S i m p l i f y i n g A l g e b r a SIMPLIFYING ALGEBRA.

Size: px
Start display at page:

Download "S i m p l i f y i n g A l g e b r a SIMPLIFYING ALGEBRA."

Transcription

1 S i m p l i y i n g A l g r SIMPLIFYING ALGEBRA

2

3 Simpliying SIMPLIFYING Algr ALGEBRA Algr is mthmtis with mor thn just numrs. Numrs hv ix vlu, ut lgr introus vrils whos vlus n hng. Ths r rprsnt y lttrs. Although thy work similrly to numrs it is importnt to wr o how to, sutrt, multiply n ivi xprssions ontining vrils. Answr ths qustions, or working through th hptr. I us to think: Wht is th irn twn lik n unlik trms? Writ n xmpl xplining th istriution proprty Wht is inomil prout? Answr ths qustions, tr working through th hptr. But now I think: Wht is th irn twn lik n unlik trms? Writ n xmpl xplining th istriution proprty Wht is inomil prout? Wht o I know now tht I in t know or? 100% Simpliying Algr J 5 1 Mthltis 100% P Lrning SERIES TOPIC

4 Simpliying Algr Bsis Lik Trms Trms with th sm vrils n inis r ll lik trms. I inis or vrils ir thy r ll unlik trms. Exmpls o lik n unlik trms Lik Trms p n p xy n 7xy Unlik Trms 5m n n n Dirnt virls Dirnt inis Only lik trms n or sutrt. Simpliy th ollowing s muh s possil Lik trms Lik trms This n't simplii nymor us ths r unlik trms. Multiplying Trms It s sy to s tht # 6 n # 6, so it osn't mttr in whih orr n r multipli. This is lwys tru! In ny sitution # #. This is vn tru i mor thn two trms r multipli: # # # # # #. This mns xy yx n thy r lik trms. r ll qul n r lso lik trms. Th tims sign ^# h is ropp in multipltion o irnt trms. So # x x, # n x # y # z xyz Th oiints r lwys multipli sprtly. Hr r som mor xmpls. Writ th ollowing prouts using lgr m # n mn p # q # r Coiints multipli sprtly ^ # h # p # q # r 8pqr 6xy # x y ^6 # h # ^x # x h^y # y h 18x y Coiints multipli sprtly J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

5 Simpliying Algr Bsis Ruls or Multiplition Whn trms hv th sm sign thir prout is positiv, whn thy hv irnt signs thir prout is ngtiv. + # + + Positiv # Positiv Positiv + # - - Positiv # Ngtiv Ngtiv - # + - Ngtiv # Positiv Ngtiv - # - + Ngtiv # Ngtiv Positiv Hr r som xmpls o multiplying with signs Simpliy th ollowing -7 # ^-7 # h # ^ # h -1 -x #-5y ^- #-5h # ^x # yh 15xy -m # n #-5p -5t #-u #-v ^- # #-5h # ^m # n # ph ^-5 #- #-1h # ^t # u # vh 0mnp -0tuv Th mil stps o n n skipp i you rmmr this rul: I thr r n vn mount o ngtivs thn th prout is positiv. I thr r n o mount o ngtivs thn th prout is ngtiv. Orr o Oprtions Rmmr tht rkts n multiplition (n ivision) r lwys on or ition n sutrtion. Simpliy th ollowing s muh s possil xy + x #-y -5 # - 6 #-7 Multiplition FIRST Multiplition FIRST Multiplition FIRST xy - 8xy (-) Simpliy lik trms -(-) -5xy % Simpliying Algr J 5 Mthltis 100% P Lrning SERIES TOPIC

6 Simpliying Algr Bsis 1. Sy i ths r lik or unlik trms n n pq n qp n. Complt th ollowing # # yz ghi. Us ition n sutrtion to simpliy th ollowing s muh s possil x + 5x - x jk + j + 7k + 5jk + 6k x y + xy - x + 8xy + yx J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

7 Simpliying Algr Bsis. Us multiplition n th orr o oprtions to simpliy th ollowing s muh s possil # x # 6y -5t # 5u 10p #-q 7 # #- -g # 6h #-i g -8ux #-v #-w h p #-q # r #-s i x + x # y j x #- y + xy k 5 # + #-10 l -7x # w - w #- z + wz + zw 100% Simpliying Algr J 5 5 Mthltis 100% P Lrning SERIES TOPIC

8 Simpliying Algr Knowing Mor Algri Frtions (Diviing Trms) Whn lgri trms r ivi, lgri rtions r orm. Ths n simplii y nlling lik trms. Writ th ivision s rtion. Alwys simpliy th oiints n nl th vrils whr nssry. Simpliy th ollowing s muh s possil: m ' 6m 1x ' xy Writ s rtion Writ s rtion m 6m # 6 1 m m m is in oth th numrtor n nomintor, so it n nll 1x xy 1 # y x xy y is only in th numrtor, so it is not nll. x is in th numrtor n nomintor, so x is nll Ruls or Division Algri ivision with signs hv th sm ruls s multiplition: I th trms hv th sm sign thir quotint is positiv, whn thy hv irnt signs thir quotint is ngtiv. + ' + + or + ' - - or - ' + - or - ' - + or Positiv ' Positiv Positiv Positiv ' Ngtiv Ngtiv Ngtiv ' Positiv Ngtiv Ngtiv ' Ngtiv Positiv Rmmr, lwys writ th ivision s rtion irst. Thn simpliy th oiints n nl th vrils. Simpliy th ollowing s muh s possil: 15x '-10x -0 '- Writ s rtion Writ s rtion 15x - 10x - Th oiints hv n simplii x is in oth th numrtor n nomintor, so it n nll Th nswr is ngtiv ^+ ' -h Th oiints hv n simplii n r in oth th numrtor n nomintor, so thy n nll nnot nll us it only pprs in th numrtor Th nswr is positiv ^- ' -h 6 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

