Monte Carlo Tree Search in Hex

Size: px
Start display at page:

Download "Monte Carlo Tree Search in Hex"

Transcription

1 IEEE Trns. on Comput l Intl. n AI n Gms (spl ssu: Mont Crlo Tnqus n Computr Go) vol no D 00 - Mont Crlo Tr Sr n Hx Bror Arnson, Ryn B. Hywr, Plp Hnrson Astrt Hx, t lss or m nvnt y Pt Hn n n npnntly y Jon Ns n, s n omn o rtl ntlln rsr sn Clu Snnon s smnl wor n t 0s. Untl t Mont Crlo Go rvoluton w yrs o, t st omputr Hx plyrs us nowl-ntnsv lp-t sr. Sn tt tm, stron Mont Crlo Hx plyrs v ppr tt r on pr wt t st lp-t Hx plyrs. In ts ppr w sr MoHx, t Mont Crlo Tr Sr Hx plyr tt won ol n t 00 Computr Olymp. Our mn ontrutons to Mont Crlo Tr Sr nlu usn nror ll nlyss n onnton strty omputton to prun t sr tr. In prtulr, w run our rnom m smultons not on t tul m poston, ut on ru quvlnt or. I. INTRODUCTION Mont Crlo Tr Sr (MCTS) s n xtn nw vlopmnt n t l o utomt m plyrs, ttnn rt suss n vrty o ms, most notly Go [0], [], [], []. Hx s t lss or m nvnt y Pt Hn n n npnntly y Jon Ns n [], []. Hx s n omn o rtl ntlln rsr sn Clu Snnon s smnl wor n t 0s []. L Go, Hx s lr rnn tor tt lmts utomt plyrs to sllow or sltv sr. Unl Go prorms, Hx prorms v rsonly stron vluton untons, n tror strtorwr lp-t tnqus v n sussul [], [], []. W n xprmntn wt t posslty o n tv utomt Hx plyr s on t MCTS rmwor n rly 00. T rsultn plyr, nm MoHx, won slvr n ol rsptvly n t 00 n 00 Hx Computr Olymps [], []. In t lttr tournmnt MoHx ws unt. In ts ppr w sr t rmwor o MoHx, wt prtulr mpss on ts lortm ontrutons w xplot mtmtl proprts o Hx: MoHx uss provn nowl n t MCTS tr to prun nror lrn, n MoHx omputs Mont Crlo smultons rom ru quvlnt or, rtr tn t tul m or. In II w rvw t ruls o Hx, n lortms or nn nror lls n onnton strts. In III w suss prvous utomt Hx plyrs n rvw t suss o lp-t s prorms. In IV w sr t s rmwor o MoHx. In V w sr our nnmnts o MoHx, splly Hx-sp tnqus or prunn lrn n t MCTS tr, n or onstrutn ru ut quvlnt ors w mprov n lrt MoHx s m smultons. In VI w nlyz xprmntl t w msurs t tvnss o our tnqus n t sln o MoHx s strnt wt rtr omputn powr. In VII w nlyz MoHx s prormn nst otr utomt Hx plyrs. In VIII w suss t potntl pplton o ts tnqus to rlt ms, su s Y n Hvnn. In IX w rvw MoHx s urrnt lmttons, n vnus or utur rsr. A. Ruls o Hx II. RULES AND ALGORITHMS OF HEX Hx s smpl ruls: Bl n Wt ltrnt turns, n on turn plyr pls snl ston o tr olour on ny unoup ll. T wnnr s t plyr wo orms n o tr stons onntn tr two opposn or ss. S Fur. F.. An mpty Hx or n m won y Wt. It s nvr svntous or plyrs to v n xtr ston o tr olour on t or, n Hx n nvr n n rw, so y Ns s strty-stln rumnt Hx s rstplyr wn on ll n n ors []. T rst-plyr vnt s onsrl n wn unrstrt usully ls to n sy wn, so Hx s otn ply wt t swp rul: t rst plyr ms Bl s rst mov, n t son plyr tn ooss wtr to ply s Bl or Wt. Wt ms t nxt mov, n t plyrs ltrnt turns trtr. Ts vrton s son-plyr wn, ut n prt prous losr ms tn wtout t swp rul. L Go, Hx n ply on ny n n or. T Computr Olymp Hx tournmnts us ors. Humns typlly ply on or szs rnn rom to [], [], wt nnrs otn strtn out on smllr ors. Automt Hx solvrs v solv ll opnn movs on ll or szs up to n nlun []. B. Inror Cll Anlyss Tr r two mn tnqus n Hx nror ll nlyss: lln n mov prunn. Flln s t pross o n to Hx poston st o stons tt s urnt not to ltr t poston s mnmx

2 A vrtul onnton (VC) s son-plyr strty or onntn two nponts, n vrtul sm onnton (SC) s rst-plyr strty or onntn two nponts. A wnnn onnton s strty wos two nponts r opposn or ss. T rrr o onnton strty s t (mnml) st o mpty lls rqur to rry out ts strty. S Fur. F.. Lol lln pttrns. Top tr pttrns nty lls, n n ll n wt stons o tr plyr. Bottom tr pttrns nty Bl-ptur rons, n n ll n wt Bl stons. + vlu. Tr r two mn tors o lln: lls n ptur rons. A ll s ll tt s provly uslss or ot plyrs. A ptur ron s st o lls on w on plyr s son-plyr strty tt nts ny nt tr opponnt mt n rom plyn n t ron. MoHx uss nntn lol pttrns or ntyn lls n ptur rons; som r sown n Fur. MoHx lso uss rp-tort lortms n or ompostons to n lrr lsss o lln onurtons []. Mov prunn s t pross o omttn rom onsrton ll mov n t urrnt m poston. Comntorl m tory llows rvrsl movs to ypss, n omnt movs to prun s lon s som omntn mov s onsr []. Ts tory orms t ss or prunn vrous orms o Hx ll, nlun vulnrl, ptur-rvrsl, lln-omnt, n nu-pt omnt lls [], [], [], [], []. As wt lln, MoHx uss (out 0) lol pttrns to n su lls. S Fur. F.. A Bl VC n Bl SC. Crrrs r s, nponts r ott, n t rst mov o t SC strty s. I H-sr ns wnnn VC or tr plyr, or wnnn SC or t plyr to mov, tn ts plyr n wn y ollown t sovr onnton strty. I H-sr ns wnnn SC or t plyr wo ust mov, tn t plyr to mov n only onsr movs ns t rrr o ts SC, sn ll otr movs r provly losn; tt s, ll movs outs t wnnn SC s rrr lv t opponnt wnnn SC on tr nxt turn. T mustply or t plyr to mov s t ntrston o tr opponnt s wnnn SC rrrs. By t sm rsonn, ll movs outs t mustply r provly losn. S Fur. F.. Two Wt wnnn SC rrrs n t orrsponn mustply or Bl. F.. Lol nror ll pttrns. Empty lls n prun rom onsrton y Bl s on tr rvrsl/omnt rlton to t orrsponn ott lls. C. Computn Connton Strts H-sr s n lortm tt ns ll-to-ll onnton strts n vn Hx poston [], []. Strtn wt t s s o trvlly onnt nt ll prs, H- sr nutvly uls lrr onntons y omnn smllr ons n srs n prlll untl no urtr onnton strts r oun. H-sr s nown to nomplt; n prtulr, t msss som rltvly smpl onntons wt ovrlppn sustrts tt umns n sly tt. Tus mnor H-sr xtnsons v n vlop [0], []. H-sr pruns mny losn movs n prous prt nm ply, ut s tm-ostly: nt mplmnttons n omput t onnton strts or out postons pr son on tournmnt-sz ors. III. ALPHA-BETA HEX PLAYERS Totr wt E.F. Moor, Clu Snnon vlop t rst utomt Hx plyr n t 0s, n ltron rut ntwor w st postv rs or on plyr s stons, ntv rs or t otr plyr s stons, n tn ply t rtn sl pont. T omputr ply stron opnn movs ut somtms rr n ttl stutons []. Snnon lso vlop omputr to ply Br C, now nown s Br-t, m smlr to Hx. Ts rut

