! "
#$ &%('*)
+,
11
- .
+,
15
- /0132 4
+,
15
-1
531
6879<>=
,
?A@CBEDGFCHJILK8MONCPRQTSEUWVAIWXZY\[A]AXA^_HOBa`cbOd,
eAfWXcgihkjlVmICn8oqpAr MsjJtcuEMmbWdmvAdEwsH.
xqtqyqz,
eqfqXTgJh|{~}JT CS~Bq,
fqqT~tEOuqtEkUaAkkH
.
xAt_LMRAC{aCyi^|RT SCu8ad,
AA WWA¡W¢¤£SQP
¢_¥UA§¦¨LdiwcH
. SQP
¢,
©Aª|tE«A¬qAeAfWXcgihCBafA(®,
V¯RtR°±W}GtE²A³|na´W©Aµq¶
^sHaU
,
uav~BW·c¸º¹»Pi¼W½ku~¾J¿~kHiÀmÁUWÂsÃWd µq¶ÄUW«mÅ|B~ƺRMbWdqÇ È
uUÉCH
.
ȮL, SQP
¢mUOÊqËcgRhGtiÌmÍAÎAÏCB8ÐTgJh|t8©Wq²AÑC{aOwLH~yAzOB,
ÒWviÓÔÈqkHcjJtAnqÉH_ÈWuRUW¦¨Õd8wsH
.
ÈitaÖ|B~ׯØJWd,
²AÙ,
ÌqÍqÎAÏGta qq²qÑC{aÚ>ÛÝÜakH ÈAuina·c¸¹§Pi¼A½|{|ÞißW^THEqq qAÌqÍq qqq¡W¢à£SQCQP
¢_¥Gu~¾J¿akHRáq¢UWâqã¯ÔdEwTH
. SQCQP
¢|,
fq|nCvqHmgihUWäqËqåqæ_Mçiq¡Tgih|B|è|¨ÕkH8U,
oAéTêµq¶që
u
ìAí
êJ W
µW¶Aë
UOîAïcêaBEðAñkÝÔdiwTH
.
~ò,
ócô~tEeWfAX_gJhCBaõ_~dSQCQP
¢C{8fc~y_u§w÷öAøCÇEùOúCû»diw|MEw
.
üAöAøWýGtcØiêaSQCQP
¢CtióqþC{aúOw,
ÿ|tËCBaÀ8ÔHJÀAócê~MCgRh|B8õ_OdafWW^cHGÈWuJnmÉmH
.
<>= Ðu8Wd Aÿ|B8DWwGd,
·a
l>Y ·WOLPGua¾i¿akHON_PQS8UAAwÔ¨ Ôd8wTH
.
·O Õ>Y ·WaTPanO
,
_t! "U$#%CB&'TOÉyAz,
$Gt ()|{af*CB!+,
^cH.-qqUCÉmH
.
ÈÔÇ~nsÈJtmgJhCBaõcOd/AX(®yAT ®SaaâAã( (diwcH8U,
-0cj§¼1TêCu»w ®ûAFqnqqMEw
.
üqöqøAý|nA,
ÈitEeqfAXTgJh|B~õ_WdSQCQP
¢|{~fWT,
xt!2q
ë
{CWzi^
.
1
561
2
7898:;98<=>1
2.1 SQCQP
¢GtqJs CS. . . . 1
2.1.1
gih. . . . 2
2.1.2
ÊqËTgih. . . . 2
2.1.3
?@qÖ_t!AB. . . . 3
2.1.4
Js SWt!CD. . . . 4
2.2
îqïcê µq¶që. . . . 5
3
EFGHJIK$LNMOPQR.S5 3.1
TU. . . . 5
3.2
V ¹XWqeqfqXTgih_t ,Y X. . . . 6
3.3
`ZGtAiT S. . . . 7
4
[\]^8 4.1
,_` ¸NabcAt+ ,. . . . 8
4.2
ódAáq¢. . . . 9
4.3
ódeq½. . . . 9
4.4
fg. . . . 10
5
h611 A
ijR.S(2.3)
kl98m<=R.S$nkop13 A.1
qqqq¡Tgih(SOCP)
uJ. . . . 13
A.2 QCQP
tSOCP
rTtsq. . . . 14
B
]^ht$kJuvwIxM!yz15
B.1
?@AÖ_tAB_t8I{. . . . 15
1
|~}< =
.