9 Simpliying Algr Knowing Mor Orr o Oprtions Rmmr tht rkts n ivision (n multiplition) r lwys on or ition n sutrtion. Simpliy 6x - xy ' y 6pqr ' 1r + 7p # q xy 6x - y ivision hs n on irst 6pqr + 8pq 1r multiplition n ivision hv n on irst 6x - x pq + 8pq x 1pq Rvising Inx Lws Hr is rminr o inx lws. m n m n 1. Multiplition with inis: # +. m n Division with inis: m ' n -. m n mn Rising n inx to n inx: ^ h. Prouts ris to inis: ^h 5. Quotints ris to inis: m ` j 0 6. Th zro inx: 1 or! 0 -n 7. Ngtiv inis: 1 or -n n ` j ` j m n m n m 8. Frtionl inis: n ^ h m m m m m m n n Inx lws r us to simpliy lgri rtions. Mor thn on lw might nssry to simpliy rtion. Simpliy ^ pq h - ' ^p q h # q 7 x y # x ' y # ^ h x x y y 7-7 x 1 m y 7 x y 6 p q ' 1 # 1 q 6 p q q p q 8 # 7 100% Simpliying Algr J 5 7 Mthltis 100% P Lrning SERIES TOPIC

10 Simpliying Algr Knowing Mor Comining Inx Lws n Algri Frtions Th nxt logil stp is to mix inis n lgri rtions. Algri rtions with inis work with th sm two stps. Stp 1: Simpliy th numrtor n nomintor sprtly. Stp : Simpliy th rtion n nl vrils whr nssry. Hr r som xmpls o lgri rtion ontining inis. Simpliy s muh s possil: y # y # y y + y + y Simpliy numrtor n nomintor sprtly ^6x y zh 5 18x y z 16y 8y 6 6x y z 5 18x y z Simpliy numrtor n nomintor sprtly y - 1 Simpliy rtion using inx lws or ivision x y z Simpliy rtion using inx lws or ivision y x -1 y z y z x x is in th nomintor us its inx is ngtiv 6 8 1x y x y ^p qh # ^p q h -p q 6 8 1x y ^16x y h Frtionl inis 6 8p q # 16p q -p q 6 8 1x y x y Simpliy numrtor n nomintor sprtly p q - p q Simpliy numrtor n nomintor sprtly x y Simpliy rtion using inx lws or ivision -18p q Simpliy rtion using inx lws or ivision x y 7-18p q 8 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

11 Simpliying Algr Qustions Knowing Mor 1. Fin th quotint o th ollowing: 8 ' ' -pqr ' pr -100mn ' -0n 18wx ' -9xy -5st ' 0stu. Answr ths qustions out orr o oprtions: Simpliy # Simpliy # Is this sttmnt tru or ls: # # Is th orr o th trms in multiplition importnt? Simpliy ' Simpliy ' g Is this sttmnt tru or ls: ' ' Is th orr o th trms in ivision importnt? 100% Simpliying Algr J 5 9 Mthltis 100% P Lrning SERIES TOPIC

12 Simpliying Algr Qustions Knowing Mor. Us th orr o oprtions to simpliy ths s muh s possil: 10-0 ' 10 6xyz ' xz + 6y 1mn ' n - 6m xz # xyz ' xz 0xy ' 5x + 0yz ' 6z 15 # - 00 ' J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

13 Simpliying Algr Qustions Knowing Mor. Simpliy ths lgri rtions s muh s possil y + y + 5y y # y # y ^x h ^x h # x ^5xy h # ^x yh ^x y h ^pqh # ^- p q h -pq 9 g # ^gh ^ gh # g -qr # q r q o ^ rh 100% Simpliying Algr J 5 11 Mthltis 100% P Lrning SERIES TOPIC

14 Simpliying Algr Qustions Knowing Mor 5. Answr ths qustions - n Us th inx lw 1 to prov n n -n ` j ` j (Hint: -n -1 n ` ) j `` j j Us this rsult to simpliy this rtion - ^xy h o ^x yh 1 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

15 Simpliying Algr Using Our Knowlg Expning Brkts A trm outsi rkt is multipl with ll trms insi rkt, so tht ^ + h # + # + This proprty o multiplition with rkts is ll th 'istriution proprty'. Hr r som xmpls: Expn th ollowing ^ + xh x^5 + x + yh - # # x x # 5 x # x x # y 6 + x 5x + x + xy Thr is no irn i th numr on th outsi is ngtiv. Alwys multiply th trm outsi with ll th trms insi. Expn th ollowing -( y - 5) - p^q + 6p - 9h # y - #-5 -p # q -p # 6p -p #-9 - y + 0-6pq - 18p + 7p Somtims lik trms n simplii tr xpning rkts. Expn th ollowing ^x - x h + x^5 - xh - q^1 + p - pqh + q^p - 5pqh Lik trms Lik trms 8x - x + 15x - 6x -q - 8pq + 6pq + pq - 10pq Lik trms Lik trms x - 10x q pq pq % Simpliying Algr J 5 1 Mthltis 100% P Lrning SERIES TOPIC

16 Simpliying Algr Using Our Knowlg Multiplying Brkts Brkts n lso multipli togthr. Both trms in th irst rkt r multipli with oth trms in th son rkt. 1 ( + )( + ) Th prout o two rkts n lso thought o in this wy ( + )( + ) ( + ) + ( + ) Fin th ollowing prouts: 1 1 ( x + )( x + ) ( y + )( y - ) 1 1 ( x # x) + ( x + ) + ( # x) + ( # ) ( y # y) + ( y #- ) + ( # y) + ( #-) x + x + x + 6 6y - 8y + 9y - 1 Lik trms x + 5x + 6 6y + y - 1 Lik trms ^p + qh^ p - qh ^ - 5h^ + h ^p # ph + ^p #- qh + ^q # ph + ^q #-qh ^ # h + ^ # h + ^- 5 # h + ^-5 # h p - 8pq + pq - 1q p - 5pq - 1q 1 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

