kind read i i i i i i

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "kind read i i i i i i"

Transcription

1 T u Mu P W NNG: Wu 1J1:9 u P OUT, 1J1: u u u, u u, u' u u. v v 53:10-1 1' LXX x, u b : P u, N u, v u u u ( P ' "5 v" k ) k z u) ( ( k, u) ku ( u, k k, ub) ( u b u) k ( b Mk u, Ju) 1 J1:9 T Pb- v v ("P") u G : ( " TULP?" P V, #4 ) T '. T x 1985 E 1992 u (18 Bb, v, vb ). - x. u u u - (u 1J1:9 u, u) - G O O P P L v ( v) ( u ) u ( ub 1 2) ( ) L v k +, ( ) G u M u k " P" O u v L v u ) ( - u Mu Bk ( P ' "u Mu P, Ovv" k ) u Bb u k T u P G L v G T u W k G v- u Tk ( P ' " 7- 'u'" k ) u- v ( P ' " 4 " k ) u v P u V b ( ) ( u- b ) O ( ) ub- N OTE: u Mu -uw, b v, 8:4. u u, b- bk u u u, v v 1J1:9. T -uw k. N b-, x. W u u u, b- bk u: u K- z u u B. ( Gk u u, 2T4: 7, b12:1-2.) T 5 v "" u ( b4:12) u u 10 P. T u Bk, u, & bk. T u. T 10 P u u k u k, b ; u, u u '':.., u u' u u, v P ' u "", u ''. Mu v - u 10 P, u u. T u k, ' x u u. u Mu 'z' u P u'v v ; u TOUG. ' Tk u u. Y u k U "" u, T k u ", v, u ", u "k" B, 13, E 2:10. ( T "" Gk 13:10-15, bu k u. T' bv, ; ' NOT bv' k. T O T W k v.16, Pu' W' v,. M ' k u. )

2 u u u v N u, u, P : u b v, v z k k u k Pb T - v v G u : ). vb v,, Bb (18 u 1992 E 1985 x T. ' T -. x u u ) 2 1 (ub u u " "P k Mu u J1: G O O P Lv (v) P ) u ( ( - - Lv ) k () +, G (v u O - u Lv ) (1J1:9) u U u, u, u, u G. " - ". E v. u Bb B. E, b u, u G b u u, k,.. u u k bz ubb, (v), k, u, b v v Bb b (v ). ' bv. Bb, k, Bb NY u u u x T Mu Bk u u Bb, Bb O. L ; u b.? k u B k,. u T P " ' W ": k ' bu G, u ub j.. G k O - - G u, ' u = M u = E u = u J v L : G u ', uu u Bb, E u T u v B b u. ' ' k W G b T v Bb, u v. E. v - Tk u u - v u U V P b u k Bb. b v k Bb,. G k b u P Bb. b V V ' G b. b P b b L W ( ) u ( - ) b O ) ( b u - OTE: N. v u; k u b v - k. ', ; N u. b x P.., x. u, '. u, v, ; u x U "". b bu,

3 u v v, u b : P u, N u, v u u,, bu u u. k z ku k T '. T x 1985 u u 1 J1:9 - - T Pb- v v u G : E 1992 u (18 Bb, v, vb ). - x. u u (ub 1 2) G O O P P (v) L v (u ) ( ) Lv k +, () G u Mu k " P" Ou (v- Lv u ) U u u, u, u G u, qu,. " - " x, B Bb u. L., b u u. b, u G u, k, u, u v. u. b. q u. b b k. T Bb b '' vu b v. v b u, ubb, v. u u NY Bb k Bb bv. u Mu Bk u Bb Bb, u. P,, u x u. ;? B! u k B k, b,. O b k u k u Bb. T u P " " : W b v, b. O k G, k G bu MENNG. T "" b "". G, u, bu. ' = u, q u. M = u, q u. E = u, q u. J u u b. Bu ' v k Bb, b k! Lv G : u, uu. u Bb,, bu u. u, k. B ' '. b. T u v z, v u. Bv (bu x) u b ' '. Wk G T b u Bb, bv. L ; k, u. b u U V P u k Bb, b u q u. v k Bb, k G. v- u Tk u- v Pu Bb. Bb u k. B b j! V G' V b b u q u. P u (b u) b L W, v. ( ) v W T u. ( u- b ) B. O ( ) N OTE: T u u ) Bb b b, u b) u z ' u' bu, G' u b bu u. G u, u W, u,. b- u v u, u qu. ub-

4 u u ub 1 v v, u b : P u, N u, v u u,, bu u u. k z ku k T Pb- v v u G : T '. T x 1985 E 1992 u (18 Bb, v, vb ). - x. u u u u k "u - " 1 J1:9 - - G O O P P (v) L v (u ) E ( ub 1 2) ( ) L v k +, () G u Mu k " P" Ou (v- Lv u ) U u u v, u, u G u v,. " O" v, v. ' b, uk L. u. v b Bb-. T u Bb k u u u W v u. u, j u. u Mu Bk u Bb Bb v. P. O v. b. u k k,,. Bb,. T, v uu. T u P " ": W v. k, bv k G u. ' bk. G. '=u, j. M =u, j. E=u, j. Ju ' u W. v,,, M10: L v G : u, u u. Bb. u,. Lv ' ', b x. TTTON PE L v. T u v z, v u. Ej b u b ' '. P u,. W k G Tk b u. T '',. T bu j '' v. u v ub 2! u U V P u. v k Bb k. v- u T k u- v Pu B b. B b' u. O k! V T V u, G' V. P u v u b L W,. ( ) M W Tu. ( u- b ) B. O ( ) B. N OTE: T 1 ub u u v, j v T & u. ' '. bu k, k. T bv u k. T u: W / W-bu. Lk -, u u vb. v, ' bv' u.. v Lv G b b u. T &, u. ub-

5 v v, u b : u u ub 2 P u, N u, v u u,, bu u u. k z ku k T Pb- v v u G : T '. T x 1985 E 1992 u (18 Bb, v, v b ). P x. u u u u k "u u" ( ub 1 2) 1 J1:9 - - G O O P P ( v) L v ( u ) ( ) L v k +, () G u Mu k " P" Ou (v- Lv u ) U u b v u u. u G,. Jb, bv. v Ev T. " + u v, ' u u'v. Lv b v v, u u. T k ub 1 bu u u, uu u u Mu b. "Mu" T,. Y u' u u u' k. M ' k. u Mu Bk u Bb T u b - u G W. N u, W BEOME u. O Bb LL. " O " W. u k u, k,. Bb b v u u k, b. Tk v u. T u P " Lv", b. W T M. Yu ' v,. Tk G b x k, b. G Yu. Lv. Bb T k. Bb u k. E v " " u, u ' u, u '. P 1:21 ub. L v G : bu Lv b ub. Bb u. b L v. v, bu u ' k,. T u z, v u. u. P, '' O WN u. W k G Yu v. v P 1:21. u Ev T u M u! u Lv B b. P " ". v. Bb Lv M,. v- u Tk u- v Pu Yu k, u v k b. V V u Mu, Ou, b ub. P. b b TE Bu u: bu u k u NOT b. ( ) W. Yu. Yu k - -, '. ( u- b ). Yu k. O ( ) B b. N OTE: T 2 ub u u v u, bu Ou. b u k. b bu, bu u ' k. T 2 T V 1 v T & u. bu : u k M. Yu' u b ' v v, bu u k. Yu' xu u,. T ' : E u. W., ' v, : u P. b & u ( b ), u, ',. ub-. B.