3 ntwor st t rsstn o on plyr s stons to zro, t rsstn o t otr plyr s stons to nnty, n tn ply t ll wt rtst volt rop []. In 000 Hxy won t rst Computr Olymp Hx omptton []. Hxy s vluton unton uss n umntton o Snnon s Br C rut n w xtr wrs r w orrspon to onntons oun y H-sr []. Hxy uss ts vluton unton n strtorwr lp-t sr. In 00, 00, n 00 Sx won t nxt tr Computr Olymp Hx ompttons [], [], []. Sx snntly rns t Hxy rmwor y mprovn H-sr ny v urst lmts, rstrtn t lp-t rnn tor, tunn t vluton unton, n usn smll mount o nror ll nlyss []. Sx uss trunt -ply lp-t sr. Sx s opn sour n s n ply y mny umns. It s nrlly onsr to vry stron, ltou not qut xprt, plyr on or szs up to, wt nr-prt ply on or szs up to []. In 00 Wolv won t t Computr Olymp Hx omptton, tn t prvous mpon our ms to zro []. Wolv ws vlop n onunton wt MoHx n srs t sm os. Wolv mprovs on Sx s sn y moyn t vluton unton, mprovn H- sr ny, usn mu mor nror ll nlyss, usn n opnn oo nrt y sl-ply, n usn solvr n prlll wt t plyr. L Sx, t 00 vrson uss -ply sr. T 00 vrson o Wolv srs to -ply wn tm llows. In summry, omputr plyrs usn lp-t sr v provn to stron ompttors nst sll umn plyrs, n untl 00 omnt omputr Hx ompttons. IV. BASIC MOHEX FRAMEWORK A. Mont Crlo Tr Sr Mont Crlo Tr Sr (MCTS) s st-rst sr lortm tt s u y t outom o rnom m smultons. T lortm s ompos o tr s pss: ) tr trvrsl rom t root to som l no, ) rnom m smulton rom t l no s orrsponn m poston, n ) tr upt usn normton rom t smult m. T s lortm s nytm, rptn ts stps untl no mor tm rmns. Atr t tr trvrsl ps, t sr tr s xpn y n t lrn o t slt l no. Wn MCTS trmnts, t l wt t lrst sutr (.. w prou t most smultons) s slt s t st mov. MoHx s MCTS s ult on t os o Fuo, t Go prorm vlop y Mrtn Müllr t l. t t Unvrsty o Alrt [0]. B. Tr Trvrsl n Upt MoHx uss t UCT rmwor omn wt t llmovs-s-rst (AMAF) urst to slt t st l urn tr trvrsl [], []. L Fuo, MoHx plys stronst wn t uss n xplorton onstnt o zro, tvly turnn o UCT xplorton n rlyn solly on t AMAF urst to n stron nt movs. T tr upt ps upts t wn/loss sttsts or mov n t smult m. Upts our t no lon t pt rom t l to t root, try nlunn l no slton n utur tr trvrsls. C. Rnom Gm Smulton Plyn Hx untl t or s ompltly ll rsults n t sm wn/loss outom s stoppn on on plyr s wnnn n, so t rnom m smulton n not or m trmnton tr mov. Hn Hx m smultons n ntly mplmnt: ll mpty lls to n rry, sul tm rnomly, n ply t rmnn movs n orr. A onsqun o ts prtulr mplmntton s tt ll mov s AMAF sttsts r upt tr m smulton. F.. Br rollout pttrn: Wt plys on mpty ll, Bl plys t otr. As wt Go, t s nl to pply som nowl urn smult ms []. MoHx uss snl pttrn urn rnom m smulton: plyr pros ny opponnt r, tn t opponnt lwys rpls so s to mntn t onnton. S Fur. I multpl rs r pro smultnously, tn on su r s rnomly slt n tn mntn. F.. -- VC rollout pttrn: Wt plys s ll, Bl mntns t onnton y plyn t orrsponn ott ll. Yopt, notr MCTS Hx prorm, uss tonl pttrns s on notr ommonly ourrn VC []. S Fur. Howvr, n our tsts MoHx sow no strnt n rom su pttrns. A. Tr Knowl V. MOHEX ENHANCEMENTS L mny otr MCTS plyrs, MoHx uss nowlntnsv lortms n mportnt prts o t tr, s wll s ls to nt solv stts [].

4 Usn x nowl trsol, ny no s vst otn nou urn tr trvrsl, tn ot nror ll nlyss n t H-sr lortm r run on tt poston. Tr r two possl outoms: tr lln or H-sr solvs t poston, or t poston vlu s stll unnown. In t ormr s, ll l sutrs r lt, n t tr no s mr su tt ny tr trvrsl tt nountrs ts no omts t rnom m smulton, n smply upts ts nstor nos usn t orrt outom. In t lttr s, sutrs orrsponn to movs tt n lmnt v nror ll nlyss or mustply rsults r prun rom t tr. Furtrmor, or vry tr no tt surpsss t nowl trsol, ts lln omputton s stor prmnntly n ppl to vry tr trvrsl. Sn lln s omput nw or tr no, tr n srmnt twn t lln o no n ts l, so t snnt no s lln ts prn, n ny pror lln nowl s nor. w lln mov s ply. To vo ts, unprun l s sutr s lso lt xptn tr roots n ll rlvnt sttsts (.. UCT n AMAF t). Not tt ny susqunt tr xpnsons low t prnt no wll not onlt wt t lln. S Fur. T nowl trsol s typlly smll (.. t 00 Olymp vrson trsol 0), so t sz o ny trunt sutr s smll, n t susqunt loss o normton s pprntly mor tn ompnst y t n n prormn. ) No rs nowl trsol; prorm nror ll nlyss n H-sr omputtons. ) Prun lrn tt r nror or outs o mustply. F.. A Hx poston n ts lln ru poston. ) Rmov sutrs o ll rmnn lrn. F.. Applyn nowl to t Mont-Crlo tr. Ts lln prous two nts. Frstly, t rnom m smultons r sortr (sn t numr o mpty lls s rs), n tus llows mor m smultons pr son. Sonly, t ury o t m smultons soul mprov, sn ny rsolv rons o t or r urnt to v t orrt outom. Altou l no orrsponn to lln mov s lt, lln mov mt stll vll n som l s sutr, possly yln n lll m squn n For nstn, onsr t top Hx poston n Fur. I MoHx vluts ts poston or Bl wtout nowl, t onsstntly ts sor o -% or 0s srs. By pplyn nowl n t Mont Crlo tr, lln prous t ottom Hx poston n Fur, n t vluton sors plummt to % or 0s srs. Ts vour lso ols or otr MCTS Hx plyrs: ts poston ws tn rom n olymp m twn Yopt n Wolv, wr Yopt s vluton sor surpss 0% n t nm spt ts losn poston. B. Lo-Fr Prlllzton MoHx uss t Fuo os, n so nts rom Fuo s lo-r prlll MCTS [0]. MoHx s nowl omputtons r nl wtn ts lo-r rmwor. Tus t s possl or rnt trs to prorm uplt nowl omputtons onurrntly, ut ts s xtrmly rr n prt.

5 C. Prlll Solvr MoHx runs Hx solvr onurrntly wt t sr. Ts prous prt ply wnvr t m poston n solv quly. Ts solvr uss nror ll nlyss n H-sr n t sm wy s MoHx: to nty stt vlus, n prun nror movs rom onsrton. T solvr s s on pt-rst proo numr (DFPN) sr, n so lso rls on ts nowl omputtons to rstrt ts rnn tor n u t to t stronst movs [], [0]. It lso uss mov orrn urst to tmporrly prun t wr movs o no n t DFPN sr tr, rully rvln tm s tr sln movs r provn to losn. Ts tnqu rus t omntorl xploson o lr rnn tors, n lso prvnts t wnnn plyr rom spnn tm xplorn (urstlly) wr movs. Our solvr n solv ll opnns n rouly 0 ours. It s lso solv ovr l o t opnns []. D. Tm Mnmnt Ovr tousns o ms twn stron plyrs (.. ny o MoHx, Wolv, Sx), t vr m lnt s out 0 movs. Wtn on-mnut sr, MoHx s solvr usully omputs t m s vlu y mov, n lmost lwys y mov. Ts ouns t numr o movs MoHx ns to nrt n m. Hx tournmnts llow 0 mnuts pr plyr, so MoHx n sly llot on mnut pr mov. In t 00 Computr Olymp, MoHx llott sons pr mov. VI. EXPERIMENTAL RESULTS Bus o t swp rul, n utomt Hx plyr ns to l to rspon omptntly to vry opnn mov t opponnt mt slt. Tus our tstn trts ovr ll opnns wt t swp rul o, wt prorm plyn on s Bl n on s Wt or vry opnn. Tus on roun onssts o = ms. In orr to ru t stnr rror to smll prnt, w typlly run svrl rouns. Wl ts tstn ormt s lpul n ntyn wnsss n our lortm s prormn (.. opnns wr w prorm poorly s ot Bl n Wt), t snntly mpns ny strnt ns otn, s polrz opnns (.. opnns sly won y Bl or Wt) r ply tw, n ssntlly urnt t lst som wns or t wr plyr. Tus t Elo ns rport n our xprmnts unrrprsnt t xpt tournmnt ply Elo mprovmnt. A. Sln MCTS s prlllzl nytm lortm, so t sln o ts prormn wt rspt to tm n numr o trs s mportnt. As wt mny otr MCTS prorms, MoHx s strnt sls lortmlly vrsus tm, wt ouln o t m smultons proun rouly n tonl Elo o strnt: s/mov MoHx ts s/mov MoHx.% o t tm. S Fur 0. Prnt wns Numr trs / tm multplr snl tr lo-r lo F. 0. Prormn o lo, lo-r, n tm-sl snl tr MoHx nst snl tr s/mov MoHx. As wt Fuo, t lo-r vrson o multtr MoHx sls r ttr tn t lo ltrntv. In, t n r s vn mor rmt tn tt n Go sln o t lo vrson s wors wt two trs, n prormn tully rs wt only our trs prsumly us t m smultons n Hx r so mu str tn n Go, n t trs spn most o tr tm n t tr. S Fur 0. B. Hurst Tnqus Bot t r pttrn n AMAF urst v mor strnt ns or MoHx. T r pttrn prous 0 Elo strnt n nst nv UCT mplmntton (wt n optmz xplorton onstnt o 0.), n ts mprov vrson s surpss y notr Elo y n t AMAF urst (n turnn o UCT xplorton). Bs on t sln normton ov, ts totl strnt n s rouly quvlnt to 0-ol nrs n omputn tm. S Fur. Inrmntlly A Ftur Wn % Elo n Br pttrn.% ±.% 0 AMAF urst.% ±.% F.. T r pttrn n AMAF urst mprov plyn strnt y Elo. W tst mny nror ll nlyss pttrns s m smulton pttrns. Unortuntly, n ll ss ts pttrns v MoHx no strnt n. Ts provs vn tt provly orrt normton n m smultons n wn MCTS plyrs. C. Tr Knowl An tr nowl to MoHx s rouly quvlnt to ouln t numr o m smultons. T optml nowl trsol sms to 00 or t snl tr vrson, n to rs proportonlly wt t numr o

