Improved Bounds on the List Decreasing Heuristic for the Vertex Cover Problem
|
|
- Sheena Scott
- 6 years ago
- Views:
Transcription
1 0 Naoal our Sou Irov Bou o h L crag Hurc for h Vrx ovr Probl Ta-Pao huag of SIE Naoal Tawa Noral Uvr a hg Yu Uvr Eal: chuag@cuuw Shu-Sh L of SIE Naoal Tawa Noral Uvr Eal: l@cuuw Abrac Th l crag hurc for h vrx covr robl a ol vrx covrg algorh A ur bou /3/ ha b roo o h aroxao rao for a a grah ha alo b gv o rach a lowr bou of // I h ar w rf h chqu of rvou rarchr a coruc a w of grah whch ca hac h lowr bou o / a all h grah ca b cagorz o a grou Th w roo a of algorh o oba a ghr bou a rov wh a xal Ix Tr aroxao algorh l crag hurc vrx covr robl I INTROUTION Th u vrx covr robl h ozao robl of fg a u caral vrx covr for a gv grah L G V E b a urc uwgh grah A of vrc V call a vrx covr f for a g E a la o of o coa Th vrx covr robl a faou NP-har ozao robl urrl hr o oloal algorh o olv oall Svral aroxao algorh for h vrx covr robl hav b roo wh varou rforac guara or al [] crb a vr l aroxao algorh ba o axal achg whch gv a aroxao rao of ag al [] roo h ol vrx covrg robl Th u o rl ow a h bgg vrc ar rval o b o a a co of lco u b a for ach rval vrx Th ca vrx lc f a ol f ha a la a olc alra rval ghbor So aroxao algorh ar ba o a ac orrg of vrc r b hr gr a h vrx gr ar o ua h roc A rg ol wha Av al call h l hurc [3] Th of algorh ca h vrc o b o a fx gv orr call a l a a a fv co of lco for h currl ca vrx Av al [3] roo h l crag hurc lbo call LLf [] ha choo vrc orr of crag gr lcg a vrx f ajac o a ucovr g Th rov ha aroxao rao a o whr h axu gr of h grah Th alo how ha a lowr bou o h aroxao rao // Sc l forao avalabl a ach h l crag hurc LLf rfor wor ha h gr algorh whch ral lc a vrx ajac o h larg ubr of ucovr g O h ohr ha lbo al [] rouc a br l hurc algorh LRgh whch ra vrc crag orr of hr gr I h ar w oba a ghr ur bou 3 7 orgh 0 Naoal ha Uvr All rgh rrv
2 0 Naoal our Sou for h l crag hurc [3] Morovr w coruc a grou of grah o how ha h l crag hurc ha a lowr bou of / Th rul br ha ha of Av al [3] whch // Th ar orgaz a follow Sco brfl rvw h rolog Sco 3 roo a ghr ur bou for h l crag hurc algorh Sco coruc a grou of grah rcuro for Lal a brf cocluo a Sco 5 II PRELIMINARIES A Vrx covr robl A vrx covr a of vrc a grah Gv a urc grah G V E a of vrc V call a vrx covr f for a g E a la o of o coa I ohr wor gv G a vrx covr of G a of vrc V uch ha V V u v E u V or v V or boh For a vrx v V w o Nv h of ghbor of v a Nv v h gr of v ubr of ghbor L rr h ubr of vrc h ubr of g a h axu gr of G Au h vrc ar labl uch ha L b a vrx covr a o o h z of h u vrx covr a h /o o h aroxao rao B L hurc algorh ag al [] roo a ol vrx covrg algorh Th ca vrx lc f a ol f ha a la a olc alra rval ghbor L hurc algorh a of ol vrx covrg algorh A ruao of h vrc of V call a l Th l a b or accorg o h vrc gr Th vrc ar rval o b o fro h l Th algorh ca h l ral a a a co of lco or o for h currl ca vrx al Th vrx gr ar o ua urg h roc L crag hurc algorh wa r b Av al [3] 007 whch call LLf [] I ca vrc orr of crag gr fro lf o rgh a lc a vrx f ajac o a ucovr g lbo al [] of h l crag hurc algorh o LRgh hurc algorh Th ca h l fro rgh o lf Th ca vrx lc f a ol f a la a rgh ghbor o lc I h ar w al wh LLf a aalz bou o h aroxao rao Lar rograg A ora ool h aal of aroxao algorh a lar rograg rlaxao of h rla gr rograg robl a wa fr u b Lováz [3] Th raoal aroach how Fgur Igr Lar Prograg Igral Soluo Aroxao Rlaxao Roug Lar Prograg Solvr Fraco Soluo Fgur Th raoal aroach h gr lar rograg robl Th followg fo a lar rograg rlaxao for h vrx covr robl For a vrx covr of a grah G V E w o x v h wgh of vrx v a f v X{x v } v V a follow: x v 0 v 73 orgh 0 Naoal ha Uvr All rgh rrv
