Chapter 7 Yielding criteria

Size: px
Start display at page:

Download "Chapter 7 Yielding criteria"

Transcription

1 Chat 7 Yiling itia. Citia fo yiling What is th maning about yil ition? In this as th stss is un-axial an this oint an aily b tmin. But what if th a sval stss ating at a oint in iffnt ition? Th itia fo iing whih ombination of multi-axial stss will aus yiling a all itia.. Thoy of yil ition- A Tsa ition Yiling will ou whn th maximum sha stss ahs th valus of th maximum sha stss ouing un siml tnsion. Th maximum sha stss in multi-axial stss th maximum sha stss in siml tnsion max,, 換 言 之, 最 大 剪 應 力 為 材 料 就 降 伏

2 Fo u sha k k k 又 k k Fo u sha k stat, th yiling is han if k Th von-miss yil ition Yiling bgin whn th otahal sha stss ahs th otahal sha stss at yil in siml tnsion. τ ot τ ot, o 又

3 6 ot x y y z x z xy yz zx τ τ τ τ τ ot, o 註 : τ ot, o 為 八 面 體 上 之 剪 應 力 故 由 τot τot, o 得 x z x y x z 6 τxy τ yz τzx 換 言 之, 八 面 體 之 剪 應 力 為 材 料 就 降 伏 Fo th inial stss 又 [ 6 x y y z x z xy xz yz ] J τ τ τ 6 得 J o Fo th as of u sha

4 k, 6 k k 註 : k 為 純 剪 應 力 之 大 小 故 von-miss yil 可 簡 化 為 : z J k Disussion: Fo Tsa ition Fo Von-Miss Yil ition kt.5 kv.577 k > k V T Yil sufa an Haigh-wstgaa stss sa Fom th yiling ition, th sha onition in multi-axial stss th sha onition in siml tnsion F K k < > : Th stss stat k : obtain fom siml tnsion 4

5 Yil sufa An Haigh-Wstgaa stss sa Fom th fom of yiling ition. That is Th sha onition in multiaxial stss Th sha onition in siml tnsion F K k obtain fom siml tnsion Th stss stat A. Rsnts a hy sufa in th six-imnsional stss sa, any oint on this sufa snts a oints a oint at whih yiling an bgin an funtion is all th yiling funtion. Th sufa in th stss sa is all th yil sufa. Sin th otating th axs os not afft th yiling stat, w an hoos th inial axs fo th ooinats. F,, K Futhmo, sin it is always assum that hyostati tnsion o omssion os not influn yiling, w an assum that only th stss viatos nt into th yiling funtion. f s, s, s K 5

6 an s, s, s an b witn in tms of th invaiants J, J, J J s s s Wh J s s s J s s s f J, J K k Fo von-miss itial τot s s s o 和 m無 關 J o J o k, an k is th yil in u sha. Fo Tsa ition: m m ss o 和 m無 關 4J 7J 6k J 96k J 64k 4 6 B. Haigh-Wst-gaa stss sa. > yiling ition an b xss as funtion of,, 6

7 故 可 以,, 為 座 標 軸, 可 得 函 數 圖. Th inial,, ooinat systm snts a stss sa all th Haigh-wWst-gaa stss sa. uuu Consi a lin ON whih assing though th oigin, an having qual angls With th ooinat s axs, thn vy oint on this lin is m 即 該 線 之 點 皆 為 靜 水 壓 應 力 uuu Th lan niula toon, its quation will b ρ Wh uuu uuu ON OPg uuu ρ an ρ : is th istan fom oigin to th lan ON 7

8 an, is th lan all π-lan. An this is th u sha stss onition. uuu u uuu ON A A OP m ON An uuu u u u B P A i j k m m m B m m m s s s Q J s s s ss B J # an J von Miss u B J > th omonnts of B a thfo th stss > iatos s, s, s uuu u u u u ON B P A B m uuu J u at Haigh - Wst - gaa stss sa ON B Sin it is assum that yiling is tmin by th iatoi stat of stss only, it follows that if on of th oints on th lin uuu though aalll to ON lis on th yil sufa > thy must all li on th yil sufa, sin thy all hav th sam iatoi stss omonnts. Hn th yil sufa must b omos of lins uuu aalll to ON ; i., it must b a ylin with gnatos aalll to uuu ON. 8

9 Not: a Th intstion of this yil ylin with any lan niula to it will ou a uv all th yil lous. Sin this uv will b th sam fo all lans niula to th ylin. > Fo this uos w hoos th π-lan whih m. b If, as usual, isotoy is assum so that otating th axs os not afft th yiling. That mans a lin niula to, ;, ;, ; a thfo lins of symmty an w now hav six symmti stos.,-,,-,,- Th yil sufa must b symmti in th inial stss sin it tainly os not matt. 9

10 > Hn, w hav ivi th yil lous into symmti stos, ah of o. an w n only onsi th stss stats lying in on of ths stos. C. Th stss in π-lan a os os / b sin sin 6 a b m m m J b 6 tan tan tan a > > tan if Fo von Mis yil ition

11 J o o Th yil lous is thfo a il of aius o NoT: a.fo tan an m at π-lan, That mans is u sha stat m b fo, fom tan > uniaxial stss If th yil lous is assum to b onvx, th bouns on yil loi will b btwn C' A B' an C A B.

12 A yiling uv blow CAB Whih ass th C, A, B oint will not b onvx is all low boun. a yiling uv outsi C C' A B' B whih ass th C,A,B oint will not b onvx also is all u boun. 4 Subsqunt yil sufas, Loaing an unloaing 前 面 所 討 論 的 是 "initial yil" 之 問 題, 但 若 yiling 後, 其 yiling sufa 會 如 何 呢? 即 "stain hans" 之 問 題 Fo a yil Funtion F k 加 工 硬 化 方 程 式 An k is a valu wih fin a yil sufa. an stain-han funtion F is loaing funtion. Aft yiling has ou, k tak on a nw valu, ning on th stain-haning otis of th matial. Aft yiling has ou, k taks on a nw valu, ning on th stain-haning otis of th matial.

13 A. Loaing an unloaing fo a stain-haning matial Th ass fo a stain-haning matial: A B C Loaing lasti flow is ouing. F k, F > Nutal loaing stss stat moving on yil sufa. F k, F unloaing F k, F < Not: 若 取,, 為 座 標 軸, F j j i j j u uu F i j uu u F : 表 示 垂 直 yil sufa 之 向 量 i j j uu uu : 任 意 增 量 向 量 故 F j < j 表 示 曾 增 加 向 量 為 unloaing B. Subsqunt yil loi A Isotoi haning If ' >, thn th nw yil lous is a il of aius ' fo von-misss ition, whih is lag than, but onnti with, th oigin yil il. Th matial is all stain han isotoially.