6 t nvrtlss w los ms, tr o w w rly xmn r. S Fur. 0 Prnt wns Knowl trsol multpl y numr o trs tr tr tr tr F.. Tr s/mov MoHx wt nowl nst -ply Wolv. A nowl trsol o zro mns tt no nowl s omput. trs. A vry low nowl trsol n worsn prormn, u to t orrsponn rs n t numr o rollouts. S Fur. D. Opnn Boo Prnt wns no oo 0 oo 0 oo 0 oo MoHx wt * ^(x-) Smultons / Mov F.. MoHx wt oos o nrsn sz nst 00 / mov MoHx wt no oo. MoHx s opnn ply n nonsstnt, prps us tr s so lttl xstn strutur to u t rnom m smultons. W r nvsttn t onstruton o n opnn oo usn Ln s mto []. Our ntl rsults r promsn, wt n opnn oo or Hx tt ws onstrut n y proun ns o Elo, w s wort mor tn ouln o smultons. As t oo sz nrss, t strnt ns row lortmlly. S Fur. VII. TOURNAMENT PERFORMANCE As mnton rlr, MoHx won ol n t 00 Computr Olymp. Its opponnts wr Yopt, notr MCTSs plyr, n t prvous lp-t s mpons Wolv n Sx. S III. Altou MoHx ws unt, F.. MoHx 00 Computr Olymp ms. From top to ottom, opponnts r Wolv, Sx, n Yopt. MoHx s Wt n ll ms. Anst Wolv, MoHx s vluton ws los to 0% trouout t m, untl ts prlll solvr nt tt t m ws won. Wolv s mov loos w sms prrl to ut Wolv lry lost t m t tt pont. Anst Sx, t m s prorsson s surprsn, sn MoHx s opnn ply s w n Sx vlops stron wll o nlun wtn movs. Nvrtlss, MoHx mns to ply tvly, wt n splly rllnt mov. MoHx s prlll solvr nrts movs 0 n yon. Post-m nlyss rvl t m ws los: MoHx lunr on mov n Sx lunr on mov. Anst Yopt, t m s strtorwr, wt prlll

7 r struturs n mny pros o su onntons. Postm nlyss nts tt Yopt ply wnnn movs n, ut tt mov s lunr: loss wl wns. MoHx mntns ts wnnn poston rom ts pont on. S t Olymp rport or urtr ommntry []. A. Exprmntl Tournmnts Bus Olymp rsults r s on vry smll smpl sz, w lso rn our own tournmnts twn MoHx n t two prvous mpons, Sx n Wolv. Ts tournmnts omtt opnn oos n prlll solvrs, so tt t rsults msur only t rltv strnt o plyr s sr nn. W not run tsts nst Yopt sn ts prorm s not pullly vll. T rsults r summrz n Fur. Bslly, MoHx omnts Sx n s vnly mt wt Wolv. F.. Opponnt MoHx Wn % Sx. ±. Wolv. ±. MoHx: prormn nst Sx n Wolv. VIII. APPLICATION TO OTHER GAMES T pplton o tr nowl to MCTS, n prtulr t us o lln, n nrlz to otr lssl or ms. Most o Hx s nror ll nlyss ppls to Y (wt only mnor motons rltn to t t tt or ss r not own y plyrs n Y), n so MCTS Y plyr oul lws us lln n nror ll nowl n ts Mont Crlo tr. Flln n nror ll prunn n lso omput or Hvnn, ut t xstn o rns s wnnn onton (nst o ust onntn pts, su s rs n ors) ms ts pross r lss strtorwr. Our roup s prorm som ntl rsr on ts top, ut no mplmntton o ts s s yt n prorm. Du to t rltv rrty o su pttrns n Hvnn, w xpt ts nowl to yl only mnor n, ltou t my mor usul n trms o mprovn plyr s prlll solvr. For ms l Go wr su tortl prunn s xtrmly ult n/or rr, prps urst lln su s prvntn smult ms rom plyn n t trrtory o lv roups n s rons oul prov usul n mprovn ury n spn up smult ms. IX. LIMITATIONS AND FUTURE WORK Dspt MoHx s rnt suss, tr r stll mny spts tt n mprov. MoHx os not ully xplot t onnton strts t omputs. Altou H-sr ns onnton strts, MoHx uss ts normton only or prunn n nm ply. In prtulr, smult ms o not us nown onnton proprts. As xpt, t nr-rnom ms usully o not mntn mportnt onntons, splly wn t rrr s lr. W v tst mny lortms tt norport onnton strts nto t smultons, nlun t ollown two: urstlly slt onntons to mntn urn t smulton; t t root no, llow t o o mntnn som sust o vn lst o onnton strts. Unortuntly, ll o ts tnqus rtly worsn prormn. T st vrton to t nvolvs usn ommon rsponss n t Mont Crlo tr to u t rsponss n t smult m; nvsttons r stll onon. Gvn t strnt o our prlll solvr, stronr ntrton o t solvr n MCTS oul prou vn rtr nts. Currntly t solvr nts only wtr t root poston s n solv; t solvr oul nst norm MoHx o ny tr nos tt t s solv. Furtrmor, t mt srl or t sr tr to nt w movs t urrntly prrs, try nourn t solvr to xplor t most prtnnt lns. Otr posslts nlu usn t AMAF urst to nlun t rnom m smultons, nsurn tt movs prv to stron r ply rly n t smulton. Also, urst ntlzton o movs n t Mont Crlo tr my nsur tt stron movs r lwys xplor or spup t UCT onvrn, ltou su mtos v not yt n sussul n Mont Crlo Hx. X. CONCLUSION W v ppl Mont Crlo Tr Sr tnqus to prou n utomt Hx plyr tt s on pr wt t st plyrs prou v t lssl lp-t ppro. T potntl or urtr mprovmnt rmns, splly n trms o ttr norportn onnton strts n t tr n m smultons, mprov nowl omputton n t tr (.. prlll solvr upts), vlopmnt o n opnn oo, n mprovn smulton qulty. Anowlmnts W r nt to Sylvn Glly o t MoGo tm n Mrtn Müllr, Mrus Enznrr, Dv Slvr o t Fuo tm or mny usul sussons rrn Mont Crlo Tr Sr. W lso tn Gáor Mls n Trstn Cznv or usul sussons rrn tr rsptv utomt Hx plyrs. REFERENCES [] L. Vtor Alls. Srn or Solutons n Gms n Artl Intlln. PD tss, Unvrsty o Lmur, Mstrt, Ntrlns,. [] Vm V. Anslv. T m o Hx: An utomt torm provn ppro to m prormmn. In AAAI/IAAI, ps, Mnlo Pr, 000. AAAI Prss / T MIT Prss. [] Vm V. Anslv. Hxy wns Hx tournmnt. ICGA Journl, ():, 000. [] Vm V. Anslv. A rrl ppro to omputr Hx. Artl Intlln, ( ):0 0, 00. [] Bror Arnson, Ryn B. Hywr, n Plp Hnrson. MoHx wns Hx tournmnt. ICGA Journl, ():, 00. [] Bror Arnson, Ryn B. Hywr, n Plp Hnrson. Wolv 00 wns Hx tournmnt. ICGA Journl, ():, Mr 00.

8 [] Bror Arnson, Ryn B. Hywr, n Plp Hnrson. Solvn Hx: Byon umns. Apt to Computrs n Gms, 00. [] Elwyn Brlmp, Jon H. Conwy, n Rr K. Guy. Wnnn Wys or Your Mtmtl Plys, volum. A.K. Ptrs, n ton, 000. [] Rém Coulom. Computn Elo rtns o mov pttrns n t m o Go. ICGA Journl, 0(): 0, Dmr 00. [0] M. Enznrr n M. Müllr. Fuo omp, 00. Dt o pulton: My, 00. Dt rtrv: Mr, 00. [] D. Fotln. T Mny Fs o Go, vrson, 00. Dt rtrv: Aprl, 00. [] Mrtn Grnr. T n Snt Amrn Boo o Mtmtl Puzzls n Dvrsons, ptr, ps. Smon n Sustr, Nw Yor,. [] S. Glly, Y. Wn, R. Munos, n O. Tytu. Moton o UCT wt pttrns n Mont-Crlo Go, 00. Tnl Rport RR-0. [] Sylvn Glly n Dv Slvr. Comnn onln n oln nowl n UCT. In Zoun Grmn, tor, ICML, volum o ACM Intrntonl Conrn Pron Srs, ps 0. ACM, 00. [] Ryn Hywr, Ynv Börnsson, Ml Jonson, Morn Kn, Ntn Po, n J vn Rsw. Solvn Hx wt omnton, ll-n, n vrtul onntons. Tortl Computr Sn, ():, 00. [] Ryn B. Hywr. A not on omnton n Hx. Tnl rport, Unvrsty o Alrt, 00. [] Ryn B. Hywr. Sx wns Hx tournmnt. ICGA Journl, ():, 00. [] Ryn B. Hywr n J vn Rsw. Hx n omntors. Dsrt Mtmts, 0( 0):, 00. [] Pt Hn. Vl lr Polyon? Poltn, Dmr. [0] Plp Hnrson, Bror Arnson, n Ryn Hywr. Hx, rs, t rossn rul, n XH-sr. In J. vn n Hr n P. Spron, tors, ACG, volum 0 o Ltur Nots n Computr Sn, ps. Sprnr, 00. [] Plp Hnrson, Bror Arnson, n Ryn B. Hywr. Solvn x Hx. In Cr Boutlr, tor, IJCAI, ps 0 0, 00. [] Plp Hnrson n Ryn B. Hywr. Pron t -- tmplt n Hx. In H. Jp vn n Hr, Xn Xu, Zonmn M, n Mr H.M. Wnns, tors, Computrs n Gms, volum o Ltur Nots n Computr Sn, ps 0. Sprnr, 00. [] Plp Hnrson n Ryn B. Hywr. Cptur-rvrsl movs n str omposton omnton n Hx. Sumtt to Intrs, 00. [] GmCntr [] Lvnt Koss n Cs Szpsvár. Bnt s mont-rlo plnnn. In Jonns Fürnrnz, Tos Sr, n Myr Splopoulou, tors, ECML, volum o Ltur Nots n Computr Sn, ps. Sprnr, 00. [] Toms R. Ln. Strts or t utomt onstruton o opnn oos. In T. Antony Mrsln n In Frn, tors, Computrs n Gms, volum 0 o Ltur Nots n Computr Sn, ps. Sprnr, 000. [] Lttl Golm [] Gáor Mls. Sx. sx.rts.u/, 00. [] Gáor Mls n Ryn Hywr. Sx wns Hx tournmnt. ICGA Journl, (): 0, 00. [0] A. N. D-pn Alortm or Srn AND/OR Trs n Its Appltons. PD tss, Dpt. o Inormton Sn, Unvrsty o Toyo, Toyo, Jpn, 00. [] Jon Ns. Som ms n mns or plyn tm. Tnl Rport D-, RAND, Frury. [] Run Rsmussn n Fréér Mr. An xtnson o t H-sr lortm or rtl Hx plyrs. In Gory I. W n Xnuo Yu, tors, Austrln Conrn on Artl Intlln, volum o Ltur Nots n Computr Sn, ps. Sprnr, 00. [] All Sn. Utlzton UCT u Hx. Tnl rport, Eol Norml Suprur Lyon, 00. [] Clu E. Snnon. Computrs n utomt. Prons o t Insttut o Ro Ennrs, :,. [] Jn Wllmson n Ynv Börnsson. Sx wns Hx tournmnt. ICGA Journl, ():0, 00. [] Mr H. M. Wnns, Ynv Börnsson, n Jn-Ts Sto. Mont-Crlo tr sr solvr. In H. Jp vn n Hr, Xn Xu, Zonmn M, n Mr H.M. Wnns, tors, Computrs n Gms, volum o Ltur Nots n Computr Sn, ps. Sprnr, 00.