3 0 Naoal our Sou whr X a 0 or valu fabl oluo for h lar rograg a covrl vr 0 or fabl oluo corro o a vrx covr for G For a g uv E of a grah G V E w o h wgh of g a f Y{ } E a follow: /u or /v or / g o h g algorh whr Y a fraco valu fabl oluo for h lar rograg Th a ag of ogav wgh o h g of G uch ha h u of h g wgh a a vrx a o o A Y{ } E ha af h coo abov call a fracoal achg of G W f h z of X a X x a clarl X W f h z of Y a Y I h vrx covr robl w r o z h uao of x v whr v V x v v V x x v u v E x 0 v V v u Th ual o axz h uao of whr E ax E δ v v V 0 E For a grah G l o b a u vrx covr of G b a vrx covr of G a Y b a fracoal achg larl X o Y E Ug h abov fac Av al oba o bou o h aroxao rao for h LLf v V v E algorh III AN ANALYSIS FOR THE UPPER BOUN ON THE APPROXIMATION RATIO Gv a grah G V E l o h gr of vrx v a au h vrc ar labl uch ha Th axu gr a h u gr Th l crag hurc algorh [3] how blow Algorh LLf Iu : A grah G a a aoca l L<v v v > or b crag gr : ; // Iall For o - //Sca h l L fro lf o rgh { }; L v b h currl ca vrx; L R o h of g c o v bu o c o a vrx alra ; If R o h : { v }; Rur ; Th abov algorh ouu a vrx covr - b cag h vrc o b o I [3] Av al coruc a ual fabl oluo Y{ } E a follow L b h u x uch ha {v v v } a u caral of vrc Y oba b all g for ach g For ach for whch v lc b LLf h choo a arbrar g fro R a rag a wgh 7 orgh 0 Naoal ha Uvr All rgh rrv
4 Now a fracoal achg Y{ } E of G ca b oba fro I h followg w wll rf h chqu of Av al [3] a Ia Hroh [5 6] o rv h followg hor Thor L b h oluo oba b LLf a o b h z of h oal oluo h * o Proof I h lc ar oba b LLf w choo h u o v v v uch ha h gr u of h o ju grar ha or qual o W h l - Fr w focu o h fr o Th gr u of h o wll b l ha or qual o - a how blow Sco w focu o h followg o Th gr u of h o wll b l ha or qual o - a blow a W h al h auch-schwarz qual u [3] Sc ar ov gr wh u a o - h L o b h z of h oal oluo Now w coruc a ffr fracoal achg Y{ } E a follow L R o h of g c o v bu o c o a vrx alra W lc a arbrar g fro R a ag h wgh Each of h ohr g E ag h wgh Th o Ug h arhc-gorc a qual o * o o * o Th quao or rc ha h rul [5] bu o goo ough So w roo a ghr ur bou for LLf h followg ho Naoal our Sou orgh 0 Naoal ha Uvr All rgh rrv
5 0 Naoal our Sou r Thor L b h oluo oba b LLf b h ubr of vrc wh axu gr a o b h z of h oal oluo If < h o Proof I LLf w v h o o wo ar h lc ar a ulc ar Th lc ar qual o h vrx covr I h lc ar w hav a o - o a ra a la o o o b ulc W ca wr h quao a follow { Now w coruc a fracoal achg Y } Th oal wgh of h g ca b wr a follow Σ Q o Σ o 3 If a < h W u h chqu roo b Av al [3] o ruc h forula a follow: o Σ o Fro a w ca g h aroxao rao a follow: o L u how a xal Fgur No ha h oal ubr of vrc 5 h oal ubr of g 8 h axu gr 6 N h ubr of vrc wh axu gr Th xal ca b gralz o l N b a arbrar valu W hav -- o *8 *6 6 3 o 8 Now w f h lowr bou forula [3] 6 w ca ar o 3 W ca f ha h ur bou o h aroxao rao ug 5 ju qual o h lowr bou / [3] Th a w hav fou a xal o clo h ga bw h wo bou 76 orgh 0 Naoal ha Uvr All rgh rrv