?q@_t!qËGBEDGF|H~NGPRQcSO~VqIqX Y [q]qXGti©G{mybWdiwTH.
xqtWMqòqn,
óôaBaÂcÃqHReAfAXcgih(jlVqICn~oApAr|MTjJtGuiMqbOdqv~dEwLH
.
xAtAyWz,
eAfWXcgJhC{~}¯R ®SaBq
,
fAAc~t8kauA|t8k§UWA(®(H.
xWtTL®MEqC{a|yi^_RT ®mS uaWd,
qq qmq¡q¢ £SQP
¢c¥aU( ¦(¨ÕÔdEwH. SQP
¢|,
©qªcta«q¬mqemfqXTgEhGB fq¯,
oqéTê µq¶Aë {2A^TH|uquCjB,
V¯JtE°q±q}Gti²³|n~´q©qµq¶
^TH8U
,
u8vWBa·c¸¹PE¼q½(u~¾E¿aHiÀÁUAÂsÃAd µm¶
mÄCUq«mÅGB~ƺJMbWdCmÇÈquRUGÉmH
.
ÈÕ, SQP
¢UWÊmËTgihctaÌqÍmÎqÏ|BOÐTgihct8©qm²qÑG{OWwTHAymzAB
,
ÒAviÓÈmºHcjtAn|ÉH_ÈquU¦(¨(dEwTH
.
·c¸¹ Pi¼q½G{CÞ8ßW^THAymzAB, SQP
¢C{$A^sHEáq¢|U~w|òOâmã¯kdEw H8U,
x¨Et8áq¢GnWRs ®CS~~[q]GMLjtcu8MCH.
©qá,
ÊqËcgih|B~ÌqÍqÎWÏ_t8 qq²qÑ {~Ú ÛÜ~¯HcÈquEnO·T¸¹PE¼q½_{|Þ8ßGn|vHiåmæë
U ®kdaD Û
[4],
ÈEt~ÖGB~׺ØEAd,
²qÙ
,
ÌqÍqÎmÏ_t8 qm²qÑG{~Ú>ÛÝÜOkHGÈquin~·T¸º¹§PE¼A½G{|ÞißA^sH8qm qqÌqÍm qqm¡q¢£
SQCQP
¢_¥Gua¾J¿akHRáq¢UWâqãk(dEwcH[2]. SQCQP
¢|,
fq|nCvmHAgihUWäWËqåqæ_M çJA¡cgihCBèC¨(HiU,
oAécê µA¶Wë u ìAí êJ W µA¶Aë UOîWïcêOB8ðAñ( ÔdED Û,
·G¸¹ P¼q½_tmÞißuqumjRB
,
µq¶ tiqjCnCvWH.
Oò,
óTôOt8eAfqXcgihCB~õcOdSQCQP
¢G{fA_Oy_u§w öWø|ÇEùOúûLdiw_Miw
.
üAöWøAýCtTØiê~SQCQP
¢|tEóAþC{aúOw,
ÿtEËCB~Ài(HJÀAócêOMmgJhCBaõ_WdEfAW^cHGÈWuinqÉmH
.
<>=
ÐÔuaOd WÿGBEDOw_d
,
·~
l>Y ·O!WsJLPcu8¾E¿8H~NGPJQsS8UAAw¯¨(dEwH
.
·W l Y ·WaTbLP~nO
,
Gt "mU$#%CB!&'cOÉyAz,
$_t! (.)C{af*|B + ,^TH-qmUCÉmH
.