6 u M u, k "P" v v, u b : P u, N u, v u u,, bu u u. k z ku k T Pb- v v u G : T ', x 1985 E & 1992 u (18 Bb, v, ). P x. u u u u 1 J1:9 - - G O O P P ( v) L v ( u ) ( ub 1 2) ( ) L v k +, () G u M u k " P" Ou (v- L v u ) E v T UE u T k '. u. Yu. Pu Ov b, 3, v P ' " Ev T" k P V. Yu v " Ou " : u u, v u u Ev T. Lv + Mu T b. quk u u u u Mu v. u '' b O u,. u Mu Bk u Bb T W b u. N u : Mv,, b. M4:4 u. T OTL W. u k G u u v u u. T' u ' q uk, u. B b ULE u. T u P " Lv",. Ev. W, 24/7. Tk G u x k. G Y u 24/ 7. Lv. Bb T k. B b u k, 24/7, bu. L v G : bu Lv. u. Lv. T u " v vb" ( ' ). Yu v,. u. OWN u. W k G P 1:21. Ev u v v uv, u. u UON Tk u, u.. v Yu k, u b. u k. b v. v- u Tk u- v P u, 24/7. b V P. V P,, Ou v v.. b b. ( ) W. Yu. Yu k - -, '. ( u- b ). k.. Yu O ( ). ub-. N OTE: T x ub P u v; bu u bu,, P 1: T 2 V T, u vu, k u. u, uu. bu : u k. Yu' k, bu u. W. v. u b, b b "Ju". Yu, k Tk b u,.,., bjv ubjv v, Lv G Ju, 8! T OVE!.

elegant Pavilions Rediscover The Perfect Destination

elegant Pavilions Rediscover The Perfect Destination Pv Rv T Pf D W... T O Lv! Rv p f f v. T f p, f f, j f f, bw f p f f w-v. T f bk pv. Pv w b f v, pv f. W, w w, w f, pp w w pv. W pp v w v. Tk f w v k w w j x v f. W v p f b f v j. S f f... Tk Y! 2 3 p Pv

More information

R a. Aeolian Church. A O g C. Air, Storm, Wind. P a h. Affinity: Clan Law. r q V a b a. R 5 Z t 6. c g M b. Atroxic Church. d / X.

R a. Aeolian Church. A O g C. Air, Storm, Wind. P a h. Affinity: Clan Law. r q V a b a. R 5 Z t 6. c g M b. Atroxic Church. d / X. A M W A A A A R A O C A () A 6 A A G A A A A A A-C Au A A P 0 V A T < Au J Az01 Az02 A Au A A A A R 5 Z 6 M B G B B B P T Bu B B B B S B / X B A Cu A, S, W A: S Hu Ru A: C L A, S, F, S A, u F C, R C F

More information

N C GM L P, u u y Du J W P: u,, uy u y j S, P k v, L C k u, u GM L O v L v y, u k y v v QV v u, v- v ju, v, u v u S L v: S u E x y v O, L O C u y y, k

N C GM L P, u u y Du J W P: u,, uy u y j S, P k v, L C k u, u GM L O v L v y, u k y v v QV v u, v- v ju, v, u v u S L v: S u E x y v O, L O C u y y, k Qu V vu P O B x 1361, Bu QLD 4575 C k N 96 N EWSLEE NOV/ DECE MBE 2015 E N u uu L O C 21 Nv, 2 QV v Py Cu Lv Su, 23 2 5 N v, 4 2015 u G M v y y : y quu u C, u k y Bu k v, u u vy v y y C k! u,, uu G M u

More information

University of South Carolina

University of South Carolina Jumper arter ease oof epair ast round evel P000 rchitects P Meeting treet West olumbia outh arolina F U JUMP, P W UMB -700 F U M K MY /9/0 :8: PM :\0\0 - U - eplace oofing for ast rand V ustod & Fac upply

More information

2 v g vg mm u p qu xg g u u u u - m m g v O u m p m m - qu v Vg p p O gv W mp uu v u u u W k g uu p u mm m O m W m G p v Op u - Qu E p g W Gvm $80 mg

2 v g vg mm u p qu xg g u u u u - m m g v O u m p m m - qu v Vg p p O gv W mp uu v u u u W k g uu p u mm m O m W m G p v Op u - Qu E p g W Gvm $80 mg Qu m Vg P mg P O B x 1361 Bu QD 4575 P : 0424 251 646 pqv@gm m vggu J W P O B x 1361 Bu QD 4575 P : 07 5478 0443 qv@ g m m N 89 N EWEE F u 2014 E & p O u Fu N pg mm uuu v k - mm mm v g: O W m m V) Dm B

More information

CHANGE OF BASIS AND ALL OF THAT

CHANGE OF BASIS AND ALL OF THAT CHANGE OF BASIS AND ALL OF THAT LANCE D DRAGER Introduction The goal of these notes is to provide an apparatus for dealing with change of basis in vector spaces, matrices of linear transformations, and

More information

The Evolution of Outsourcing

The Evolution of Outsourcing Uvy f R I DCmm@URI S H Pj H Pm Uvy f R I 2009 T Ev f O M L. V Uvy f R I, V99@m.m Fw wk : ://mm../ P f B Cmm Rmm C V, M L., "T Ev f O" (2009). S H Pj. P 144. ://mm..//144://mm..//144 T A b y f f by H Pm

More information

Assignment. Name. Factor each completely. 1) a w a yk a k a yw 2) m z mnc m c mnz. 3) uv p u pv 4) w a w x k w a k w x

Assignment. Name. Factor each completely. 1) a w a yk a k a yw 2) m z mnc m c mnz. 3) uv p u pv 4) w a w x k w a k w x Assignment ID: 1 Name Date Period Factor each completely. 1) a w a yk a k a yw 2) m z mnc m c mnz 3) uv p u pv 4) w a w x k w a k w x 5) au xv av xu 6) xbz x c xbc x z 7) a w axk a k axw 8) mn xm m xn

More information

Fuzzy Reasoning and Optimization Based on a Generalized Bayesian Network

Fuzzy Reasoning and Optimization Based on a Generalized Bayesian Network Fuy R O B G By Nw H-Y K D M Du M Hu Cu Uvy 48 Hu Cu R Hu 300 Tw. @w.u.u.w A By w v wy u w w uy. Hwv u uy u By w y u v w uu By w w w u vu vv y. T uy v By w w uy v v uy. B By w uy. T uy v uy. T w w w- uy.