6 0 Naoal our Sou L u al wh h ca ha all vrc h grah hav h axu gr grn Grou A 3 #N grn Grou B #N grn Grou grn Grou 3 5 #N # Vrx gr Wgh of hc g V V V 3 V /6 A B /6 /6 /6 V 5 V 6 V 7 V 8 V 9 V 0 V V V 3 V V 5 V 6 V 7 V 8 V 9 V 0 V V V 3 V V 5 V 6 5 6**6*0*8 6 *6* *6 * /5 /5 /5 /5 /5 /5 /5 /5 /5 /5 /5 /5 /5 /5 /5 / Fgur A xal ug N /5 /5 /5 /5 orollar or a grah GV E wh a L b h oluo oba b LLf al o G a o b h z of h oal oluo h Proof o If a h ach g E ca b ag h wgh / a o Fro w ca g h aroxao rao a follow: o 6 Exal L u how h rul of col grah Fgur 3 I col grah f w u axu gr o xr h aroxao rao h w wll g bggr rao wh bggr So w ca g a ghr bou o / 77 orgh 0 Naoal ha Uvr All rgh rrv
7 our forula ha ha of Av al [3] Th xac aroxao rao h col grah alwa o -/- Fgur 3 Th rul of col grah ug 3 o 00 L u al wh h ca ha h grah ha vrc wh u gr or 0 orollar or a grah GV E wh < a - - or 0 hr ar vrc wh u gr or 0 L b h oluo oba b LLf al o G a o b h z of h oal oluo h o q Proof I LLf w v h o o wo ar h lc ar a ulc ar Th lc ar qual o h vrx covr If hr ar vrc wh u gr or 0 h all h vrc wll b u o h ulc ar So w hav 7 Th wgh of h g ca b ag larl o ho h roof of Thor W coruc a fracoal achg Y { } Th Σ o Σ Q o If - - or 0 a < h 78 0 Naoal our Sou orgh 0 Naoal ha Uvr All rgh rrv
8 0 Naoal our Sou W u h chqu roo b Av al [3] o ruc h forula a follow: o Σ o Fro 8 a 9 w ca g h aroxao rao a follow: o Exal 9 L u u h bar grah a a xal Fgur No ha h oal ubr of vrc 7 h oal ubr of g 8 h axu gr 3 h ubr of vrc wh axu gr 8 h ubr of vrc wh u gr 6 I h bar grah 7 6 Now w ag h valu / /3 a h wgh of h hc g Fgur Th ohr g ar alo ag a wgh of / /3 a : Ug Equao 9 w hav - o /6569 o a : Ug h ur bou [3] o a 3 : Ug h ur bou w roo o W ca f 866 < 75 W hav a ghr bou /ha ho of Av al [3] Fgur A xal ug axu gr 3 79 orgh 0 Naoal ha Uvr All rgh rrv
9 0 Naoal our Sou IV A NEW GROUP OF GRAPHS IN REUR- SIVE FORM TO MATH THE LOWER BOUN Rucg h ga bw h lowr bou a ur bou o of h a challg facg h rarchr I h co w roo a w grou of grah whch ca hac h lowr bou o h aroxao rao for LLf roo b Av al [3] Th grah ca b rr a a rcuro rucur how Fgur 5 Th axu gr of h grah N o N h h lowr bou o h aroxao rao wll b N N N N I a ha h aroxao rao of h lowr bou alo co u o / Av al [3] oba a ur bou /3/ whch ca b rr or r- c for a If w l N h aroxao rao of our grah ca b wr a N N N N N N N N N a l / N N Th ga bw h wo bou N N N / N 05 I a h ga bw N N N N h ur a lowr bou co u o 05 wh f Exal I Fgur 6 h axu gr of h grah N o N h lowr bou o h aroxao rao wll b I a ha h aroxao rao of h lowr bou co u o / N h ur bou [3] wll b N Th N grn Grou A A A #N grn Grou A A N- A N- #N N - grn Grou B B B B 5 B 6 grn #N Grou B #N B N- B N- BN-5 BN-6 N - grn grn Grou # Grou N # grn Grou # N Grou gr Toal No # * S A N N N * N - B N N N * N - N N * N N * N N N N N on N N Rao N / Fgur 5 Th rucur of h xal grou 80 orgh 0 Naoal ha Uvr All rgh rrv