ÈkÇ8nLÈRtgRhGB8õc~d!/WX¯ ÔyWRT SaaâWãk®diw_H8U,
-0cj ¼l1TêGuw®ûmFqnqmMEw
.
üqöqømýGnq,
ÈitaeqfqXsgih|B~õcqdSQCQP
¢|{~fqc,
xAt2q
ë
{COzE^
.
üqöqøqý_nq
,
Çb0J|nSQCQP
¢GtqJs |S|uExAt µ¶qëBAw_d$J^TH
.
|B,
Gn
,
ÿ.GBEDqwGd~óTô~BaÂcÃmHieqfqXcgih|{c,
xqt,Y
XGB!AwTd!J^TH
.
CnA
,
XCn,Y
X_OymgJhCBEõcOd
SQCQP
¢{8fA_Oy _ódGteA½C{8öAøG
,
x»BaõA^TH.fgG{!|H
.
eGB,
GneqïG{!D LH.
2
¡ 4£¢¤4~¥£¦~¢¤4~§£¨¤©Èit!Gnq
,
ª_zABaqq qqÌqÍq qqq¡q¢à£SQCQP
¢c¥WtqJs CS~{A,
|B,
xt8îqïTê µq¶që
BAw_dD LH
.
2.1 SQCQP
«¬®°¯²±´³µ·¶SQCQP
¢|¸¹[2]
B8DAwcd,
äqËqåqæ_MCçiq¡Tgih|B~õcWdaâqã¯ÔdawsHEU,
Øiêº _ U«Tçº
_
nqÉHi°q±|B~õ_WdLj§fqqåAæ|nmÉCH
.
OòC,
ÈAÈJnq»¼GtWymzAB,
çRq¡TgihGBCè,
Wd!½qïG{¾GzH
.
2.1.1
R.SüqöqøqýGnq¿st8eqfqXTgihC{~Ú>ÛÀ
. minimize f (x)
subject to c i (x) ≤ 0, i = 1, . . . , m (2.1)
ÈmÈin
, f : < n −→ <, c i : < n −→ <, i = 1, . . . , m
~ LÞ.ÁÂsêiämËqåmæ_MCçº_
u^LH
.
©mªBCçim¡TgihctaÌqÍmÎqÏ|BmÃÄ
Y
ÌqÍctÅqòmB~¬q_tÄ
Y
ÌmͯjÇÆLÇkH8U
,
ÈWÈinq»¼_t yAzOB,
ÌOÍqÎAÏCÃÄY
tTjRtOBCèWH|u^cH
.
ÈÉ~t.½mïCa¬A|t.ÄY
ÌAÍmUÊËW^THJ°q±CBsj
ÌÍ
nvmH
.
gih(2.1)
BaõTOd8_t!Î,
{+GFH
.
ÏÐÒÑ
1.
gih(2.1)
ÓGnmMEwmeqfq}GtÔm±|{Õ.
2.
PV!ÖcmÎqÏ|{~_yE^x ¯ ∈ < n ,
^GMAû×, c i (¯ x) < 0, i = 1, . . . , m
{~|yE^x ¯
U$ÊËA^TH.
gih
(2.1)
BaõTWd, l 1
Ø tÙÚGM.ÛÜAmQÞÝ$º_
F r : < n −→ <
{aGtTB ,ß ^TH. F r (x) := f (x) + r
m
X
i=1
[c i (x)] + (2.2)
ÈqÈJn
, r > 0
ÛÜAmQ°Ý ` ¸NabcWnmÉ Û, [·] +
max{0, ·}
{àáR^LH.
Î ,â tlÉ~nq,
ãËAo_viw
r > 0
Baõ_WdF r
tEÌqÍ|MmieäA}Ôuagih(2.1)
tJemfA}UO©åW^cH_ÈAuUWËCòCb~diw H[1, §5.5].
