`Áý>˜i(íÇ
û û˝!‹
(ø
)Z
G(í½-¶Æ¶†Ê½-Mó°v
,YÎw¶†
,ªJòQ²
|
œ7í§å
,JÁýÆvÈ
,ª7)ƒ>˜b|ýí¼µÇ
(
ù
)øZG(í½-¶^Ë‚àÊ
øø®ä`ç,
,ªéç36
úÀjDÀj5ÈíÉ:4ypn
,JZ©
è1J"óÉø…
,1ªÊ
`ç,TX`ªè4ò5`‡ËPÇ
,JZÓªç3^‹
±<•d
ø û˝ñí
ªœ
ISM¶
IM¶ i˜¶Di˜På¶ÊÁý>˜i5A^
ù û˝j¶
‚à
MatlabbjVßÞ¹Qä³
,1J
0.75Ñ
§M çbM×
kCk
0.75v
,e[ýÝõ
iƒÝõ
j5È©Qi
,†
aij = 1¥5
,†[ýÝõ
iƒÝõ
j5ȳ©Qi
,¹
aij = 0vû˝c‡ú
8_Ý
õ
(¹
n = 8)d’e_Ò
ú û˝¼˙
(ø
);W
b’ef1“ѹQä³
, (ù
)‚à
Matlabl|ªƒ®
ä³
, (ú
)vƒlWÕ¯ ªƒ®Õ¯DA}Õ¯
,1‚à
MatlablÇ$¼
µb(
,ú`
ISMÇ
,(
û
)‚à
Matlab}
li©! i˜Di˜På½bM
,(
ü
)‚à
Matlab˙ÏWi©! i˜Di˜På5Áý>˜iÆ
,(
ý
)Uà
Matlab}ú`i©!½b i˜½bDi˜På½
b5
IMÇ
[ 2.4.1 Áý>˜i(Ç$í>˜b š…
j¶
ISM Ç IM Ç i˜Ç i˜PåÇ 1 3 0 1 0 2 1 1 1 1 3 1 0 0 0 4 3 0 0 0 5 4 0 0 0 6 3 0 0 0 7 1 1 1 1 8 2 1 1 1 9 2 1 1 1 10 5 0 0 0 11 3 0 0 0 12 4 4 4 4 13 4 1 1 1 14 10 5 5 5 15 0 1 0 0 16 2 0 0 0 17 1 0 0 0 18 1 0 0 0 19 3 0 0 0 20 2 0 0 0
*[
2.4.1ªJõ|
,±<•
(2006)F_Òí
20°¹Q
ä³’e2
,c
ñõ–V
,i
˜På¶Áý>˜ií^‹|7
,wŸÑ
IM¶
,yŸÑi
˜¶
,|(u
ISM¶
¡
5ÙÁd
ø û˝ñí
(ø
)‚à
Matlab˙
,JõW}&
IM¶Æ¶í½æõ
(ù
);W
˜Fú
IM¶2½bZGísj¶
,ªœ¤sj¶D
IM5A^
(ú
)@àÁý>˜i5j¶
,ªè4ò5bDl3æ`‡ËPÇ
ù û˝j¶
uJ-Ü1V)Ÿ
IM¶ i˜¶Di˜På¶úÁý>˜i
5
Matlab˙xk
: (ø
).Z‰Ÿ£dÝ=²Ç5,-PÉ:
,鮼µÝõbøš
,J
Ýõb|ÖµµÑ!Ä
,ýkvµ5ÝõbÌ^,™ÒÝõ
(ù
)§pí3WíÝõJ
h × 15W²¾V_/
,§p3W˝¬iíÝõ
J
h × (w − 1)5
ä³V_/
(ú
)ªŸ²¦ø_Ýõ5²Ï¶†í˙
,1ø²|íÝõBk
main temp (û
)ªŸ²¦ù_Ýõ5²Ï¶†í˙
,1ø²|íÝõBk
main temp (ü
)ªŸ²¦ú_Ýõ5²Ï¶†í˙
,ø²|5Ýõ¦±
in-3,Ó
(ªŸ
in-3[0¶†í˙
(ý
)û_J(5Ýõ
,J
for-endc˛ÏW
,ÏWŸbqlD,Ýõbó
°
ú û˝¼˙
(
ø
)²ì£dÝ=²Ç5µbD®µ5Ýõb
(
ù
)ßÞ¹Q
ä³’ef
:‚à
MATLAB5
randƒbNI
,ÓœßÞ
0D
15¹Q
ä³’e
,Ó(ÏWŒu´Ñ£dÝ=²Ç5¹Q
ä
³’e
,J
MATLAB˙|£dÝ=²Ç5¹Q
ä³’e(
,ú|v£dÝ=²Ç
(ú
)ßÞ¼µ’e²¾
L: LÑ
(w ∗ h) × 15W²¾
,˙ÏW2
,x
[ýÝõFÊP0íŠ?