10 0 Naoal our Sou grn Grou A A A A 3 A #N grn #N Grou B B B B 3 B B 5 B 6 B 7 B 8 B 9 B 0 B B B 3 B B 5 B 6 grn Grou grn grn grn # Grou # Grou 3 # Grou # N grn Grou # Grou gr Toal No # * S A N N N * B N N N * N N * N N * NN N N N o N N N Rao N/ Fgur 6 A xal of grah wh axu gr N IV ONLUSION Afr carful corao a rvao w oba h quao Thor Th rul br ha ha of Ia Hroh [5 6] Furhror w hav roo a w grou of grah whch ca co u h lowr bou o / Th rul alo br ha ha of Av al [3] Th ga bw h lowr bou a ur bou co u o 05 wh f W hav roo a ghr bou forula of h l crag hurc for h vrx covr robl W alo gv a xal o how h rul of h ur bou qual o / Th bou of LLf rv b o rarchr a u ar how Fgur 7 I [3] h auhor rov ha a ur bou o h aroxao rao of LLf /3/ a ca b rr or r- c for a Th ffrc bw h wo bou a h xac ur bou / Ia Hroh [5] u h la 8 roo b Av al [3] o oba h followg forula: o * 0 Furhror Ia Hroh [6] go h followg quao: q o * whr q Ia Hroh [6] ca ha wh h axu gr allr ha 9 h abov ur bou br ha ha of Av Fall 8 orgh 0 Naoal ha Uvr All rgh rrv
11 0 Naoal our Sou w uarz our a rvou rul Tabl o * 3 o * 9 o * o * 9 o * o * o * < 9 o * o * < 9 o * o * o * o * Fgur 7 Th bou of LLf 8 orgh 0 Naoal ha Uvr All rgh rrv
12 0 Naoal our Sou Tabl oaro of h rul wh rvou wor Rarchr Ma a Th rul of h bou quao Av al [3] o o * Ia Hroh [5] o o * Ia Hroh [6] o q o * q whr q Our rul Thor o o * Our rul Thor o Σ o * AKNOWLEGEMENT Th rarch wa uor ar b a gra NS99--E MY3 fro Naoal Scc oucl Tawa RO REFERENES [] Thoa H or harl E Lro Roal L Rv a lffor S Irouco o algorh Nw Yor: MIT Pr 00 [] Marc ag Vagl Th Pacho O-l vrx-covrg Thorcal our Scc [3] av Av a Tooazu Iaura A l hurc for vrx covr Orao Rarch Lr [] Fraco lbo a hra Lafor A br l hurc for vrx covr Iforao Procg Lr [5] Ia Hroh 飯田浩志 頂点被覆へのリスト減少法の解析に関する一考察 cuo ar r o 小樽商科大学ビジネス創造センタ 007 [6] Ia Hroh 飯田浩志 頂点被覆に適用されたリスト減少法の解析についての再考 cuo ar r o 小樽商科大学ビジネス創造センタ orgh 0 Naoal ha Uvr All rgh rrv
A Simple Representation of the Weighted Non-Central Chi-Square Distribution
SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch
More informationReliability Mathematics Analysis on Traction Substation Operation
WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral
More informationAmerican International Journal of Research in Science, Technology, Engineering & Mathematics
Ara raoal oral of ar S oloy r & aa Avalabl ol a //wwwar SSN Pr 38-349 SSN Ol 38-358 SSN D-O 38-369 AS a rfr r-rvw llary a o a joral bl by raoal Aoao of Sf ovao a ar AS SA A Aoao fy S r a Al ar oy rao ra
More informationAn N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair
Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug
More informationFractal diffusion retrospective problems
Iraoa ora o App Mahac croc a Copr Avac Tchoo a Scc ISSN: 47-8847-6799 wwwaccor/iamc Ora Rarch Papr Fraca o rropcv prob O Yaro Rcv 6 h Ocobr 3 Accp 4 h aar 4 Abrac: I h arc w h rropcv vr prob Th rropcv
More informationThe far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109
Th fa fl calculao: Appoa a ac oluo Pa K Novb 0h 005 B-09 Oul Novb 0h 005 Pa K Iouco Appoa oluo flco fo h gou ac oluo Cocluo Pla wav fo Ic fl: pla wav k ( ) jk H ( ) λ λ ( ) Polaao fo η 0 0 Hooal polaao
More informationGRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?
5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,
More informationOverview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).
Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h
More informationServer breakdown and repair, Multiple vacation, Closedown, Balking and Stand-by server.