17 Simpliying Algr Qustions Using Our Knowlg 1. Expn ths rkts: 5( y + ) 6( - t) -(- - 5m) -( 9 - x) 1 ( 8 x - y) - 1 ( 16 n - m) g x^x - yh h x ^xy - yh i 5p^q + pq + ph j xy^x - y + 1h 100% Simpliying Algr J 5 15 Mthltis 100% P Lrning SERIES TOPIC

18 Simpliying Algr Qustions Using Our Knowlg. Expn ths rkts: x^ + x - y + xyh -^ h. Expn thn simpliy using lik trms: ^x - x h + x^7x - 5h ^1 - + h + ^5 - - h 5p^ q - pq h - q^p q + p - h - ^ - + 6h - (8 + - ) + 16 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

19 Simpliying Algr Qustions Using Our Knowlg. Expn n simpliy: ^x + h^x - 1h ^st + th^t - sh ^k - 1h^ - kh ^ - h^ + 6h ^x + yh^x - yh ^ - h^ + h g ^ x y - xy h^xy + xh h ^ - h^5 - h 100% Simpliying Algr J 5 17 Mthltis 100% P Lrning SERIES TOPIC

20 Simpliying Algr Using Our Knowlg Aing n Sutrting Algri Frtions Lik ll rtions, lgri rtions n only or sutrt i thy hv th sm nomintor. I th rtions lry hv ommon nomintor, thn simpliy th numrtors only. Fin th ollowing prouts: 9h - h h - h 19 5h 19 Ths rtions lry hv ommon nomintor y y y y 9y y y 1 1 is th lowst ommon nomintor o, n is th lowst ommon nomintor o n 8p q p q p - q + 6p + q 0 5q 5q is th lowst ommon nomintor o 15, 0 n 10 Somtims its iiult to in ommon nomintor. In ths situtions, th ommon nomintor n oun y multiplying th nomintors togthr. Aing n sutrting rtions with omplit nomintors 5 x m + n - m - n Stp 1: Fin ommon nomintor Stp 1: Fin ommon nomintor 7^x + h This is th prout o th originl nomintors ( m + n)( m - n) This is th prout o th originl nomintors Stp : Writ oth rtions ovr this nomintor 1 5 x 7 x + + ^ + h ^ h 7^x + h 1 + 5^x + h 7^x + h Stp : Writ oth rtions ovr this nomintor ^m - nh ^m + nh - ^m + nh^m - nh ^m + nh^m - nh ^m - nh - ^m + nh ^m + nh^m - nh Stp : Simpliy Stp : Simpliy 1 + 5x x + 1 Us th istriutiv proprty to xpn th rkt m - n - m - n m + mn - mn - n Multiply th rkts to in this nomintor 5x + 9 7x n m - n 18 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

21 Simpliying Algr Qustions Using Our Knowlg 5. Simpliy ths rtions: 7x + 5x x - 5x 1 + mn km x y y g 1 h y y - 1 p p p 100% Simpliying Algr J 5 19 Mthltis 100% P Lrning SERIES TOPIC

22 Simpliying Algr Using Our Knowlg Multiplying n Diviing Algri Frtions Multiplying n iviing lgri rtions is sy us ommon nomintor is not nssry. To multiply lgri rtions, simply multiply th numrtors n th nomintors sprtly. Fin ths prouts: y # x p # p q # y x # Multiply numrtors n nomintors sprtly p # p # q Multiply numrtors n nomintors sprtly y x p q t 5 # 10 t 7 # # t # 10 5 # t Multiply numrtors n nomintors sprtly 7 # # Multiply numrtors n nomintors sprtly 10t 5t 7 t t 6 To ivi lgri rtions, simply in th riprol o th son rtion n multiply. Fin ths quotints: x y ' ' 1 x # 16 8 y 'lip' th son rtion to in th riprol. - # 5 1 'lip' th son rtion to in th riprol. x # 16 8 # y - # 5 # 1 x 8y x y J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

23 Simpliying Algr Qustions Using Our Knowlg 6. Writ ths in simplst orm: p p # 10 mn # 10 5 n mn # 5 5 m n p q 6q # 7 p 8s t 9p 7p s # 16t # # g 5 # # 5 h -5wx y # 10 5wxy 100% Simpliying Algr J 5 1 Mthltis 100% P Lrning SERIES TOPIC

24 Simpliying Algr Qustions Using Our Knowlg 7. Writ ths in simplst orm: p q ' 6 # 5 # 9 9 ' s t 0s t ' 6 x y x y 6 7p q r ' 5 1p q r J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

25 Simpliying Algr Thinking Mor Shortuts or Multiplying Brkts A prout o two rkts it ll inomil prout. Som inomil prouts n oun mor sily thn othrs. Look t this xmpl: ^ + h^ - h Th mil trms nl h othr wy - Cn you s th shortut? Thir prout is th squr o th irst trm minus th squr o th son trm. Hr r som xmpls using this shortut: Fin ths prouts: ^x + h^x - h ^y - 5h^y + 5h ^xh -^h ^yh -^5h 1 st trm squr n trm squr 1 st trm squr n trm squr x - 9y - 5 Wht out th prt squr o rkt? Look t this xmpl: ^ + h ^ + h^ + h st trm squr # prout o trms n trm squr Cn you s th shortut? Hr r som xmpls using this shortut: Fin ths prouts: ^x + h ^x h + ^xh^h + ^h ^p - qh ^ph + ^ph^- qh + ^-qh 1 st trm squr # prout o trms n trm squr 1 st trm squr # prout o trms n trm squr x + 8x p - 16pq + q 100% Simpliying Algr J 5 Mthltis 100% P Lrning SERIES TOPIC