14 B Baushing fft 註 : 可 發 現 當 剪 應 力 走 不 同 方 向 時, 橢 圓 不 在! Pag Kinmati mol Assum : a Th igi fam having th sha of th yil sufa bth fam is assum to b onstain against otation an to b ftly smooth, so that only fos nomal to th fam an b tansmitt to it. Th stat of stss an th stat of stain a snt in th mol in iffnt ways, Fo xaml, fo a igi stain-haning 4

15 matial, th islamnt of nt of th fam lativ to th oigin is ootional to th total stain, an th stat of stss is snt by th osition of th in lativ to th oigin. Not: th isotoi haning assumtion is still gnally us. Fo small lasti stain it obably givs answs that a suffiintly auat. 5

16 6,Plasti stss-stain lations- 在 彈 性 區 之 應 力 和 應 變 之 關 係 已 經 討 論 過 現 在, 則 更 進 一 步 討 論 塑 性 區 之 stss-stain. Gnal ivation of lasti stss-stain lations. not: 所 有 的 運 算 皆 為 向 量 法 則 Fo obtaining gnal stss-stain lation, two finition an two assumtion a n. Dfinition: apositiv wok is on by xtnal agny uing th aliation of th st of stss. > bth nt wok fom by it ov th yl of aliation an moval is zo o osition. lt lasti stain nggy Assum:aA loaing funtion xists. At ah stag of th lasti fomation th xists a funtion so that futh lasti fomation taks la only fo > k an on th stain histoy. Both an k may n on th xisting stat of stss 6

17 lina: bth lation btwn infinitsimals of stss an lasti stain is G F Not: a may b funtions of stss, stain, an histoy of loaing that imlis thy a innnt of th bfom assumtion, it follows that fo lasti may b ali to th stss an stain inmnts. If '' an a two inmnts ouing lasti stain ' inmnts, '' an.an ' '' Bl : inmntal stss niula to f ' Bl : inmntal stss tangnt to f ' B l ou no lasti flow 延 著 硬 化 方 程 式, 繞 著 走 依 然 是 彈 性 範 圍 ' '' '' Fom assumtion. ' '' Fom assumtion. F > ' ' '' Q F > '' an a F a > 7

18 Fom F a > '' F a F F k l F F G F G F an G C k is all otntial funtion k Fom finition. ' '' k k ' Baus ou no W an hos any onst. ositiv o ngativ, ' '' ' will ou th sam < lasti inmnt ' G F Q F > ' G ' GF G is a onstant whih may k G G Ck b funtion of stss, stain an histoy of loaing k k 8

19 f G F GF λ Haning valu ^ 垂 直 yil lous之 方 向 梯 度 λ: is a nonngativ onstant whih may vay though out th loaing histoy > Th lasti stain inmnt vto must b nomal to th yil sufa. '' Not : Fom G F F G '' F 之 增 加 由 控 制, 而 F 則 為 yil lous 半 徑 增 加 量 '' 一 Th flow uls assoiat with von-miss an Tsa 一 Fo th von-miss yil funtion F J s s 6 o s s Fom GF GF s m s GFs λs Paatl - Russ quation 9

20 二 Fo Tsa yil funtion Assuming it is known whih is th maximum inial stss an minimum inial stss, > > F,, o λ λ a known as th flow uls assoiat with th von-miss an Tsa itia. 二.Pftly Plasti Matial Fo ial lastiity it is also assum that F xists an is funtion of stss only, an that lasti flow tak la without limit whn F k, an th matial bhavs lastially whn F Fo lasti flow. F // λ <k.

21 // λ wh λ is a sala. 三.Dtmination of th funtion G.. Efftiv stss an stain 一 Efftiv stss Fom yil ition F K o f Fom uni-axial tnsil tst. 即 左 式 為 多 軸 壓 力 狀 態, 可 相 對 某 一 值, 若 該 值 等 於 則 降 伏 稱 之 fftiv stss. Dfinition F K J Fo Von-Miss s ' s, ss Not: 當 降 伏 時, 即 應 力 之 降 伏 相 當 於 單 軸 應 力 之 降 伏. 二 Efftiv lasti stain Fom th finition of lasti wokefftiv lasti wok s If lasti flow is han s s an ss Gλs s Gλ

22 Fo Von-miss ition x y z xy yz zx Fo uniaxial tns it tst y x, z x x 即 降 伏 之 塑 性 應 變 當 於 單 軸 應 力 之 降 伏 即 s x 塑 性 功 能 不 變 法 則 達 到 塑 性 狀 態 所 所 需 之 功 和 過 程 無 關 三 Dtmination of th Funtion G. Fom GF an GF FG ' ' Th slo of th uniaxial stss-lasti stain uv at th unt valu of

23 Fo Von-Miss ition s, s s Q ss s, s s s s s ' s Q ss s s ' s s Th flow ul assoiat with von miss yil ition o s s v v i j vi, x x j j s s ' an s If th vloity fil is know v v i j vi, x x j j

24 s will b know, If in lasti stat.? Inmntal an fomation thois s s Fo a all inmntal stss-stain lations baus thy lat th inmnts of lasti stain to th stss. Fo th as of ootion o aial loaing i. if all th stss a inasing in atio stss isk o ylins, th inmntal thoy us of th fomation thoy. s K K IF s s monotonially inasing funtion of K an K is Thn s Ks K s s s Th lasti stain is a funtion only of th unt of stss an is innnt of th loaing ath.?convxity of yil sufa. Singula oints. 一. Convxity of yil sufa Lt som xtnal agny a stsss along som abitay ath insi th sufa until a stat of stss is ah whih is on th 4

25 yil sufa. Now suos th xtnal agny to a a vy small outwa oint stss inmnt whih ous small lasti stain inmnts, as oll as lasti inmnts. Th wok on by th xtnal agny ov th yl is Elastolasti oblms of shs an ylins 一 Shial ooinats Th oblms of shs φ φ a Th quilibium quation φ sinφ φ sinφ sinφφ volum F an F boy fo unit b Th stain-islamnt o omatibility lation 5