,w’eà-
: L = ( w z }| { 11 · · · 1 w z }| { 22 · · · 2 · · · w z }| { hh · · · h)t,¥³
t[ý²¾0
(transpose)(
û
)l|ªƒ®
ä³ ‚à
for-endc˛
, if-endj4‡i−„D
booleanƒbNI
,l|ªƒ®
ä³
(
ü
)‚à
for-if-endj4‡i−„
,l£dÝ=²Ç5>˜b
(
ý
)‚à
for-endc˛
,l
IM¶5½b
(
þ
)‚à
for-endc˛
,l˜F5i˜¶5½b
(ÿ
)‚à
for-endc˛
,l˜F5i˜På¶5½b
( )
‚à
if-elseif-else-endj4‡iD
switch-case-otherwise-endj4‡
i−„
,ªW
IM¶Áý>˜i5Ýõ½§
(
)‚à
if-elseif-else-endj4‡iD
switch-case-otherwise-endj4‡
i−„
,ªWi˜¶Áý>˜i5Ýõ½§
(
ø
)‚à
if-elseif-else-endj4‡iD
switch-case-otherwise-endj4
‡i−„
,ªWi˜På¶Áý>˜i5Ýõ½§
ý>˜i(5¼µÇ
û û˝!‹
(ø
)J
G = (V, E)ÑL<5
n¼£dÝ=²Ç
,†
Iv(vi; G) ≤ Jv(vi; G) ≤ Kv(vi; G), ∀vi ∈ V. (ù
)J
G = (V, E)ÑL<5
3¼£dÝ=²Ç
,†;W
IM¶Di
˜¶
,ªWÁý>˜iTÜ(
,F)5Çí>˜,bó°
(ú
)q
G = (V, E)ÑL<5
n¼£dÝ=²Ç
,J
J (vk, vl; G) ≤ 1, ∀vk, ∀vl ∈ V, (2.1)†;W
IM¶Di˜¶
,ªWÁý>˜iTÜ(
,F)5Çí>˜,
bó°
(û
)J
G = (V, E)ÑL<5
2¼£dÝ=²Ç
,/|µL<5Ý
õíÕŸbükk
2v
,†;W
IM¶ i˜¶Di˜På¶
,ªWÁý>˜iTÜ(
,F)5Çí>˜,bÌó°
úı j¶D¥
ø
½-¶5
Matlab
˙qlÜ1
YW½-¶5Ü
,…û˝Êql
Matlab˙v
,c-Ü1VªW
:ø l ìú¼£d¼µÇ|,µíÝõ
,Í(â,7-Møl½b
ù 5?ù úµ5²i>˜b}Ñ
0, 1, 2, 3, 4, 5, 6, 7, 8, 958$íù
úµF$A5¹Q
ä³
,Vl½b
,?
¹
,qlÉlùµÝõ½b5˙
ú Êù í‡T-
,ª75?øµíqŸb}Ñ
1, 2, 358$íø ùµF
$A5¹Q
ä³
,Vl½b
,?