OR Jor of Mhc OR-JM -N: 78-578 -N: 9-765 o 6 r No - Dc6 56-74 ororor A G M h o hroo rc rr ro rr M co oo - rr GA r Dr of Mhc ochrr Er o chrr Arc: Th oc of h r o h hor of h rr ro rr M G h o hroo rc co coo
More informationIntroduction to Laplace Transforms October 25, 2017
Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl
More informationChapter 5 Transient Analysis
hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r
More informationJ = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e
) ) Cov&o for rg h of olr&o for gog o&v r&o: - Look wv rog&g owr ou (look r&o). - F r wh o&o of fil vor. - I h CCWLHCP CWRHCP - u &l & hv oo g, h lr- fil vor r ou rgh- h orkrw for RHCP! 3) For h followg
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationCHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES
CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r
More informationFINITE GROUPS OCCURRING AS GROUPS OF INTEGER MATRICES
FINITE ROUPS OCCURRIN S ROUPS OF INTEER MTRICES - Paa Bra IISER Pu I h roc w udy rou of arc I arcular w ry ad dr h obl ordr of arc of f ordr h rou L h rou of arc wh dra ro cra rul du o Mow rard h oro of
More informationAnouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent
oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps
More informationSeries of New Information Divergences, Properties and Corresponding Series of Metric Spaces
Srs of Nw Iforao Dvrgcs, Proprs ad Corrspodg Srs of Mrc Spacs K.C.Ja, Praphull Chhabra Profssor, Dpar of Mahacs, Malavya Naoal Isu of Tchology, Japur (Rajasha), Ida Ph.d Scholar, Dpar of Mahacs, Malavya
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationThe Method of Steepest Descent for Feedforward Artificial Neural Networks
IOSR Joural o Mahac (IOSR-JM) -ISSN: 78-578, p-issn:39-765x. Volu, Iu Vr. II. (F. 4), PP 53-6.oroural.org Th Mhod o Sp Dc or Fdorard Arcal Nural Nor Muhaad Ha, Md. Jah Udd ad Md Adul Al 3 Aoca Proor, Dpar
More informationComparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek
Coparo o th Varac o Prdctor wth PPS aplg (updat o c04d6doc Ed Sta troducto W copar prdctor o a PSU a or total bad o PPS aplg Th tratgy to ollow that o Sta ad Sgr (JASA, 004 whr w xpr th prdctor a a lar
More informationELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University
ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered
More informationLet's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =
L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More informationPower Spectrum Estimation of Stochastic Stationary Signals
ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:
More informationThe Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27
Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a
More informationLM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H
H R & C C M RX700-2 Bx C LM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H PUBLCA M AY B U CRP RA UCH
More informationMECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals
MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg
More informationEngineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions
Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,
More informationCONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD
Jorl o Algbr Nbr Tory: Ac Alco Vol 5 Nbr 6 Pg 4-64 Albl ://ccc.co. DOI: ://.o.org/.864/_753 ONSTAYLI ODES OF LENGTH OVER A FINITE FIELD AITA SAHNI POONA TRAA SEHGAL r or Ac Sy c Pb Ury gr 64 I -l: 5@gl.co
More informationW I T H M A L I C E T O W ^ - R D I S T O N E AISTE) C H A R I T Y F O R A L L / SENT TO IONIA.
UB80B > R K? > V ( $ R AR 0 J ADVR RA DRA A L - R D A) A R Y R A L L / VL LLL K UY DBR 30 893 2 A - ( AL AL ; A (! -- DA R DG
More informationInfinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials
Ifii Coiu Fraio CF rraio of h oial igral fuio l fuio a Lol olyoial Coiu Fraio CF rraio a orhogoal olyoial I hi io w rall h rlaio bw ifi rurry rlaio of olyoial orroig orhogoaliy a aroria ifii oiu fraio
More informationCorrelation in tree The (ferromagnetic) Ising model
5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.
More informationChapter 5 Transmission Lines
ap 5 ao 5- aacc of ao ao l: a o cou ca cu o uppo a M av c M o qua-m o. Fo M o a H M H a M a µ M. cu a M av av ff caacc. A M av popaa o ff lcc a paal flco a paal ao ll occu. A ob follo ul. ll la: p a β
More informationHow to Make a Zia. (should you ever be inclined to do such a thing)
H Mk Z (hud yu vr b d d uh hg) h Z? Th Z r dgu rb rd Z Pub, Id rrv N Mx, U..A.. Th Z r k fr hr pry d u f h u ymb. Th pp r brh f h rg Pub mmuy. N Mx' dv g h Z u ymb, hh rgd h h Id f Z Pub m. I dg rf hr
More informationEE Control Systems LECTURE 11
Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig
More informationGauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year
Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco
More informationControl Systems (Lecture note #6)
6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs
More informationModern Topics in Solid-State Theory: Topological insulators and superconductors
Mor Topc ol-a Thor: Topolocal ulaor uprcoucor ra P. chr Ma-Plac-Iu für örprforchu, uar Uvrä uar Jauar 6 Topolocal ulaor uprcoucor. Topolocal b hor - Wha opolo? - H mol polacl) - hr ulaor IQH. Topolocal
More informationDg -Trrr hrugh Nwrk-- M qu (NM) I V. L ITERATURE RE VIEW Mqu y gr r I y hu y wrh ryr. Durg r rh r ur, qu wr u h hqurr h I ur rh, r u rg, h whr u wr r
I r Jur Egrg Rrh A Mg (IJERM) ISSN : 2349-2058, Vu-03, Iu-0 5, My 2016 Dg -Trrr hrugh Nwrk-- Mqu ( NM) A bu Rh Ah Dh, Nur Ahrh B Abu Rh, Nur Syqh B Mh Zuk, N k A A B Nk Iz, Nrr B M Sh A br A qu gry yb
More informationON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS
ACENA Vo.. 03-08 005 03 ON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS Rub A. CERUTTI RESUMEN: Cosrao os úcos Rsz coo casos artcuars úco causa
More information5 H o w t o u s e t h e h o b 1 8
P l a s r a d h i s m a n u a l f i r s. D a r C u s m r, W w u l d l i k y u bb a si n p r hf r m a n cf r m y u r p r d u c h a h a s b n m a n u f a c u r d m d r n f a c i l iu n id s r s r i c q u
More informationReactive Fluid Dynamics 1 G-COE 科目 複雑システムのデザイン体系 第 1 回 植田利久 慶應義塾大学大学院理工学研究科開放環境科学専攻 2009 年 4 月 14 日. Keio University
Reactive Fluid Dynamics 1 G-COE 科目 複雑システムのデザイン体系 第 1 回 植田利久 慶應義塾大学大学院理工学研究科開放環境科学専攻 2009 年 4 月 14 日 Reactive Fluid Dynamics 2 1 目的 本 G-COE で対象とする大規模複雑力学系システムを取り扱うにあたって, 非線形力学の基本的な知識と応用展開力は不可欠である. そこで,
More informationG. Ayyappan 1, J. Udayageetha 2
rol Jourl o S ovv hl rh JS olu 5 u 7 8-7 SS 47-7 r & SS 47-4 Ol O: hp://oor/4/47-45 wwwrjourlor Tr Soluo o / / rl uu y wh rory rv o roull o roull Fk v rrvl rkow ly rpr Sup lk Ayypp J Uyh pr o h ohrry Er
More informationDay 5. A Gem of Combinatorics 組合わせ論の宝石. Proof of Dilworth s theorem Some Young diagram combinatorics ヤング図形の組合せ論
Day 5 A Gem of Combinatorics 組合わせ論の宝石 Proof of Dilworth s theorem Some Young diagram combinatorics ヤング図形の組合せ論 Recall the last lecture and try the homework solution 復習と宿題確認 Partially Ordered Set (poset)
More informationAnalytic and Numeric Solution of Nonlinear Partial Differential Equations of Fractional Order
Aalyc a rc Solo o olar Paral Dral qaos o racoal Orr A ADO KOJOK & S A AAD Absrac h sc a qss solo o h achy robl ar scss a ro a aach sac o lck ho a Pcar ho o h rors c a solo o ossss oror so rors cocr h sably
More informationBayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP
By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h
More informationMulti-fluid magnetohydrodynamics in the solar atmosphere
Mul-flud magohydrodyams h solar amoshr Tmuraz Zaqarashvl თეიმურაზ ზაქარაშვილი Sa Rsarh Isu of Ausra Aadmy of Ss Graz Ausra ISSI-orksho Parally ozd lasmas asrohyss 6 Jauary- Fbruary 04 ISSI-orksho Parally
More informationEstimating the Variance in a Simulation Study of Balanced Two Stage Predictors of Realized Random Cluster Means Ed Stanek
Etatg th Varac a Sulato Study of Balacd Two Stag Prdctor of Ralzd Rado Clutr Ma Ed Stak Itroducto W dcrb a pla to tat th varac copot a ulato tudy N ( µ µ W df th varac of th clutr paratr a ug th N ulatd
More informationMINIMUM ENERGY CONTROL OF FRACTIONAL POSITIVE ELECTRICAL CIRCUITS. Tadeusz Kaczorek
MINIMUM ENEGY CONO OF FACIONA POSIIVE EECICA CICUIS ausz Kaczor alyso Uvrsy o chology Faculy o Elcrcal Egrg jsa 45D 5-5 alyso -al: aczor@sppwupl ASAC Mu rgy corol probl or h racoal posv lcrcal crcus s
More informationThe Variance-Covariance Matrix
Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o
More informationCherrywood House, Cherrywood Road, Loughlinstown, Dublin 18
86 rro Sq uh, Dub 2, D02 YE10, Ir. 01-676 2711 gvob. FOR SALE BY PRIVATE TREATY rr Hous, rr, ughso, Dub 18 > > F pr o-sor, pr o-sor pro rsc xg o pprox 374 sq../4,026 sq. f. > > Fbuous grs h ovr s r of
More informationFOR MORE PAPERS LOGON TO
IT430 - E-Commerce Quesion No: 1 ( Marks: 1 )- Please choose one MAC sand for M d a A ss Conro a M d a A ss Consor M r of As an Co n on of s Quesion No: 2 ( Marks: 1 )- Please choose one C oos orr HTML
More informationInternational Journal of Pure and Applied Sciences and Technology
I. J. Pur Al. S. Thol.. 4-6 Iraoal Joural o Pur ad Ald S ad Tholog ISSN 9-67 Avalabl ol a www.joaaa. Rarh Par Blaral Lala-Mll Igral Traorm ad Alao S.M. Kharar * R.M. P ad J. N. Saluk 3 Darm o Egrg Mahma
More information8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system
8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.
More informationChap 2: Reliability and Availability Models
Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h
More informationMathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem
Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao
More informationRoot behavior in fall and spring planted roses...
