Optimization of dimension of weldment locus by method of geometric programming
|
|
- Lambert Blair
- 6 years ago
- Views:
Transcription
1 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng BRANKO PEJOVIĆ DRAGAN SEVIĆ * VLADAN MIĆIĆ ulty of tehnl sene Kosovs Mtov Se ulty of ehnology Zvon Repul of Sps B&H Sentf ppe UDC:... o:.97/zsmtp Zstt Mtel () - () Optmton of menson of welment lous y metho of geomet pogmmng ABSRAC hs ppe on the emple of typl loe wele ssemly me optmton of ts mensons n tems of the ost of welng. In suh n eloton the mthemtl optmton moel wth lmtton funtons hs lso een pesente n t shoul e ten nto ount n the poess of esgnng y the tehnologst n esgne. o solve the pesente polem the metho of geomet pogmmng ws popose tht hs n etl een elote n the ppe n the fom of n lgothm sutle fo the pplton. In ths wy the optmton o pmy ts ws eue to ul ts though pope funton whh s muh ese to solve. he metho hs een llustte on ptl omputtonl emple wth ffeent nume of lmtton funtons. It s shown tht n se of lowe egee of omplety the soluton n e ehe y mmng the oesponng ul funton y mens of mthemtl nlyss. In se of hghe egee of omplety t s neessy to use some of the methos of non-lne pogmmng. In ths se the soluton of the polem s smplfe ue to the mnmton of lne euton. Keywos: Alphet loe wele stutues the mthemtl moel of optmton the ost funton fetue lmttons geomet pogmmng postve polynomls ul funton.. MAHEMAICAL MODEL O OPIMIZAION Mthemtl ss of tehno-eonom optmton of the oets s the mthemt moel of optmton. Moel of optmton ong to fgue onssts of the omponents: - Stte funtons s ( =...) - Lmt funton (funton ouny ontons) g ( =...) - Cte optmton n - he oetve funton ( =...). he fst two omponents e. stte funtons o stte euton n the lmt funton oet of the mthemtl moel of the oet s efne. Rel oets mply we nge of phenomen poesses n systems s vey feuent oets of moellng n mehnl engneeng n mhnng s tehnologl poesses []. *Coesponng utho: Dgn Stevć e-ml: gnestev@gml.om Ppe eeve:... Ppe epte:... Ppe s vlle on the weste: gue - he stutue of the mthemtl moel of optmton oet It shoul e note tht the mthemtl moel s oppose to the physl etns the physl ntue of the ognls (el popety) showng the mthemtl stton. hs stt fom epesses the essentl physl geometl tehnologl eonom o ny othe fetues of the el oet []. he mthemtl moel of mhnng poess n e genelly shown shemtlly y gue. ZASIA MAERIJALA () o
2 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng gue - he mthemtl moel of the mhnng poess In ths t s neessy to nlye the nputs n outputs of "ntul" poess n ll sets of nputoutput vles y =... fo eh eompose "elementy" poess. hs s "ntul" poess tht onsttutes the oe of the mhnng poess n shoul ese the mthemtl moel of the poess [-7]. Afte nlyng the estng esttons one esses the mthemtl espton of the oet n the mthemtl lnguge s spef set of funtons n eutons. hus the mn fetues of the mthemtl moel e funton of the stte of s n funton lmttons g. Conseng the sheme n gue we n set up mthemtl moel of ny mhnng poess n pouton engneeng (wth n wthout emovng the hp n eyon) though the funtons of the poess: s ( y ) n the lmt funton: ( y ) g... ()... () he mthemtl moels () n () e essentlly physl geometl tehnologl n eonom epenent ulmet wthn the mhnng poess n to the mssle omn D esng. he system ( ) vetos y n enote set of vles nput- output vles of the poess. Veto htests of the poess sttes o ontolle se y ( y y y... y ) ese the stte n ehvo of the mhnng poess n the system ws ete s onseuene of nputs n. Input pmetes whh e numeous e ve nto ontolle ( ) n unontolle ( ) se of the poess. he veto nlues ll nputs to the poess whose vlue n e mesue numelly. he veto (... ) n e oen own nto p goup optml o ontol the se n goups tht e onstnt n the ouse of the poess. he fst goup n e hnge n the poess n oe to heve the ese stte of the poess ( optmum oetve funton ( ). n ) n Veto unontolle se (...) ontns one nput pmetes whose vlues n not e mesue s well s those tht n e mesue ut whose mpt on the neglgly smll. Veto uses vese ontons n vese hnges n the flow htests of