26 Simpliying Algr Thinking Mor Ths shortuts my sm silly or ths sir xmpls, ut thy r spilly usul or mor omplit xmpls. Fin ths prouts: x ` + - x x j` x j ^x y + pq h^x y - pq h ` -^x x j h ^x yh -^pq h 16 x - x 6 9x y - 16p q 5y - m y ^m n - nh ^5yh + ^5yh m m y y ^m n h + ^m n h^- nh + ^-nh 15y 5y + - m + 9 y y 5y y 6 m n + ^- 6m n h + 9n 6 m n - 1m n + 9n W n vn us ths ruls in lultions using tul numrs ^11 + 9h^11-9h ^0 + 6h ^0h^h 0 + ^0h^6h J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

27 Simpliying Algr Qustions Thinking Mor 1. Prov tht ^x + yh^x - yh x - y. Simpliy ths prt squrs ^p + 1h ^5x - 7yh ^-m - nh ^p - pqh 1 ` + x x j y - m y 100% Simpliying Algr J 5 5 Mthltis 100% P Lrning SERIES TOPIC

28 Simpliying Algr Qustions Thinking Mor. Simpliy ths inomil prouts: ^x + h^x - h ^5 - mh^5 + mh ^ + h^ - h ^7x + yh^7x - yh ^xy + x y h^xy - x y h ^ 10 - h^10 + h g 1 m m 1 m m ` + j` - j h y ` - y 5x j` + 5x j 6 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

29 Simpliying Algr Qustions Thinking Mor. Fin 9 n in h o th ollowing 9 ^x + h x + x + 9 ^x + h x + 1xy + 9y 9 9 ^9-5qh 16p - 0pq + 5q ^m + h m + 16mn + 5. Fin ths vlus using xpn orm: (Hint: ) 100% Simpliying Algr J 5 7 Mthltis 100% P Lrning SERIES TOPIC

30 Simpliying Algr Qustions Thinking Mor 6. A stg in stium is m up o rtngl n squr in th ollowing igrm. Th imnsions r in trms o x. x + x - Rtngl Squr x - Fin xprssion or th r o th squr in th orm o inomil prout Fin xprssion or th r o th rtngl in th orm o inomil prout Show tht th totl r o th stg is ( x - )( x + ) + ( x - ) Simpliy th xprssion or th r o th stg Fin th vlu o th r o th stg i x 5 8 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

31 Simpliying Algr Answrs Bsis: Knowing Mor: 1. Lik trms Unlik trms. Lik trms Lik trms. # # yz z y # g Fls, thy r not qul. ghi g h i # # h Ys, th nswrs r irnt. # # #. 6 19y m. 6x xyz 9y 5 j + 1k + jk y 1 x 8x y + 10xyz - x 5x y 9p q. 1 1xy g r 81-5tu -10 pq ghi 5. ` j -n ` j n 8 9x y g i k -8uvwx h 1pqrs x + xy j -xy -0 l 11zw - 7xw 1. Using Our Knowlg: 10y t 1 0m + 7 1x + Knowing Mor: x - y - n + 6m q g 8x - xy h x y yx - 5m - w y - 1 u i j 5pq + 10p q + 15p 6x y - 6xy + xy. 8 8 Tru, thy r oth 8.. x + x - xy + x y No, th nswrs r th sm. 100% Simpliying Algr Mthltis 100% P Lrning J 5 9 SERIES TOPIC

32 Simpliying Algr Answrs Using Our Knowlg: Using Our Knowlg:. - x 6x 7. 9p q pq + 1q - 18 q tx s y 9 q p r. x - 8st - s t + 1t - 6st - 8k + 1k - + k x - y - g x y + 6x y - x y - 8x y 5 h Thinking Mor: p + p + 1 5x - 70xy + 9y 9m + 1mn + n 9p + 6p q + p q 1 x + x + y - 1y + 9 y 5. x x. x m - k - n kmn 17-10x 6-1x 9-9x - 9y x y - x y g 11-1y + ^ - 1h 5y^y + 1h y p - h ^y - 1h^y + 6h p g h m 6 - m y xy 5x x p 0 m 5 mn 18q 7p 5 p s t g 6 5 h - xy 0 J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

33 Simpliying Algr Answrs Thinking Mor: y 9 p n 9 16n ^x - h ^x - h^x + h 6x - 6x % Simpliying Algr Mthltis 100% P Lrning J 5 1 SERIES TOPIC

34 Simpliying Algr Nots J 5 SERIES TOPIC 100% Simpliying Algr Mthltis 100% P Lrning

35

36

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.

# 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 information

1 Introduction to Modulo 7 Arithmetic

1 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

Indices. Indices. Curriculum Ready ACMNA: 209, 210, 212,

Indices. 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 information

Binomials and Pascal s Triangle

Binomials and Pascal s Triangle Binomils n Psl s Tringl Binomils n Psl s Tringl Curriulum R AC: 0, 0, 08 ACS: 00 www.mthltis.om Binomils n Psl s Tringl Bsis 0. Intif th prts of th polnomil: 8. (i) Th gr. Th gr is. (Sin is th highst

More information

Surds and Indices. Surds and Indices. Curriculum Ready ACMNA: 233,

Surds and Indices. Surds and Indices. Curriculum Ready ACMNA: 233, Surs n Inies Surs n Inies Curriulum Rey ACMNA:, 6 www.mthletis.om Surs SURDS & & Inies INDICES Inies n surs re very losely relte. A numer uner (squre root sign) is lle sur if the squre root n t e simplifie.