26 6 > < > < u Fom u u φ φ, ~~~~~, Th stss-stain lation E E E φ µ µ µ µ ] [ ] [ Ⅰ. Von-Mis yil funtion ] [ 6, S S J J an, Ⅱ.Panfl-uss Equation Fom S sgn 二 Pola ooinats-fo ylins oblms Th quation of quilibium of stss F Th stain-islamnt lations o omatibility quation u u, z

27 7 Th stss-stain lation ] [ ] [ ] [ z z z z E E E µ µ µ NOTE: fo th as of lan stss, z,an fo th as of lan stain z o. z onst fo gnaliz stain. In both ass th sta stsss an stains a zo. 三 Thik Hollow sh with intnal ssu Consi a sh with inn aius a an out aius b, subjt to an intnal ssu P. It is obvious that omlt symmty about th nt will xist so that th aial an any two tangntial ition will b inial ition. Elasti solution ] [ E E Fom µ µ µ an quabhuiums quations omatituibility E E ] [ µ µ µ

28 8 µ µ µ µ Fom lt D z z z z z ϑ ϑ, 原 式 ϑ y z h y Λ ϑ ϑ ϑ ϑ y y y h Fom bounay onition b b a P a, a b b Pa a b Pa a b Pa a b a b Pa a b Pa a b b a Fo onvnin th following imnsionlss quantitis a now intou:,, a a b ρ β,, S S P P β ρ β ρ β ρ β ρ P P S S w an : som stat of stss insi

29 th loaing sufa π π Q os aut angl π π Q osψ aut angl Fo onvx sufa No vto an ass outsi th sufa intsting th sufa twi. Th sufa must thfo b onvx. π π at ψ onition 9

30 Fo sufa is not onvx If th sufa is not onvx, th xist, som oints, suh that th vto fom an obtus angl. 二. Singula oint- Th yil sufa has vtis o ons wh th gaint is not fin Tsa hxagon. Suh oint an b tat by intouing an auxiliay aamt. 7.Aliation To solv any lastiity oblm, fou sts of lations must b satisfi as: a Th quation of quilibium of stss f j x j b Th stain-islamnt o omatibility lations: u u i j x j xi ii fo lastiity

31 Th stss-stain lations I Von-Miss yil funtion J, J s s II Pantl-Russ Equations s an Th bounay onitions stss-bounay l i τ j islamnt-bounay uj U ss Tst by tnsil-tt J 6

32 If w know, thn any oint stss oul b know. m If uvs a now awn in th xy lan suh that at vy oint of ah uv th tangnt oinis with on of maximum sha ition, Th two familis of uvs all sha lins, o sli lins. α lin β lin Not:<a> α, β a mly aamts o uvilina ooinats us to signat th oint un onsiation, just as x an y signat th oint. <b>tak a uv lmnt, Fom mon s yls

33 Fom x u v x y v v x y x, y, xy t x t y y x v os vsin αβ, vy sin vβ os m K along α lin m K along β lin If w hoos th α, β uv lina ooinat systm,, x α y β m K α α m K along α-uv m m K along β-uv K β β Hnky quation, Fom bounay onition, w obtain, If w know,,, τ m x y xy 三. Giing Vloitis quation Fom Pantl-Russ quation, an inomssibility onition x y x y x y x y s τ xy τ xy xy xy ii x y x y u u x y u u x y an x, y, xy x y y x x ux v v x y v v x y x, y, xy t x t x y y x

34 v v x y x y x y v v x y τ xy y x v v x y x y Sin th inial axs of stss an stss an of lasti stain inmnt oini, it follows that th maximum sha stss lins an maximum sha vloity lins oinis, o th stss sli lins a th sam as th vloity sli lin. th stain ats nomal to th α an β ition a qual to th man stain at, that man. α β x y Th a no xtnsion, only t t shaing flows in th sli ition. 在 靜 水 壓, 方 向 無 應 變 率 Now onsi th vloitis in th sli ition An vx vα os vβ sin vy vα sin vβ os Tak α, β uv-lin ooinat an vx vα α vβ x α α vy v β β vα y β β vα vβ along a α lin vβ vα along a β lin Giing vloitis quation 四.Gomty of th sli-lin fil 4

35 Hnky s fist law th angl btwn two sli lins of on family at th oints wh thy a ut by a sli lin of th oth family is onstant along thi lngths. Fom Hnky s quation m K along α lin m K along β lin along AD-α-lin md K D along DC-β-lin md mc 4K K K K K 4K D ma 4K 4K 4K 4K D B C A D B C A A B D C A C C A B along AD-α -lin ma KA md K D along DC-β -lin md KD mc KC 4K K K mc ma D A Th sam mtho along AB an BC D C K K 4K mc D B C A D B C A A B D C ma C A 4K K K K K 4K A C C A 4K 4K 4K 4K B B 5

36 Maximum An Otahal sha stss 一. Maximum sha stss Lt us tak th ooinat axs in th inial ition. An any stion ition is v l i nj mk v j Fom vi Tvj v T, v T, v T v v v uuuu Tv Tvg Tv v v v 6

ME 612 Metal Forming and Theory of Plasticity. 6. Strain

ME 612 Metal Forming and Theory of Plasticity. 6. Strain Mtal Forming and Thory of Plasticity -mail: azsnalp@gyt.du.tr Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.

More information

Physics. Lesson Plan #9 Energy, Work and Simple Machines David V. Fansler Beddingfield High School

Physics. Lesson Plan #9 Energy, Work and Simple Machines David V. Fansler Beddingfield High School Physics Lsson Plan #9 Engy, Wok an Simpl Machins Davi V. Fansl Bingfil High School Engy an Wok Objctivs: Dscib th lationship btwn wok an ngy; Display an ability to calculat wok on by a foc; Intify th foc

More information

The Casino Experience

The Casino Experience Th Casino Expin with Mahi s authnti Indian uisin Lt us nttain you Th Casino Expin 10 Th Staight Flush Expin 20 p ps If you looking fo a gat night out, a Casino Expin patnd This is a gat intoduti to gaing

More information

at 10 knots to avoid the hurricane, what could be the maximum CPA? 59 miles - 54 nm STEP 1 Ship s Speed Radius (e-r) 10 k - 1.0 nm every 6 minutes

at 10 knots to avoid the hurricane, what could be the maximum CPA? 59 miles - 54 nm STEP 1 Ship s Speed Radius (e-r) 10 k - 1.0 nm every 6 minutes :1 Navigatio :1 Gal 1 1 1 Rf: P, Huica You a udway o cous T ad you axiu spd is 1 kots. Th y of a huica bas 1 T, ils fo you positio. Th huica is ovig towads T at 1 kots. If you auv at 1 kots to avoid th