More information

APPRENTICESHIPS. A guide for learners

APPRENTICESHIPS. A guide for learners PPRENTCESHPS ui l 1 F ii vii u.kll..uk/ii ll u 0178 60747 C ui 1 W ii? - T 10 bi i 5-6 M i 7-8 F (Fqul k ui) 9-1 Fiv bi i 1-14 W Sk T Cll? 15-16 W k? S i u.kll..uk/ii Yu uu Wl Sk T Cll. u kik u quliii

More information

i t 1 v d B & N 1 K 1 P M 1 R & H 1 S o et al., o 1 9 T i w a s b W ( 1 F 9 w s t t p d o c o p T s a s t b ro

i t 1 v d B & N 1 K 1 P M 1 R & H 1 S o et al., o 1 9 T i w a s b W ( 1 F 9 w s t t p d o c o p T s a s t b ro Pgm PII: S0042-6989(96)00205-2 VR, V 37, N 6, 705 720,1997 01997 E S L Pd G B 0042-698997$1700+ 000 P M L I B L P S M S E C S W A U O S R E R O 1 f 1 A 1 f fm J 1 A bqu g vy bd z gu u vd mvg z d,, -dg

More information

Grand Bapids Business Directory.

Grand Bapids Business Directory. G 2 by U- b 5 y VU W HG WY UGU 2787 U 8 W UH VY Y G W Y- H W H G F U: yy 7 x V by 75 F VQ ) > q Fy y bb - W? G W W : 8 $8 6 2 8 8 36 5 35 8 5 7 bq U / Yy U qu b b b } GU H 7 W b U 8HUH Q F U y y? 8 x Q

More information

NINETEEN EIGHTY-FOUR. Introduction

NINETEEN EIGHTY-FOUR. Introduction G Oll, 1984 NINETEEN EIGHTY-FOUR T B P C D F Rl Wk Tp f Du 1984 Ppul M Ru Lk I Gll Iu Cll G Oll f u. Hv pl k lf, fv publ puul, Oll b b l uful, bu l pful. H vl N E-Fu pll ll, xplf pl ul f ppv v l, flu b

More information

2 BSRAC A v u m bm gu g S my G Cmmuy F my G Gv m FR k m vg uy m m my gvm u?, mmuy my gvm g m vb m bm u uy? mmuy z m qu m ug m 7 m 17 my A my g m gv 1

2 BSRAC A v u m bm gu g S my G Cmmuy F my G Gv m FR k m vg uy m m my gvm u?, mmuy my gvm g m vb m bm u uy? mmuy z m qu m ug m 7 m 17 my A my g m gv 1 O Y M G Su Suv: J Ryöm M y, 211 ROBLEMS FACED BY FEMALE RMARY SCHOOL EACHERS N VLLA GE KOH HUSSAN KHEL ESHAWAR F RONER REGON (FR) COMARA VE SUDY OF FEDERAL CO MMUNY RMARY SCHOOL AND G OVERNMEN G RLS RMARY

More information

PwC Middle East Spa Benchmarking Survey January - August 2012

PwC Middle East Spa Benchmarking Survey January - August 2012 www.pw.m/m Mdd E Sp Bhmkg Suvy Juy - Augu 2012 W pd p h u f PwhuCp () Sp Bhmk uvy f h p h Mdd E. Th h y bhmk p vg h Dd S, Dh, d Bu p g. Th Sp Bhmk Rp ud -uy b d h d v h pd fm Juy Augu 2012. Th Sp Bhmk

More information

SOUTH. Bus Map. From 25 October travelsouthyorkshire.com/sbp

SOUTH. Bus Map. From 25 October travelsouthyorkshire.com/sbp SOUT SFFIL u Mp F Ocb 1 N Sff p vb f Tv Su Y If Sff vuc/sp Sff u Pp - v Sff Sff u Pp cu w pv u w: u p bu w b vu c f u-p v Fqu vc ub f u Fw u c bu w w f cc v w cv f? 3 f-p p Sff bu Ipv cu fc b up % 0,000

More information

Creating New Objects

Creating New Objects Wk Obj 1 C bj 2 A vb bj 3 bj C M & I I B & M 4 Cv bj v - 5 M b bj 6 A vv Jv b C N Obj A Jv C bj: bj k H bj : R R Rk V Rk Jv k bj 1 I v bj 2 I bj b C Vb bj Jv vb v 1 A vb v v 2 A vb Obj bj I R bj bj H x

More information

THE LOWELL LEDGER. X

THE LOWELL LEDGER. X * : V : ~ E E EGER X Y X 22 E Y BK E G U P B - ; * -K R B BY K E BE YU YU RE EE «> BE B F F P B * q UR V BB«56 x YU 88»* 00 E PU P B P B P V F P EPEE EUR E G URY VEBER

More information

FAIR FOOD GRADE 4 SOCIAL STUDIES SWEET TREATS GALORE THE FREE ENTERPRISE SYSTEM AT WORK

FAIR FOOD GRADE 4 SOCIAL STUDIES SWEET TREATS GALORE THE FREE ENTERPRISE SYSTEM AT WORK FAIR FOOD GRADE 4 SOCIAL STUDIES SWEET TREATS GALORE THE FREE ENTERPRISE SYSTEM AT WORK TEACHER G Fu SOCIAL STUDIES If yu v w h, h Tx S F h pl b! Flk vl fm ll v lh uqu uly w. Epul hf pv h ppuy um, h f

More information

Baby Beauty Contest Judging Today In WR Recreation Halt

Baby Beauty Contest Judging Today In WR Recreation Halt MO BOOM JO R 7OM OJJM JC 20 946 MG 2 O H K F C O Ck C U VMR B G DON U M L H Y v C M G 2 v COMMNDNG MG-2 R R5-C k k C G - R k < v : L C B Z - v C R L C D H - v M -2 - «v G z F - MG-2 v j v v K O G - C

More information

CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE

CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE 1. Linear Partial Differential Equations A partial differential equation (PDE) is an equation, for an unknown function u, that

More information

Emigration The movement of individuals out of an area The population decreases

Emigration The movement of individuals out of an area The population decreases Nm Clss D C 5 Puls S 5 1 Hw Puls Gw (s 119 123) Ts s fs ss us sb ul. I ls sbs fs ff ul sz xls w xl w ls w. Css f Puls ( 119) 1. W fu m ss f ul?. G sbu. Gw b. Ds. A suu 2. W s ul s sbu? I s b b ul. 3. A

More information

ABLE OF CONENS E xuv I I I uy Bkgu 9 Objv III Mgy 3 Suy g u u uy 3 2 uvy Dv 3 3 Sg U S z 2 3 Pu 2 3 O gz 3 3 F g D y 3 8 E v IV Ru C u v y G C u