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling. Interval Scheduling: Greedy Algorithms

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling. Interval Scheduling: Greedy Algorithms 1 ptr 4 41 Intrvl Suln ry lortms Sls y Kvn Wyn opyrt 5 Prson-son Wsly ll rts rsrv Intrvl Suln Intrvl Suln: ry lortms Intrvl suln Jo strts t s n nss t Two os omptl ty on't ovrlp ol: n mxmum sust o mutully

More information

The Mathematics of Sudoku

The Mathematics of Sudoku T Mtmts o Suoku Tom Dvs tomrvs@rtlnk.nt ttp://www.omtr.or/mtrls (Prlmnry) Sptmr, 0 Introuton Suoku s puzzl prsnt on squr r tt s usully, ut s somtms or otr szs. In ts oumnt, w wll onsr only t s, ltou lmost

More information

A New Efficient Distributed Load Balancing Algorithm for OTIS-Star Networks

A New Efficient Distributed Load Balancing Algorithm for OTIS-Star Networks Int'l Con. Pr. n Dst. Pro. T. n Appl. PDPTA' A Nw Ent Dstrut Lo Blnn Alortm or OTIS-Str Ntwors A. Aww 1, J. Al-S 1 Dprtmnt o CS, Unvrsty o Ptr, Ammn, Jorn Dprtmnt o ITC, Ar Opn Unvrsty, Ammn, Jorn Astrt

More information

PRESENTED TO. Data Leakage Worldwide: The Effectiveness of Corporate Security Policies

PRESENTED TO. Data Leakage Worldwide: The Effectiveness of Corporate Security Policies PRSNTD TO Dt Lk Worlw: T tvnss o Corport Surty Pols UUST 2008 Ovrvw Rsr Otvs Cso ontrt nst xprss to xut n ntrntonl survy wt ous on t ollown otvs: xplor mploy us o ompny vs, nlun ommunton srvs n vs us,

More information

Matching Execution Histories of Program Versions

Matching Execution Histories of Program Versions Mt Exuto Hstors o Prorm Vrsos Xyu Z Rv Gupt Dprtmt o Computr S T Uvrsty o Arzo Tuso, Arzo 85721 {xyz,upt}@s.rzo.u ABSTRACT W vlop mto or mt ym stors o prorm xutos o two prorm vrsos. T mts prou usul my

More information

DATA MANAGEMENT POLICY

DATA MANAGEMENT POLICY Dt Mnmnt Poly Vrson 04.0, UPR IM12 Etv: 2 Mr 2011. R-ssu: 1 Sptmr 2012 DATA MANAGEMENT POLICY SUMMARY OF PRINCIPAL CHANGES Gnrl ns Doumnt upt wt t rom 1 Sptmr 2012 to norport t Unvrsty s rvs ntrnl mnmnt

More information

DATA MANAGEMENT POLICY. SUMMARY OF PRINCIPAL CHANGES General changes None for amendments in this revision, refer to Appendix II, UPR IM16.

DATA MANAGEMENT POLICY. SUMMARY OF PRINCIPAL CHANGES General changes None for amendments in this revision, refer to Appendix II, UPR IM16. Dt Mnmnt Poly Vrson 03.0, UPR IM16 (prvously UPR IM12) Etv: 2 Mr 2011. R-ssu: 1 Sptmr 2015 DATA MANAGEMENT POLICY SUMMARY OF PRINCIPAL CHANGES Gnrl ns Non or mnmnts n ts rvson, rr to Appnx II, UPR IM16.

More information

Recall from Last Time: Disjoint Set ADT

Recall from Last Time: Disjoint Set ADT Ltur 21: Unon n Fn twn Up-Trs Toy s An: Plntn n rown orst o Up-Trs Unon-n n Fn-n Extn xmpl Implmntn Unon/Fn Smrt Unon n Fn Unon-y-sz/t n Pt Comprsson Run Tm Anlyss s tou s t ts! Covr n Cptr 8 o t txtook

More information

MPLS FOR MISSION-CRITICAL MICROWAVE NETWORKS BUILDING A HIGHLY RESILIENT MICROWAVE NETWORK WITH MULTI-RING TOPOLOGY

MPLS FOR MISSION-CRITICAL MICROWAVE NETWORKS BUILDING A HIGHLY RESILIENT MICROWAVE NETWORK WITH MULTI-RING TOPOLOGY MPLS FOR MISSION-CRITICAL MICROWAVE NETWORKS BUILDING A HIGHLY RESILIENT MICROWAVE NETWORK WITH MULTI-RING TOPOLOGY TECHNICAL WHITE PAPER H rslny n srv vllty r ky sn onsrtons wn uln msson-rtl mrowv ntworks.

More information

Roof Terraces. Structural assemblies 04-2012

Roof Terraces. Structural assemblies 04-2012 C Roo Trrs Strutur ssms 04-2012 Prt soutons rom n xprt sour Sütr-Systms s n rn nm or ntnt strutur ssms on ons n trrs sn 1983. Tt yr, Wrnr Sütr nvnt t Sütr -TROBA mt, t rst rn mt or t r rn o ons n trrs.

More information

Uses for Binary Trees -- Binary Search Trees

Uses for Binary Trees -- Binary Search Trees CS122 Algorithms n Dt Struturs MW 11:00 m 12:15 pm, MSEC 101 Instrutor: Xio Qin Ltur 10: Binry Srh Trs n Binry Exprssion Trs Uss or Binry Trs Binry Srh Trs n Us or storing n rtriving inormtion n Insrt,

More information

Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years

Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957

More information

Hermes: Dynamic Partitioning for Distributed Social Network Graph Databases

Hermes: Dynamic Partitioning for Distributed Social Network Graph Databases Hrms: Dynm Prttonn or Dstrut Sol Ntwork Grph Dtss Dnl Nor Unvrsty o Wtrloo nl.nor@ml.om Shhn Kml Unvrsty o Wtrloo s3kml@uwtrloo. Khuzm Duj Unvrsty o Wtrloo kuj@uwtrloo. L Chn HKUST lhn@s.ust.hk ABSTRACT

More information

EuroFGI Workshop on IP QoS and Traffic Control TITOLO. A Receiver Side Approach for Real-Time Monitoring of IP Performance Metrics

EuroFGI Workshop on IP QoS and Traffic Control TITOLO. A Receiver Side Approach for Real-Time Monitoring of IP Performance Metrics EuroFGI Workhop on IP QoS n Trff Conrol TITOLO A Rvr S Approh for Rl-T Monorng of IP Prforn Mr TESI R. G. Grroppo, S. Gorno, F. Oppno, G. Pro Dp. of Inforon Engnrng Unvry of P 1 Lbon, Porugl, Dbr 6-7,

More information

Effect of Thermal Aging on Microstructure of Sn-Bi-In Solder Joint

Effect of Thermal Aging on Microstructure of Sn-Bi-In Solder Joint Trnstons o JWRI, Vol.43 (2014), No. 2 Et o Trml An on Mrostrutur o Sn-B-In Solr Jont MOKHTARI Om*, NISHIKAWA Hros** Astrt In ts stuy, t t o n 0.5 n 1 wt% In to Sn 58B solr on ntrmtll ompoun (IMC) lyrs

More information

Operation Transform Formulae for the Generalized. Half Canonical Sine Transform

Operation Transform Formulae for the Generalized. Half Canonical Sine Transform Appl Mhmcl Scnc Vol 7 3 no 33-4 HIKARI L wwwm-hrcom Opron rnorm ormul or h nrl Hl Cnoncl Sn rnorm A S uh # n A V Joh * # ov Vrh Inu o Scnc n Humn Amrv M S In * Shnrll Khnlwl Coll Aol - 444 M S In luh@mlcom