More information

8Algebraic UNCORRECTED SAMPLE PAGES. techniques. What you will learn. Australian curriculum. Chapter 8A 8B 8C 8D 8E 8F

8Algebraic UNCORRECTED SAMPLE PAGES. techniques. What you will learn. Australian curriculum. Chapter 8A 8B 8C 8D 8E 8F 8A 8B 8C 8D 8E 8F 8G 8H 8I 8J 8K Chptr Wht you will lrn 8Algri thniqus Epning inomil prouts Prt squrs n irn o prt squrs Ftorising lgri prssions Ftorising th irn o two squrs Ftoristion y grouping Ftorising

More information

Factorising FACTORISING.

Factorising FACTORISING. Ftorising FACTORISING www.mthletis.om.u Ftorising FACTORISING Ftorising is the opposite of expning. It is the proess of putting expressions into rkets rther thn expning them out. In this setion you will

More information

Garnir Polynomial and their Properties

Garnir Polynomial and their Properties Univrsity of Cliforni, Dvis Dprtmnt of Mthmtis Grnir Polynomil n thir Proprtis Author: Yu Wng Suprvisor: Prof. Gorsky Eugny My 8, 07 Grnir Polynomil n thir Proprtis Yu Wng mil: uywng@uvis.u. In this ppr,

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

(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 information

H SERIES. Decimals. Decimals. Curriculum Ready ACMNA: 103, 128, 129, 130, 152, 154,

H SERIES. Decimals. Decimals. Curriculum Ready ACMNA: 103, 128, 129, 130, 152, 154, Dimls H SERIES Dimls Curriulum Ry ACMNA: 0, 8, 9, 0,,, www.mthltis.om Copyriht 009 P Lrnin. All rihts rsrv. First ition print 009 in Austrli. A tlou ror or this ook is vill rom P Lrnin Lt. ISBN 978--98--9

More information

Polygons POLYGONS.

Polygons POLYGONS. Polgons PLYGNS www.mthltis.o.uk ow os it work? Solutions Polgons Pg qustions Polgons Polgon Not polgon Polgon Not polgon Polgon Not polgon Polgon Not polgon f g h Polgon Not polgon Polgon Not polgon Polgon

More information

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.

Math 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 information

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review rmup CSE 7: AVL trs rmup: ht is n invrint? Mihl L Friy, Jn 9, 0 ht r th AVL tr invrints, xtly? Disuss with your nighor. AVL Trs: Invrints Intrlu: Exploring th ln invrint Cor i: xtr invrint to BSTs tht

More information

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

ECE 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 information

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura

Module 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 information

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1. Why th Juntion Tr lgorithm? Th Juntion Tr lgorithm hris Willims 1 Shool of Informtis, Univrsity of Einurgh Otor 2009 Th JT is gnrl-purpos lgorithm for omputing (onitionl) mrginls on grphs. It os this y

More information

OpenMx Matrices and Operators

OpenMx 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 information

The University of Sydney MATH2969/2069. Graph Theory Tutorial 5 (Week 12) Solutions 2008

The 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 information

Decimals DECIMALS.

Decimals DECIMALS. Dimls DECIMALS www.mthltis.o.uk ow os it work? Solutions Dimls P qustions Pl vlu o imls 0 000 00 000 0 000 00 0 000 00 0 000 00 0 000 tnths or 0 thousnths or 000 hunrths or 00 hunrths or 00 0 tn thousnths

More information

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018

CSE 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 information

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!

Cycles 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 information

COMPLEXITY OF COUNTING PLANAR TILINGS BY TWO BARS

COMPLEXITY OF COUNTING PLANAR TILINGS BY TWO BARS OMPLXITY O OUNTING PLNR TILINGS Y TWO RS KYL MYR strt. W show tht th prolm o trmining th numr o wys o tiling plnr igur with horizontl n vrtil r is #P-omplt. W uil o o th rsults o uquir, Nivt, Rmil, n Roson

More information

Seven-Segment Display Driver

Seven-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 information

CS September 2018

CS 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

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management

, 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

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

Integration 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 information

On each of them are the numbers +6, 5, +4, 3, +2, 1. The two dice are rolled. The score is obtained by adding the numbers on the upper faces.

On each of them are the numbers +6, 5, +4, 3, +2, 1. The two dice are rolled. The score is obtained by adding the numbers on the upper faces. Cmrig Essntils Mthmtis Cor 8 N1.1 Homwork N1.1 Homwork 1 A thr shows hr lss 2 six-si i. On h of thm r th numrs +6, 5, +4, 3, +2, 1. Th two i r roll. Th sor is otin y ing th numrs on th uppr fs. Clult th

More information

UNCORRECTED SAMPLE PAGES 4-1. Naming fractions KEY IDEAS. 1 Each shape represents ONE whole. a i ii. b i ii

UNCORRECTED SAMPLE PAGES 4-1. Naming fractions KEY IDEAS. 1 Each shape represents ONE whole. a i ii. b i ii - Nming frtions Chptr Frtions Eh shp rprsnts ONE whol. i ii Wht frtion is shdd? Writ s frtion nd in words. Wht frtion is not shdd? Writ s frtion nd in words. i ii i ii Writ s mny diffrnt frtions s you

More information

Present state Next state Q + M N

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 information

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs.