¹
,qlÉløµÝõ½b5˙
û ˙ql,
,l§å
(âüƒ×
)ùµ5½b
,y§åøµ5½b
ü ìøµ
,y;Wøƒûí¥
,Yå§ùµDúµ5Ýõßå
ý Js_Ýõí½bó°v
,†
ªø¥;WsÝõ5qŸbMí×üVql˙
,V‹J–<
ù
½-¶Êú¼£d¼µÇ5}&¥
…û˝ðÊû˝L<ú¼£d¼µÇ5Áý>˜ií½æ
,;Wùı½-¶5
Ü!Dƶ†à-
:ø ¹Q
ä³’eí
(
ø
)Uà
Microsoft Office Excel 2007¹Q
ä³í’e
1.…˙J©øµõbÌÑúí8$
,øuúµ
2.*¼µÇ5|,µõ
,â˝B¬
,â,B-Yå/p¹Q
ä³íWD
2
3.ʹQ
ä³2
,YμµÇ2ó¹ísµ
,wú@P0J©i†™p
Ñ
1,´†™pÑ
0 (ù
)‚à
Matlab_Òø_Óœ¹Q
ä³5’e
ãÊ˙f
rand pro matrix,ª
Óœ“¨ø_¹Qä³í’e
,w2.â
qì¼µbÑ
3J£©µõbÑ
3ù ø¹Q
ä³í’eæA
M-filef
Ê
MatlabÏW˙‡
,.âlø
Microsoft Office Excel 2007F í¹Q
ä
³’eŸp
M-filefq
,w¥ à-
: (ø
)ø¹Q
ä³ì2ø_±˚
,à
name = [ ] (ù
)zÊ
Excelí¹Q
ä³’eµ`¬Vûk䳯U
[ ]q
(ú
)ì2ø_
3 × 1í
ä³
,z¹Q
ä³2í)UYwFʵ–}|V
,øµ
õÌp
1,ùµõÌp
2,úµõÌp
3 (û
)ø
M-file·±æf1æk˙ç2
ú
Matlab˙}&
(ø
)ãʪŸßí3˙f
main BC,¤
˙fu}&¤¹Q
䳂à½-¶
½h§(5,>˜b
(
ù
)3˙f
main BC2
,@àƒ˙
temp perm,7¤˙ÊlW½-M
D½-M
,1Yw×ü½h§å
(
ú
)3˙f
main BC2
,@àƒ˙
BC adj,¤˙ÊÏWíTuø
iµD
i+1µFßÞí¹Q
ä³R¦|V
,1ì2ø_hí
ä³
û
output}&
(
ø
)lŸ>˜ibÛãÊ˙f
subcross,¤
˙fÉ?}&¹Qä³í,
>˜ib
,5(
,Ê˙–)
(Command Window)p
subcross(A),w2
A
ѹQ
ä³HU
,¹ªl¤¹Qä³5,>˜ib
,Ĥ
,‚à¤˙
fVlŸ>˜ib
(
ù
)lh>˜ibÛ‚à3˙f
main BC,Ê˙–)2p
main BC(A),w2
AѹQ
ä³HU
,¹ª|h>˜ib
ü `Ç
ãÊ˙f
iter BC,¤
˙fuJ
main BCÑ3bYW
,ªJl‚à
BC¶
½h§åU5,>˜ib
,1ú`wÇ$
ú
i˜¶Dhi˜På¶5
Matlab
˙qlÜ1
…û
˝;W-ÞÜ1V)Ÿi˜Dhi˜På¶ùj¶Áý>˜i5
Mat-lab˙xk
:ø .Z‰Ÿ£dÝ=²Ç5,-PÉ:
ù §p3WíÝõJ
3×15W²¾
(column vector)VŸp
,W²¾ì2Ñ
main temp,ÇÕ
,§p3W˝¬íÝõJ
3×2VŸp
,ä³}ì2Ñ
temp leftD
temp rightú ªŸ²¦ø_Ýõ5²Ï¶†í˙
,1øw²|5Ýõ0k
main tempû ªŸ²¦ù_Ýõ5²Ï¶†í˙
,1øw²|5Ýõ0k
main temp,Ä
ÑF}&5¼µÇÑ£d¼µÇ
,Ĥ²|5Ýõ.}Dø_²|íÝõ°ø
µ
ü ªŸ²|ú_Ýõ5²Ï¶†í˙
,ø²|5Ýõì2Ñ
in 3,Ó( ªŸÝ
õ
in 35[0¶†í˙
ý ;W
main temp,main leftD
main rightVªŸúÇ˙
û
i˜¶Dhi˜På¶5
Matlab
˙ÏW¥
…û
˝;Wi˜Dhi˜På¶5ƶ†
,‚à
Matlab,ñªŸÏW˙
,1Y-¥
:ø ßÞ¹Q
ä³’ef
:‚à
Matlab5
randƒbNI
,ÓœßÞ
3µ
,©µ
3_
Ýõ
0D
15¹Q
ä³’e
ù ßÞ¼µ’e²¾
L: LÑW²¾
,˙ÏW2x[ýÝõFÊP0íŠ?