More information

Reading. Minimum Spanning Trees. Outline. A File Sharing Problem. A Kevin Bacon Problem. Spanning Trees. Section 9.6

Reading. Minimum Spanning Trees. Outline. A File Sharing Problem. A Kevin Bacon Problem. Spanning Trees. Section 9.6 Rin Stion 9.6 Minimum Spnnin Trs Outlin Minimum Spnnin Trs Prim s Alorithm Kruskl s Alorithm Extr:Distriut Shortst-Pth Alorithms A Fil Shrin Prolm Sy unh o usrs wnt to istriut il monst thmslvs. Btwn h

More information

ELECTRICAL CAPACITY SYMBOL EQUIPMENT TYPE LOCATION / SERVING MFR MODEL (GALLONS) VOLTS PH AMPS WATTS

ELECTRICAL CAPACITY SYMBOL EQUIPMENT TYPE LOCATION / SERVING MFR MODEL (GALLONS) VOLTS PH AMPS WATTS OT: This is a stadard symbol list ad ot all items listed may be used. bbreviatios () XT OV OOR OW OOR P OW PRVTR OT R OT. OTTO V VV W O WTR R OT TR OW T TR O OOR OT OOR R T T O P O PR OR P O PR T W R WT,

More information

A simple algorithm to generate the minimal separators and the maximal cliques of a chordal graph

A simple algorithm to generate the minimal separators and the maximal cliques of a chordal graph A smpl lgortm to gnrt t mnml sprtors nd t mxml lqus o ordl grp Ann Brry 1 Romn Pogorlnk 1 Rsr Rport LMOS/RR-10-04 Fbrury 11, 20 1 LMOS UMR CNRS 6158, Ensmbl Sntqu ds Cézux, F-63 173 Aubèr, Frn, brry@sm.r

More information

tis, cis cunc - cunc - tis, cis tis, cis cunc - tis, func - def - def - tis, U func - def - func - tis, pa - tri pa - tri pa - tri tu - per - tu -

tis, cis cunc - cunc - tis, cis tis, cis cunc - tis, func - def - def - tis, U func - def - func - tis, pa - tri pa - tri pa - tri tu - per - tu - 1 B Ihsu dulcs cuncts [Supr 1] [Supr 2] Tnr B B B B - B - B - Ih - Ih - Ih - su su su cs cs cs cunc - cunc - cunc - Amns, Bblthèqu Cntl L Agn, ms 162 D, ff 2v-10 ts, ts, ts, E-tr - E-tr - E-tr - n p n

More information

DATA MANAGEMENT POLICY

DATA MANAGEMENT POLICY Dt Mngmnt Poly Etv: 2 Mrh 2011. R-ssu: 1 Sptmr 2011 DATA MANAGEMENT POLICY IMPORTANT NOTICE Durng th Am Yr 2011-2012, th Unvrsty wll rvsng ts ntrnl struturs whh, mongst othr thngs, my rsult n th rplmnt

More information

11 + Non-verbal Reasoning

11 + Non-verbal Reasoning Prti Tst + Non-vrl Rsoning R th instrutions rfully. Do not gin th tst or opn th ooklt until tol to o so. Work s quikly n s rfully s you n. Cirl th orrt lttr from th options givn to nswr h qustion. You

More information

Two-stage Framework for Visualization of Clustered High Dimensional Data

Two-stage Framework for Visualization of Clustered High Dimensional Data T- F Vulzn Clu H Dnnl D Jul C Cll Cun G Inu Tnl 266 F Dv, Aln, GA 3332, USA Sn Bn Nnl Vulzn n Anl Cn P N Nnl L 92 Bll Blv, Rln, WA 99354, USA Hun P Cll Cun G Inu Tnl 266 F Dv, Aln, GA 3332, USA ABSTRACT

More information

Schedule C. Notice in terms of Rule 5(10) of the Capital Gains Rules, 1993

Schedule C. Notice in terms of Rule 5(10) of the Capital Gains Rules, 1993 (Rul 5(10)) Shul C Noti in trms o Rul 5(10) o th Cpitl Gins Ruls, 1993 Sttmnt to sumitt y trnsror o shrs whr thr is trnsr o ontrolling intrst Prt 1 - Dtils o Trnsror Nm Arss ROC No (ompnis only) Inom Tx

More information

Change Your History How Can Soccer Knowledge Improve Your Business Processes?

Change Your History How Can Soccer Knowledge Improve Your Business Processes? Symposium Inuurl Lctur o Hjo Rijrs, VU, 26-6-2015 Chn Your History How Cn Soccr Knowl Improv Your Businss Procsss? Wil vn r Alst TU/ n DSC/ 1970 born Oostrbk 1988-1992 CS TU/ 1992-1994 TS TU/ 1994-1996

More information

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ). PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a

More information

Ethical and Professional Standards

Ethical and Professional Standards STUDY SESSION 1 Etl n Prossonl Stnrs T rns n ts stuy ssson prsnt rmwork or tl onut n t nvstmnt prosson y ousn on t CFA Insttut Co o Ets n Stnrs o Prossonl Conut s wll s t Glol Invstmnt Prormn Stnrs (GIPS

More information

Effect of Seed Priming with Plant Growth Promoting Rhizobacteria (PGPR) on Agronomic Traits and Yield of Barley Cultivars

Effect of Seed Priming with Plant Growth Promoting Rhizobacteria (PGPR) on Agronomic Traits and Yield of Barley Cultivars Worl Appl S Journl (5): 77-73, 03 ISSN 88-495 IDOSI Pulto, 03 DOI: 0.589/os.wsj.03..5.749 Et o S Prmn wt Plnt Growt Promotn Rzotr (PGPR) on Aronom Trts n Yl o Brly Cultvrs A. Srnz, H. Solmnz n Z. Srnz

More information

Inductive Proximity Sensors For Reliable Precision Feedback

Inductive Proximity Sensors For Reliable Precision Feedback Inutv Proxmty Snsors For R Prson F Sut to n 21 Inutv Proxmty Snsors Contnts Tn Dt... 24-27 Apptons... 28 Orrn Inormton... 29 Inutv Proxmty Snsors Ovrvw... 30-31 DC Inutv Proxmty Snsors Cynr/Tr Brr Dsn

More information

Form: Parental Consent for Blood Donation

Form: Parental Consent for Blood Donation A R C Wt, C 20006 Ptl Ct f B i Ifi T f t y t ll f i y tl t q y t l A R C ly. Pl ll 1-800-RE-CROSS (1-800-733-2767) v. if y v q r t t i I iv t f yr,, t, y v t t: 1. Y y t t l i ly, 2. Y y t t t l i ( k

More information

Attorney Directory. Prepared for on 12/8/2008. Helping you balance work and life. To use your plan:

Attorney Directory. Prepared for on 12/8/2008. Helping you balance work and life. To use your plan: Prepared for on 12/8/2008 ttorney irectory R PRT elping you balance work and life elow is a list of etwork ttorneys with offices located near you. You can save money on legal services by using a etwork

More information

Othello: A Minute to Learn... A Lifetime to Master. Brian Rose

Othello: A Minute to Learn... A Lifetime to Master. Brian Rose Otllo: A Minut to Lrn... A Litim to Mstr Brin Ros Otllo n A Minut to Lrn...A litim to Mstr r Ristr Trmrks o Anjr Co., 9, 00 Anjr Co., All Rits Rsrv Copyrit 00 y Brin Ros Aknowlmnts Mu o tis ook is s on

More information

Paper Technics Orientation Course in Papermaking 2009:

Paper Technics Orientation Course in Papermaking 2009: P P Otto Cou Pmkg 2009: g to mk u tt you ol o tgt P Wo ould ttd? Otto Cou Pmkg wll b of vlu to t followg gou of ol:- 1. P mll mloy, wo dl dtly wt t o of mkg d w to mov t udtdg of t o d t mll oto t bod

More information

Oracle PL/SQL Programming Advanced

Oracle PL/SQL Programming Advanced Orl PL/SQL Progrmming Avn In orr to lrn whih qustions hv n nswr orrtly: 1. Print ths pgs. 2. Answr th qustions. 3. Sn this ssssmnt with th nswrs vi:. FAX to (212) 967-3498. Or. Mil th nswrs to th following

More information

- ASSEMBLY AND INSTALLATION -

- ASSEMBLY AND INSTALLATION - - SSEMLY ND INSTLLTION - Sliin Door Stm Mot Importnt! Ti rmwork n ml to uit 100 mm ini wll tikn (75 mm tuwork) or 125 mm ini wll tikn (100 mm tuwork) HOWEVER t uppli jm kit i pii to itr 100 mm or 125 mm

More information

Jesus Performed Miracles

Jesus Performed Miracles F Jonl P Ju Pr Mircl ch f lo Al n fri r b f Li blo n of ick li on Po k r u yi li br o n o y o on y r v y o r b f ch rfriror n -ll cr r p r o y k li Tor n of o ll y r u o kn on r ch n L ch p Ju Hl Officil

More information

Campus Sustainability Assessment and Related Literature

Campus Sustainability Assessment and Related Literature Campus Sustainability Assessment and Related Literature An Annotated Bibliography and Resource Guide Andrew Nixon February 2002 Campus Sustainability Assessment Review Project Telephone: (616) 387-5626

More information

Installation Instructions

Installation Instructions nstallation nstructions RYL SOWR SS NOT: O NOT STOR UNTS OUTOORS. KP OUT OF SUNLT N XPOSUR TO WTR. Keep the unit cartoned all the way to the bathroom site for added protection. Unit should be handled with

More information

WAVEGUIDES (& CAVITY RESONATORS)