Paths. 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 information

UNCORRECTED SAMPLE PAGES

UNCORRECTED SAMPLE PAGES Numrs n surs Aritmti is t stuy o numrs n oprtions on tm. Tis sort ptr rviws wol numrs, intrs, rtionl numrs n rl numrs, wit prtiulr ttntion to t ritmti o surs n tir pproximtions. Most o tis mtril will milir

More information

Probability. Probability. Curriculum Ready ACMSP: 225, 226, 246,

Probability. Probability. Curriculum Ready ACMSP: 225, 226, 246, Proility Proility Curriulum Ry ACMSP:, 6, 6, 7 www.mthltis.om Proility PROBABILITY Proility msurs th hn of somthing hppning. This mns w n us mthmtis to fin how likly it is tht n vnt will hppn. Answr ths

More information

Tangram Fractions Overview: Students will analyze standard and nonstandard

Tangram 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 information

CSE 373. Graphs 1: Concepts, Depth/Breadth-First Search reading: Weiss Ch. 9. slides created by Marty Stepp

CSE 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 information

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x)

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x) Chptr 7 INTEGRALS 7. Ovrviw 7.. Lt d d F () f (). Thn, w writ f ( ) d F () + C. Ths intgrls r clld indfinit intgrls or gnrl intgrls, C is clld constnt of intgrtion. All ths intgrls diffr y constnt. 7..

More information

TOPIC 5: INTEGRATION

TOPIC 5: INTEGRATION TOPIC 5: INTEGRATION. Th indfinit intgrl In mny rspcts, th oprtion of intgrtion tht w r studying hr is th invrs oprtion of drivtion. Dfinition.. Th function F is n ntidrivtiv (or primitiv) of th function

More information

SOLVED EXAMPLES. be the foci of an ellipse with eccentricity e. For any point P on the ellipse, prove that. tan

SOLVED EXAMPLES. be the foci of an ellipse with eccentricity e. For any point P on the ellipse, prove that. tan LOCUS 58 SOLVED EXAMPLES Empl Lt F n F th foci of n llips with ccntricit. For n point P on th llips, prov tht tn PF F tn PF F Assum th llips to, n lt P th point (, sin ). P(, sin ) F F F = (-, 0) F = (,

More information

SAMPLE PAGES. Primary. Primary Maths Basics Series THE SUBTRACTION BOOK. A progression of subtraction skills. written by Jillian Cockings

SAMPLE PAGES. Primary. Primary Maths Basics Series THE SUBTRACTION BOOK. A progression of subtraction skills. written by Jillian Cockings PAGES Primry Primry Mths Bsis Sris THE SUBTRACTION BOOK A prorssion o sutrtion skills writtn y Jillin Cokins INTRODUCTION This ook is intn to hlp sur th mthmtil onpt o sutrtion in hilrn o ll s. Th mstry

More information

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S.

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S. ConTst Clikr ustions Chtr 19 Physis, 4 th Eition Jms S. Wlkr ustion 19.1 Two hrg blls r rlling h othr s thy hng from th iling. Wht n you sy bout thir hrgs? Eltri Chrg I on is ositiv, th othr is ngtiv both

More information

Section 3: Antiderivatives of Formulas

Section 3: Antiderivatives of Formulas Chptr Th Intgrl Appli Clculus 96 Sction : Antirivtivs of Formuls Now w cn put th is of rs n ntirivtivs togthr to gt wy of vluting finit intgrls tht is ct n oftn sy. To vlut finit intgrl f(t) t, w cn fin

More information

Numbering Boundary Nodes

Numbering Boundary Nodes Numring Bounry Nos Lh MBri Empori Stt Univrsity August 10, 2001 1 Introution Th purpos of this ppr is to xplor how numring ltril rsistor ntworks ffts thir rspons mtrix, Λ. Morovr, wht n lrn from Λ out

More information

Exam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013

Exam 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 information

Constructive Geometric Constraint Solving

Constructive 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 information

Limits Indeterminate Forms and L Hospital s Rule

Limits Indeterminate Forms and L Hospital s Rule Limits Indtrmint Forms nd L Hospitl s Rul I Indtrmint Form o th Tp W hv prviousl studid its with th indtrmint orm s shown in th ollowin mpls: Empl : Empl : tn [Not: W us th ivn it ] Empl : 8 h 8 [Not:

More information

0.1. Exercise 1: the distances between four points in a graph

0.1. Exercise 1: the distances between four points in a graph Mth 707 Spring 2017 (Drij Grinrg): mitrm 3 pg 1 Mth 707 Spring 2017 (Drij Grinrg): mitrm 3 u: W, 3 My 2017, in lss or y mil (grinr@umn.u) or lss S th wsit or rlvnt mtril. Rsults provn in th nots, or in

More information

b. How many ternary words of length 23 with eight 0 s, nine 1 s and six 2 s?

b. 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 information

EE1000 Project 4 Digital Volt Meter

EE1000 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 information

CSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata

CSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata CSE303 - Introduction to th Thory of Computing Smpl Solutions for Exrciss on Finit Automt Exrcis 2.1.1 A dtrministic finit utomton M ccpts th mpty string (i.., L(M)) if nd only if its initil stt is finl

More information

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example

Outline. 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 information

CSC Design and Analysis of Algorithms. Example: Change-Making Problem

CSC 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 information

An undirected graph G = (V, E) V a set of vertices E a set of unordered edges (v,w) where v, w in V

An 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 information

Instructions for Section 1

Instructions for Section 1 Instructions for Sction 1 Choos th rspons tht is corrct for th qustion. A corrct nswr scors 1, n incorrct nswr scors 0. Mrks will not b dductd for incorrct nswrs. You should ttmpt vry qustion. No mrks

More information

Multipoint Alternate Marking method for passive and hybrid performance monitoring

Multipoint 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 information

Chapter 16. 1) is a particular point on the graph of the function. 1. y, where x y 1

Chapter 16. 1) is a particular point on the graph of the function. 1. y, where x y 1 Prctic qustions W now tht th prmtr p is dirctl rltd to th mplitud; thrfor, w cn find tht p. cos d [ sin ] sin sin Not: Evn though ou might not now how to find th prmtr in prt, it is lws dvisl to procd