the poess ( y ) o the oetve funton ( ). o the se of etemnst poesses mpt of unontolle ftos s not lge thee s oelton etween the htests of sttes y n nputs. o ths moel the se wll not e ontne n the eltons () n () so tht t s otne: ( y )... () s g ( y )... () o n the fom of n eplt y ( ) () Components of the stte funtons n funton lmttons s t s s s efne s the mthemtl moel whle the optmton te s the th omponent togethe wth the fst two sets the fmewo mthemtl moel of optmton. On the ss of these thee omponents thee s spef fom of the oetve funton (optmton funtons): ( y ) () unton () s mthemtl espton of the optml ontol poess the entfe optmton te. In theoy tehno-eonom optmton n e ette moe optmton te o oetve funtons ( ) ong to whh the optme poesses [89]:Cost ( ) Bul tme ( u ) Eonomy ( E ) Poutvty ( P ) Poftlty ( R ) ulty (K ). Bngng to te optmton ( tu E P R K...) (7) whh shows ey pouton effets n lso funtons g onstnts whh lmt the llowe omn D hnges of nput nto funtonl eltonshp wth set of nput n the othe mentone ftos ong to () n () s otne y the mthemtl moel of optmton etemnst poess: (... p ) (8) D D g (... D ) ehno-eonom optmton s eue to mthemtl pont of vew the efnton of ZASIA MAERIJALA () o
3 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng eteml (optml) oetve funton (8) n of oesponngof mnge se n htests of the stte of the poess tht poves the optmum s shown n gue []. gue - Dgm of sufe fetues to optme the optml nge he optml level o soluton (... ) of the oetve funton (8) s lle lol etemum n pont M (efne veto ) s lle pont of lol etemum. unton my hve sevel lol etemes. o fom the mthemtl moel of optmton ong to (8) n ton to mthemtl epessons oetve funton t s neessy to set up mthemtl epesson of ll neessy funtons esttons g... hs wy efnes n lmts of pemssle o the optml e egon o omn D. All these onstnts n e epesse n the fom of eutons n neultes ontnng mong othes n gven the se of sets of nput vlues [8] Aong epose t n e onlue tht the mthemtl moel of optmton no mtte wht the suet s the wo (poess system stutue mngement et.) must lwys ontn s n the se of mhnng poess fou s omponents: unton of the flty Lmt funton he te optmton unton of optmton o oetve funton. Bse on these omponents fomng the fnl shpe of the moel optmton of gven oet tht epesses the funton optmton ( ) n the pemtte omn D tnsfomtons of vles.. HE MEHOD O GEOMERIC PROGRAMMING hs metho n solve those optmton tss whose optmton funtons e n the fom of postve polynomls: ( ) B (9) whee: B -postve oeffents (onstnts) - eponents nom nume whh my e postve negtve o eo vlue -nepenent vles (vles) tht n only hve postve vlues. he lgothm of metho whh wll e summe n the followng llows to etemne the optml soluton (... ) wth the mn [-]. In mny ses the optmton of mhnng poesses n tehnology n tems of ost whee the optmton funton s epesse s postve polynoml (9) t s possle to effetve pplton of the metho of geomet pogmmng... he s neulty methos In evelopng the lgothm metho of geomet pogmmng sttng fom the mthemtl neulty etween geomet n thmet mens of non-negtve numes. hs neulty s the founton of the metho n two ses s follows [7]. (Z Z ) ZZ () hs elton epesses the vew tht geomety n not e gete thn thmet mens. Ineulty () fo vles s: Z Z () n t s vl tht the se Z postve n postve se stsfy the onton of nomlty () om euton () we n wte the s eutons of the metho of geomet pogmmng: () he pevous euton s otne when the neulty n eplng whee n Z >. () Ineulty () hs funmentl menng fo the metho of geomet pogmmng euse the pplton of ths neulty to the funton optmton (9) my hnge: ( ) B () n euton () wte the s of mthemtl metho ZASIA MAERIJALA () o