ÇWyNæWPV!Öc.mÎmÏ_{~_y8^qÖ,
^_Mmû×mPV!Öc.mÖCUÊËA^sH_u8v,
xWtÔLM8ÖG{2TèqÞWt.çÂcv~nOqA^THOJs CS8U¸¹
[3]
naâq㯮dEwTH. 2.1.2
ijR.S?@_B8Dqwcd~Ö
x ∈ < n
UT¨lÔyTu^sH. SQCQP
¢ctaÊqËsgihG{,
ctCgEh(2.3)
u~d
,Y
XO^cH
.
^GMWû×, SQCQP
¢?@GBEDAw|d,
ÊWËcgih(2.3)
{d
BWwTdEeäqX_,
èé
áêO{ë
,
^TH
.
minimize g(x) T d + 1 2 d T Bd subject to c i (x) + g i (x) T d + α i
2 d T G i (x)d ≤ 0, i = 1, . . . , m (2.3)
ÈqÈJn
, α i ∈ [0, 1], g(x) := ∇f (x), g i (x) := ∇c i (x), G i (x) := ∇ 2 c i (x) ∈ S n , i = 1, . . . , m
u
, B ∈ S n
,
u»^cH
.
yOùC, S n
n × n
õìAúíîï|t.Ôq±|{ðO^.
ÊAËcgJh(2.3)
çmÌqÍq mqm¡TgEhGnmÉCHOòs¨
,
ÄñcM8 qlqqm¡TgEh|BsòGnCvi ,
ó8Öm¢|{~qwGdO¼1sêOB }WÈAuUCnvAH.
gJh¤£
2.3
¥RB!Æ_Ç (H`
¸laNc
(α i ) m i=1
aÊAËGgJh(2.3)
t8óWúWåAæ ë UOðWñ( kHGs,
iôõöø÷
,
ùûúA
üXýÿþ.
t8p
(2.4)
BLibAd zc¨kH[2, Lemma2.1],
s 1 ≤ 2s 1 = ⇒ α i = 0, i = 1, . . . , m s 3 ≤ 2s 1 ≤ s 2 = ⇒ α i =
( 1, i ∈ J 0, i / ∈ J s 3 > 2s 1 = ⇒ α i = 1, i = 1, . . . , m
(2.4)
ÈqÈJn
, J
D¯s 1 , s 2 , s 3
Y
BLibAd ,ß
®(H
.
J := {i|θc i (¯ x) ≤ c i (x)}, (2.5) s 1 := max
i:c
i(x)>0
c i (x)
c i (x) − ϑc i (¯ x) , (2.6)
s 2 := min
min i∈J
c i (x) − ϑc i (¯ x) κ i
, 1
, (2.7)
s 3 := min
s 2 , min
i / ∈J
−2(ϑ − θ)c i (¯ x) κ i
(2.8)
yAùG
, ¯ x
Î ,1
n$L¨ÕÔyGPlVÖc.Ö, θ ∈ [0, 1)
uϑ ∈ (θ, 1)
àGB , ky ` ¸ac
, κ i := (¯ x − x) T G i (x)(¯ x − x), i = 1, . . . , m,
u^TH.
ÈJtCu8v
,
ÊOËcgRh(2.3)
|PV.ÖcAÎWÏ|{E ~^cHJóOúAåWæO}C{!ÕN×[2],
~¨RBCNY
>Y cAÎqÏ
(KKT
ÎWÏ)
{a|yi^_¸G¸_
¯¹
v = (v 1 , . . . , v m ) T
UÊËTWd
,
Bd + g(x) +
m
X
i=1
v i (α i G i (x)d + g i (x)) = 0, c i (x) + g i (x) T d + α i
2 d T G i (x)d ≤ 0, v i ≥ 0, (2.9) v i
c i (x) + g i (x) T d + α i
2 d T G i (x)d
= 0, i = 1, . . . , m
U>ÛkÈquUW¦k¨ÕdEwTH
[8, Theorem 28.2] .