,w
’e$Ñ
L = (111222333)t,
¥³
t[ý²¾0
(transpose)ú l|ªƒ®
ä³
:‚à
for-endc˛
, if-endj4‡i−„D
booleanƒbN
I
,l|ªƒ®
ä³
û ‚à
for-if-endj4‡i−„
,l£dÝ=²Ç5>˜b
ü ‚à
for-endc˛
,l˜F5i˜¶5½b
ý ‚à
for-endc˛
,l˜F5i˜På¶5½b
þ à
if-elseif-else-endj4‡iD
switch-case-otherwise-endj4‡i−„
,ªW
i˜¶Áý>˜i5Ýõ½§
ÿ ‚à
if-elseif-else-endj4‡iD
switch-case-otherwise-endj4‡i−„
,ª
Wi˜På¶Áý>˜i5Ýõ½§
ûı !‹Dn
ø
úÁý>˜ij¶5A^ªœ
…û
˝;W&½æ
,ªWú¼£d²Ç5Áý>˜i}&
,Ê°øµ©_Ýõ
íqŸbîó°í‘K-
,êÛ
676 × 3 = 2028_ú¼£d²Ç
,%¬cÜ£¦Ñ
|-Þ
6_ìÜ
: ìÜ 4.1.1.J
G = (V, E)ÑL<ú¼£dÝ=²Ç
,ÊùµDúµÝõ5
qŸbîó°í‘K-
,êÛu
676_vGíÇ
,w2
É
10_ÇÊÁý>˜i
TÜ,
,½-¶5A^iki˜¶
,/i˜¶5A^ikhi˜På¶
„p:ÊL<ú¼£dÝ=²Ç
G = (V, E)2
,ùµDúµÝõ5qŸ
bîó°-
,u
26 × 26 = 676_Ç ¢ÄÑN¬½-¶
,õÒl
676_Çí!‹
,D-É[
: Jv(vi, G) ≤ Kv(vi, G), ∀vi ∈ V,ª)ÊÁý>˜iíTÜ,
,½-¶í>˜b|ý
,wŸui˜¶
,|ÖÑhi˜
På¶
ìÜ 4.1.2.
擆
4.1.15‘K-
,;W½-¶ i˜¶Dhi˜På¶
,ªWÁ
ý>˜iTÜ(
,êÛ
10_ÇÊÁý>˜iTÜ,
,½-¶5A^ikhi˜På
¶
,/hi˜På¶5A^iki˜¶
„p:
ÊL<ú¼£dÝ=²Ç
G = (V, E)2
,ùµDúµÝõ5qŸ
bîó°-
,u
26 × 26 = 676_Ç ¢ÄÑN¬½-¶
,õÒl
676_Çí!‹
,D-É[
:ª)ÊÁý>˜iíTÜ,
,½-¶í>˜b|ý
,wŸuhi˜På¶
,|ÖÑi
˜¶
ìÜ 4.1.3.
擆
4.1.15‘K-
,;W½-¶ i˜¶Dhi˜På¶
,ªWÁ
ý>˜iTÜ(
,êÛ
208_ÇÊÁý>˜iTÜ,
,½-¶5A^iki˜¶5A
^
,/i˜¶5A^Dhi˜På¶5A^ó°
„p:ÊL<ú¼£dÝ=²Ç
G = (V, E)2
,ùµDúµÝõ5qŸ
bîó°-
,u
26 × 26 = 676_Ç ¢ÄÑN¬½-¶
,õÒl
676_Çí!‹
,D-É[
: Jv(vi, G) = Kv(vi, G), ∀vi ∈ V,ª)ÊÁý>˜iíTÜ,
,½-¶í>˜b|ý
,i˜¶Dhi˜På¶5>˜
bó°
ìÜ 4.1.4.ÊìÜ
4.1.15‘K-
,;W½-¶ i˜¶Dhi˜På¶
,ªWÁ
ý>˜iTÜ(
,êÛ
2_ÇÊÁý>˜iTÜ,
,½-¶5A^Di˜¶5A^ó
°
,/s6Ìikhi˜På¶5A^
„p:
ÊL<ú¼£dÝ=²Ç
G = (V, E)2
,ùµDúµÝõ5qŸ
bîó°-
,u
26 × 26 = 676_Ç ¢ÄÑN¬½-¶
,õÒl
676_Çí!‹
,D-É[
:Jv(vi, G) ≤ Kv(vi, G), ∀vi ∈ V,
ª)ÊÁý>˜iíTÜ,
,½-¶Di˜¶í,>˜bó°
,hi˜På¶í,
>˜b|Ö
ìÜ 4.1.5.
擆
4.1.15‘K-
,;W½-¶ i˜¶Dhi˜På¶
,ªWÁ
„p: