CS150 Sp 98 R. Newton & K. Pister 1
|
|
- Barrie Mitchell
- 5 years ago
- Views:
Transcription
1 Outin Cok Synronous Finit- Mins Lst tim: Introution to numr systms: sin/mnitu, ons ompmnt, twos ompmnt Rviw o ts, ip ops, ountrs Tis tur: Rviw Ts & Trnsition Dirms Impmnttion Usin D Fip-Fops Min Equivn Inompty Spii Mins ssinmnt & Coin Sms Dsin Exmp: ssin Cos to s Dsin Exmp: Impmnt Usin D ip-ops Dsin Exmp: Impmnt Usin T ip-ops Exmp: Consir t stunt ssoition o vnin min wi ss o t /up. T min wi pt niks, ims, n qurtrs, on t tim. T o rs in wi st to tru wn or mor s n put into t min n t min wi rturn t orrt n. CS Nwton/Pistr 8.. CS Nwton/Pistr 8..2 primry (σ(t)) sonry (q(t)) Dinition: My Min Nxt- Mmory sonry (q(t+)) primry (z(t)) squnti min or My Min n rtriz y t quintup: M = ( S, Q, Z,, ) wr S = init non-mpty st o input symos σ, σ2,..., σi Q = init non-mpty st o stts q, q2,..., qn Z = init non-mpty st o output symos z, z2,..., zm = nxt-stt untion, wi mps Q S i Q = t output untion, wi mps Q S i Z primry (σ(t)) sonry (q(t)) Dinition: Moor Min Nxt- Mmory sonry (q(t+)) primry (z(t)) squnti min is si to o t Moor typ (Moor Min ) i its output untion is untion ony o its stts (i.. : Q i Z) Evry My Min n onvrt to Moor Min n vi vrs. I t Mmory is ok, t mins r Cok, Synronous My n Moor mins rsptivy. CS Nwton/Pistr 8.. CS Nwton/Pistr 8.. Dsin Exmp: s, s n s Exmp: Consir t stunt ssoition o vnin min wi ss o t /up. T min wi pt niks, ims, n qurtrs, on t tim. T o rs in wi st to tru wn or mor s n put into t min n t min wi rturn t orrt n. S = {,, 2 } M = ( S, Q, Z,, ) Squnti Min Z = { D, R, R, R, R, R2 } Nxt- n Funtions / t ( symo ropp or rity): q\s 2 q q,d q,d q,r q q,d q,r q,r q q,r q,r q,r2 Nxt, q q q Q = { q, q, q } q Mns tt upon t insrtion o, wn /D t min is in stt q, it wi o to q stt q, t o wi not rs n no n ( ) wi rturn. CS Nwton/Pistr 8.. CS Nwton/Pistr 8..6 CS Sp 98 R. Nwton & K. Pistr
2 How out Moor Min? S = {,, 2 } Nxt- Mmory Q = { q, q, q, } Z = { D, R, R, R, R, R2 } / Trnsition T n Trnsition Dirm: Moor Min q\s 2 z q q q q2 D q q q q D q q q2 q D q q q q2 R q2 q q q2 R q2 q q q2 R q q q q2 R q q q q2 R2 Nxt q/d q/r q2/r q/d q/d q/2 q2/r q/ CS Nwton/Pistr 8..7 CS Nwton/Pistr 8..8 Convrsion to My Min q\s 2 q q,d q,d q2,r q q q,d q,r q,r q,r q2,r q,r2 q q,d q,d q2,r q2 q,d q,d q2,r q2 q,d q,d q2,r q q,d q,d q2,r q q,d q,d q2,r Nxt, Min Equivn Lt q n q two stts o mins M n M rsptivy. s q n q r si to quivnt i, strtin wit q n q, or ny squn o input symos ppi to t two mins, t output squns r inti. I q n i r not inti, ty r si to istinuis. Lt M n M two squnti mins. M n M r si to qivnt i or vry stt o M tr xists t st on quivnt stt in M, n vi vrs. Simiry, i M n M r not quivnt w sy ty r istinuis. Two stts q n q r quivnt i: () q n q prou t sm output vus (or My mins, ty must prou t sm or input onitions). (2) For input omintion, q n q must v t sm nxt stt, or quivnt nxt stts. CS Nwton/Pistr 8..9 CS Nwton/Pistr 8.. Minimiztion o Compty-Spii Mins Dsin Exmp: Minimiztion Two stts r si to k-quivnt i, wn xit y n input squn o k symos, yi inti output squns. T min n prtition y tis k-quivn rtion into k-quivn sss. For ny n-stt min, tr n t most (n-) sussiv, istint prtitions. For ny n-stt min, ts quivn sss ontin on n ony on uniqu stt. To minimiz ompty-spii min: () Fin t -quivn sss, 2-quivn sss, t. unti t k+ quivn sss r t sm s t K quivn sss, tn stop. (2) Comin t stts in t sm ss into sin stt. I t min s m quivn sss, t min s m stts. q \ s 2 -prtition q q,d q,d q2,r I q q,d q,r q,r II q q,r q2,r q,r2 III q q,d q,d q2,r I q2 q,d q,d q2,r I q2 q,d q,d q2,r I q q,d q,d q2,r I q q,d q,d q2,r I CS Nwton/Pistr 8.. CS Nwton/Pistr 8..2 CS Sp 98 R. Nwton & K. Pistr 2
3 Dsin Exmp: Minimiztion ssinmnt -prtition q \ s 2 2-prtition q q,d q,d q2,r q q,d q,d q2,r I q2 q,d q,d q2,r q2 q,d q,d q2,r q q,d q,d q2,r q q,d q,d q2,r II q q,d q,r q,r III q q,r q2,r q,r2 q\s 2 q q,d q,d q,r q q,d q,r q,r q q,r q,r q,r2 W must ssin os to symoi vus. Cos or input n output symos r usuy "ivn" so w must trmin os or t stt symos. Tis pross is stt ssinmnt or stt oin. I inry stor mnts r us w n: Øo2(N s )ø < N m < N s CS Nwton/Pistr 8.. CS Nwton/Pistr 8.. Dsin Exmp: ssinmnt Minimum-Lnt Co For tis xmp, 2 < N m <. I w oos N m = 2, n ssin os rnomy, tn w v t stt t: q\σ 2,D,D,R,D,R,R,R,R,R2??,????,????,?? unus stt Impmnttion Usin D Fip-Fops Cn us positiv--trir D op-op irty to impmnt stor mnt: S = {,, 2 } Nxt- D Q D Q D Q Q = {,,} Z = { D, R, R, R, R, R2 } CS Nwton/Pistr 8.. CS Nwton/Pistr 8..6 Dsin Exmp: ssinmnt On-Hot Co For tis xmp, 2 < N m <. I w oos N m =, n ssin os rnomy ut wr xty on it o t o is "" or vi stt, tn w v t stt t: q\s 2,D,D,R,D,R,R,R,R,R2???,?????,?????,?????,?????,?????,?????,?????,?????,?????,?????,?????,?????,?????,?????,?? unus stts Stps to FSM Dsin Construt stt/output t rom t wor sription (or stt rp). Minimiztion: Minimiz t numr o stts (usuy ps). ssinmnt: Coos st o stt vris n ssin os to nm stts. Sustitut t stt-vri omintions into t stt/output t to rt trnsition/output t tt sows t sir nxt-stt vri omintion or stt/input omintion. Coos ip-op typ (.. D, J-K, T) or t stt mmory. Construt n xittion t tt sows t xittion vus rquir to otin t sir nxt-stt vu or stt/input omintion. Driv xittion qutions rom xittion t. Driv output qutions rom trnsition/output t. Drw oi irm tt sows omintion nxt-stt n output untions s w s ip-ops. CS Nwton/Pistr 8..7 CS Nwton/Pistr 8..8 CS Sp 98 R. Nwton & K. Pistr
4 Minimiztion Usin n Impition T Bui omptiiity kin t in r sp, s sown, n row q2, q,... qn n oumn q, q2, qn- (no n or ion). q\s z Minimiztion Usin m Impition T: Summry o ppro Construt n impition t wi ontins squr or pir o stts. L row q2, q,... qn n oumn q, q2, qn- (no n or ion). Compr pir o rows in t stt t. I t ssoit wit stts i n j r irnt, put n in squr i-j to init tt i j (trivi non-quivn). I t n t nxt stts r t sm, put in squr i-j to init i j (trivi quivn). In otr squrs, put stt-pirs tt must quivnt i stts i-j r to quivnt (i t nxt stts o i n j r m n n or som input σ, tn m-n is n impi pir n os in squr i-j). Go trou t non- n non- squrs, on t tim. I squr i-j ontins n impi pir n squr m-n ontins n, tn i j so put n in i-j s w. I ny 's wr in t st stp, rpt it unti no mor 's r. For squr i-j wi not ontinin n, i j. CS Nwton/Pistr 8..9 CS Nwton/Pistr 8..2 Impition T Exmp: Pss Impition T Exmp: Pss n Pss 2 q\s z CS Nwton/Pistr 8..2 CS Nwton/Pistr Impition T Exmp: Fin T Stps to FSM Dsin q\s z Construt stt/output t rom t wor sription (or stt rp). Minimiztion: Minimiz t numr o stts (usuy ps it). ssinmnt: Coos st o stt vris n ssin os to nm stts. Sustitut t stt-vri omintions into t stt/output t to rt trnsition/output t (nxt-stt t) tt sows t sir nxt-stt vri omintion or stt/input omintion. Construt nxt-stt K-mps s n. Coos ip-op typ (.. D, J-K, T) or t stt mmory. Construt n xittion t tt sows t ip-op input xittion vus rquir to otin t sir nxt-stt vu or stt/input omintion. Driv ip-op xittion qutions rom xittion t. Driv output qutions rom trnsition/output t. Drw oi irm tt sows omintion nxt-stt n output untions s w s ip-ops. CS Nwton/Pistr 8..2 CS Nwton/Pistr 8..2 CS Sp 98 R. Nwton & K. Pistr
5 Guiins or ssinmnt T i o t oowin uristis is to try to t t 's totr (in t sm impint) on t ip-op input mps. Tis mto os not ppy to proms n vn wn it is ppi it os not urnt minimum soution. s wi v t sm nxt stt, or ivn input, sou ivn jnt ssinmnts ("n-out orint"). s wi r t nxt stts o t sm stt sou ivn jnt ssinmnts ("n-in orint"). Tir priority, to simpiy t output untion, stts wi v t sm output or ivn input sou ivn jnt ssinmnts (tis wi p put t 's totr in t output K- mps; "output orint"). / / / / / / / / {,}; {,}; {,} But How Do You tuy Do It? Writ own o t stts tt sou ivn jnt ssinmnts orin to t ritri ov ("ssinmnt onstrints", or " min onstrints.") Tn, usin Krnu-mp, try to stisy s mny o tm s possi (or us omputr prorm wi os it: Kiss, Nov, Mustn, Ji). Som uiins to p r: ssin t strtin stt to t "" squr on t mp (pikin irnt squr osn't p, sin squrs v t sm numr o jnis n it's sir to rst to ""). Fnout-orint uiins n jny onitions rquir mor tn on sou stisi irst. Wn uiins rquir tt or stts jnt, ts stts sou p witin roup o on t ssinmnt mp. I tr r ony w, t output uiin sou ppi st. I tr r ots o n ony w stts, tn iv mor wit to t tir uiin. CS Nwton/Pistr 8..2 CS Nwton/Pistr ssinmnt: Dsin Exmp q \ s q q, q2, q q, q2, q2 q, q, q q, q2, q q, q6, q q, q2, q6 q, q6, Consir t stt t opposit: Guiin : {q,q2,q,q6} sin v q s nxt-stt wit input. Simiry {q,q,q,q}; {q,q}; {q,q6}. Guiin 2: {q,q2} sin nxtstts o q. Simiry {q2,q}; {q,q}; {q2,q} twi; {q,q6} twi. Guiin : wou not wort usin r. W ry v ot o onstrints n tir is ony on output, mosty. ssinmnt: Dsin Exmp Givn t jny onstrints: : {q,q2,q,q6}; {q,q,q,q}; {q,q}; {q,q6}. 2: {q,q2}; {q2,q}; {q,q}; {q2,q} twi; {q,q6} twi. Coos numr o ip-ops: 6 stts so n t st n no mor tn 6. Try wit -, B, C sy. Tsk is now to oos ssinmnt o -it (C) stt os to q-q6 so tt s mny o t ov onstrints s possi r stisi, in t orr stt rir. C q q6 q 2 6 q2 q q q 7 B C q q q2 2 6 q q q q6 7 B CS Nwton/Pistr CS Nwton/Pistr ssinmnt: Dsin Exmp ssinmnts iv y tri-nrror (qustion: wou w v n to stisy mor onstrints usin ip-ops inst o?). Top ssinmnt s to os: q =, q =, q2 =, q =, q =, q =, q6 = Now w n onstrut t nxt-stt mps or t ssinmnt. {q,q2,q,q6} s BC q q q q2 q 9 q q2 2 8 q q2 q6 7 q q q2 q6 2 6 {q,q} {q,q,q} {q,q6} Stps to FSM Dsin Construt stt/output t rom t wor sription (or stt rp). Minimiztion: Minimiz t numr o stts (usuy ps it). ssinmnt: Coos st o stt vris n ssin os to nm stts. Sustitut t stt-vri omintions into t stt/output t to rt trnsition/output t (nxt-stt t) tt sows t sir nxt-stt vri omintion or stt/input omintion. Construt nxt-stt K-mps s n. Coos ip-op typ (.. D, J-K, T) or t stt mmory. Construt n xittion t tt sows t ip-op input xittion vus rquir to otin t sir nxt-stt vu or stt/input omintion. Driv ip-op xittion qutions rom xittion t. Driv output qutions rom trnsition/output t. Drw oi irm tt sows omintion nxt-stt n output untions s w s ip-ops. CS Nwton/Pistr CS Nwton/Pistr 8.. CS Sp 98 R. Nwton & K. Pistr
6 Guiins or Dtrminin Fip-Fop Equtions rom Nxt- Mp Typ D T EN S-R S R J-K J K Qn = Qn+= CS Nwton/Pistr Qn+= Qn = Qn+= Qn+ = Rus or ormin input mp rom nxtstt mp (2) Qn = no n no n Qn = no n ompmnt no n rp s wit s rp s wit s ompmnt no n i in wit s i in wit s ompmnt Nots: () = "on't r" (2) wys opy s rom nxt-stt mp to input mp irst () For S, Qn= n R, Qn=, i rminin ntris wit s. 8.. Fip-Fop Equtions From Nxt- Mp: Exmp Qn CS Nwton/Pistr Qn Qn Qn+ nxt-stt mp D input mp T input mp Qn Qn S Qn R S-R input mp Qn J-K input mp J K 8..2 Nxt- Mps: Dsin Exmp Coos ip-op typs: D ip-ops R ssinmnts: q =, q =, q2 =, q =, q =, q =, q6 = Construt D input mps rom nxt-stt mp, sustitutin stt os. BC BC s BC n+ Bn+ Cn+ Stps to FSM Dsin Construt stt/output t rom t wor sription (or stt rp). Minimiztion: Minimiz t numr o stts (usuy ps it). ssinmnt: Coos st o stt vris n ssin os to nm stts. Sustitut t stt-vri omintions into t stt/output t to rt trnsition/output t (nxt-stt t) tt sows t sir nxt-stt vri omintion or stt/input omintion. Construt nxt-stt K-mps s n. Coos ip-op typ (.. D, J-K, T) or t stt mmory. Construt n xittion t tt sows t ip-op input xittion vus rquir to otin t sir nxt-stt vu or stt/input omintion. Driv ip-op xittion qutions rom xittion t. Driv output qutions rom trnsition/output t. Drw oi irm tt sows omintion nxt-stt n output untions s w s ip-ops. CS Nwton/Pistr 8.. CS Nwton/Pistr 8.. Nxt- Mps: Summry o Exmp Driv Equtions rom Mps N 6 ts n t- to impmnt t min usin tis ssinmnt. Strit inry ssinmnt (q=, q=, t.) wou yi ts n 9 t-. T ppro v oo rsuts in tis xmp, ut tt is not wys t s. BC mp rom Trnsition/ T 8 9 CS Nwton/Pistr 8.. CS Nwton/Pistr 8..6 CS Sp 98 R. Nwton & K. Pistr 6
7 Stps to FSM Dsin Construt stt/output t rom t wor sription (or stt rp). Minimiztion: Minimiz t numr o stts (usuy ps it). ssinmnt: Coos st o stt vris n ssin os to nm stts. Sustitut t stt-vri omintions into t stt/output t to rt trnsition/output t (nxt-stt t) tt sows t sir nxt-stt vri omintion or stt/input omintion. Construt nxt-stt K-mps s n. Coos ip-op typ (.. D, J-K, T) or t stt mmory. Construt n xittion t tt sows t ip-op input xittion vus rquir to otin t sir nxt-stt vu or stt/input omintion. Driv ip-op xittion qutions rom xittion t. Driv output qutions rom trnsition/output t. Drw oi irm tt sows omintion nxt-stt n output untions s w s ip-ops. CS Nwton/Pistr 8..7 CS Sp 98 R. Nwton & K. Pistr 7
Present state Next state Q + M N
Qustion 1. An M-N lip-lop works s ollows: I MN=00, th nxt stt o th lip lop is 0. I MN=01, th nxt stt o th lip-lop is th sm s th prsnt stt I MN=10, th nxt stt o th lip-lop is th omplmnt o th prsnt stt I
More informationd e c b a d c b a d e c b a a c a d c c e b
FLAT PEYOTE STITCH Bin y mkin stoppr -- sw trou n pull it lon t tr until it is out 6 rom t n. Sw trou t in witout splittin t tr. You soul l to sli it up n own t tr ut it will sty in pl wn lt lon. Evn-Count
More informationMAT3707. Tutorial letter 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/201/1/2017
MAT3707/201/1/2017 Tutoril lttr 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS MAT3707 Smstr 1 Dprtmnt o Mtmtil Sins SOLUTIONS TO ASSIGNMENT 01 BARCODE Din tomorrow. univrsity o sout ri SOLUTIONS TO ASSIGNMENT
More informationlearning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms
rp loritms lrnin ojtivs loritms your sotwr systm sotwr rwr lrn wt rps r in mtmtil trms lrn ow to rprsnt rps in omputrs lrn out typil rp loritms wy rps? intuitivly, rp is orm y vrtis n s twn vrtis rps r
More informationBASIC CAGE DETAILS SHOWN 3D MODEL: PSM ASY INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SPRING FINGERS CLOSED TOP
MO: PSM SY SI TIS SOWN SPRIN INRS OS TOP INNR W TS R OIN OVR S N OVR OR RIIITY. R TURS US WIT OPTION T SINS. R (UNOMPRSS) RR S OPTION (S T ON ST ) IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+)
More informationBASIC CAGE DETAILS D C SHOWN CLOSED TOP SPRING FINGERS INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY
SI TIS SOWN OS TOP SPRIN INRS INNR W TS R OIN OVR S N OVR OR RIIITY. R IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+) TRNSIVR. R. RR S OPTION (S T ON ST ) TURS US WIT OPTION T SINS. R (INSI TO
More information16.unified Introduction to Computers and Programming. SOLUTIONS to Examination 4/30/04 9:05am - 10:00am
16.unii Introution to Computrs n Prormmin SOLUTIONS to Exmintion /30/0 9:05m - 10:00m Pro. I. Kristin Lunqvist Sprin 00 Grin Stion: Qustion 1 (5) Qustion (15) Qustion 3 (10) Qustion (35) Qustion 5 (10)
More informationOpenMx Matrices and Operators
OpnMx Mtris n Oprtors Sr Mln Mtris: t uilin loks Mny typs? Dnots r lmnt mxmtrix( typ= Zro", nrow=, nol=, nm="" ) mxmtrix( typ= Unit", nrow=, nol=, nm="" ) mxmtrix( typ= Int", nrow=, nol=, nm="" ) mxmtrix(
More informationCycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!
Outlin Computr Sin 331, Spnnin, n Surphs Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #30 1 Introution 2 3 Dinition 4 Spnnin 5 6 Mik Joson (Univrsity o Clry) Computr Sin 331 Ltur #30 1 / 20 Mik
More informationTangram Fractions Overview: Students will analyze standard and nonstandard
ACTIVITY 1 Mtrils: Stunt opis o tnrm mstrs trnsprnis o tnrm mstrs sissors PROCEDURE Skills: Dsriin n nmin polyons Stuyin onrun Comprin rtions Tnrm Frtions Ovrviw: Stunts will nlyz stnr n nonstnr tnrms
More informationComplete Solutions for MATH 3012 Quiz 2, October 25, 2011, WTT
Complt Solutions or MATH 012 Quiz 2, Otor 25, 2011, WTT Not. T nswrs ivn r r mor omplt tn is xpt on n tul xm. It is intn tt t mor omprnsiv solutions prsnt r will vlul to stunts in stuyin or t inl xm. In
More informationGrade 7/8 Math Circles March 4/5, Graph Theory I- Solutions
ulty o Mtmtis Wtrloo, Ontrio N ntr or ution in Mtmtis n omputin r / Mt irls Mr /, 0 rp Tory - Solutions * inits lln qustion. Tr t ollowin wlks on t rp low. or on, stt wtr it is pt? ow o you know? () n
More information1 Introduction to Modulo 7 Arithmetic
1 Introution to Moulo 7 Arithmti Bor w try our hn t solvin som hr Moulr KnKns, lt s tk los look t on moulr rithmti, mo 7 rithmti. You ll s in this sminr tht rithmti moulo prim is quit irnt rom th ons w
More information, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management
nrl tr T is init st o on or mor nos suh tht thr is on sint no r, ll th root o T, n th rminin nos r prtition into n isjoint susts T, T,, T n, h o whih is tr, n whos roots r, r,, r n, rsptivly, r hilrn o
More information(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely
. DETERMINANT.. Dtrminnt. Introution:I you think row vtor o mtrix s oorint o vtors in sp, thn th gomtri mning o th rnk o th mtrix is th imnsion o th prlllppi spnn y thm. But w r not only r out th imnsion,
More informationCS 103 BFS Alorithm. Mark Redekopp
CS 3 BFS Aloritm Mrk Rkopp Brt-First Sr (BFS) HIGHLIGHTED ALGORITHM 3 Pt Plnnin W'v sn BFS in t ontxt o inin t sortst pt trou mz? S?? 4 Pt Plnnin W xplor t 4 niors s on irtion 3 3 3 S 3 3 3 3 3 F I you
More informationECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS
C 24 - COMBINATIONAL BUILDING BLOCKS - INVST 3 DCODS AND NCODS FALL 23 AP FLZ To o "wll" on this invstition you must not only t th riht nswrs ut must lso o nt, omplt n onis writups tht mk ovious wht h
More informationDesigning A Uniformly Loaded Arch Or Cable
Dsinin A Unirmy Ar Or C T pr wit tis ssn, i n t Nxt uttn r r t t tp ny p. Wn yu r n wit tis ssn, i n t Cntnts uttn r r t t tp ny p t rturn t t ist ssns. Tis is t Mx Eyt Bri in Stuttrt, Grmny, sin y Si
More informationMath 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4
Mt 166 WIR, Sprin 2012, Bnjmin urisp Mt 166 Wk in Rviw 2 Stions 1.1, 1.2, 1.3, & 1.4 1. S t pproprit rions in Vnn irm tt orrspon to o t ollowin sts. () (B ) B () ( ) B B () (B ) B 1 Mt 166 WIR, Sprin 2012,
More information5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees
/1/018 W usully no strns y ssnn -lnt os to ll rtrs n t lpt (or mpl, 8-t on n ASCII). Howvr, rnt rtrs our wt rnt rquns, w n sv mmory n ru trnsmttl tm y usn vrl-lnt non. T s to ssn sortr os to rtrs tt our
More informationIn which direction do compass needles always align? Why?
AQA Trloy Unt 6.7 Mntsm n Eltromntsm - Hr 1 Complt t p ll: Mnt or s typ o or n t s stronst t t o t mnt. Tr r two typs o mnt pol: n. Wrt wt woul ppn twn t pols n o t mnt ntrtons low: Drw t mnt l lns on
More informationEdge-Triggered D Flip-flop. Formal Analysis. Fundamental-Mode Sequential Circuits. D latch: How do flip-flops work?
E-Trir D Flip-Flop Funamntal-Mo Squntial Ciruits PR A How o lip-lops work? How to analys aviour o lip-lops? R How to sin unamntal-mo iruits? Funamntal mo rstrition - only on input an an at a tim; iruit
More information24CKT POLARIZATION OPTIONS SHOWN BELOW ARE REPRESENTATIVE FOR 16 AND 20CKT
0 NOTS: VI UNSS OTRWIS SPII IRUIT SMT USR R PORIZTION OPTION IRUIT SMT USR R PORIZTION OPTION IRUIT SMT USR R PORIZTION OPTION. NR: a. PPITION SPIITION S: S--00 b. PROUT SPIITION S: PS--00 c. PIN SPIITION
More informationClosed Monochromatic Bishops Tours
Cos Monoromt Bsops Tours Jo DMo Dprtmnt o Mtmts n Sttsts Knnsw Stt Unvrsty, Knnsw, Gor, 0, USA mo@nnsw.u My, 00 Astrt In ss, t sop s unqu s t s o to sn oor on t n wt or. Ts ms os tour n w t sop vsts vry
More informationQUESTIONS BEGIN HERE!
Points miss: Stunt's Nm: Totl sor: /100 points Est Tnnss Stt Univrsity Dprtmnt of Computr n Informtion Sins CSCI 710 (Trnoff) Disrt Struturs TEST for Fll Smstr, 00 R this for strtin! This tst is los ook
More informationQUESTIONS BEGIN HERE!
Points miss: Stunt's Nm: Totl sor: /100 points Est Tnnss Stt Univrsity Dprtmnt o Computr n Inormtion Sins CSCI 2710 (Trno) Disrt Struturs TEST or Sprin Smstr, 2005 R this or strtin! This tst is los ook
More informationVLSI Testing Assignment 2
1. 5-vlu D-clculus trut tbl or t XOR unction: XOR 0 1 X D ~D 0 0 1 X D ~D 1 1 0 X ~D D X X X X X X D D ~D X 0 1 ~D ~D D X 1 0 Tbl 1: 5-vlu D-clculus Trut Tbl or t XOR Function Sinc 2-input XOR t wors s
More informationDivided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano
RIGHT-ANGLE WEAVE Dv mons Mm t look o ts n rlt tt s ptvly p sn y Py Brnkmn Mttlno Dv your mons nto trnls o two or our olors. FCT-SCON0216_BNB66 2012 Klm Pulsn Co. Ts mtrl my not rprou n ny orm wtout prmsson
More informationPaths. Connectivity. Euler and Hamilton Paths. Planar graphs.
Pths.. Eulr n Hmilton Pths.. Pth D. A pth rom s to t is squn o gs {x 0, x 1 }, {x 1, x 2 },... {x n 1, x n }, whr x 0 = s, n x n = t. D. Th lngth o pth is th numr o gs in it. {, } {, } {, } {, } {, } {,
More informationb. How many ternary words of length 23 with eight 0 s, nine 1 s and six 2 s?
MATH 3012 Finl Exm, My 4, 2006, WTT Stunt Nm n ID Numr 1. All our prts o this prolm r onrn with trnry strings o lngth n, i.., wors o lngth n with lttrs rom th lpht {0, 1, 2}.. How mny trnry wors o lngth
More informationCSE 373. Graphs 1: Concepts, Depth/Breadth-First Search reading: Weiss Ch. 9. slides created by Marty Stepp
CSE 373 Grphs 1: Conpts, Dpth/Brth-First Srh ring: Wiss Ch. 9 slis rt y Mrty Stpp http://www.s.wshington.u/373/ Univrsity o Wshington, ll rights rsrv. 1 Wht is grph? 56 Tokyo Sttl Soul 128 16 30 181 140
More informationSeven-Segment Display Driver
7-Smnt Disply Drivr, Ron s in 7-Smnt Disply Drivr, Ron s in Prolm 62. 00 0 0 00 0000 000 00 000 0 000 00 0 00 00 0 0 0 000 00 0 00 BCD Diits in inry Dsin Drivr Loi 4 inputs, 7 outputs 7 mps, h with 6 on
More informationDFA Minimization. DFA minimization: the idea. Not in Sipser. Background: Questions: Assignments: Previously: Today: Then:
Assinmnts: DFA Minimiztion CMPU 24 Lnu Tory n Computtion Fll 28 Assinmnt 3 out toy. Prviously: Computtionl mols or t rulr lnus: DFAs, NFAs, rulr xprssions. Toy: How o w in t miniml DFA or lnu? Tis is t
More informationThe University of Sydney MATH 2009
T Unvrsty o Syny MATH 2009 APH THEOY Tutorl 7 Solutons 2004 1. Lt t sonnt plnr rp sown. Drw ts ul, n t ul o t ul ( ). Sow tt s sonnt plnr rp, tn s onnt. Du tt ( ) s not somorp to. ( ) A onnt rp s on n
More informationOutline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example
Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim's Alorithm Introution Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #33 3 Alorithm Gnrl Constrution Mik Joson (Univrsity o Clry)
More informationDesigning A Concrete Arch Bridge
This is th mous Shwnh ri in Switzrln, sin y Rort Millrt in 1933. It spns 37.4 mtrs (122 t) n ws sin usin th sm rphil mths tht will monstrt in this lsson. To pro with this lsson, lik on th Nxt utton hr
More informationOrganization. Dominators. Control-flow graphs 8/30/2010. Dominators, control-dependence. Dominator relation of CFGs
Orniztion Domintors, ontrol-pnn n SSA orm Domintor rltion o CFGs postomintor rltion Domintor tr Computin omintor rltion n tr Dtlow lorithm Lnur n Trjn lorithm Control-pnn rltion SSA orm Control-low rphs
More informationLecture 20: Minimum Spanning Trees (CLRS 23)
Ltur 0: Mnmum Spnnn Trs (CLRS 3) Jun, 00 Grps Lst tm w n (wt) rps (unrt/rt) n ntrou s rp voulry (vrtx,, r, pt, onnt omponnts,... ) W lso suss jny lst n jny mtrx rprsntton W wll us jny lst rprsntton unlss
More informationWalk Like a Mathematician Learning Task:
Gori Dprtmnt of Euction Wlk Lik Mthmticin Lrnin Tsk: Mtrics llow us to prform mny usful mthmticl tsks which orinrily rquir lr numbr of computtions. Som typs of problms which cn b on fficintly with mtrics
More informationCMPS 2200 Fall Graphs. Carola Wenk. Slides courtesy of Charles Leiserson with changes and additions by Carola Wenk
CMPS 2200 Fll 2017 Grps Crol Wnk Sls ourtsy o Crls Lsrson wt ns n tons y Crol Wnk 10/23/17 CMPS 2200 Intro. to Alortms 1 Grps Dnton. A rt rp (rp) G = (V, E) s n orr pr onsstn o st V o vrts (snulr: vrtx),
More informationTesting Digital Systems. CPE/EE 428, CPE 528 Testing Combinational Logic (3) Testing Digital Systems: Detection. Testing Digital Systems: Detection
Tstin iit Systms CPE/EE 428, CPE 528 Tstin Comintion Loi (3) Comintion vs Squnti Systms W sh ovr omintion first Squnti iruits n tst usin omintion tst nrtion n sn hins Th stt FF sr onnt in shift ristr.
More informationImproving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e)
POW CSE 36: Dt Struturs Top #10 T Dynm (Equvln) Duo: Unon-y-Sz & Pt Comprsson Wk!! Luk MDowll Summr Qurtr 003 M! ZING Wt s Goo Mz? Mz Construton lortm Gvn: ollton o rooms V Conntons twn t rooms (ntlly
More informationOutline. Computer Science 331. Computation of Min-Cost Spanning Trees. Costs of Spanning Trees in Weighted Graphs
Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim s Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #34 Introution Min-Cost Spnnin Trs 3 Gnrl Constrution 4 5 Trmintion n Eiiny 6 Aitionl
More informationEE1000 Project 4 Digital Volt Meter
Ovrviw EE1000 Projt 4 Diitl Volt Mtr In this projt, w mk vi tht n msur volts in th rn o 0 to 4 Volts with on iit o ury. Th input is n nlo volt n th output is sinl 7-smnt iit tht tlls us wht tht input s
More informationCSC Design and Analysis of Algorithms. Example: Change-Making Problem
CSC 801- Dsign n Anlysis of Algorithms Ltur 11 Gry Thniqu Exmpl: Chng-Mking Prolm Givn unlimit mounts of oins of nomintions 1 > > m, giv hng for mount n with th lst numr of oins Exmpl: 1 = 25, 2 =10, =
More informationCS September 2018
Loil los Distriut Systms 06. Loil los Assin squn numrs to msss All ooprtin prosss n r on orr o vnts vs. physil los: rport tim o y Assum no ntrl tim sour Eh systm mintins its own lol lo No totl orrin o
More information(4, 2)-choosability of planar graphs with forbidden structures
1 (4, )-oosility o plnr rps wit orin struturs 4 5 Znr Brikkyzy 1 Cristopr Cox Mil Diryko 1 Kirstn Honson 1 Moit Kumt 1 Brnr Liiký 1, Ky Mssrsmit 1 Kvin Moss 1 Ktln Nowk 1 Kvin F. Plmowski 1 Drrik Stol
More informationAn undirected graph G = (V, E) V a set of vertices E a set of unordered edges (v,w) where v, w in V
Unirt Grphs An unirt grph G = (V, E) V st o vrtis E st o unorr gs (v,w) whr v, w in V USE: to mol symmtri rltionships twn ntitis vrtis v n w r jnt i thr is n g (v,w) [or (w,v)] th g (v,w) is inint upon
More informationFunctions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d)
Functions nd Grps. () () (c) - - - O - - - O - - - O - - - - (d) () (f) - - O - 7 6 - - O - -7-6 - - - - - O. () () (c) (d) - - - O - O - O - - O - -. () G() f() + f( ), G(-) f( ) + f(), G() G( ) nd G()
More informationConstructive Geometric Constraint Solving
Construtiv Gomtri Constrint Solving Antoni Soto i Rir Dprtmnt Llngutgs i Sistms Inormàtis Univrsitt Politèni Ctluny Brlon, Sptmr 2002 CGCS p.1/37 Prliminris CGCS p.2/37 Gomtri onstrint prolm C 2 D L BC
More informationDepth First Search. Yufei Tao. Department of Computer Science and Engineering Chinese University of Hong Kong
Dprtmnt o Computr Sn n Ennrn Cns Unvrsty o Hon Kon W v lry lrn rt rst sr (BFS). Toy, w wll suss ts sstr vrson : t pt rst sr (DFS) lortm. Our susson wll on n ous on rt rps, us t xtnson to unrt rps s strtorwr.
More informationMath 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.
Nm: UCA ID Numr: Stion lttr: th 61 : Disrt Struturs Finl Exm Instrutor: Ciprin nolsu You hv 180 minuts. No ooks, nots or lultors r llow. Do not us your own srth ppr. 1. (2 points h) Tru/Fls: Cirl th right
More informationOutline. Binary Tree
Outlin Similrity Srh Th Binry Brnh Distn Nikolus Austn nikolus.ustn@s..t Dpt. o Computr Sins Univrsity o Slzur http://rsrh.uni-slzur.t 1 Binry Brnh Distn Binry Rprsnttion o Tr Binry Brnhs Lowr Boun or
More informationSolutions for HW11. Exercise 34. (a) Use the recurrence relation t(g) = t(g e) + t(g/e) to count the number of spanning trees of v 1
Solutions for HW Exris. () Us th rurrn rltion t(g) = t(g ) + t(g/) to ount th numr of spnning trs of v v v u u u Rmmr to kp multipl gs!! First rrw G so tht non of th gs ross: v u v Rursing on = (v, u ):
More informationSheet Title: Building Renderings M. AS SHOWN Status: A.R.H.P.B. SUBMITTAL August 9, :07 pm
1 2 3 4 5 6 7 8 9 1 11 12 13 14 15 16 17 18 19 orthstar expressly reserves its common law copyright and other property rights for all ideas, provisions and plans represented or indicated by these drawings,
More informationPlanar convex hulls (I)
Covx Hu Covxty Gv st P o ots 2D, tr ovx u s t sst ovx oyo tt ots ots o P A oyo P s ovx or y, P, t st s try P. Pr ovx us (I) Coutto Gotry [s 3250] Lur To Bowo Co ovx o-ovx 1 2 3 Covx Hu Covx Hu Covx Hu
More informationIntegration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals
Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion
More informationThe University of Sydney MATH2969/2069. Graph Theory Tutorial 5 (Week 12) Solutions 2008
Th Univrsity o Syny MATH2969/2069 Grph Thory Tutoril 5 (Wk 12) Solutions 2008 1. (i) Lt G th isonnt plnr grph shown. Drw its ul G, n th ul o th ul (G ). (ii) Show tht i G is isonnt plnr grph, thn G is
More informationOn Hamiltonian Tetrahedralizations Of Convex Polyhedra
O Ht Ttrrzts O Cvx Pyr Frs C 1 Q-Hu D 2 C A W 3 1 Dprtt Cputr S T Uvrsty H K, H K, C. E: @s.u. 2 R & TV Trsss Ctr, Hu, C. E: q@163.t 3 Dprtt Cputr S, Mr Uvrsty Nwu St. J s, Nwu, C A1B 35. E: w@r.s.u. Astrt
More informationComputer Graphics. Viewing & Projections
Vw & Ovrvw rr : rss r t -vw trsrt: st st, rr w.r.t. r rqurs r rr (rt syst) rt: 2 trsrt st, rt trsrt t 2D rqurs t r y rt rts ss Rr P usuy st try trsrt t wr rts t rs t surs trsrt t r rts u rt w.r.t. vw vu
More informationWeighted Graphs. Weighted graphs may be either directed or undirected.
1 In mny ppltons, o rp s n ssot numrl vlu, ll wt. Usully, t wts r nonntv ntrs. Wt rps my tr rt or unrt. T wt o n s otn rrr to s t "ost" o t. In ppltons, t wt my msur o t lnt o rout, t pty o ln, t nry rqur
More informationHaving a glimpse of some of the possibilities for solutions of linear systems, we move to methods of finding these solutions. The basic idea we shall
Hvn lps o so o t posslts or solutons o lnr systs, w ov to tos o nn ts solutons. T s w sll us s to try to sply t syst y lntn so o t vrls n so ts qutons. Tus, w rr to t to s lnton. T prry oprton nvolv s
More informationCSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018
CSE 373: Mor on grphs; DFS n BFS Mihl L Wnsy, F 14, 2018 1 Wrmup Wrmup: Disuss with your nighor: Rmin your nighor: wht is simpl grph? Suppos w hv simpl, irt grph with x nos. Wht is th mximum numr of gs
More information4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling.