WAVEGUIDES (& CAVITY RESONATORS) CAPTR 3 WAVGUIDS & CAVIT RSONATORS AND DILCTRIC WAVGUIDS OPTICAL FIBRS 導 波 管 & 共 振 腔 與 介 質 導 波 管 光 纖 W t rqu is t irowv rg >4 G? t losss o wv i two-odutor trsissio li du to iprt odutor d loss diltri o

More information

Distributed Systems Principles and Paradigms. Chapter 11: Distributed File Systems. Distributed File Systems. Example: NFS Architecture

Distributed Systems Principles and Paradigms. Chapter 11: Distributed File Systems. Distributed File Systems. Example: NFS Architecture Distriut Systms Prinipls n Prigms Mrtn vn Stn VU mstrm, Dpt. Computr Sin stn@s.vu.nl Chptr 11: Vrsion: Dmr 10, 2012 1 / 14 Gnrl gol Try to mk fil systm trnsprntly vill to rmot lints. 1. Fil mov to lint

More information

Outline. Binary Tree

Outline. Binary Tree Outlin Similrity Srh Th Nikolus Augstn Fr Univrsity of Bozn-Bolzno Fulty of Computr Sin DIS 1 Binry Rprsnttion of Tr Binry Brnhs Lowr Boun for th Eit Distn Unit 10 My 17, 2012 Nikolus Augstn (DIS) Similrity

More information

Menu Structure. Section 5. Introduction. General Functions Menu

Menu Structure. Section 5. Introduction. General Functions Menu Menu Structure Section 5 Introduction General Functions Menu Most workstation functions are accessed by menu selections. This section explains the menu structure and provides a tree structured view of

More information

Upward Planar Drawings of Series-Parallel Digraphs with Maximum Degree Three

Upward Planar Drawings of Series-Parallel Digraphs with Maximum Degree Three Upwr Plnr Drwins of ris-prlll Dirps wit Mximum Dr Tr (Extn Astrt) M. Aul Hssn m n M. iur Rmn Dprtmnt of Computr in n Eninrin, Bnls Univrsity of Eninrin n Tnoloy (BUET). {sm,siurrmn}@s.ut.. Astrt. An upwr

More information

Ethical and Professional Standards

Ethical and Professional Standards STUDY SESSION 1 Etl n Prossonl Stnrs T rns n ts stuy ssson prsnt rmwork or tl onut n t nvstmnt prosson y ousn on t CFA Insttut Co o Ets n Stnrs o Prossonl Conut (t Co n Stnrs) s wll s t CFA Insttut Rsr

More information

ALL DIMENSIONS IN MILLIMETRES BUT DO NOT SCALE DRAWING

ALL DIMENSIONS IN MILLIMETRES BUT DO NOT SCALE DRAWING 3 4 5 6 7 8 9 0 PP TST UPN : MTRL: RN STL PP PS 4.3 X 8.0 WLL X 5 LN NT: T NUMR TS S T LMT WT MXMUM 4 TS. TST PLT UPN : MTRL: RN STL PLT TNSS: 0 mm. X TST PLT UPN : MTRL: RN STL PLT TNSS: 6 mm. L PNT R

More information

CompactPCI Connectors acc. to PIGMG 2.0 Rev. 3.0

CompactPCI Connectors acc. to PIGMG 2.0 Rev. 3.0 Ctlog E 074486 08/00 Eition ComptPCI Conntors. to PIGMG.0 Rv. 3.0 Gnrl Lt in 999 PCI Inustril Computr Mnufturrs Group (PICMG) introu th nw rvision 3.0 of th ComptPCI Cor Spifition. Vrsion 3.0 of this spifition

More information

Five-Layer Density Column

Five-Layer Density Column Five-Layer ensity olumn density column consists of layers of liquids of different densities which do not mix with each other, and which are clearly distinguishable from each other. The highest density

More information

FORT WAYNE COMMUNITY SCHOOLS 12 00 SOUTH CLINTON STREET FORT WAYNE, IN 468 02 6:02 p.m. Ma r c h 2 3, 2 015 OFFICIAL P ROCEED ING S Ro l l Ca l l e a r d o f h o o l u e e o f t h e r t y m m u t y h o

More information

PIN #1 ID FIDUCIAL LOCATED IN THIS AREA TOP VIEW. ccc C SIDE VIEW

PIN #1 ID FIDUCIAL LOCATED IN THIS AREA TOP VIEW. ccc C SIDE VIEW Packag iagrams ruary 20 all W Packag Option : i0 P imnsions in illimtrs ata ht r PI # I IUI OT I TI R (X) 2 OTTO VIW. X Ø s TOP VIW Ø.0 Ø.0 I VIW OT:. IIO TOR PR Y. 99. 2. IIO R I IITR. IIO I UR T T XIU

More information

A122 MARION COUNTY HEALTH BUILDING HVAC, GLAZING AND LIGHTING RENOVATION 75% DOCUMENTS 08/31/2015

A122 MARION COUNTY HEALTH BUILDING HVAC, GLAZING AND LIGHTING RENOVATION 75% DOCUMENTS 08/31/2015 7 ' 7 /" ' " ' /" ' 9 /" ' 0" ' 0" ' 0" ' 0" ' " ' /" 0 NRL SHT NOTS IL VRIY XISTIN PRIOR TO WORK N NOTIY RHITT/NINR O ISRPNIS TWN RWINS N XISTIN ONITIONS. 0 0 0 PTH LOTIONS N IR PROOIN WHR XISTIN WLLS

More information

Binary Search Trees. Definition Of Binary Search Tree. The Operation ascend() Example Binary Search Tree

Binary Search Trees. Definition Of Binary Search Tree. The Operation ascend() Example Binary Search Tree Binary Sar Trs Compxity O Ditionary Oprations t(), put() and rmov() Ditionary Oprations: ƒ t(ky) ƒ put(ky, vau) ƒ rmov(ky) Additiona oprations: ƒ asnd() ƒ t(indx) (indxd inary sar tr) ƒ rmov(indx) (indxd

More information

Authenticated Encryption. Jeremy, Paul, Ken, and Mike

Authenticated Encryption. Jeremy, Paul, Ken, and Mike uthntcatd Encrypton Jrmy Paul Kn and M Objctvs Examn thr mthods of authntcatd ncrypton and dtrmn th bst soluton consdrng prformanc and scurty Basc Componnts Mssag uthntcaton Cod + Symmtrc Encrypton Both

More information

HIGH CREDIT OR LIMIT BALANCE $230000 MTG $120000 360 $975 $28626 069 $533 $31206 AUTO $4000 REV $228 MIN $10

HIGH CREDIT OR LIMIT BALANCE $230000 MTG $120000 360 $975 $28626 069 $533 $31206 AUTO $4000 REV $228 MIN $10 32065 TL URT UIT 300, VRGRN, 80439 Phone: 3036707993 Fax: 3036708067 MRGD INFIL RDIT RPRT Reporting ureau certifies compliance contractual requirements governing check of public records with these results.

More information

BLADE 12th Generation. Rafał Olszewski. Łukasz Matras

BLADE 12th Generation. Rafał Olszewski. Łukasz Matras BLADE 12th Generation Rafał Olszewski Łukasz Matras Jugowice, 15-11-2012 Gl o b a l M a r k e t i n g Dell PowerEdge M-Series Blade Server Portfolio M-Series Blades couple powerful computing capabilities

More information

Schneps, Leila; Colmez, Coralie. Math on Trial : How Numbers Get Used and Abused in the Courtroom. New York, NY, USA: Basic Books, 2013. p i.

Schneps, Leila; Colmez, Coralie. Math on Trial : How Numbers Get Used and Abused in the Courtroom. New York, NY, USA: Basic Books, 2013. p i. New York, NY, USA: Basic Books, 2013. p i. http://site.ebrary.com/lib/mcgill/doc?id=10665296&ppg=2 New York, NY, USA: Basic Books, 2013. p ii. http://site.ebrary.com/lib/mcgill/doc?id=10665296&ppg=3 New

More information

Classeur de Documents (à 72 Cases ) Casillero para Publicationes (72 Compartimientos)

Classeur de Documents (à 72 Cases ) Casillero para Publicationes (72 Compartimientos) an L ompany New ope, MN 55428 www.safcoproducts.com -Z Stor Literature Organizer (72 ompartments) lasseur de ocuments (à 72 ases ) asillero para Publicationes (72 ompartimientos) SSML SMLY NSTRUTONS NSTRUTONS

More information

d e f i n i c j i p o s t a w y, z w i z a n e j e s t t o m. i n. z t y m, i p o jі c i e t o

d e f i n i c j i p o s t a w y, z w i z a n e j e s t t o m. i n. z t y m, i p o jі c i e t o P o s t a w y s p o і e c z e t s t w a w o b e c o s у b n i e p e і n o s p r a w n y c h z e s z c z e g у l n y m u w z g lb d n i e n i e m o s у b z z e s p o і e m D o w n a T h e a t t i t uodf

More information

Level 3. Monday FRACTIONS ⅔ ⅗ 2) ⅔ =?/18. 1) What is a) ⅕ of 30? b) ⅖ of 30?

Level 3. Monday FRACTIONS ⅔ ⅗ 2) ⅔ =?/18. 1) What is a) ⅕ of 30? b) ⅖ of 30? 2014 Th Wkly Pln. All rights rsrv. Mony 2) ⅔ =?/18 1) Wht is ) ⅕ o 30? ) ⅖ o 30? 4) Us or = to show th rltionship twn th ollowing rtions: 3) Writ n quivlnt rtion or ½ ⅔ ⅗ 5) Brook pik ouqut o 24 lowrs.