ABLE OF CONENS E xuv I I I uy Bkgu 9 Objv III Mgy 3 Suy g u u uy 3 2 uvy Dv 3 3 Sg U S z 2 3 Pu 2 3 O gz 3 3 F g D y 3 8 E v IV Ru C u v y G C u WORLD VISION PACIFIC IMOR-L ESE B ASELINE SURVEY RESULS M AKIRA MAERNAL CHILD HEALH A ND NURIION PROJEC D Ru S, H Mg WVPDG Juy 202 ABLE OF CONENS E xuv I I I uy Bkgu 9 Objv III Mgy 3 Suy g u u uy 3 2 uvy

More information

Gaylord, Michigan, Thursday, May 17, 1945

Gaylord, Michigan, Thursday, May 17, 1945 » BCMV J &KJ V 70 N 0 B Q f $6 B U CCN K V F M M M J MCK %&«~ f - M K M B C M M B B f q z f q b f 7 b z f j f f C Nb f b f f M M J M f f B C f b J V f B C b b M M - q B M M M M ff b ; b b b b j f b b M

More information

that a w r o n g has been committed recognize where the responsibility

that a w r o n g has been committed recognize where the responsibility Z- XX q q J U Y ' G G, w, 142 16, U, j J ' B ' B B k - J, 5 6 5:30 7:00, $125;, -, 10:00 $300;, 4:00, 6:00, B C U 000 2:00, J $125; ' :, q C, k w G x q k w w w w q ' 60,, w q, w w k w w - G w z w w w C

More information

CONTENTS KILIMANJARO TREK4MANDELA TEAM SUMMITS MOUNT. Halala! Congratulations! Parabens! Felicitations! on Madiba s Birthday

CONTENTS KILIMANJARO TREK4MANDELA TEAM SUMMITS MOUNT. Halala! Congratulations! Parabens! Felicitations! on Madiba s Birthday Pg1 Tk4M T Su Mu Kj Pg2 SADC BA B W D. Ch C. J A Ch Pg3 SIRESS Rh A Sg M SADC BA W Sh CONTENTS Pg4 Bk wg j SIRESS SIRESS B Pg5 SADC BA P Tg TREK4MANDELA TEAM SUMMITS MOUNT KILIMANJARO M Bh I u h SADC BA

More information

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No xhibit 2-9/3/15 Invie Filing Pge 1841 f Pge 366 Dket. 44498 F u v 7? u ' 1 L ffi s xs L. s 91 S'.e q ; t w W yn S. s t = p '1 F? 5! 4 ` p V -', {} f6 3 j v > ; gl. li -. " F LL tfi = g us J 3 y 4 @" V)

More information

W E S T A N D N E W Y O R K. r NEW YORK > (entral * SYSTEM SYSTEM J. Effective January 14, 1939 Effective January 14, 1939 'IP" -6 " The Direct Route

W E S T A N D N E W Y O R K. r NEW YORK > (entral * SYSTEM SYSTEM J. Effective January 14, 1939 Effective January 14, 1939 'IP -6  The Direct Route e De Rue W N D W N D U W U W N D N D RNGFD N RNGFD N N W Y R N W Y R NW YR (e Y f NWYR (e v Y ffeve u ffeve u F U N N D DNNG R R V Reu e e e bbev D RfD e e; R; Reu e e e e be W U N D N ekek D N uff uff

More information

SE1.1. vloh=`lrkqv=c^jfiv=`lroq. eb`hib=_isai=ol`h=efiii=p` vloh=`lrkqv SITE PLAN - SECURITY. dbkbo^i=klqbp

SE1.1. vloh=`lrkqv=c^jfiv=`lroq. eb`hib=_isai=ol`h=efiii=p` vloh=`lrkqv SITE PLAN - SECURITY. dbkbo^i=klqbp NL PNL, N & NY PU UN NLL & N NL PNL NLY N LK YP (N LL YL NLY U) 8" L-NL LK " L-NL LK N NUL NN LK L-NL LN V NN-NN NN UY NL N N NUNL L LK N LN / NN UY NL N N NUL LK -N U- (LL YL N NLY U). N N PLNY N QU Y

More information

[Let's Do ToPolio What We Did To Tokyo

[Let's Do ToPolio What We Did To Tokyo [L D W W D k /%// / j } b w k w kk w b N b b k z w - k w k k b b b b b w k b k w S b b- K k D R w b k k kk k w w "b b z b bk b w wk w kk w w k b b b b q V /VSRN O R S R SON - H R VL 11 N 11 q HK NONL KONDON

More information

2014 CANADIAN SURF LIFESAVING CHAMPIONSHIPS PROGRAM

2014 CANADIAN SURF LIFESAVING CHAMPIONSHIPS PROGRAM 2014 CANAIAN URF LIFEAVING CHAMPIONHIP PROGRAM Lv Lv vy b v, w,, w Lv y w k Lv z by I Oy C (IOC) Cw G F T IOC z I L v F (IL) w v v IL N Mb Oz v b v T Lv y v by v C I Lv W C z I L v F Cw Lv C z Ry L v y

More information

M106C.

M106C. M106C wwwm MACO M106C PACKING LIST PART QTY OD SIZE LENGTH DESCRIPTION CHECKLIST T52P 2 2 060 80 ALUM TUBING SLOTTED ONE END T31P 2 2 050 80 ALUM TUBING SLOTTED ONE END SWAGED OTHER END TO 1835 T57P 2

More information

D ON MY HONOR, I WILL TRY.. AISI S E R S O DASS A B BR AM OWNI S E R S I GIRL SCOUTS! JUN SENIO IORS CAD E TTES

D ON MY HONOR, I WILL TRY.. AISI S E R S O DASS A B BR AM OWNI S E R S I GIRL SCOUTS! JUN SENIO IORS CAD E TTES ON MY HONOR, I WILL TRY.. DAISI ES AMBASSADORS BROWNI ES I JUNIORS 2017-2018 GIRL SCOUTS! CAD E TTES SENIORS Wm! W' I? W'v Pm G, v, m m G S x. I, y' m w x m, v, v v G S G W M. T v wm.. I y v y q q m, 888.474.9686

More information

i;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s

i;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s 5 C /? >9 T > ; '. ; J ' ' J. \ ;\' \.> ). L; c\ u ( (J ) \ 1 ) : C ) (... >\ > 9 e!) T C). '1!\ /_ \ '\ ' > 9 C > 9.' \( T Z > 9 > 5 P + 9 9 ) :> : + (. \ z : ) z cf C : u 9 ( :!z! Z c (! $ f 1 :.1 f.