Èit(d, v)
{aÊmËTgih(2.3)
tKKT
Ö(ua¾
.
2.1.3
$kd
{~ÊqËTgih(2.3)
taeqfq}Ôu»^TH|u,
Gt?@x new
GPQ !β
{~Wwcdx new := x + βd
ubJ_¨Õ(H
.
JT ®SOt8oAéTê µq¶Aë{8ðqñW^THWyqzWB
, β > 0
a Y {8_yi^k®B"q¿kH
.
F r (x + βd) − F r (x) ≤ σβ( ¯ F r (x, d, α) − F r (x)) (2.10)
ÈqÈJn
, σ ∈ (0, 1)
~f$#AM ,_, α = (α i ) m i=1
nɺÛ, ¯ F r (x, d, α)
G(x) := ∇ 2 f (x)
{Lj×Jw_d Y
nmÉqyT¨kH
.
F ¯ r (x, d, α) := f (x) + g(x) T d + 1
2 d T G(x)d + r
m
X
i=1
h c i (x) + g i (x) T d + α i
2 d T G i (x)d i
+
d
~ÊqËTgih(2.3)
t8ómúqåqæq}|nmÉCHaòT¨, c i (x) + g i (x) T d + 1 2 α i d T G i (x)d ≤ 0
uEMHOtOn, F ¯ r (x, d, α) − F r (x) = g(x) T d + 1
2 d T G(x)d − r
m
X
i=1
[c i (x)] + (2.11)
U>Û
.
ÈqÈn
,
à|tx ∈ < n
uα = (α i ) m i=1
B~õT~d,
ÊqËTgRh(2.3)
tKKT
Ö(d, v)
UÊËO^THGuÎ ,
^TH
.
~¨8B,
2B − G(x) +
m
X
i=1
α i v i G i (x) µI (2.12)
{a_yE^¯(M ,_
µ > 0
UÊËTOd, r ≥ max i v i
U>ÛuÎ,
^TH|u
,
Y(2.11)
t%&G{g(x) T d + 1
2 d T G(x)d − r
m
X
i=1
[c i (x)] + ≤ − 1
2 µ k d k 2 (2.13)
u('ñGnv
,
Y tsLB, d
U!ÛÜqmQÞÝ$º_
t*) +qáê|uEMCH|ÈquRUawJ|H
[2, Lemma3.1].
F ¯ r (x, d, α) − F r (x) ≤ − 1
2 µ k d k 2 (2.14)
8¨JB
, d 6= 0
nWÉ|¿,
ãOËäÔwO^$ _dWtβ > 0
BEõ_ad,
Y
(2.10)
U,Û-$[2, Lemma3.2].
2.1.4
./0214365k78SQCQP
¢GtqRs SO,
¿Tts®BC9¯ ;:.
step0:
ª <x 1 ∈ < n ,
ÛÜ=> Ý@?6A6BDCFEGªH Ir 0 ∈ (0, +∞),
JKγ ∈ (0, 1), θ ∈ [0, 1), ϑ ∈ (θ, 1), σ ∈ (0, 1)
L;MN,
O PQERCST6U*VFWRXx ¯
U,Y,Z. k := 1
[(L \.
step1:
]JI^_`aB k
UbY,Z. (2.4)
cbdebfα k = (α k ) m i=1
UbgJ,XF:. (x, B, α) = (x k , B k , α k )
c*^ X$:hi$jk
(2.3)
U,lnm, KKT
<(d k , v k ) ∈ < n × < m
U*o pq:.
rts, d k = 0
uvwFxy$z
ii .
{}|4u~ q wFxstep2
. step2:
=>(?FAFB(CnEUr k :=
( r k−1 r k−1 ≥ max i v k i + δ
Gmax i v k i + 2δ
{ |4u~b$(2.15)
[*sfns
,
6U*VFWRXFGβ k
U{1, γ, γ 2 , γ 3 . . .}
$YZ.