More information

Problem Solving Session 1: Electric Dipoles and Torque

Problem Solving Session 1: Electric Dipoles and Torque MASSACHUSETTS INSTITUTE OF TECHNOLOGY Dpatmnt of Physics 8.02 Poblm Solving Sssion 1: Elctic Dipols and Toqu Sction Tabl (if applicabl) Goup Mmbs Intoduction: In th fist poblm you will lan to apply Coulomb

More information

HEAT TRANSFER ANALYSIS OF LNG TRANSFER LINE

HEAT TRANSFER ANALYSIS OF LNG TRANSFER LINE Scintific Jounal of Impact Facto(SJIF): 3.34 Intnational Jounal of Advanc Engining and sach Dvlopmnt Volum,Issu, Fbuay -05 HEAT TANSFE ANALYSIS OF LNG TANSFE LINE J.D. Jani -ISSN(O): 348-4470 p-issn(p):

More information

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:

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

More information

Factors that Influence Memory

Factors that Influence Memory Ovlaning Factos that Influnc Mmoy Continu to study somthing aft you can call it pfctly. Psychology 390 Psychology of Laning Stvn E. Mi, Ph.D. Listn to th audio lctu whil viwing ths slids 1 2 Oganization

More information

C e r t ifie d Se c u r e W e b

C e r t ifie d Se c u r e W e b C r t ifi d S c u r W b Z r t ifizi r t Sic h r h it im W b 1 D l gat s N ic o las M ay n c o u r t, C EO, D r am lab T c h n o lo gi s A G M ar c -A n d r é B c k, C o n su lt an t, D r am lab T c h n

More information

The (Bad?) Timing of Mutual Fund Investors. Oded Braverman,* Shmuel Kandel,** and Avi Wohl*** First version: February 2005 This version: August 2005

The (Bad?) Timing of Mutual Fund Investors. Oded Braverman,* Shmuel Kandel,** and Avi Wohl*** First version: February 2005 This version: August 2005 Th (Bad? Timing of Mutual Fund Invstos by Odd Bavman,* Shmul Kandl,** and Avi Wohl*** Fist vsion: Fbuay 2005 This vsion: August 2005 W thank Invstmnt Comany Institut (ICI fo oviding us th mutual fund data

More information

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

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

More information

Handout 3. Free Electron Gas in 2D and 1D

Handout 3. Free Electron Gas in 2D and 1D Handout 3 F lcton Gas in D and D In this lctu ou will lan: F lcton gas in two dinsions and in on dinsion Dnsit o Stats in -spac and in ng in low dinsions C 47 Sping 9 Fahan Rana Conll Univsit lcton Gass

More information

WORKING PAPER. Design Of Extended Warranties In Supply Chains

WORKING PAPER. Design Of Extended Warranties In Supply Chains WORKING PAPER No. 09-0 MGT July 009 Dsign Of Etn Waantis In Suly Chains By Kunng Li Sa Houston Stat Univsity Suan Mallik Univsity of Kansas Dili Chhaj Univsity of Illinois at Uana-Chaaign Coyight y Autho

More information

( 1 ) Obtain the equation of the circle passing through the points ( 5, - 8 ), ( - 2, 9 ) and ( 2, 1 ).

( 1 ) Obtain the equation of the circle passing through the points ( 5, - 8 ), ( - 2, 9 ) and ( 2, 1 ). PROBLEMS 03 CIRCLE Page ( ) Obtain the equation of the irle passing through the points ( 5 8 ) ( 9 ) and ( ). [ Ans: x y 6x 48y 85 = 0 ] ( ) Find the equation of the irumsribed irle of the triangle formed

More information

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004 HUT, TUT, LUT, OU, ÅAU / Engineeing depamens Enane examinaion in mahemais May 5, 4 Insuions. Reseve a sepaae page fo eah poblem. Give you soluions in a lea fom inluding inemediae seps. Wie a lean opy of

More information

Integration of Unemployment Insurance with Pension Through Individual Savings Account

Integration of Unemployment Insurance with Pension Through Individual Savings Account Intgation of nmloymnt Inanc ith Pnion Thogh Inivial Saving Accont Joh Stiglitz Datmnt of Economic Stanfo nivity Phon: -854-67 Fax: -579-997 Email: tglitz@tanfo. Jngyoll Yn Datmnt of Economic Eha nivity

More information

Vector Calculus: Are you ready? Vectors in 2D and 3D Space: Review

Vector Calculus: Are you ready? Vectors in 2D and 3D Space: Review Vecto Calculus: Ae you eady? Vectos in D and 3D Space: Review Pupose: Make cetain that you can define, and use in context, vecto tems, concepts and fomulas listed below: Section 7.-7. find the vecto defined

More information

Exam 3: Equation Summary

Exam 3: Equation Summary MASSACHUSETTS INSTITUTE OF TECHNOLOGY Depatment of Physics Physics 8.1 TEAL Fall Tem 4 Momentum: p = mv, F t = p, Fext ave t= t f t= Exam 3: Equation Summay total = Impulse: I F( t ) = p Toque: τ = S S,P

More information

United Arab Emirates University College of Sciences Department of Mathematical Sciences HOMEWORK 1 SOLUTION. Section 10.1 Vectors in the Plane

United Arab Emirates University College of Sciences Department of Mathematical Sciences HOMEWORK 1 SOLUTION. Section 10.1 Vectors in the Plane United Arab Emirates University College of Sciences Deartment of Mathematical Sciences HOMEWORK 1 SOLUTION Section 10.1 Vectors in the Plane Calculus II for Engineering MATH 110 SECTION 0 CRN 510 :00 :00

More information

PY1052 Problem Set 8 Autumn 2004 Solutions

PY1052 Problem Set 8 Autumn 2004 Solutions PY052 Poblem Set 8 Autumn 2004 Solutions H h () A solid ball stats fom est at the uppe end of the tack shown and olls without slipping until it olls off the ight-hand end. If H 6.0 m and h 2.0 m, what

More information

Implied volatility formula of European Power Option Pricing

Implied volatility formula of European Power Option Pricing Impli volatility fomula of Euopan Pow Option Picing Jingwi Liu * ing hn chool of Mathmatics an ystm cincs, Bihang Univsity, LMIB of th Ministy of Eucation,, Bijing, 009, P.R hina Abstact:W iv th impli