More information

M e t ir c S p a c es

M e t ir c S p a c es A G M A A q D q O I q 4 78 q q G q 3 q v- q A G q M A G M 3 5 4 A D O I A 4 78 / 3 v D OI A G M 3 4 78 / 3 54 D D v M q D M 3 v A G M 3 v M 3 5 A 4 M W q x - - - v Z M * A D q q q v W q q q q D q q W q

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

~fw. urning Desire. lean ul. «sw. Final Extinction NEW QUIRK 69, N. Q., TUESDAY, APR^FCX^^W. ted:

~fw. urning Desire. lean ul. «sw. Final Extinction NEW QUIRK 69, N. Q., TUESDAY, APR^FCX^^W. ted: EK» - - - u I» -? NE QUIRK 69 N Q UEDY PRFCX F Ex X!E - - - ; - - - ; & P --?!R» u \ u CCNY -C C j pp N up - [ P-up p upu >j u D CC F 9u - x pu x pp p p p u p & K I? - >

More information

Generalized Least Squares

Generalized Least Squares Generalized Least Squares Upuntilnow,wehaveassumedthat Euu = ¾ I Now we generalize to let Euu = where is restricted to be a positive de nite, symmetric matrix ommon Examples Autoregressive Models AR()

More information

DIFFERENTIAL GEOMETRY HW 4. Show that a catenoid and helicoid are locally isometric.

DIFFERENTIAL GEOMETRY HW 4. Show that a catenoid and helicoid are locally isometric. DIFFERENTIAL GEOMETRY HW 4 CLAY SHONKWILER Show that a catenoid and helicoid are locally isometric. 3 Proof. Let X(u, v) = (a cosh v cos u, a cosh v sin u, av) be the parametrization of the catenoid and

More information

INCITE. The Collaboration Issue 20 VOL UME. A Dixon Schwabl Publication. dixonschwabl.com

INCITE. The Collaboration Issue 20 VOL UME. A Dixon Schwabl Publication. dixonschwabl.com INCITE A Dx Shwb Pb VOL UME 6 ky h 16 xhwb. Th Cb I 20 Cv pg phgphy by W Cy. Cv g hg by M Sp. Sw hy. I b h v, w py Cb M h h w b. Thk b. Th b hg w p h g b h ph hg w ph wkg wh h. A g y w h h. CONTENTS A

More information

12781 Velp Avenue. West County B Rural Residential Development

12781 Velp Avenue. West County B Rural Residential Development U PL & EET E 28 Vel ee eded 2 P.. ) LL EET T E 2) PPVE E ) ET E ) e e e e eded eebe 2 Plg & g eeg b) Bldg Pe e: eebe ) PUBL FU ( -E TE): g be bg bee e Plg & g eel ll be de ll be e. 5) UEETFEEBK: ) be ll

More information

Map A-2. Riparian Reserves, Late-Successional Reserves, and Adaptive Management Area Land Management Allocations.

Map A-2. Riparian Reserves, Late-Successional Reserves, and Adaptive Management Area Land Management Allocations. Appix A: Mp Mp A-. G pjt p. Mp A-. ipi v, Lt-Sui v, Aptiv Mgt A L Mgt Ati. Mp A-. t P gt ti witi t pjt (t giy Digt A u Wi Ivti A i t pjt buy). Mp A-. Attiv B Lggig yt,, u f uit i t pjt. Mp A-. Attiv B

More information

Nusinersen: The Case for FDA Approval Now

Nusinersen: The Case for FDA Approval Now Nu: T C FDA Appv Nw Tb C Nu F S... 3 Cmpv C w Ey Appv by FDA... 8 Nu C T D Ru Summy... 14 www.mvm.g My Bz: 352 362 2040 K My: 561 427 8629 Fm A SMA Tm T FAST Mvm W p gup p, vu w SMA, upp gz 2015 bv by

More information

TESA IP40 protection against dust (TLC) Connector for a forward thinking approach to your overall quality control system

TESA IP40 protection against dust (TLC) Connector for a forward thinking approach to your overall quality control system V : 30.0.20 P x VA www.p. V 22 - EN N P p k, Cp y w A V IP0: A IP0, E b p y, y 7, E! P I v p b A E k w p b f 3 p, w IP7, w-c p. A b PC k w EA IP7 B IP7 p q - I EA Lk C (LC) f fw k pp y v qy y A w y w p

More information

PRISON POLICY INITIATIVE ANNUAL REPORT

PRISON POLICY INITIATIVE ANNUAL REPORT PRISON POLICY INITIATIVE 2015-2016 2016-2017 ANNUAL REPORT N 2016 2017 PO Bx 127 N MA 01061 :// (413) 527-0845 1 T Ex D 1 W 3 P k 4 C R - 7 S j 8 B j 10 P x 12 P j 14 P 16 Wk 18 C x 19 Y P Nk S R 15 B

More information

UCM DEPARTMENT OF THEATRE & DANCE PRESENTS SEASON

UCM DEPARTMENT OF THEATRE & DANCE PRESENTS SEASON UCM DEPARTMENT OF THEATRE & DANCE PRESENTS BECOME A SEASON SUBSCRIBER! Dh m wh ym : UCM Dm f Th D Uvy f C M PO Bx 800 M 113 Wbg, MO 64093 A Cv Sy M A bb, y y k F bf h bx ff. T v y k f F g wh y k, h f h

More information

1. INTRODUCTION. Ll-5F 2 = 4(-l)" (1.1)

1. INTRODUCTION. Ll-5F 2 = 4(-l) (1.1) Ray Melham School of Mathematical Sciences, University of Technology, Sydney PO Box 123, Broadway, NSW 2007, Australia (Submitted April 1997) Long [4] considered the identity 1. INTRODUCTION Ll-5F 2 =

More information

Swords/Airport Ú City Centre Route Maps

Swords/Airport Ú City Centre Route Maps /p Ú p lb p b l v b f p Ú lb EWOW O l b l l E l E l pl E Þ lf IO bl W p E lb EIWY V WO p E IIE W O p EUE UE O O IEE l l l l v V b l l b vl pp p l W l E v Y W IE l bb IOW O b OE E l l ' l bl E OU f l W

More information

Students Elect New Queen; Court Reigns Campus Night. Outing Club Plans Climb. Voting for Campus Queen took. JLper peristyle, but a s U. of Conn.

Students Elect New Queen; Court Reigns Campus Night. Outing Club Plans Climb. Voting for Campus Queen took. JLper peristyle, but a s U. of Conn. GE 8 WC j j g E D g W C g R 08 WC E x g g N g W C C C g x E COLLEGE NEW RDY NOVEBER 3 96 U + K D C 62 X Og g 8-0 B Z D E 62 K B g g D W 62 K B g C E B 62 3-5 E N Q C Rg C Ng Og C C Vg C Q L] - = * L U

More information

Existence Theory: Green s Functions

Existence Theory: Green s Functions Chapter 5 Existence Theory: Green s Functions In this chapter we describe a method for constructing a Green s Function The method outlined is formal (not rigorous) When we find a solution to a PDE by constructing

More information

2.2. OPERATOR ALGEBRA 19. If S is a subset of E, then the set

2.2. OPERATOR ALGEBRA 19. If S is a subset of E, then the set 2.2. OPERATOR ALGEBRA 19 2.2 Operator Algebra 2.2.1 Algebra of Operators on a Vector Space A linear operator on a vector space E is a mapping L : E E satisfying the condition u, v E, a R, L(u + v) = L(u)

More information

w a s t h e t a r g e t f o r b i t t e r Gear* e d m y p o s i t i o n and. I s h a l l a c c e p t will ^travel a r o u n d t h e c o u n t r y, ;

w a s t h e t a r g e t f o r b i t t e r Gear* e d m y p o s i t i o n and. I s h a l l a c c e p t will ^travel a r o u n d t h e c o u n t r y, ; M M KER xor z > &5W3-> --1>-««K-U- - W - - - - ~ - -~-- >N!V- ---- - -> GENEROR MM GENE q - O F L N ; / U W 4 K -W RLPH GENZURG GERR RNGUHEO N F N L G H O - P -UM UN F - M W P W G

More information

MATERIAL IDENTIFICATION SYMBOLS EARTH GRAVEL GROUT THE FOLLOWING SYMBOLIC LINEWORK MAY BE USED: REFERENCE GRID LINE CENTERLINE PLAN MATCHLINE

MATERIAL IDENTIFICATION SYMBOLS EARTH GRAVEL GROUT THE FOLLOWING SYMBOLIC LINEWORK MAY BE USED: REFERENCE GRID LINE CENTERLINE PLAN MATCHLINE P UU M W P.W VW "P" M M H W M M M U:.P P,V,,, HU WH "P" H PP U U PJ H M M H.PP H VW P M M VW.UH VW PP WHH H H..UU V.H W V M U H UU W: @ H HZ & V V # UM U,M QU,U H W U HZ - HV H P - H P - H V HU XP UU V

More information

Get Funky this Christmas Season with the Crew from Chunky Custard

Get Funky this Christmas Season with the Crew from Chunky Custard Hol Gd Chcllo Adld o Hdly Fdy d Sudy Nhs Novb Dcb 2010 7p 11.30p G Fuky hs Chss Sso wh h Cw fo Chuky Cusd Fdy Nhs $99pp Sudy Nhs $115pp Tck pc cluds: Full Chss d buff, 4.5 hou bv pck, o sop. Ts & Codos

More information

Grilled it ems are prepared over real mesquit e wood CREATE A COMBO STEAKS. Onion Brewski Sirloin * Our signature USDA Choice 12 oz. Sirloin.

Grilled it ems are prepared over real mesquit e wood CREATE A COMBO STEAKS. Onion Brewski Sirloin * Our signature USDA Choice 12 oz. Sirloin. TT & L Gl v l q T l q TK v i f i ' i i T K L G ' T G!? Ti 10 (Pik 3) -F- L P ki - ik T ffl i zzll ik Fi Pikl x i f l $3 (li 2) i f i i i - i f i jlñ i 84 6 - f ki i Fi 6 T i ffl i 10 -i i fi & i i ffl

More information

S JF MPACT FACTOR: J u Ju S S A d Hum S z & Ddz V 4 N 2 SSN: Adu g, d y umd m d du, g ud y Juv u u u dy g qud y T, du ud d g y m, d y, ug d vd d

S JF MPACT FACTOR: J u Ju S S A d Hum S z & Ddz V 4 N 2 SSN: Adu g, d y umd m d du, g ud y Juv u u u dy g qud y T, du ud d g y m, d y, ug d vd d S JF MPACT FACTOR: 2 996 J u Ju S S A d Hum S z & Ddz V 4 N 2 SSN: Ju S S A d Hum V 4 N 2 2017 P 38-42 Cyg CRDEEP A Rg Rvd F u Lg R P A C S udy C u J uv D quy d dug E du m u P v mm: Pdgg- Pyg u O dg vu

More information

The European. Ombudsman. for business

The European. Ombudsman. for business G O D O Th E Ob f b EN Whh b SME, wh h EU b, h E Ob b f h EU. If b h fwk f EU-f j, f f fw wh h EU h f,, bb, f, h E Ob h. E O R E Ob Pb f b b wh h EU : L C Pb wh f Lk f /f f P U V f f h I h, h E Ob f b.

More information

Crew of25 Men Start Monday On Showboat. Many Permanent Improvements To Be Made;Project Under WPA

Crew of25 Men Start Monday On Showboat. Many Permanent Improvements To Be Made;Project Under WPA U G G G U 2 93 YX Y q 25 3 < : z? 0 (? 8 0 G 936 x z x z? \ 9 7500 00? 5 q 938 27? 60 & 69? 937 q? G x? 937 69 58 } x? 88 G # x 8 > x G 0 G 0 x 8 x 0 U 93 6 ( 2 x : X 7 8 G G G q x U> x 0 > x < x G U 5

More information

Modes and Roots ... mx + bx + kx = 0. (2)

Modes and Roots ... mx + bx + kx = 0. (2) A solution of the form x(t) = ce rt to the homogeneous constant coefficient linear equation a x (n) + (n 1). n a n 1 x + + a 1 x + a 0 x = 0 (1) is called a modal solution and ce rt is called a mode of

More information

Strongly chordal and chordal bipartite graphs are sandwich monotone

Strongly chordal and chordal bipartite graphs are sandwich monotone Strongly chordal and chordal bipartite graphs are sandwich monotone Pinar Heggernes Federico Mancini Charis Papadopoulos R. Sritharan Abstract A graph class is sandwich monotone if, for every pair of its

More information

Existing Conditions. View from Ice Rink Patio. Ice Rink Patio. Beginner Terrain and Lighting. Tubing Hill. Little Tow & Beginner Terrain

Existing Conditions. View from Ice Rink Patio. Ice Rink Patio. Beginner Terrain and Lighting. Tubing Hill. Little Tow & Beginner Terrain Bg T Lghg Tubg Hll Ic k P T f Bg T V f Sc Accss Nh Ll T & Bg T I Ex T Mc Bulg B f Bg T Pkg L & g Wll V f Ic k P MA S TE Bs A & Lghg Z E H E N AN ASSOCIATES, INC. ACHITECTUE PLANNING INTEIOS LANSCAPE ACHITECTUE

More information

Vertex Operator Algebra Structure of Standard Affine Lie Algebra Modules

Vertex Operator Algebra Structure of Standard Affine Lie Algebra Modules Vertex Operator Algebra Structure of Standard Affine Lie Algebra Modules p. 1/4 Vertex Operator Algebra Structure of Standard Affine Lie Algebra Modules Christopher Sadowski Rutgers University Department

More information

RADICALS AND BIMODULES

RADICALS AND BIMODULES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 38, Number 1, March 1973 RADICALS AND BIMODULES D. M. FOSTER Abstract. In 1964, Andrunakievic and Rjabuhin showed that the general theory of radicals

More information

Mains LasagneAlForno LinguineCarbonara PenneGorgonzolawithRocket VPenneSorrentino(Addchickenfor 1) VLasagneVerdura

Mains LasagneAlForno LinguineCarbonara PenneGorgonzolawithRocket VPenneSorrentino(Addchickenfor 1) VLasagneVerdura EyBMnu AbMn-S FOnbf6pm 2Cu 3 3Cu 6 S VTmnm VTmnm VMuhmbknmnh whwhupu VMn VMuhmng VCbbn VGB VGBM VGBM VBuh Mn LgnAFn LngunCbn PnnGgnwhRk VPnnSnnAhknf VLgnVu VAubgnPmgn VAubgnPmgn CnnnVuSpnhGgn LngunBgn