F r
k(x k + βd k ) − F r
k(x k ) ≤ σβ F ¯ r
k(x k , d k , α k ) − F r
k(x k )
{sf
, x k+1 := x k + β k d k , k := k + 1
[Fs, step1
.
ii
, (x
k, v
k)
@2.1
KKT
¢¡£,¤,
¥§¦©¨x
kª2.1
¬«¯®4°t±³².
2.2
´¶µ¸·º¹ » ¼½©¾
, SQCQP
¿6G*À$ÁÂÃÄcp $fÅÆÇ:.
À$ÁÂÃÄc*p$f È,
6G*J É1
ÊË2w
fb$:
[2, Theorem3.1].
ÌÍ
1 SQCQP
¿6cÎMnϧÐÑ;Òw
W,<a
{x k }, {B k }, {α k }
c^$s f,
<a{x k }
ÈÓÔuÏ,
Òc
,
XÆÕfGk
cp nf*ÊÑÖÏØ×p;Mº|¯~µ > 0
[µ 1 ≥ µ 2 > 0
ÊÙÚ X$:[©ÛJX$:. 2B k − G(x k ) +
m
X
i=1
α k i v i k G i (x k ) µI
*pµ 1 I B k µ 2 I
{ GF[,m
, SQCQP
¿ÈjbkÝÜ2.1
Þ G*ßlc*L$fàá XÕ:,,
rbs$\tÈ, {x k }
GâãFGäå<6Èjk
(2.1)
G*ßlº[b~:.
6c
, SQCQP
¿6G*æç$Á~*ÂÃÄc*pnf,ÅÆº:.
æç$ÁÂÃÄc*p Ff,
6GbÛJÖè G$r[u JÉ2
ÊÑÖÏ×p2é [tÊËÎw
fÕ:
[2, Theorem4.1].
êÌë
1.
jk(2.1)
È,
v:RJKµ ∗ > 0
c*^$sf,
H (x ∗ , v ∗ ) µ ∗ I, ∀v ∗ ∈ V ∗
UtìWXßl
x ∗
Unr³p.
W*ís, H (x, v) := G(x)+ P m
i=1 v i G i (x), V ∗ := {v ∗ ∈ < n |(x ∗ , v ∗ )
ÈjkÝÜ
2.1
ÞGKKT
<6uv:.
2. G
L M§NG 1 , ..., G m
Èx ∗
Gîïc*L 6f}ðñòºóôõöuv:.
ÌÍ
2 SQCQP
¿6cL 6f,÷H <x 1
U,ßlx ∗
Gø iî \©cYbN,
*p,
XÆ$fGk
cp $fB k := G(x k )
[(X wnx,
ÐÑ;Ò w :<a{x k }
Èx ∗
cQ-
èÂÃX$:.
Ò,bc, dist(v k , V ∗ )
Èù c
R-
èÂà X$:. iii
3
úüûþýüÿ
u È
,
cbL6q:nÁ,~jtk6Gp6uv:,
!#"GbÐ$ :&%'(=*)uG+=,%-.'ð0/213+=,%ñ=,/5476ÎOcbL6q58PtC 9;:ß#<Õjkc,p Õf>=@?s
,
Aß#<Õjk [*sfGJ#<U,` |.
3.1
BDC#
uFE
w
8R \@pG>EGc*pnf&=@?RX@8
.
•
PtC29;:PC29[tÈ
,
6GHIn7JIc#Kw
íqGML#NÊ]Oc>PH;Ò
w
WU,ãQ©X8nr
G uv;Ï
,
PtC29R:È,
ò6Ot>,S#TVUCW.X#YuGPtCZ9¯G:FU*ã@QRX@8.
iii
dist(v, V ) = min{kv − vk | ¯ ¯ v ∈ V }
•
+,=,%bñ=,/[476ÎO+=\%*ñ=,/54V6ÎO[È&]KFGUC#WÊ^._#`#a6U[bcFcÓ$s fF`U` |té[bU
|
.