More information

IncrEase: A Tool for Incremental Planning of Rural Fixed Broadband Wireless Access Networks

IncrEase: A Tool for Incremental Planning of Rural Fixed Broadband Wireless Access Networks InrEs: A Tool or Inrmntl Plnning o Rurl Fix Bron Wirlss Ass Ntworks Giomo Brnri n Mhsh K. Mrin Shool o Inormtis Th Univrsity o Einurgh, UK Frnso Tlmon n Dmitry Rykovnov EOLO L NGI SpA, Miln, Itly Astrt

More information

Neighborhood Evaluation in Acquiring Stock Trading Strategy Using Genetic Algorithms

Neighborhood Evaluation in Acquiring Stock Trading Strategy Using Genetic Algorithms Il Jul Cpu I S Iul M Appl. ISSN 215-7988 Vlu 4 (212) pp. 366 373 MIR Lb, www.lb./j/x.hl Nhbh Elu Aqu Sk S U G Alh Kzuh Mu Hu S p Cpu S, Cll E, Nh U, 1 Nkw, ku, u-h, K, 963-8642, Jp u@..h-u..jp Ab: W pp

More information

AdvancedTCA Connectors acc. to PICMG 3.0

AdvancedTCA Connectors acc. to PICMG 3.0 AvnTCA Conntors. to PICMG 3.0 ERNI is nxious to support ustomrs xtnsivly n is rully ompltin t prout rn or intronnt pltorms. Tis lso inlus t ATCA (Avn Tlom Computin Arittur) stnr. Tis stnr (lso known s

More information

Transient Voltage Suppressor SMBJ5.0 - SMBJ440CA

Transient Voltage Suppressor SMBJ5.0 - SMBJ440CA Features: Glass passivated junction Low incremental surge resistance, excellent clamping capability 600W peak pulse power capability with a 10/1,000μs waveform, repetition rate (duty cycle): 0.01% Very

More information

Binary Search Trees. Definition Of Binary Search Tree. Complexity Of Dictionary Operations get(), put() and remove()

Binary Search Trees. Definition Of Binary Search Tree. Complexity Of Dictionary Operations get(), put() and remove() Binary Sar Trs Compxity O Ditionary Oprations t(), put() and rmov() Ditionary Oprations: ƒ t(ky) ƒ put(ky, vau) ƒ rmov(ky) Additiona oprations: ƒ asnd() ƒ t(indx) (indxd inary sar tr) ƒ rmov(indx) (indxd

More information

SKILL TEST IR(H) HELICOPTER SE ME Application and report form A. Udfyldes af ansøgeren/to be filled out by the applicant:

SKILL TEST IR(H) HELICOPTER SE ME Application and report form A. Udfyldes af ansøgeren/to be filled out by the applicant: SKILL TEST IR(H) HELICOPTER SE ME Applition n rport orm A. Uyls nsørn/to ill out y th pplint: CPR-nr./Dt o Birth: Crtiikt nr./lin no.: (I ny) Ustn Stt/Stt o Lin Issu: Fornvn/First nm(s): Etrnvn/Lst nm:

More information

i n g S e c u r it y 3 1B# ; u r w e b a p p li c a tio n s f r o m ha c ke r s w ith t his å ] í d : L : g u id e Scanned by CamScanner

i n g S e c u r it y 3 1B# ; u r w e b a p p li c a tio n s f r o m ha c ke r s w ith t his å ] í d : L : g u id e Scanned by CamScanner í d : r ' " B o m m 1 E x p e r i e n c e L : i i n g S e c u r it y. 1-1B# ; u r w e b a p p li c a tio n s f r o m ha c ke r s w ith t his g u id e å ] - ew i c h P e t e r M u la e n PACKT ' TAÞ$Æo

More information

H ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct

H ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct H ig h L e v e l O v e r v iew S te p h a n M a rt in S e n io r S y s te m A rc h i te ct OPEN XCHANGE Architecture Overview A ge nda D es ig n G o als A rc h i te ct u re O ve rv i ew S c a l a b ili

More information

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES A

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES A 0V TO 0V SUPPLY +0V TO +0V RS85 ONVRTR 9 TO OM PORT ON P TO P OM PORT US 9600 U 8IT, NO PRITY, STOP, NO FLOW TRL. OPTO SNSOR # +0V TO +0V RS85 RS85 OPTO SNSOR # PHOTO TRNSISTOR OPTO SNSOR # L TO OTHR Z

More information

Evobike 2014 Árak szerzõdött partnereink számára Mounty

Evobike 2014 Árak szerzõdött partnereink számára Mounty Evobike 2014 Árak szerzõdött partnereink számára Mounty Cikksz. Termék neve Szerzõdött árak (Ft) nettó Szerzõdött árak (Ft) bruttó Fogyasztói ár (Ft) 0713 MOUNTY LITE-PEDAL 6126 7780 10427 0713COMP MOUNTY

More information

Applications: Lifting eyes are screwed or welded on a load or a machine to be used as lifting points.

Applications: Lifting eyes are screwed or welded on a load or a machine to be used as lifting points. Liin ys Applicions: Liin ys r scrw or wl on or mchin o us s liin poins. Rn: Vn Bs ors wi rn o liin poins in lloy sl: ix, ricul, pivoin n/or roin. Fix liin poin: Ey nu, yp EL - mric vrsion Ey ol, yp AL

More information

1. Oblast rozvoj spolků a SU UK 1.1. Zvyšování kvalifikace Školení Zapojení do projektů Poradenství 1.2. Financování 1.2.1.

1. Oblast rozvoj spolků a SU UK 1.1. Zvyšování kvalifikace Školení Zapojení do projektů Poradenství 1.2. Financování 1.2.1. 1. O b l a s t r o z v o j s p o l k a S U U K 1. 1. Z v y š o v á n í k v a l i f i k a c e Š k o l e n í o S t u d e n t s k á u n i e U n i v e r z i t y K a r l o v y ( d á l e j e n S U U K ) z í

More information

CC01[PE] 4mm² BLK. 16mm² [CC01] ASSEMBLY PLATE CB10PE. 16mm². 16mm²

CC01[PE] 4mm² BLK. 16mm² [CC01] ASSEMBLY PLATE CB10PE. 16mm². 16mm² ST WR R WR W R WR R WR R WR W R WR R WR R WR W R WR R 0 0 0 [0] 00V, 0z S R [0] SV.000 g V= 0 0 UT 0[] mm². mm² T T T T T T T T T T T T T T T T T T T T T SSY T [0] UT, VV TR 0 UT, TR VV X V V V V T, 0V

More information

C o a t i a n P u b l i c D e b tm a n a g e m e n t a n d C h a l l e n g e s o f M a k e t D e v e l o p m e n t Z a g e bo 8 t h A p i l 2 0 1 1 h t t pdd w w wp i j fp h D p u b l i c2 d e b td S t

More information

Algorithmic Aspects of Access Networks Design in B3G/4G Cellular Networks

Algorithmic Aspects of Access Networks Design in B3G/4G Cellular Networks Algorithmi Aspts o Ass Ntworks Dsign in BG/G Cllulr Ntworks Dvi Amzllg, Josph (Si) Nor,DnnyRz Computr Sin Dprtmnt Thnion, Hi 000, Isrl {mzllg,nny}@s.thnion..il Mirosot Rsrh On Mirosot Wy, Rmon, WA 980

More information

Process Mining Making Sense of Processes Hidden in Big Event Data

Process Mining Making Sense of Processes Hidden in Big Event Data Pross Minin Mkin Sns o Prosss Hin in Bi Evnt Dt EIS Colloquium, 7-12-2012, TU/, Einovn Wil vn r Alst www.prossminin.or omplin-orint qustions, prolms n solutions prormn-orint qustions, prolms n solutions

More information

CLASS TEST GRADE 11. PHYSICAL SCIENCES: CHEMISTRY Test 6: Chemical change

CLASS TEST GRADE 11. PHYSICAL SCIENCES: CHEMISTRY Test 6: Chemical change CLASS TEST GRADE PHYSICAL SCIENCES: CHEMISTRY Test 6: Chemical change MARKS: 45 TIME: hour INSTRUCTIONS AND INFORMATION. Answer ALL the questions. 2. You may use non-programmable calculators. 3. You may

More information

WHAT HAPPENS WHEN YOU MIX COMPLEX NUMBERS WITH PRIME NUMBERS?

WHAT HAPPENS WHEN YOU MIX COMPLEX NUMBERS WITH PRIME NUMBERS? WHAT HAPPES WHE YOU MIX COMPLEX UMBERS WITH PRIME UMBERS? There s n ol syng, you n t pples n ornges. Mthemtns hte n t; they love to throw pples n ornges nto foo proessor n see wht hppens. Sometmes they

More information

Back left Back right Front left Front right. Blue Shield of California. Subscriber JOHN DOE. a b c d

Back left Back right Front left Front right. Blue Shield of California. Subscriber JOHN DOE. a b c d Smpl ID r n sription o trms Bk lt Bk right Front lt Front right Provirs: Pls il ll lims with your lol BluCross BluShil lins in whos srvi r th mmr riv srvis or, whn Mir is primry, il ll Mir lims with Mir.