Rerospecive Theses and Disseraions Iowa Sae Universiy Capsones, Theses and Disseraions 1-1-1949 Roo behavior in fall and spring planed roses... Griffih J. Buck Iowa Sae College Follow his and addiional
More information2015 年度研究活動報告理工学術院 先進理工 応用物理学科小澤徹 Department of Applied Physics, Waseda University
2015 年度研究活動報告理工学術院 先進理工 応用物理学科小澤徹 Tohru OZAWA Department of Applied Physics, Waseda University 出版された論文 R. Carles, T. Ozawa Finite time extinction for nonlinear Schrödinger equation in 1D and 2D, Commun.
More information828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t
2Â F b. Th h ph rd l nd r. l X. TH H PH RD L ND R. L X. F r, Br n, nd t h. B th ttr h ph rd. n th l f p t r l l nd, t t d t, n n t n, nt r rl r th n th n r l t f th f th th r l, nd d r b t t f nn r r pr
More informationP a g e 3 6 of R e p o r t P B 4 / 0 9
P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J
More informationChapter 8 Theories of Systems
~~ 7 Char Thor of Sm - Lala Tranform Solon of Lnar Sm Lnar Sm F : Conr n a n- n- a n- n- a a f L n n- ' ' ' n n n a a a a f Eg - an b ranform no ' ' b an b Lala ranform Sol Lf ]F-f 7 C 7 C C C ] a L a
More informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More information4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd
n r t d n 20 20 0 : 0 T P bl D n, l d t z d http:.h th tr t. r pd l 4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n,
More information,. *â â > V>V. â ND * 828.
BL D,. *â â > V>V Z V L. XX. J N R â J N, 828. LL BL D, D NB R H â ND T. D LL, TR ND, L ND N. * 828. n r t d n 20 2 2 0 : 0 T http: hdl.h ndl.n t 202 dp. 0 02802 68 Th N : l nd r.. N > R, L X. Fn r f,
More informationInstructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems
Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi
More informationEQUATION SHEETS FOR ELEC
QUTON SHTS FO C 47 Fbuay 7 QUTON SHTS FO C 47 Fbuay 7 hs hυ h ω ( J ) h.4 ω υ ( µ ) ( ) h h k π υ ε ( / s ) G Os (Us > x < a ) Sll s aw s s s Shal z z Shal buay (, aus ) z y y z z z Shal ls ( s sua, s
More informationOption Pricing in a Fractional Brownian Motion Environment
Opo Pcg a acoal owa Moo vom Cpa Ncula Acamy o coomc u ucha, omaa mal: cpc@yahoo.com h a: buay, Abac h pupo o h pap o oba a acoal lack-chol omula o h pc o a opo o vy [, ], a acoal lack-chol quao a a k-ual
More information3.4 Properties of the Stress Tensor
cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato
More informationConventional Hot-Wire Anemometer
Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon
More informationThe World s Most Effective Midway Traffic Builders!
Wr v r Br! 1 5 G 2 V 400 V 400 F U V 400 U V JU 10-19 rk Frr 1600 U - 1600 (r r 2000) G, W, r r Fr 5:00p- v r B J & J U r p 1600 rv rb, r r bv p pr pr rqr U W, G, F W U, W, r & Fr: 5p- : & 1p- V 400 F
More informationColby College Catalogue
Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1871 Colby College Catalogue 1871-1872 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs
More informationHow to construct international inputoutput
How to construct international inputoutput tables (with the smallest effort) Satoshi Inomata Institute of Developing Economies JETRO OVERVIEW (1) Basic picture of an international input-output table (IIOT)
More informationx, x, e are not periodic. Properties of periodic function: 1. For any integer n,
Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo
More informationOverview. Introduction Building Classifiers (2) Introduction Building Classifiers. Introduction. Introduction to Pattern Recognition and Data Mining
Ovrv Iroduco o ar Rcogo ad Daa Mg Lcur 4: Lar Dcra Fuco Irucor: Dr. Gova Dpar of Copur Egrg aa Clara Uvry Iroduco Approach o uldg clafr Lar dcra fuco: dfo ad urfac Lar paral ca rcpro crra Ohr hod Lar Dcra
More informationCalculus Revision A2 Level
alculus Rvision A Lvl Tabl of drivativs a n sin cos tan d an sc n cos sin Fro AS * NB sc cos sc cos hain rul othrwis known as th function of a function or coposit rul. d d Eapl (i) (ii) Obtain th drivativ
More informationFactors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l
Fr Su p T rl T xl r rr, bg r ll Wh u rl p l Fllg ll r lkg plr plr rl r kg: 1 k r r u v P 2 u l r P 3 ) r rl k 4 k rprl 5 6 k prbl lvg hkg rl 7 lxbl F 8 l S v 9 p rh L 0 1 k r T h r S pbl r u rl bv p p
More informationCouncil Forms Bloc For Crnrus Mediation
G RY Of ; O Of 5 ; B k 7 f - L F 7 96 55 Q * x k k O F B F R R-- Bk j f K k f «* v k f F B - k f O k f J "Oz x f ff - q k R () ff kk f k k O f 5 f - f " v v ' z f k " v " v v z 95 k " Kfv k 963 ff ff f
More informationHomework: Introduction to Motion
Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?