More information

Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2

Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2 Internal Innovation @ C is c o 2 0 0 6 C i s c o S y s t e m s, I n c. A l l r i g h t s r e s e r v e d. C i s c o C o n f i d e n t i a l 1 Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork

More information

1. Be a nurse for 2. Practice a Hazard hunt 4. ABCs of life do. 7. Build a pasta sk

1. Be a nurse for 2. Practice a Hazard hunt 4. ABCs of life do. 7. Build a pasta sk Y M B P V P U up civii r i d d Wh clu dy 1. B nur fr cll 2. Prcic 999 3. Hzrd hun d 4. B f lif d cld grm 5. Mk plic g hzrd 6. p cmp ln 7. Build p k pck? r hi p Bvr g c rup l fr y k cn 7 fu dr, u d n cun

More information

Chapter 5: Quantization of Radiation in Cavities and Free Space

Chapter 5: Quantization of Radiation in Cavities and Free Space Quu O f Ph Ol Fh R Cll vy Ch 5: Quz f R Cv F S 5 Cll ly 5 Cll Cvy ly Mxwll u f lg J 4 h lv l C fl vy W f h g f h vy Th vy u luly ll W l u h J Cvy F Mxwll u v h wv u Th v u lv h f h fu h vy I w wh h v l

More information

An Abstract Interpretation Framework for Refactoring with Application to Extract Methods with Contracts

An Abstract Interpretation Framework for Refactoring with Application to Extract Methods with Contracts I k E M C k C C EN CN INI & NYU CN EN INI @ y @ Lzz M M zz@ M y IDE I - y W y W q : y; y y y; yz y ; y q j W I y y /y y /k W W j - y W - CCCk M y C O y C j D D [D q]: D G D q/ D D q D4 / V D5 D G D D E

More information

HOTEL/MOTEL BATHROOM ACCESSORIES

HOTEL/MOTEL BATHROOM ACCESSORIES H BH H VB FNH PHD H PHD B D PN B F (D ) UN DPN FNH D # QY. B PN PHD H 01-1001 50 V Z: 1 7 16"W x 3 1 4"H x 1"D. PHD B 05-PB1001 50 GN BG W HNG PD Z. P ND UDY NN. V Z: 1 7 8"D x 1 7 8"PJN. F HU PFN N. W-N

More information

Abstract. In this article, several matrix norm inequalities are proved by making use of the Hiroshima 2003 result on majorization relations.

Abstract. In this article, several matrix norm inequalities are proved by making use of the Hiroshima 2003 result on majorization relations. HIROSHIMA S THEOREM AND MATRIX NORM INEQUALITIES MINGHUA LIN AND HENRY WOLKOWICZ Abstract. In this article, several matrix norm inequalities are proved by making use of the Hiroshima 2003 result on majorization

More information

Lecture 13 The Fundamental Forms of a Surface

Lecture 13 The Fundamental Forms of a Surface Lecture 13 The Fundamental Forms of a Surface In the following we denote by F : O R 3 a parametric surface in R 3, F(u, v) = (x(u, v), y(u, v), z(u, v)). We denote partial derivatives with respect to the

More information

Kosciuszko. National Park. Free 2012 Guide

Kosciuszko. National Park. Free 2012 Guide Kcuzk N Pk F 2012 Gu c h 2011 Gu Kcuzk N Pk Kcuzk N Pk h g k N f h g cv v Au. h Pk c 1944 UNCO h v. c c Au hgh u g v f ug c, u fu cu. h bg c, bu h h u c h f, v hc h x gb Cv. -u k h kg hughu h. h cc v hugh

More information

LOWELL WEEKLY JOURNAL

LOWELL WEEKLY JOURNAL Y G Bk b $ 6 G Y 7 B B B B - BB -BY- B Bk B Qk Q k Q k B g (- -- k Bk G Bk k q B - - - - - $ gb q g bg g g b b q )( 6 B 7 B B k 6 g k 6 B b Y k b - b b k b b b g ( \ bg Y b b k b /% /% b k b b g Y Y k

More information

Summer. vol. 8 issue #2

Summer. vol. 8 issue #2 vl. 8 u #2 Su 3 H, Expl! bk, u I ply b v u y wk w p! T w wk ply. T d bu. Cck u! u ll p.3 Rb pcu p 2017 Cp Expl Mz? H yu cp! Bu I wd pk ubll! Jd, 9 O Vlly, Az. All, 12 Ak, O Wy? G!. cp! v lu p p.4 Tz d

More information

Wealth Planning. Wealth Accumulation. Wealth Pr eser vation. Securities offered through LPL Financial, Member FINRA/SIPC

Wealth Planning. Wealth Accumulation. Wealth Pr eser vation. Securities offered through LPL Financial, Member FINRA/SIPC Wl Plig. Wl Aumuli. Wl P vi. Suii d ug LPL Fiil, Mmb FINRA/SIPC A F u u A F Fu uu l iflu ll mi l l m Suig yu dm k d gy, lvig lil im wl mgm. W k pibiliy yu d wil lpig yu puu yu gl. Wi u yu wl dvi, yu will

More information

Thank You! $20,000+ Anonymous

Thank You! $20,000+ Anonymous T D $20,000+ Ay $10,000+ Fll Fly Cbl T Ew & S Vbl $5,000+ Ay M. & M. T Fll M. Fl H. Hwz D. & M. G A. Ky $2,500+ M. Plp J. Bly, III J & Klly Bzly S T. & My C. Fll Mk & E G R Hy Jy & Ell Jll Fly Ly F Cy

More information

,,,,..,,., {. (, ),, {,.,.,..,,.,.,,....... {.. : N {, Z {, Q {, Q p { p{ {. 3, R {, C {. : ord p {. 8, (k) {.42,!() { {. 24, () { {. 24, () { {. 25,., () { {. 26,. 9, () { {. 27,. 23, '() { ( ) {. 28,

More information

Derivation of the Lorentz transformation from a minimal set of assumptions

Derivation of the Lorentz transformation from a minimal set of assumptions Derivation of the Lorentz transformation from a minimal set of assumptions Edited by S.LeBohec June 28 th 2014 1 Introduction Originally, the Lorentz transformation was derived from the following assumptions

More information

Prayer. Volume III, Issue 17 January 11, Martin Luther King Jr. Prayer. Assumption Catholic School 1

Prayer. Volume III, Issue 17 January 11, Martin Luther King Jr. Prayer. Assumption Catholic School 1 Vm III, I 17 J 11, 2017 TROJAN NEW W Rpb Cz, E Cmm, L L L, d A Ch wh bd mm d mk p. P M Lh K J. P Gd h h h Am d A h wd, W w h h hh w; w whh M w h bh. A w whh h h wd w B h wd pwh, Ad h p p hk. A w whh m

More information

Proposition 42. Let M be an m n matrix. Then (32) N (M M)=N (M) (33) R(MM )=R(M)

Proposition 42. Let M be an m n matrix. Then (32) N (M M)=N (M) (33) R(MM )=R(M) RODICA D. COSTIN. Singular Value Decomposition.1. Rectangular matrices. For rectangular matrices M the notions of eigenvalue/vector cannot be defined. However, the products MM and/or M M (which are square,

More information

Revised on 06 Aug 2014 Part I

Revised on 06 Aug 2014 Part I ERRATA LIST Robust and Adaptive Control with Aerospace Applications 1 st Edition, Springer, 013 Eugene Lavretsky and Kevin A. Wise Revised on 06 Aug 014 Part I Introduction 1) Page 10, change the p equation

More information

New Bern. south corridor station area plans. Transit Station Area Plan. Uptown. South End. New Bern. Scaleybark. Woodlawn. Tyvola. Archdale.