More information

Derivations and Applications of Greek Letters Review and

Derivations and Applications of Greek Letters Review and Rvi //008 Chap 0 Divaion an Applicaion of Gk L Rviw an Ingaion By Hong-Yi Chn, Rug Univiy, USA Chng-Fw L, Rug Univiy, USA Wikang Shih, Rug Univiy, USA Abac In hi chap, w inouc h finiion of Gk l. W alo

More information

A Model for Antenna-Plasma Wave Coupling towards Control of Uniformity in Slot-Excited Microwave Discharges

A Model for Antenna-Plasma Wave Coupling towards Control of Uniformity in Slot-Excited Microwave Discharges J. Plasa Fusion Rs. SERIES, Vol. 9 () A Modl fo Antnna-Plasa Wav Couling towads Contol of Unifoity in Slot-Excitd Micowav Dischags Daichi SAWADA, Akihio TSUJI, Takanoi KITSUDO, Yasuyoshi YASAKA, and Hioasa

More information

HOMEWORK FOR UNIT 5-1: FORCE AND MOTION

HOMEWORK FOR UNIT 5-1: FORCE AND MOTION Nam Dat Partnrs HOMEWORK FOR UNIT 51: FORCE AND MOTION 1. You ar givn tn idntial springs. Dsrib how you would dvlop a sal of for (i., a mans of produing rpatabl fors of a varity of sizs) using ths springs.

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating

More information

Magic Message Maker Amaze your customers with this Gift of Caring communication piece

Magic Message Maker Amaze your customers with this Gift of Caring communication piece Magic Mssag Makr maz your customrs with this Gift of aring communication pic Girls larn th powr and impact of crativ markting with this attntion grabbing communication pic that will hlp thm o a World of

More information

Incorporating Statistical Process Control and Statistical Quality Control Techniques into a Quality Assurance Program

Incorporating Statistical Process Control and Statistical Quality Control Techniques into a Quality Assurance Program Incooating Statistical Pocss Contol and Statistical Quality Contol Tchniqus into a Quality Assuanc Pogam Robyn Sikis U.S. Cnsus Buau Puos Incooat SPC and SQC mthods into quality assuanc ogam Monito and

More information

UNIT CIRCLE TRIGONOMETRY

UNIT CIRCLE TRIGONOMETRY UNIT CIRCLE TRIGONOMETRY The Unit Cicle is the cicle centeed at the oigin with adius unit (hence, the unit cicle. The equation of this cicle is + =. A diagam of the unit cicle is shown below: + = - - -

More information

4a 4ab b 4 2 4 2 5 5 16 40 25. 5.6 10 6 (count number of places from first non-zero digit to

4a 4ab b 4 2 4 2 5 5 16 40 25. 5.6 10 6 (count number of places from first non-zero digit to . Simplify: 0 4 ( 8) 0 64 ( 8) 0 ( 8) = (Ode of opeations fom left to ight: Paenthesis, Exponents, Multiplication, Division, Addition Subtaction). Simplify: (a 4) + (a ) (a+) = a 4 + a 0 a = a 7. Evaluate

More information

OPTIONS EVALUATION - BLACK-SCHOLES MODEL VS. BINOMIAL OPTIONS PRICING MODEL

OPTIONS EVALUATION - BLACK-SCHOLES MODEL VS. BINOMIAL OPTIONS PRICING MODEL Ya IX, o./00 37 OPIO EVALUAIO - BLACK-CHOLE MODEL V. BIOMIAL OPIO PRICIG MODEL Po. Ioan RECA, PhD Assis. Po. Maia-Miuna POCHEA, PhD un L. Angla-Maia FILIP, Ph Babş-Bolyai Univsiy, Cluj-aoa. Inouion A aiulaly

More information

New Basis Functions. Section 8. Complex Fourier Series

New Basis Functions. Section 8. Complex Fourier Series Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting

More information

12. Rolling, Torque, and Angular Momentum

12. Rolling, Torque, and Angular Momentum 12. olling, Toque, and Angula Momentum 1 olling Motion: A motion that is a combination of otational and tanslational motion, e.g. a wheel olling down the oad. Will only conside olling with out slipping.

More information

ACE-1/onearm #show service-policy client-vips

ACE-1/onearm #show service-policy client-vips M A C E E x a m Basic Load Balancing Using O ne A r m M ode w it h S ou r ce N A T on t h e C isco A p p licat ion C ont r ol E ngine Goal Configure b a s ic l oa d b a l a nc ing (L a y er 3 ) w h ere

More information

Functions of a Random Variable: Density. Math 425 Intro to Probability Lecture 30. Definition Nice Transformations. Problem

Functions of a Random Variable: Density. Math 425 Intro to Probability Lecture 30. Definition Nice Transformations. Problem Intoduction One Function of Random Vaiables Functions of a Random Vaiable: Density Math 45 Into to Pobability Lectue 30 Let gx) = y be a one-to-one function whose deiatie is nonzeo on some egion A of the

More information

Episode 401: Newton s law of universal gravitation

Episode 401: Newton s law of universal gravitation Episode 401: Newton s law of univesal gavitation This episode intoduces Newton s law of univesal gavitation fo point masses, and fo spheical masses, and gets students pactising calculations of the foce

More information

Transistor is a semiconductor device with fast respond and accuracy. There are two types

Transistor is a semiconductor device with fast respond and accuracy. There are two types Tranitor Amplifir Prpard y: Poa Xuan Yap Thory: Tranitor i a miondutor dvi with fat rpond and auray. Thr ar two typ of tranitor, a Bipolar Juntion Tranitor and a Fild Efft Tranitor. Hr, w will looking

More information

C relative to O being abc,, respectively, then b a c.