More informationMa/CS 6a Class 15: Flows and Bipartite Graphs
//206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d
More informationCourse 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source:
Cour 0 Shadg Cour 0 Shadg. Bac Coct: Lght Sourc: adac: th lght rg radatd from a ut ara of lght ourc or urfac a ut old agl. Sold agl: $ # r f lght ourc a ot ourc th ut ara omttd abov dfto. llumato: lght
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Las squars ad moo uo Vascoclos ECE Dparm UCSD Pla for oda oda w wll dscuss moo smao hs s rsg wo was moo s vr usful as a cu for rcogo sgmao comprsso c. s a gra ampl of las squars problm w wll also wrap
More informationDESIGN OF OBSERVER-BASED CONTROLLER FOR LINEAR NEUTRAL SYSTEMS. M. N. Alpaslan Parlakçı
EIGN OF OBEE-BE ONOLLE FO LINE NEUL YEM M. N. lpala arlakçı parm of ompur cc abul Blg Uvry olapr 3444 abul urky -mal: aparlakc@blg.u.r brac: I papr problm of obrvr-ba a-fback corollr g for lar ural ym
More informationTwo-Dimensional Quantum Harmonic Oscillator
D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr
More information1973 AP Calculus BC: Section I
97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f
More informationFL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.
B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l
More informationLECTURE 6 TRANSFORMATION OF RANDOM VARIABLES
LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt
More informationc. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f
Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the
More informationThe MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p
Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf
More informationCompetitive Facility Location Problem with Demands Depending on the Facilities
Aa Pacc Maageme Revew 4) 009) 5-5 Compeve Facl Locao Problem wh Demad Depedg o he Facle Shogo Shode a* Kuag-Yh Yeh b Hao-Chg Ha c a Facul of Bue Admrao Kobe Gau Uver Japa bc Urba Plag Deparme Naoal Cheg
More informationMicroscopic Flow Characteristics Time Headway - Distribution
CE57: Traffic Flow Thory Spring 20 Wk 2 Modling Hadway Disribuion Microscopic Flow Characrisics Tim Hadway - Disribuion Tim Hadway Dfiniion Tim Hadway vrsus Gap Ahmd Abdl-Rahim Civil Enginring Dparmn,
More informationWireless & Hybrid Fire Solutions
ic b 8 c b u i N5 b 4o 25 ii p f i b p r p ri u o iv p i o c v p c i b A i r v Hri F N R L L T L RK N R L L rr F F r P o F i c b T F c c A vri r of op oc F r P, u icoc b ric, i fxib r i i ribi c c A K
More information46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th
n r t d n 20 0 : T P bl D n, l d t z d http:.h th tr t. r pd l 46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l
More information一般化川渡り問題について. 伊藤大雄 ( 京都大学 ) Joint work with Stefan Langerman (Univ. Libre de Bruxelles) 吉田悠一 ( 京都大学 ) 組合せゲーム パズルミニ研究集会
一般化川渡り問題について 伊藤大雄 ( 京都大学 ) Joint work with Stefan Langerman (Univ. Libre de Bruxelles) 吉田悠一 ( 京都大学 ) 12.3.8 組合せゲーム パズルミニ研究集会 1 3 人の嫉妬深い男とその妹の問題 [Alcuin of York, 青年達を鍛えるための諸問題 より ] 3 人の男がそれぞれ一人ずつ未婚の妹を連れて川にさしかかった
More informationCopyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.
Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin
More information4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th
n r t d n 20 2 :24 T P bl D n, l d t z d http:.h th tr t. r pd l 4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n
More informationNuclear Chemistry -- ANSWERS
Hoor Chstry Mr. Motro 5-6 Probl St Nuclar Chstry -- ANSWERS Clarly wrt aswrs o sparat shts. Show all work ad uts.. Wrt all th uclar quatos or th radoactv dcay srs o Urau-38 all th way to Lad-6. Th dcay
More information10.5 Linear Viscoelasticity and the Laplace Transform
Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm
More informationAkpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions
IOSR Joural o Elcrcal ad Elcrocs Egrg IOSR-JEEE -ISSN: 78-676,p-ISSN: 3-333, Volu, Issu 5 Vr. III Sp - Oc 6, PP 9-96 www.osrourals.org kpa s lgorh o Dr Sa Traso Marx ad Soluo o Dral Euaos wh Mxd Ial ad
More information