Cptr 4 4 Intrvl Suln Gry Alortms Sls y Kvn Wyn Copyrt 005 Prson-Ason Wsly All rts rsrv Intrvl Suln Intrvl Suln: Gry Alortms Intrvl suln! Jo strts t s n nss t! Two os omptl ty on't ovrlp! Gol: n mxmum sust
More informationGraphs. Graphs. Graphs: Basic Terminology. Directed Graphs. Dr Papalaskari 1
CSC 00 Disrt Struturs : Introuon to Grph Thory Grphs Grphs CSC 00 Disrt Struturs Villnov Univrsity Grphs r isrt struturs onsisng o vrs n gs tht onnt ths vrs. Grphs n us to mol: omputr systms/ntworks mthml
More informationExperiment # 3 Introduction to Digital Logic Simulation and Xilinx Schematic Editor
EE2L - Introution to Diitl Ciruits Exprimnt # 3 Exprimnt # 3 Introution to Diitl Loi Simultion n Xilinx Smti Eitor. Synopsis: Tis l introus CAD tool (Computr Ai Dsin tool) ll Xilinx Smti Eitor, wi is us
More informationMultipoint Alternate Marking method for passive and hybrid performance monitoring
Multipoint Altrnt Mrkin mtho or pssiv n hyri prormn monitorin rt-iool-ippm-multipoint-lt-mrk-00 Pru, Jul 2017, IETF 99 Giuspp Fiool (Tlom Itli) Muro Coilio (Tlom Itli) Amo Spio (Politnio i Torino) Riro
More informationCOMP 250. Lecture 29. graph traversal. Nov. 15/16, 2017
COMP 250 Ltur 29 rp trvrsl Nov. 15/16, 2017 1 Toy Rursv rp trvrsl pt rst Non-rursv rp trvrsl pt rst rt rst 2 Hs up! Tr wr w mstks n t sls or S. 001 or toy s ltur. So you r ollown t ltur rorns n usn ts
More informationModule graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura
Moul grph.py CS 231 Nomi Nishimur 1 Introution Just lik th Python list n th Python itionry provi wys of storing, ssing, n moifying t, grph n viw s wy of storing, ssing, n moifying t. Bus Python os not
More informationECE Experiment #4 Seven Segment Display Interfacing and Timing
ECE 367 - Exprimnt #4 Svn Smnt Disply Intrfin n Timin Sprin 2006 Smstr Introution This xprimnt rquirs tht you onstrut iruit intrfin th MiroStmp11 moul with svn smnt isply, n writ ssmly lnu o to ontinuously
More information(Minimum) Spanning Trees
(Mnmum) Spnnn Trs Spnnn trs Kruskl's lortm Novmr 23, 2017 Cn Hrn / Gory Tn 1 Spnnn trs Gvn G = V, E, spnnn tr o G s onnt surp o G wt xtly V 1 s mnml sust o s tt onnts ll t vrts o G G = Spnnn trs Novmr
More informationSpanning Trees. BFS, DFS spanning tree Minimum spanning tree. March 28, 2018 Cinda Heeren / Geoffrey Tien 1
Spnnn Trs BFS, DFS spnnn tr Mnmum spnnn tr Mr 28, 2018 Cn Hrn / Gory Tn 1 Dpt-rst sr Vsts vrts lon snl pt s r s t n o, n tn ktrks to t rst junton n rsums own notr pt Mr 28, 2018 Cn Hrn / Gory Tn 2 Dpt-rst
More informationROSEMOUNT 3051SAM SCALABLE PRESSURE TRANSMITTER COPLANAR FLANGE PROCESS CONNECTION
ROSOUNT 3051S S PRSSUR TRNSITTR OPNR N PROSS ONNTION RVISION T RVISION O NO. PP' T RT1066757 N. STOS 10/21/2016 SRIPTION IN-IN V S PNTW OUSIN SOWN WIT OPTION IIT ISPY (PRIRY) PNTW OUSIN (PRIRY) RTIITION
More informationROOM NAME A2.0 A1.10 3'-8" UNIT 2A PROVIDE PERFORATED AND SLEEVED PIPE FOR CONNECTION TO FUTURE RADON MITIGATION SYSTEM. UNIT 1A UNIT 1A 104
IRST OOR OMMON OOR & RM SU IRST OOR OMMON R INIS SU OOR NO. NM OOR RM TYP PIR WIT IT MT' TYP MT' RTIN T RWR 00- VSTIU N '-0" '-" UM - UM - YS PNI VI/NTRY UNTION, OSR 00- VSTIU N '-0" '-" UM - UM - YS PNI
More informationCENTER POINT MEDICAL CENTER
T TRI WTR / IR RISR S STR SRST I TT, SUIT SRST, RI () X () VUU T I Y R VU, SUIT 00 T, RI 0 () 00 X () RISTRTI UR 000 "/0 STY RR I URT VU RT STY RR, RI () 0 X () 00 "/0 STIR # '" TRV IST TRI UIIS UII S,
More informationA Simple Code Generator. Code generation Algorithm. Register and Address Descriptors. Example 3/31/2008. Code Generation
A Simpl Co Gnrtor Co Gnrtion Chptr 8 II Gnrt o for singl si lok How to us rgistrs? In most mhin rhitturs, som or ll of th oprnsmust in rgistrs Rgistrs mk goo tmporris Hol vlus tht r omput in on si lok
More informationMinimum Spanning Trees
Yufi Tao ITEE Univrsity of Qunslan In tis lctur, w will stuy anotr classic prolm: finin a minimum spannin tr of an unirct wit rap. Intrstinly, vn tou t prolm appars ratr iffrnt from SSSP (sinl sourc sortst
More information12. Traffic engineering
lt2.ppt S-38. Introution to Tltrffi Thory Spring 200 2 Topology Pths A tlommunition ntwork onsists of nos n links Lt N not th st of nos in with n Lt J not th st of nos in with j N = {,,,,} J = {,2,3,,2}
More informationGraphs. CSC 1300 Discrete Structures Villanova University. Villanova CSC Dr Papalaskari
Grphs CSC 1300 Disrt Struturs Villnov Univrsity Grphs Grphs r isrt struturs onsis?ng of vr?s n gs tht onnt ths vr?s. Grphs n us to mol: omputr systms/ntworks mthm?l rl?ons logi iruit lyout jos/prosss f
More informationExam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013
CS Avn Dt Struturs n Algorithms Exm Solution Jon Turnr //. ( points) Suppos you r givn grph G=(V,E) with g wights w() n minimum spnning tr T o G. Now, suppos nw g {u,v} is to G. Dsri (in wors) mtho or
More informationTheorem 1. An undirected graph is a tree if and only if there is a unique simple path between any two of its vertices.