More information

FSA. CmSc 365 Theory of Computation. Finite State Automata and Regular Expressions (Chapter 2, Section 2.3) ALPHABET operations: U, concatenation, *

FSA. CmSc 365 Theory of Computation. Finite State Automata and Regular Expressions (Chapter 2, Section 2.3) ALPHABET operations: U, concatenation, * CmSc 365 Thory of Computtion Finit Stt Automt nd Rgulr Exprssions (Chptr 2, Sction 2.3) ALPHABET oprtions: U, conctntion, * otin otin Strings Form Rgulr xprssions dscri Closd undr U, conctntion nd * (if

More information

Chem 104A, Fall 2016, Midterm 1 Key

Chem 104A, Fall 2016, Midterm 1 Key hm 104A, ll 2016, Mitrm 1 Ky 1) onstruct microstt tl for p 4 configurtion. Pls numrt th ms n ml for ch lctron in ch microstt in th tl. (Us th formt ml m s. Tht is spin -½ lctron in n s oritl woul writtn

More information

Chem 107: Inorganic Chemistry (40720)

Chem 107: Inorganic Chemistry (40720) Chm 107: Inorgni Chmistry (40720) Prossor Mtt Lw -mil: lwm@ui.u Oi Hours: W 3:00-4:00p n Thurs 11-noon in NS2 2127 TAs Julit Khosrowi -mil: jkhosrow@ui.u Oi Hours: Tus 2:00-3:00p, 3 r loor tls, Rins Hll

More information

Simplifying Algebra. Simplifying Algebra. Curriculum Ready.

Simplifying Algebra. Simplifying Algebra. Curriculum Ready. Simplifying Alger Curriculum Redy www.mthletics.com This ooklet is ll out turning complex prolems into something simple. You will e le to do something like this! ( 9- # + 4 ' ) ' ( 9- + 7-) ' ' Give this

More information

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)} Introution Computr Sin & Enginring 423/823 Dsign n Anlysis of Algorithms Ltur 03 Elmntry Grph Algorithms (Chptr 22) Stphn Sott (Apt from Vinohnrn N. Vriym) I Grphs r strt t typs tht r pplil to numrous

More information

Weighted graphs -- reminder. Data Structures LECTURE 15. Shortest paths algorithms. Example: weighted graph. Two basic properties of shortest paths

Weighted graphs -- reminder. Data Structures LECTURE 15. Shortest paths algorithms. Example: weighted graph. Two basic properties of shortest paths Dt Strutur LECTURE Shortt pth lgorithm Proprti of hortt pth Bllmn-For lgorithm Dijktr lgorithm Chptr in th txtook (pp ). Wight grph -- rminr A wight grph i grph in whih g hv wight (ot) w(v i, v j ) >.

More information

COMP108 Algorithmic Foundations

COMP108 Algorithmic Foundations Grdy mthods Prudn Wong http://www.s.liv..uk/~pwong/thing/omp108/01617 Coin Chng Prolm Suppos w hv 3 typs of oins 10p 0p 50p Minimum numr of oins to mk 0.8, 1.0, 1.? Grdy mthod Lrning outoms Undrstnd wht

More information

Last time: introduced our first computational model the DFA.

Last time: introduced our first computational model the DFA. Lctur 7 Homwork #7: 2.2.1, 2.2.2, 2.2.3 (hnd in c nd d), Misc: Givn: M, NFA Prov: (q,xy) * (p,y) iff (q,x) * (p,) (follow proof don in clss tody) Lst tim: introducd our first computtionl modl th DFA. Tody

More information

Solutions 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 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 information

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)}

V={A,B,C,D,E} E={ (A,D),(A,E),(B,D), (B,E),(C,D),(C,E)} s s of s Computr Sin & Enginring 423/823 Dsign n Anlysis of Ltur 03 (Chptr 22) Stphn Sott (Apt from Vinohnrn N. Vriym) s of s s r strt t typs tht r pplil to numrous prolms Cn ptur ntitis, rltionships twn

More information

Graphs. Graphs. Graphs: Basic Terminology. Directed Graphs. Dr Papalaskari 1

Graphs. 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 information

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas

Using 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 information

Algebraic Expressions

Algebraic Expressions Algebraic Expressions 1. Expressions are formed from variables and constants. 2. Terms are added to form expressions. Terms themselves are formed as product of factors. 3. Expressions that contain exactly

More information

The Plan. Honey, I Shrunk the Data. Why Compress. Data Compression Concepts. Braille Example. Braille. x y xˆ

The Plan. Honey, I Shrunk the Data. Why Compress. Data Compression Concepts. Braille Example. Braille. x y xˆ h ln ony, hrunk th t ihr nr omputr in n nginring nivrsity of shington t omprssion onpts ossy t omprssion osslss t omprssion rfix os uffmn os th y 24 2 t omprssion onpts originl omprss o x y xˆ nor or omprss

More information

Planar Upward Drawings

Planar Upward Drawings C.S. 252 Pro. Rorto Tmssi Computtionl Gomtry Sm. II, 1992 1993 Dt: My 3, 1993 Sri: Shmsi Moussvi Plnr Upwr Drwings 1 Thorm: G is yli i n only i it hs upwr rwing. Proo: 1. An upwr rwing is yli. Follow th

More information

QUESTIONS BEGIN HERE!

QUESTIONS 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 information

Solutions to Homework 5

Solutions to Homework 5 Solutions to Homwork 5 Pro. Silvia Frnánz Disrt Mathmatis Math 53A, Fall 2008. [3.4 #] (a) Thr ar x olor hois or vrtx an x or ah o th othr thr vrtis. So th hromati polynomial is P (G, x) =x (x ) 3. ()

More information

Walk Like a Mathematician Learning Task:

Walk 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 information

DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Leslie Rogalski

DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Leslie Rogalski Dut with Dimons Brlt DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Lsli Roglski Photo y Anrw Wirth Supruo DUETS TM from BSmith rt olor shifting fft tht mks your work tk on lif of its own s you mov! This

More information

QUESTIONS BEGIN HERE!