C relative to O being abc,, respectively, then b a c. 2 EP-Program - Strisuksa School - Roi-et Math : Vectors Dr.Wattana Toutip - Department of Mathematics Khon Kaen University 200 :Wattana Toutip wattou@kku.ac.th http://home.kku.ac.th/wattou 2. Vectors A

More information

Model Question Paper Mathematics Class XII

Model Question Paper Mathematics Class XII Model Question Pape Mathematics Class XII Time Allowed : 3 hous Maks: 100 Ma: Geneal Instuctions (i) The question pape consists of thee pats A, B and C. Each question of each pat is compulsoy. (ii) Pat

More information

Welcome to the workshop Occupational science as a theoreticalfoundation for practice in the social arena

Welcome to the workshop Occupational science as a theoreticalfoundation for practice in the social arena Wlm h wkhp Oupinl in hilfundin f pi in h il n - diu h pnil f OS in nw n - db limiin nd pibl hming Pvniv hlh Cmmuniy bd Fu n upin: Mning Enggmn Piipin Inn mhnim: Mul ngh Rng f min Cgniin S i l H l h Oupinl

More information

FITNET FFS MK7 Section 8 CREEP MODULE. Module Coordinator: RA Ainsworth BRITISH ENERGY, UK

FITNET FFS MK7 Section 8 CREEP MODULE. Module Coordinator: RA Ainsworth BRITISH ENERGY, UK FITNET FFS M7 Setion 8 CREEP MODULE Module Coodinato: RA Ainswoth BRITISH ENERGY, U (1 May 26) FITNET M7 Symbols a a a g ak size initial ak size ak size afte gowth a min ak size below whih the ak gowth

More information

Load Balancing Algorithm Based on QoS Awareness Applied in Wireless Networks

Load Balancing Algorithm Based on QoS Awareness Applied in Wireless Networks , pp.191-195 http://x.oi.og/10.14257/astl.2015.111.37 Loa Balancing Algoithm Bas on QoS Awanss Appli in Wilss Ntwoks CHEN Xiangqian, MA Shaohui Dpatmnt of Comput Scinc an Tchnology, Hnan Mchanic an Elctical

More information

Equation of a Line. Chapter H2. The Gradient of a Line. m AB = Exercise H2 1

Equation of a Line. Chapter H2. The Gradient of a Line. m AB = Exercise H2 1 Chapter H2 Equation of a Line The Gradient of a Line The gradient of a line is simpl a measure of how steep the line is. It is defined as follows :- gradient = vertical horizontal horizontal A B vertical

More information

Coordinate Systems L. M. Kalnins, March 2009

Coordinate Systems L. M. Kalnins, March 2009 Coodinate Sstems L. M. Kalnins, Mach 2009 Pupose of a Coodinate Sstem The pupose of a coodinate sstem is to uniquel detemine the position of an object o data point in space. B space we ma liteall mean

More information

IMPACT OF THE OPERATIONS MANAGER S DUAL ROLE ON INVENTORY POLICY *

IMPACT OF THE OPERATIONS MANAGER S DUAL ROLE ON INVENTORY POLICY * Woking Pa 7-66 Businss onomis is tmb 7 atamnto d onomía d la msa Univsidad alos III d adid all adid 6 893 Gta ain Fax 34 9 64 967 IPA F H PRAIN ANAGR UAL RL N INVNRY PLIY JÉ ALFAR JP A. RIBÓ Abstat In

More information

AP Calculus AB 2008 Scoring Guidelines

AP Calculus AB 2008 Scoring Guidelines AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.

More information

POINT OF INTERSECTION OF TWO STRAIGHT LINES

POINT OF INTERSECTION OF TWO STRAIGHT LINES POINT OF INTERSECTION OF TWO STRAIGHT LINES THEOREM The point of intersection of the two non parallel lines bc bc ca ca a x + b y + c = 0, a x + b y + c = 0 is,. ab ab ab ab Proof: The lines are not parallel

More information

IT Update - August 2006

IT Update - August 2006 IT Nws Saus: No Aciv Til: Da: 7726 Summay (Opional): Body: Wlcom Back! Offic of Infomaion Tchnology Upda: IT Upda - Augus 26 Rob K. Blchman, Ph.D. Associa Dico, Offic of Infomaion Tchnology Whil You W

More information

Forces & Magnetic Dipoles. r r τ = μ B r

Forces & Magnetic Dipoles. r r τ = μ B r Foces & Magnetic Dipoles x θ F θ F. = AI τ = U = Fist electic moto invented by Faaday, 1821 Wie with cuent flow (in cup of Hg) otates aound a a magnet Faaday s moto Wie with cuent otates aound a Pemanent

More information

ű Ű ű ű ű űű ű ő ő ű ű ő ő ő Ű ű ő ő Ű ő ű ű ő ű ű Ű ű Ő ű ű Ő Ű ű ű Ű Ű ő ű Ű ű ű ű Ű Ű Ű ő ő ű ő ű Ű Ő ő ő Ő ő ű ő ő Ő ű Ű ű ő Ű Ő ű ő ő ű Ő Ű ű ő ő ő Ő Ű Ő ű ő ű ű Ű Ű ű Ű ű Ű ű Ű Ű ű ű ű Ő ŰŐ ő Ű ő

More information

Calculation of torque

Calculation of torque Calculation of toque = toque that is exete on the ajusting nut (N) = eveage (N) = eve a () = xial foce (N) = oces on etic v-thea: N = Noal foce (N) = ictional foce (N) t = Tangential foce (N) Chaacteistics:

More information

4.1 - Trigonometric Functions of Acute Angles

4.1 - Trigonometric Functions of Acute Angles 4.1 - Tigonometic Functions of cute ngles a is a half-line that begins at a point and etends indefinitel in some diection. Two as that shae a common endpoint (o vete) fom an angle. If we designate one

More information

Two vectors are equal if they have the same length and direction. They do not

Two vectors are equal if they have the same length and direction. They do not Vectors define vectors Some physical quantities, such as temperature, length, and mass, can be specified by a single number called a scalar. Other physical quantities, such as force and velocity, must

More information

11 + Non-verbal Reasoning

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

More information

fun www.sausalitos.de

fun www.sausalitos.de O ily i f www.lit. Ctt. Cy... 4 5 Rtt... 6 7 B... 8 11 Tt... 12 13 Pt... 14 15. 2 Ctt. Cy. Rtt. B. Tt. Pt Ctt. Cy. Rtt. B. Tt. Pt. 3 Ti t f vyy lif, ity viti. AUALITO i l t t fi, t ty, t t, jy ktil jt

More information

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000 hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails

More information

NURBS Drawing Week 5, Lecture 10

NURBS Drawing Week 5, Lecture 10 CS 43/585 Compute Gaphics I NURBS Dawing Week 5, Lectue 1 David Been, William Regli and Maim Pesakhov Geometic and Intelligent Computing Laboato Depatment of Compute Science Deel Univesit http://gicl.cs.deel.edu

More information

Section 7.4: Exponential Growth and Decay

Section 7.4: Exponential Growth and Decay 1 Sction 7.4: Exponntial Growth and Dcay Practic HW from Stwart Txtbook (not to hand in) p. 532 # 1-17 odd In th nxt two ction, w xamin how population growth can b modld uing diffrntial quation. W tart

More information

UPS Virginia District Package Car Fleet Optimization

UPS Virginia District Package Car Fleet Optimization UPS Viginia Distit Pakage Ca Fleet Otimization Tavis Manning, Divaka Mehta, Stehen Sheae, Malloy Soldne, and Bian Togesen Abstat United Pael Sevie (UPS) is onstantly haged with ealigning its akage a fleet

More information

Parallel and Distributed Programming. Performance Metrics

Parallel and Distributed Programming. Performance Metrics Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:

More information

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

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

More information

Displacement, Velocity And Acceleration

Displacement, Velocity And Acceleration Displacement, Velocity And Acceleation Vectos and Scalas Position Vectos Displacement Speed and Velocity Acceleation Complete Motion Diagams Outline Scala vs. Vecto Scalas vs. vectos Scala : a eal numbe,

More information

Put the human back in Human Resources.