Cptr 11: Trs 11.1 - Introuton to Trs Dnton 1 (Tr). A tr s onnt unrt rp wt no sp ruts. Tor 1. An unrt rp s tr n ony tr s unqu sp pt twn ny two o ts vrts. Dnton 2. A root tr s tr n w on vrtx s n snt s t
More informationIndices. Indices. Curriculum Ready ACMNA: 209, 210, 212,
Inis Inis Curriulum Ry ACMNA: 09, 0,, 6 www.mtltis.om Inis INDICES Inis is t plurl or inx. An inx is us to writ prouts o numrs or pronumrls sily. For xmpl is tully sortr wy o writin #. T is t inx. Anotr
More informationGREEDY TECHNIQUE. Greedy method vs. Dynamic programming method:
Dinition: GREEDY TECHNIQUE Gry thniqu is gnrl lgorithm sign strtgy, uilt on ollowing lmnts: onigurtions: irnt hois, vlus to in ojtiv untion: som onigurtions to ithr mximiz or minimiz Th mtho: Applil to
More information3 a 15a 6 b 21a 5 c 30a 6 d 12a 9. e 125a 8 f 36a 12 g 90a 13 h 56a a 6a b 5 c 3a 4 d 6a 4. e 10a 4 f 8a 2 g 5a 4 h 12a 2
Answrs Cptr Workin wit surs Eris A Surs 8 6 6 8 6 6 6 + 6 8 6 6 6 6 + 8 + + 8 6 9 6 m ( + m Cptr Simpliin prssions usin t lws o inis Eris A Inis 9 i j 6 k 8 l 6 6 i j k l 6 6 9 8 6 9 6 6 6 8 8 6 9 8 8
More informationAlgorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph
Intrntionl J.Mth. Comin. Vol.1(2014), 80-86 Algorithmi n NP-Compltnss Aspts of Totl Lit Domintion Numr of Grph Girish.V.R. (PES Institut of Thnology(South Cmpus), Bnglor, Krntk Stt, Ini) P.Ush (Dprtmnt
More informationTelecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4"C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48" AFF.
0 NOOY SYMO S N NOOY NOS: NO: his is a standard symbol list and not all items listed may be used. bbreviations () XSN OV NS OO NMW - UNOUN ONU OY ONO UNS ONO NS O ONO UNS OWN NS OX OX U OP SUON UN OO,
More informationNefertiti. Echoes of. Regal components evoke visions of the past MULTIPLE STITCHES. designed by Helena Tang-Lim
MULTIPLE STITCHES Nrtiti Ehos o Rgl omponnts vok visions o th pst sign y Hln Tng-Lim Us vrity o stiths to rt this rgl yt wrl sign. Prt sping llows squr s to mk roun omponnts tht rp utiully. FCT-SC-030617-07
More informationECE Experiment #6 Kitchen Timer
ECE 367 - Exprimnt #6 Kithn Timr Sprin 2006 Smstr Introution This xprimnt hs you onstrut iruit intrfin nin I/O lins from th 68HC11 with two svn smnt isplys n mtrix kyp, n writ ssmbly lnu o to rliz prormmbl
More information12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)
12/3/12 Outlin Prt 10. Grphs CS 200 Algorithms n Dt Struturs Introution Trminology Implmnting Grphs Grph Trvrsls Topologil Sorting Shortst Pths Spnning Trs Minimum Spnning Trs Ciruits 1 Ciruits Cyl 2 Eulr
More informationCS 461, Lecture 17. Today s Outline. Example Run
Prim s Algorithm CS 461, Ltur 17 Jr Si Univrsity o Nw Mxio In Prim s lgorithm, th st A mintin y th lgorithm orms singl tr. Th tr strts rom n ritrry root vrtx n grows until it spns ll th vrtis in V At h
More information5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs
Prt 10. Grphs CS 200 Algorithms n Dt Struturs 1 Introution Trminology Implmnting Grphs Outlin Grph Trvrsls Topologil Sorting Shortst Pths Spnning Trs Minimum Spnning Trs Ciruits 2 Ciruits Cyl A spil yl
More informationUsing the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas
SnNCutCnvs Using th Printl Stikr Funtion On-o--kin stikrs n sily rt y using your inkjt printr n th Dirt Cut untion o th SnNCut mhin. For inormtion on si oprtions o th SnNCutCnvs, rr to th Hlp. To viw th
More information24.1 Sex-Linked Inheritance. Chapter 24 Chromosomal Basis of Inheritance Sex-Linked Inheritance Sex-Linked Inheritance
ptr 24 romosoml sis o Inritn 24. Sx-Link Inritn Normlly, ot mls n mls v 23 pirs o romosoms 22 pirs r ll utosoms On pir is t sx romosoms Mls r XY mls r XX opyrit T Mrw-Hill ompnis, In. Prmission rquir or
More informationCS553 Lecture Register Allocation I 3
Low-Lvl Issus Last ltur Intrproural analysis Toay Start low-lvl issus Rgistr alloation Latr Mor rgistr alloation Instrution shuling CS553 Ltur Rgistr Alloation I 2 Rgistr Alloation Prolm Assign an unoun
More informationGraph Isomorphism. Graphs - II. Cayley s Formula. Planar Graphs. Outline. Is K 5 planar? The number of labeled trees on n nodes is n n-2
Grt Thortil Is In Computr Sin Vitor Amhik CS 15-251 Ltur 9 Grphs - II Crngi Mllon Univrsity Grph Isomorphism finition. Two simpl grphs G n H r isomorphi G H if thr is vrtx ijtion V H ->V G tht prsrvs jny
More informationXML and Databases. Outline. Recall: Top-Down Evaluation of Simple Paths. Recall: Top-Down Evaluation of Simple Paths. Sebastian Maneth NICTA and UNSW
Smll Pth Quiz ML n Dtss Cn you giv n xprssion tht rturns th lst / irst ourrn o h istint pri lmnt? Ltur 8 Strming Evlution: how muh mmory o you n? Sstin Mnth NICTA n UNSW
More information# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.
How os it work? Pl vlu o imls rprsnt prts o whol numr or ojt # 0 000 Tns o thousns # 000 # 00 Thousns Hunrs Tns Ons # 0 Diml point st iml pl: ' 0 # 0 on tnth n iml pl: ' 0 # 00 on hunrth r iml pl: ' 0
More informationCS 241 Analysis of Algorithms
CS 241 Anlysis o Algorithms Prossor Eri Aron Ltur T Th 9:00m Ltur Mting Lotion: OLB 205 Businss HW6 u lry HW7 out tr Thnksgiving Ring: Ch. 22.1-22.3 1 Grphs (S S. B.4) Grphs ommonly rprsnt onntions mong
More informationSection 10.4 Connectivity (up to paths and isomorphism, not including)
Toy w will isuss two stions: Stion 10.3 Rprsnting Grphs n Grph Isomorphism Stion 10.4 Conntivity (up to pths n isomorphism, not inluing) 1 10.3 Rprsnting Grphs n Grph Isomorphism Whn w r working on n lgorithm
More informationCS200: Graphs. Graphs. Directed Graphs. Graphs/Networks Around Us. What can this represent? Sometimes we want to represent directionality:
CS2: Grphs Prihr Ch. 4 Rosn Ch. Grphs A olltion of nos n gs Wht n this rprsnt? n A omputr ntwork n Astrtion of mp n Soil ntwork CS2 - Hsh Tls 2 Dirt Grphs Grphs/Ntworks Aroun Us A olltion of nos n irt
More information