éGW#d,
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X
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C
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C
X
c=1
log 1 +
U
X
u=1
α u,c p uc
n c
!
subject to
C
X
c=1
p u,c ≤ P u u = 1, . . . , U
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U
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n c
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C
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X
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n c
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C
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X
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ÃÅÄuÆÅÇ
[1] D.P. Bertsekas, Constrained Optimization and Lagrange Multiplier Methods, Academic Press, New York, NY, 1982.
[2] M. Fukushima, Z.-Q. Luo and P. Tseng, A sequential quadratically constrained quadratic programming method for differentiable convex minimization, SIAM J. Optimization, 12 (2002), pp. 436–460.
[3] M. Fukushima, A finitely convergent algorithm for convex inequalities, IEEE Trans. Autom.
Contr., AC-27 (1982), pp. 1126–1127.
[4] M. Fukushima, A successive quadratic programming algorithm with global and superlinear convergence properties, Math. Programming, 35 (1986), pp. 253–264.
[5] Z.-Q. Luo and S. Zhang, On extensions of Frank-Wolfe theorems, Comput. Optim. Appl., 13 (1999), pp. 87–110.
[6] M.S. Lobo, L. Vandenberghe, S. Boyd and H. Lebret, Applications of second-order cone programing, Linear Algebra Appl., 284 (1998), pp. 193–228.
[7] S. Ohno, P. Anghel, G. B. Giannakis, and Z.-Q. Luo, Multi-carrier multiple access is sum-rate optimal for block transmissions over circulant ISI channels, Proc. of Intl. Conf.
on Communications, vol. 3., pp. 1656-1660, New York City, N.Y., April 28-May 2, 2002.
[8] R.T. Rockafellar, Convex Analysis, Princeton University Press, Princeton, NJ, 1970.
A
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!aç']µ9måèé'. minimize x T P 0 x + 2q 0 T x + r 0
subject to x T P i x + 2q i T x + r i ≤ 0, i = 1, . . . , m (A.1)
e-^'¸
, P 0 , P i
ª+êë,·°Åì+H,72¨¢.
í', P 0 := 1 2 B, q 0 := 1 2 g(x), r 0 := 0,
ÇlÉ¥Ê, P i := α 2
iG i (x), q i := 1 2 g i (x), r i := c i (x), i = 1, . . . , m,
2Z¾(o(A.1)
ª3Ú(2.3)
îM'.
A.1
ïðñóòôöõ÷(SOCP)
øXùäQú
, SOCP
ª! ,'ÉëûúØU@˾u. minimize f T x
subject to k A i x + b i k≤ c T i x + d i , i = 1, ..., N (A.2)
..4
, x ∈ < n
ª!aQ , f ∈ < n , A i ∈ < (n
i−1)×n , b i ∈ < n
i−1 , c i ∈ < n , d i ∈ <
ªEý¾*,üL'¿Æ¾NeZ· ÎOÏOÐsÑKÒAb
.
Û æI2]ª
K j = ("
x 1
x 2
#
x 1 ∈ <, x 2 ∈ < j−1 , k x 2 k≤ x 1
)
2s·ýb@˾<4þW3b
,
.Û¾7å! ÿj
Û æN2à.
í3ú, j = 1
s¾(oK 1 = {x 1 |x 1 ∈ <, 0 ≤ x 1 }
2<$b
.
Ae,
·ý<ÉKk A i x + b i k≤ c T i x + d i ⇐⇒
"
c T i A i
# x +
"
d i
b i
#
∈ K n
i!b.2¹;,
.
.]+.2kå 'Q2, SOCP
å! ,'Éëûú y .2-*%3 . minimize f T x
subject to A ¯ i x + ¯ b i ∈ K n
i, i = 1, . . . , N (A.3)
eA^H¸
, ¯ A i = (c i , A T i ) T , ¯ b i = (d T i , b T i ) T
!b.