Put the human back in Human Resources. Put the human back in Human Resources A Co m p l et e Hu m a n Ca p i t a l Ma n a g em en t So l u t i o n t h a t em p o w er s HR p r o f essi o n a l s t o m eet t h ei r co r p o r a t e o b j ect

More information

THREE DIMENSIONAL GEOMETRY

THREE DIMENSIONAL GEOMETRY Chapter 8 THREE DIMENSIONAL GEOMETRY 8.1 Introduction In this chapter we present a vector algebra approach to three dimensional geometry. The aim is to present standard properties of lines and planes,

More information

2. TRIGONOMETRIC FUNCTIONS OF GENERAL ANGLES

2. TRIGONOMETRIC FUNCTIONS OF GENERAL ANGLES . TRIGONOMETRIC FUNCTIONS OF GENERAL ANGLES In ode to etend the definitions of the si tigonometic functions to geneal angles, we shall make use of the following ideas: In a Catesian coodinate sstem, an

More information

Should I Stay or Should I Go? Migration under Uncertainty: A New Approach

Should I Stay or Should I Go? Migration under Uncertainty: A New Approach Should Stay o Should Go? Migation und Unctainty: A Nw Appoach by Yasmn Khwaja * ctob 000 * patmnt of Economics, School of intal and Afican Studis, Unisity of ondon, Thonhaugh Stt, Russll Squa, ondon WC

More information

Analytical Proof of Newton's Force Laws

Analytical Proof of Newton's Force Laws Analytical Poof of Newton s Foce Laws Page 1 1 Intouction Analytical Poof of Newton's Foce Laws Many stuents intuitively assume that Newton's inetial an gavitational foce laws, F = ma an Mm F = G, ae tue

More information

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

More information

Core Maths C3. Revision Notes

Core Maths C3. Revision Notes Core Maths C Revision Notes October 0 Core Maths C Algebraic fractions... Cancelling common factors... Multipling and dividing fractions... Adding and subtracting fractions... Equations... 4 Functions...

More information

Chapter 19: Electric Charges, Forces, and Fields ( ) ( 6 )( 6

Chapter 19: Electric Charges, Forces, and Fields ( ) ( 6 )( 6 Chapte 9 lectic Chages, Foces, an Fiels 6 9. One in a million (0 ) ogen molecules in a containe has lost an electon. We assume that the lost electons have been emove fom the gas altogethe. Fin the numbe

More information

High Voltage Cables. Figure 5.1 - Layout of three, single-core cables

High Voltage Cables. Figure 5.1 - Layout of three, single-core cables High oltag Cabls 5.0 High oltag Cabls High oltag Cabls a usd whn undgound tansmission is quid. Ths cabls a laid in ducts o may b buid in th gound. Unlik in ovhad lins, ai dos not fom pat of th insulation,

More information

opp (the cotangent function) cot θ = adj opp Using this definition, the six trigonometric functions are well-defined for all angles

opp (the cotangent function) cot θ = adj opp Using this definition, the six trigonometric functions are well-defined for all angles Definition of Trigonometric Functions using Right Triangle: C hp A θ B Given an right triangle ABC, suppose angle θ is an angle inside ABC, label the leg osite θ the osite side, label the leg acent to

More information

Campus Sustainability Assessment and Related Literature

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

More information

Coordinate Transformation

Coordinate Transformation Coordinate Transformation Coordinate Transformations In this chater, we exlore maings where a maing is a function that "mas" one set to another, usually in a way that reserves at least some of the underlyign

More information

Stratesave 6.0 The comfortably organized backup solution for your PCs U ser M an u al Stratesave Systems GmbH Copyright 1996-2010, Strate s av e Sys te m s G m bh, al l rights re s e rv e d. A l l trad

More information

Mechanics 1: Motion in a Central Force Field

Mechanics 1: Motion in a Central Force Field Mechanics : Motion in a Cental Foce Field We now stud the popeties of a paticle of (constant) ass oving in a paticula tpe of foce field, a cental foce field. Cental foces ae ve ipotant in phsics and engineeing.

More information

Moment and couple. In 3-D, because the determination of the distance can be tedious, a vector approach becomes advantageous. r r

Moment and couple. In 3-D, because the determination of the distance can be tedious, a vector approach becomes advantageous. r r Moment and couple In 3-D, because the detemination of the distance can be tedious, a vecto appoach becomes advantageous. o k j i M k j i M o ) ( ) ( ) ( + + M o M + + + + M M + O A Moment about an abita

More information

CONCEPT OF TIME AND VALUE OFMONEY. Simple and Compound interest

CONCEPT OF TIME AND VALUE OFMONEY. Simple and Compound interest CONCEPT OF TIME AND VALUE OFMONEY Simple and Compound inteest What is the futue value of shs 10,000 invested today to ean an inteest of 12% pe annum inteest payable fo 10 yeas and is compounded; a. Annually

More information

MULTIPLE SOLUTIONS OF THE PRESCRIBED MEAN CURVATURE EQUATION

MULTIPLE SOLUTIONS OF THE PRESCRIBED MEAN CURVATURE EQUATION MULTIPLE SOLUTIONS OF THE PRESCRIBED MEAN CURVATURE EQUATION K.C. CHANG AND TAN ZHANG In memoy of Pofesso S.S. Chen Abstact. We combine heat flow method with Mose theoy, supe- and subsolution method with

More information

Analysis of Stresses and Strains

Analysis of Stresses and Strains Chapter 7 Analysis of Stresses and Strains 7.1 Introduction axial load = P / A torsional load in circular shaft = T / I p bending moment and shear force in beam = M y / I = V Q / I b in this chapter, we