New Bern. south corridor station area plans. Transit Station Area Plan. Uptown. South End. New Bern. Scaleybark. Woodlawn. Tyvola. Archdale. p Up b I-485/ O Y LO IY OUIL JULY 28, 2008 2009 O OLI VI OLLI OUIG LIG IL GOY b b x V I: p 1 x 3 3 3 Opp 4 V 6 G 6 L U 9 9 G 11 b 12 p p 14 p/ 14 p 16-16 - F L 16 - L 20 21 O/ - 22 L - 23 F / - 24 I b

More information

Lecture 7 Open-loop & closedloop experiments. The Bias Formula goes closed-loop and the returns

Lecture 7 Open-loop & closedloop experiments. The Bias Formula goes closed-loop and the returns Lecture 7 Open-loop & closedloop experiments The Bias Formula goes closed-loop and the returns Closed-loop vs open-loop Open-loop system disturbance Feedback-free system input output Control input independent

More information

Advanced Process Control Tutorial Problem Set 2 Development of Control Relevant Models through System Identification

Advanced Process Control Tutorial Problem Set 2 Development of Control Relevant Models through System Identification Advanced Process Control Tutorial Problem Set 2 Development of Control Relevant Models through System Identification 1. Consider the time series x(k) = β 1 + β 2 k + w(k) where β 1 and β 2 are known constants

More information

FULL PRESCRIBING INFORMATION

FULL PRESCRIBING INFORMATION HIGHLIGHTS OF PRESCRIBING INFORMATION T gg f G f ffv S f pbg f f G G (p p j) INJECTION, GEL f INTRAMUSCULAR SUBCUTANEOUS I US Appv: 192 ---------------------------------------INDICATIONS AND USAGE ---------------------------------------

More information

Remember. Passover: A Time. The to

Remember. Passover: A Time. The to v: im kill ml lmb i m. ibl xli Ci v lmb i (1 Cii 5:7). i ii m l ii i l bk ( 19:32). mmb G i li b v l bk b v lmb. i b i v i b bk i iixi ( 19:33). i lm bv v. v i v lb? Mb mmb i l m bk x li i b i. i li b

More information

Inner Product Spaces 5.2 Inner product spaces

Inner Product Spaces 5.2 Inner product spaces Inner Product Spaces 5.2 Inner product spaces November 15 Goals Concept of length, distance, and angle in R 2 or R n is extended to abstract vector spaces V. Sucn a vector space will be called an Inner

More information

The Spectral Theorem for normal linear maps

The Spectral Theorem for normal linear maps MAT067 University of California, Davis Winter 2007 The Spectral Theorem for normal linear maps Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (March 14, 2007) In this section we come back to the question

More information

10.3 The Quadratic Formula

10.3 The Quadratic Formula . Te Qudti Fomul We mentioned in te lst setion tt ompleting te sque n e used to solve ny qudti eqution. So we n use it to solve 0. We poeed s follows 0 0 Te lst line of tis we ll te qudti fomul. Te Qudti

More information

Remote Sensing Applications for the Historic Environment

Remote Sensing Applications for the Historic Environment m S App H Em L H Em m S 4 C B P m k m m. B m S App H Em L H Em m S 4 m C A Im H Em. B m m H Lp U S D m S C U P m k B m S App H Em L H Em m S 4 m A m A W k? A pp :. Tpp. Px. mk.. S S mk.. Cp S mk B m m

More information

«Random Vectors» Lecture #2: Introduction Andreas Polydoros

«Random Vectors» Lecture #2: Introduction Andreas Polydoros «Random Vectors» Lecture #2: Introduction Andreas Polydoros Introduction Contents: Definitions: Correlation and Covariance matrix Linear transformations: Spectral shaping and factorization he whitening

More information

OPTIMAL CONTROL SYSTEMS

OPTIMAL CONTROL SYSTEMS SYSTEMS MIN-MAX Harry G. Kwatny Department of Mechanical Engineering & Mechanics Drexel University OUTLINE MIN-MAX CONTROL Problem Definition HJB Equation Example GAME THEORY Differential Games Isaacs

More information

Bulletin of the. Iranian Mathematical Society

Bulletin of the. Iranian Mathematical Society ISSN: 1017-060X (Print) ISSN: 1735-8515 (Online) Bulletin of the Iranian Mathematical Society Vol. 42 (2016), No. 1, pp. 129 141. Title: On nonlocal elliptic system of p-kirchhoff-type in Author(s): L.

More information

Random Variables and Probability Distributions

Random Variables and Probability Distributions CHAPTER Random Variables and Probability Distributions Random Variables Suppose that to each point of a sample space we assign a number. We then have a function defined on the sample space. This function

More information

Noncommutative Double Bruhat Cells and Their Factorizations. Arkady Berenstein and Vladimir Retakh. 1 Introduction

Noncommutative Double Bruhat Cells and Their Factorizations. Arkady Berenstein and Vladimir Retakh. 1 Introduction IMRN International Mathematics Research Notices 2005, No 8 Noncommutative Double Bruhat Cells and Their Factorizations Arkady Berenstein and Vladimir Retakh 1 Introduction This paper is a first attempt

More information

LLOQ=UWQOW=^j @ LOW O LOO O U L U LO U O OOLL L L LOW U O O LO OUU O OOLL U O UO UO UX UXLY UL UOO Y Y U O OOLL O Y OUU O OOLL U L U U L U OU OO O W U O W ULY U U W LL W U W LL W ULY ULO K U L L L OOL

More information

The first order quasi-linear PDEs

The first order quasi-linear PDEs Chapter 2 The first order quasi-linear PDEs The first order quasi-linear PDEs have the following general form: F (x, u, Du) = 0, (2.1) where x = (x 1, x 2,, x 3 ) R n, u = u(x), Du is the gradient of u.

More information

Introduction to 3D Game Programming with DirectX 9.0c: A Shader Approach

Introduction to 3D Game Programming with DirectX 9.0c: A Shader Approach Introduction to 3D Game Programming with DirectX 90c: A Shader Approach Part I Solutions Note : Please email to frank@moon-labscom if ou find an errors Note : Use onl after ou have tried, and struggled

More information