More information

Earthquake Hazard Zones: The relative risk of damage to Canadian buildings

Earthquake Hazard Zones: The relative risk of damage to Canadian buildings Earthquake Hazard Zones: The relative risk of damage to Canadian buildings by Paul Kovacs Executive Director, Institute for Catastrophic Loss Reduction Adjunct Research Professor, Economics, Univ. of Western

More information

Opis przedmiotu zamówienia - zakres czynności Usługi sprzątania obiektów Gdyńskiego Centrum Sportu

Opis przedmiotu zamówienia - zakres czynności Usługi sprzątania obiektów Gdyńskiego Centrum Sportu O p i s p r z e d m i o t u z a m ó w i e n i a - z a k r e s c z y n n o c i f U s ł u i s p r z» t a n i a o b i e k t ó w G d y s k i e C eo n t r u m S p o r t us I S t a d i o n p i ł k a r s k i

More information

BERGEN COMMUNITY COLLEGE DIVISION OF BUSINESS, PERFORMING ARTS AND SOCIAL SCIENCES BUSINESS DEPARTMENT

BERGEN COMMUNITY COLLEGE DIVISION OF BUSINESS, PERFORMING ARTS AND SOCIAL SCIENCES BUSINESS DEPARTMENT BERGEN COMMUNITY COLLEGE DIVISION OF BUSINESS, PERFORMING ARTS AND SOCIAL SCIENCES BUSINESS DEPARTMENT BUS 207 Pcpl f Mg S, Y Syllbu Dl Cu Nub/Sc: Mg Dy & T: Iuc: Offc Lc: Ph: R Nub: Offc Hu: E-l : C u

More information

SCO TT G LEA SO N D EM O Z G EB R E-

SCO TT G LEA SO N D EM O Z G EB R E- SCO TT G LEA SO N D EM O Z G EB R E- EG Z IA B H ER e d it o r s N ) LICA TIO N S A N D M ETH O D S t DVD N CLUDED C o n t e n Ls Pr e fa c e x v G l o b a l N a v i g a t i o n Sa t e llit e S y s t e

More information

COLLEGE OF HUMANITIES AND SOCIAL SCIENCE. Which School is my degree in?

COLLEGE OF HUMANITIES AND SOCIAL SCIENCE. Which School is my degree in? School of Business Student Support Office: Room 1.08, 29 Buccleuch Place (t): 0131 651 5251 (e): sso@business school.ed.ac.uk NN43 Accounting and Finance N100 Business Management NN13 Business & Finance

More information

Targeted Cancer Gene Analysis For Research Use Only - Not Intended for Clinical Use

Targeted Cancer Gene Analysis For Research Use Only - Not Intended for Clinical Use Targeted Cancer Gene Analysis For Research Use Only - Not Intended for Clinical Use PGDX ID Sample ID Mutation Position Nucleotide (genomic) Amino Acid (protein) Mutation Type Consequence PGDX2163N_NotchCp

More information

Chapter 3 Chemical Equations and Stoichiometry

Chapter 3 Chemical Equations and Stoichiometry Chptr Chmicl Equtions nd Stoichiomtry Homwork (This is VERY importnt chptr) Chptr 27, 29, 1, 9, 5, 7, 9, 55, 57, 65, 71, 75, 77, 81, 87, 91, 95, 99, 101, 111, 117, 121 1 2 Introduction Up until now w hv

More information

AH001022 AH001088 AH001285 AH001315 AH001463 AH002107 AH002218 AH002306 AH003071 AH003081 AH003141 AH003329 AH003356 AH003377

AH001022 AH001088 AH001285 AH001315 AH001463 AH002107 AH002218 AH002306 AH003071 AH003081 AH003141 AH003329 AH003356 AH003377 Page 1 of 7 AHMEDNAGAR AH001022 AH001088 AH00128 AH00131 AH001463 AH002107 AH002218 AH002306 AH003071 AH003081 AH003141 AH003329 AH00336 AH003377 AH003396 AH004119 AH004262 AH004263 AH00182 AH00221 AH00233

More information

Where preparation meets opportunity. My Academic Planner. Early Academic Outreach Program (EAOP)

Where preparation meets opportunity. My Academic Planner. Early Academic Outreach Program (EAOP) Whr prprtion mts opportunity. My Ami Plnnr Erly Ami Outrh Prorm (EAOP) Follow this 4-stp pln to prpr or mission to th Univrsity o Cliorni (UC), Cliorni Stt Univrsity (CSU) n mny inpnnt olls with similr

More information

Cikkszám Termék neve Fogyasztói bruttó árak

Cikkszám Termék neve Fogyasztói bruttó árak Evobike 2014 Mounty termékcsalád Cikkszám Termék neve Fogyasztói bruttó árak 0713 MOUNTY LITE-PEDAL 10598 0713COMP MOUNTY COMP-PEDAL SCHWARZ/SILBER 16568 0713DH 0713DH nicht mehr lieferbar/11 13251 0713FREE

More information

I n la n d N a v ig a t io n a co n t r ib u t io n t o eco n o m y su st a i n a b i l i t y

I n la n d N a v ig a t io n a co n t r ib u t io n t o eco n o m y su st a i n a b i l i t y I n la n d N a v ig a t io n a co n t r ib u t io n t o eco n o m y su st a i n a b i l i t y and KB rl iak s iol mi a, hme t a ro cp hm a5 a 2k p0r0o 9f i,e ls hv oa nr t ds eu rmv oedye l o nf dae cr

More information

The Lincoln National Life Insurance Company Variable Life Portfolio

The Lincoln National Life Insurance Company Variable Life Portfolio The Lincoln National Life Insurance Company Variable Life Portfolio State Availability as of 12/14/2015 PRODUCTS AL AK AZ AR CA CO CT DE DC FL GA GU HI ID IL IN IA KS KY LA ME MP MD MA MI MN MS MO MT NE

More information

Paper Cold & Hot Drink Cups & Lids

Paper Cold & Hot Drink Cups & Lids Paper old & Hot rink ups & Lids. UL LIS W/STRW SLOTS SOLO Lids for cold drink cups. Translucent 18200297 L9N Fits 7, 7 & L7 2000/cs. 18702500 L10LN Fits 9, 9, VP95X, L91, R10NN, 2500/cs. PV12, V122, VP12

More information

Device I n s t r u m en t a t io n E x a m p l es : I P S L A s & N et F l o w Presented by Emmanuel Tychon Techni cal M ark eti ng Eng i neer TU D resden, J anuary 1 7 th 2 0 0 7 1. C is co I O S I P

More information

Using Predictive Modeling to Reduce Claims Losses in Auto Physical Damage

Using Predictive Modeling to Reduce Claims Losses in Auto Physical Damage Using Predictive Modeling to Reduce Claims Losses in Auto Physical Damage CAS Loss Reserve Seminar 23 Session 3 Private Passenger Automobile Insurance Frank Cacchione Carlos Ariza September 8, 23 Today

More information

PC Problems HelpDesk Service Agreement

PC Problems HelpDesk Service Agreement Enn SS 7 b aw f Un Sa & anaa an b nnana a I IS ILLEGL ND SRILY ROHIIED O DISRIUE, ULISH, OFFER FOR SLE, LIENSE OR SULIENSE, GIVE OR DISLOSE O NY OHER RY, HIS RODU IN HRD OY OR DIGIL FORM LL OFFENDERS WILL

More information

Elements from Another Universe: Understanding the Beauty of the Periodic Table

Elements from Another Universe: Understanding the Beauty of the Periodic Table Elements from Another Universe: Understanding the Beauty of the Periodic Table Learning Objectives: The students will examine the properties of make believe elements, arrange these elements so as to create

More information

1.r- OFFICE OF BUSI N ESS ECO N OMICS 1 \ Foreig11 Aid. by the. llnited Stutes Government 1940-1951. Prepared by the

1.r- OFFICE OF BUSI N ESS ECO N OMICS 1 \ Foreig11 Aid. by the. llnited Stutes Government 1940-1951. Prepared by the . ' r l .. D P RTNT F R H RL R, R T R \X, FF F B N N. J PH H N, D RT R F r n d b th n t d t t v rnnt 40 Pr p r d b th lr n ff f r F r n Tr n tn (>~ О F F F B N N.. V RNNT PR NT N FF H N T N : 2 U.S. DEPARTMENT

More information

USI Master Policy Information

USI Master Policy Information Policy I.D. Gender A.B. (#327) M 86 United of Omaha $ 1,000,000.00 A.B. (#430) - (#436) M 86 Metlife $ 2,000,000.00 A.G. #1 (#371), (#610), (#624) M Conseco Life $ 3,125,000.00 10/Apr/10 A.G. #2 (#380),

More information

RIGHT-OF-WAY ACQUISITION AND BRIDGE CONSTRUCTION BONDS 7/01/12 341150MD9 341150ND8 341150QR4

RIGHT-OF-WAY ACQUISITION AND BRIDGE CONSTRUCTION BONDS 7/01/12 341150MD9 341150ND8 341150QR4 RIGHT-OF-WAY ACQUISITION AND BRIDGE CONSTRUCTION BONDS CUSIP Numbers Maturity Date Series 2002 Dated 1/15/2002 Series 2002A New & Refunding Dated 9/01/2002 Series 2003A Dated 9/15/2003 7/01/12 341150MD9

More information

Juneau International Runway 8/26 Rehabilitation November 2013 APPENDIX A. Site Plan and Sampling Locations

Juneau International Runway 8/26 Rehabilitation November 2013 APPENDIX A. Site Plan and Sampling Locations Juneau International Runway 8/26 Rehabilitation November 2013 Geotechnical Report PPNDIX Juneau, laska PPNDIX Site Plan and Sampling Locations TO UK BY, FRRY TRMINL G N DR IV GL GLCIR HWY CI RH TO LMON

More information

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST: .4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This

More information

Excel Invoice Format. SupplierWebsite - Excel Invoice Upload. Data Element Definition UCLA Supplier website (Rev. July 9, 2013)

Excel Invoice Format. SupplierWebsite - Excel Invoice Upload. Data Element Definition UCLA Supplier website (Rev. July 9, 2013) Excel Invoice Format Excel Column Name Cell Format Notes Campus* Supplier Number* Invoice Number* Order Number* Invoice Date* Total Invoice Amount* Total Sales Tax Amount* Discount Amount Discount Percent

More information