More information

Phys 2101 Gabriela González. cos. sin. sin

Phys 2101 Gabriela González. cos. sin. sin 1 Phys 101 Gabiela González a m t t ma ma m m T α φ ω φ sin cos α τ α φ τ sin m m α τ I We know all of that aleady!! 3 The figue shows the massive shield doo at a neuton test facility at Lawence Livemoe

More information

DEGRADATION MODEL OF BREAST IMAGING BY DISPERSED RADIATION

DEGRADATION MODEL OF BREAST IMAGING BY DISPERSED RADIATION THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Sis A, OF THE ROMANIAN ACADEMY Volum 1, Numb 4/011, pp. 347 35 DEGRADATION MODEL OF BREAST IMAGING BY DISPERSED RADIATION Migul BUSTAMANTE 1, Gastón

More information

Chapter 4: Matrix Norms

Chapter 4: Matrix Norms EE448/58 Vesion.0 John Stensby Chate 4: Matix Noms The analysis of matix-based algoithms often equies use of matix noms. These algoithms need a way to quantify the "size" of a matix o the "distance" between

More information

Equations Involving Lines and Planes Standard equations for lines in space

Equations Involving Lines and Planes Standard equations for lines in space Equations Involving Lines and Planes In this section we will collect various important formulas regarding equations of lines and planes in three dimensional space Reminder regarding notation: any quantity

More information

Math 265 (Butler) Practice Midterm II B (Solutions)

Math 265 (Butler) Practice Midterm II B (Solutions) Math 265 (Butler) Practice Midterm II B (Solutions) 1. Find (x 0, y 0 ) so that the plane tangent to the surface z f(x, y) x 2 + 3xy y 2 at ( x 0, y 0, f(x 0, y 0 ) ) is parallel to the plane 16x 2y 2z

More information

MAT188H1S Lec0101 Burbulla

MAT188H1S Lec0101 Burbulla Winter 206 Linear Transformations A linear transformation T : R m R n is a function that takes vectors in R m to vectors in R n such that and T (u + v) T (u) + T (v) T (k v) k T (v), for all vectors u

More information

Chapter 5.1 and 5.2 Triangles

Chapter 5.1 and 5.2 Triangles Chapter 5.1 and 5.2 Triangles Students will classify triangles. Students will define and use the Angle Sum Theorem. A triangle is formed when three non-collinear points are connected by segments. Each

More information

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List.

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List. Elmntary Rndring Elmntary rastr algorithms for fast rndring Gomtric Primitivs Lin procssing Polygon procssing Managing OpnGL Stat OpnGL uffrs OpnGL Gomtric Primitivs ll gomtric primitivs ar spcifid by

More information

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

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

More information

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman Cloud and Big Data Summr Scool, Stockolm, Aug., 2015 Jffry D. Ullman Givn a st of points, wit a notion of distanc btwn points, group t points into som numbr of clustrs, so tat mmbrs of a clustr ar clos

More information

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1 Exponential Functions an their Derivatives Exponential functions are functions of the form f(x) = a x, where a is a positive constant referre to as the base. The functions f(x) = x, g(x) = e x, an h(x)

More information

Solutions Manual for How to Read and Do Proofs

Solutions Manual for How to Read and Do Proofs Solutions Manual for How to Read and Do Proofs An Introduction to Mathematical Thought Processes Sixth Edition Daniel Solow Department of Operations Weatherhead School of Management Case Western Reserve

More information

Lecture 3: Diffusion: Fick s first law

Lecture 3: Diffusion: Fick s first law Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th

More information

Høgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver

Høgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: chechkin@mech.math.msu.su Narvik 6 PART I Task. Consider two-point

More information

Mathematics Notes for Class 12 chapter 10. Vector Algebra

Mathematics Notes for Class 12 chapter 10. Vector Algebra 1 P a g e Mathematics Notes for Class 12 chapter 10. Vector Algebra A vector has direction and magnitude both but scalar has only magnitude. Magnitude of a vector a is denoted by a or a. It is non-negative

More information

The Vector or Cross Product

The Vector or Cross Product The Vector or ross Product 1 ppendix The Vector or ross Product We saw in ppendix that the dot product of two vectors is a scalar quantity that is a maximum when the two vectors are parallel and is zero

More information

Masters Mens Physique 45+

Masters Mens Physique 45+ C G x By, F, hysq, Bk Chpshps Ap, Cv Cy, Cf Mss Ms hysq + Fs Ls Css Ov Css s G MC Chpk M+ W M+/MC y Bs 9 8 9 9 8 B O'H 8 9 8 S Rs 8 8 9 h K 9 D Szwsk 8 9 8 9 9 G M+ h D Ly Iz M+ 8 M R : : C G x By, F,

More information

R&DE (Engineers), DRDO. Theories of Failure. rd_mech@yahoo.co.in. Ramadas Chennamsetti

R&DE (Engineers), DRDO. Theories of Failure. rd_mech@yahoo.co.in. Ramadas Chennamsetti heories of Failure ummary Maximum rincial stress theory Maximum rincial strain theory Maximum strain energy theory Distortion energy theory Maximum shear stress theory Octahedral stress theory Introduction

More information

RAJALAKSHMI ENGINEERING COLLEGE MA 2161 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS PART A

RAJALAKSHMI ENGINEERING COLLEGE MA 2161 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS PART A RAJALAKSHMI ENGINEERING COLLEGE MA 26 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS. Solve (D 2 + D 2)y = 0. 2. Solve (D 2 + 6D + 9)y = 0. PART A 3. Solve (D 4 + 4)x = 0 where D = d dt 4. Find Particular Integral:

More information

The DF Structure Models for Options Pricing On the Dividend-Paying and Capital-Splitting

The DF Structure Models for Options Pricing On the Dividend-Paying and Capital-Splitting h F ucu Mols fo Opions Picing On h iin-paying an Capial-pliing Fng AI pamn of Managmn cinc Zhngzhou Infomaion Engining Unisiy P.O.Bo Zhngzhou Hnan 45 China E-mail: fngai@public.zz.ha.cn; fngai@6.com Absac.

More information

FEE-HELP INFORMATION SHEET FOR DOMESTIC FULL FEE STUDENTS

FEE-HELP INFORMATION SHEET FOR DOMESTIC FULL FEE STUDENTS FEE-HELP INFORMATION SHEET FOR DOMESTIC FULL FEE STUDENTS This is n infomtion sht poducd by th Monsh Lw Studnts Socity Juis Docto Potfolio to ssist full f pying studnts (domstic) in undstnding th issus

More information