A.2 QCQP
SOCP
QCQP(A.1)
ª,
QeAúAa t
å!§'.2ú5Él©,
,'Éëûúy
<çQL'¿Û¾C
. minimize t
subject to x T P 0 x + 2q T 0 x + r 0 ≤ t
x T P i x + 2q T i x + r i ≤ 0, i = 1, ..., m
(A.4)
..4
,
HEµm3åÌ 5Q.2ú¢ÉO, (A.4)
å(A.2)
3ú!aç'(.2¨9b.
$MÇ, y = (t, x T ) T
2s'.
1. P 0 O
eªP i O
<VWª,
½¾:¿4úZÅ×O4ÜݪP 0 1/2 x + P 0 −1/2 q 0
≤ t
eª
P i 1/2 x + P i −1/2 q i
≤ q i P i −1 q i − r i 1/2
2
SOCP
ÜÝQúaçb@˾<[6].
2. P 0 = O
AeªP i = O
VWª,
½s¾j¿4úEÅ×'ÜÝHª2q T 0 x + r 0 ≤ t, 2q i T x + r i ≤ 0
2-ú$ Z!
,
½¥¾Oľq ¯ T 0 = (−1, 2q 0 T ), q ¯ i T = (0, 2q i T )
2îÇ
.A2%
, 0 ≤ − q ¯ 0 T y −r 0 , 0 ≤
−¯ q T i y − r i
21
ÿHSOCP
ÜÝQúaç3 .
3.
&KMAd!¾XúN*© ªQ,¿$ZV9W,
($8Hì,P 0 6= O
;P 0 O
Ae ªP i 6= O
;P i O
VW3ú ª,
P ¯ 0 = 0 0 0 P 0
!
, P ¯ i = 0 0 0 P i
!
, q ¯ T 0 = (−1, 2q 0 T ), q ¯ T i = (0, 2q T i )
2Ç
.
'2,
ÜÝHªy T P ¯ 0 y + ¯ q 0 t y + r 0 ≤ 0, y T P ¯ i y + ¯ q t i y + r i ≤ 0
26aç9
. ¯ P 0 O, P ¯ i O
A;#¿, ¯ P 0 = C 0 T C 0 , P ¯ i = C i T C i
2%Qb.
+l©,
ÜÝHª
1 − r 0
1 + r 0
0
−
q 0 T
−q 0 T
−2C 0
y ∈ K γ
0+2 ,
1 − r i
1 + r i
0
−
q i T
−q T i
−2C i
y ∈ K γ
i+2
2<$b
.
eA^H¸γ i = rankC i , i = 0, 1, . . . , m
.
B
! Ï%$ &('*),+.-0/,1B.1
2435687:9;=<4>-3 -2 -1 0 1 2 3 4
0 10 20 30 40 50 60 70 80 90 100 log 10 δ k
k
-3 -2 -1 0 1 2 3 4
0 2 4 6 8 10 12
log 10 δ k
k
-4 -3 -2 -1 0 1 2 3 4
0 2 4 6 8 10 12
log 10 | d k |
k
-3 -2 -1 0 1 2 3 4
0 2 4 6 8 10 12
log 10 |d k |
k
ö
1:
° ±§,
@?#¡l£Û¤b¦C§ áBA& õk ≤ 100,
C& õk ≤ 12
ç,SQCQP
m áDA+®ç,
SQP
m áDC+®ç-3 -2 -1 0 1 2 3 4 5
0 10 20 30 40 50 60 70 80 90 100 log 10 δ k
k
-3 -2 -1 0 1 2 3 4 5
0 2 4 6 8 10 12 14
log 10 δ k
k
-6 -5 -4 -3 -2 -1 0 1 2 3 4
0 2 4 6 8 10 12 14
log 10 |d k |
k
-5 -4 -3 -2 -1 0 1 2 3 4
0 2 4 6 8 10 12
log 10 |d k |
k
ö