QUESTIONS 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 information

UNCORRECTED SAMPLE PAGES. Length, area, surface 5area and volume. Online resources. What you will learn

UNCORRECTED SAMPLE PAGES. Length, area, surface 5area and volume. Online resources. What you will learn Onlin rsours Auto-mrk hptr pr-tst Vio monstrtions o ll work xmpls Intrtiv wigts Intrtiv wlkthroughs Downlol HOTshts Ass to ll HOTmths Austrlin Curriulum ourss Ass to th HOTmths gms lirry Lngth, r, sur

More information

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued... Progrssiv Printing T.M. CPITLS g 4½+ Th sy, fun (n FR!) wy to tch cpitl lttrs. ook : C o - For Kinrgrtn or First Gr (not for pr-school). - Tchs tht cpitl lttrs mk th sm souns s th littl lttrs. - Tchs th

More information

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point GCSE C Emple 7 Work out 9 Give your nswer in its simplest form Numers n inies Reiprote mens invert or turn upsie own The reiprol of is 9 9 Mke sure you only invert the frtion you re iviing y 7 You multiply

More information

CS 241 Analysis of Algorithms

CS 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 information

Problem solving by search

Problem solving by search Prolm solving y srh Tomáš voo Dprtmnt o Cyrntis, Vision or Roots n Autonomous ystms Mrh 5, 208 / 3 Outlin rh prolm. tt sp grphs. rh trs. trtgis, whih tr rnhs to hoos? trtgy/algorithm proprtis? Progrmming

More information

Polynomials. Polynomials. Curriculum Ready ACMNA:

Polynomials. Polynomials. Curriculum Ready ACMNA: Polynomils Polynomils Curriulum Redy ACMNA: 66 www.mthletis.om Polynomils POLYNOMIALS A polynomil is mthemtil expression with one vrile whose powers re neither negtive nor frtions. The power in eh expression

More information

Project 6: Minigoals Towards Simplifying and Rewriting Expressions

Project 6: Minigoals Towards Simplifying and Rewriting Expressions MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy

More information

Graphs. CSC 1300 Discrete Structures Villanova University. Villanova CSC Dr Papalaskari

Graphs. 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 information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

More information

Graph 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

Graph 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 information

Algorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph

Algorithmic 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 information

Outline. Computer Science 331. Computation of Min-Cost Spanning Trees. Costs of Spanning Trees in Weighted Graphs

Outline. 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 information

CS200: Graphs. Graphs. Directed Graphs. Graphs/Networks Around Us. What can this represent? Sometimes we want to represent directionality:

CS200: 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

Fundamental Algorithms for System Modeling, Analysis, and Optimization

Fundamental Algorithms for System Modeling, Analysis, and Optimization Fundmntl Algorithms for Sstm Modling, Anlsis, nd Optimiztion Edwrd A. L, Jijt Rohowdhur, Snjit A. Sshi UC Brkl EECS 144/244 Fll 2011 Copright 2010-11, E. A. L, J. Rohowdhur, S. A. Sshi, All rights rsrvd

More information

Similarity and Congruence

Similarity and Congruence Similrity nd ongruence urriculum Redy MMG: 201, 220, 221, 243, 244 www.mthletics.com SIMILRITY N ONGRUN If two shpes re congruent, it mens thy re equl in every wy ll their corresponding sides nd ngles

More information

CS 461, Lecture 17. Today s Outline. Example Run

CS 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 information

Complete Solutions for MATH 3012 Quiz 2, October 25, 2011, WTT

Complete 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 information

CONVERTING UNITS. Converting Units PASSPORT

CONVERTING UNITS.  Converting Units PASSPORT CONVERTING UNITS PASSPORT www.mthltis.om.u This ook shows how to writ th sm vlu using smllr or lrgr units o msurmnt. Mny nint ivilistions msur lngths/istns y rlting thm to rtin oy prts. Invstigt ths trms

More information

MAT3707. Tutorial letter 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/201/1/2017

MAT3707. 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 information

Aquauno Video 6 Plus Page 1

Aquauno Video 6 Plus Page 1 Connt th timr to th tp. Aquuno Vio 6 Plus Pg 1 Usr mnul 3 lik! For Aquuno Vio 6 (p/n): 8456 For Aquuno Vio 6 Plus (p/n): 8413 Opn th timr unit y prssing th two uttons on th sis, n fit 9V lklin ttry. Whn

More information

N1.1 Homework Answers

N1.1 Homework Answers Camrig Essntials Mathmatis Cor 8 N. Homwork Answrs N. Homwork Answrs a i 6 ii i 0 ii 3 2 Any pairs of numrs whih satisfy th alulation. For xampl a 4 = 3 3 6 3 = 3 4 6 2 2 8 2 3 3 2 8 5 5 20 30 4 a 5 a

More information

Grade 7/8 Math Circles March 4/5, Graph Theory I- Solutions

Grade 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 information

12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)

12/3/12. 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 information

5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs

5/9/13. 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 information

LESSON 6.2 POLYNOMIAL OPERATIONS I

LESSON 6.2 POLYNOMIAL OPERATIONS I LESSON 6.2 POLYNOMIAL OPERATIONS I Overview In business, people use algebra everyday to find unknown quantities. For example, a manufacturer may use algebra to determine a product s selling price in order

More information

A Simple Code Generator. Code generation Algorithm. Register and Address Descriptors. Example 3/31/2008. Code Generation

A 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 information