4 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng whee n L B B L () (7) It ws ponte out tht neulty () s vl fo ny postve vlues of se whh must stsfy the onton of nomlty (). Poeeng fom ths we n smplfy the neulty () the hoe of vlues fo to otn L = n euton (7) e. L (8) Euton ( X) smplfe the funmentl epesson (X) whh now es: B B (9) hs euton pples to the onton of nomlty: () othogonlty n one wth euton (7) e. L = n the onton of postvty: () > () Rght se of the neulty (9) s funton of the se of ( ) s n e seen e. B ( ) () n s lle ul funton of onve funton (9) euse the postve polynoml (9) s onve funton. Left neulty (9) howeve epens only on the nepenent vles ( ). he followng onluson s: t the ss of the funmentl neulty polynoml of postve (X) nnot e whteve n of vlues e the vles ( )smlle thn the ul funton () (X) n the pmy moel.e. mnmton funton own to the ul moel e. the mmton of the ul funton (). So thee s pmy efomulton (se sttng) n fnng the optmton ul ts sne t n e shown [7] tht s mmum vlue of the ul funton () eul to the mnmum vlue of the s funtons n the fom of postve polynomls e. mn ( ) m B () In these ontons must e met () () n () of the ul vle ( ). So optmton (pmy) ts n mn B () B ( ) m m () > () whh s muh ese to solve n espet of the pmy ts ().e. etemnt on of mn optmton funton... Algothm of metho At pesent thee e two possle ses s follows: - he se wthout esttons - he se of the onstnts In se tht thee e no lmtton eutons () o system () s e fne y the mnmum vlue (optmum) funton optmton (9) ove the mmum e. etemnng the optml level postve polynoml testfes to the etemnton of the mmum vlue ul funton (). It woul e the fst step of the metho. In the seon step s lulte the optml ul veto... ) system of eutons: ( () whh epesents the ontons of nomlty n othogonlty. In the th step s etemne the mmum vlue ul funton () whh s se on nown set (etemne n the seon step) s lulte fom the euton: ZASIA MAERIJALA () o 7
5 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng B m (7) he fouth step nvolves the etemnton of optml pmy veto (soluton) (... ). he funtons of the (9) foun on the ss of the vlues = n the th step. Between tht mnmes the funton = the optml ul veto whh stsfes the ontons of nomlty n othogonlty () the seon step eomes s follows: B (8) om euton (8) we otn the eue optml level whee the se of = n ( ) e nown s well s some of the seon o th step. In se you e gven the lmttons n the fom of the funton: g g g... (9) gp then the pmy ts es n mn () g g g... gp > > >... () > wheen the funton estton gt ( shpe of postve polynomls gt mn t... J( t ) p B t p ) hs the () Whee n: J () (...m ) - nees of nvul memes funton J () ( m +...m ) - nees of nvul memes funton f g J () ( m +...m ) - nees of nvul memes funton g... J (p) (m p m p = ) - nees of nvul memes funton gp Hee the funtons n gp e n the shpe of postve polynoml. Wth oesponng ul ts n whh the pmy ts s eue we n show n epess the system: ( ) m t J( t ) m B p t t t () t... p () () > () As we see fom () see n euton () e entee ll oeffents B ontnng funton n system funton lmttons gt ( t p ). Hee ontons () n () e ontons of nomlty othogonlty n postvty espetvely. he futhe ouse of the optmton lgothm gven oet s entl to the metho of geomet pogmmng lgothm wthout onstnts. Howeve the eutons (8) to etemne the optmum nume of the pmy veto n ths se s mofe to e s follows: B wheen: t t J( t ) J( ) J(t ). CALCULAION EXAMPLES t p (7) (8) he genel ts of optmng the mthemtl moel of the llustte two emples of the stutul unt s elte to the optmton of mensons of the wele ssemly loe n tems of the welng osts... A smple emple In the fst emple gue ut onssts of two elements: ems (ges) wth wel n hoe (elne whee the em s fe to g et wele wel I n II. ) Defnton of fe n vle se Aong to the epose the net poeue must e efne fst s well s unhngele vle esoluton mge. Contons of the polem e gven onstnt (unhngele) se: ns of mtels of mnuftues the fee length of the em (unts) L n the mmum foe on loe ems. 8 ZASIA MAERIJALA () o
6 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng Othe mensons of the ssemly e nepenent vles. hese mensons e: h l t (9) he vlue of these mensons shoul e so etemne n optme to heve n optml veto ( h l t ) of mnmum ost of welng. n = o = mn. ) Defnng the mthemtl fom of funton optmton he ost funton s funton of optmton n e wtten s [8-]. p () gue - Loe welments hese funtons onsst of thee mn omponents (ptl hges): p - the osts of pepton (peptoy opetons) -welng osts -the ost (pe) of mtel. Costs of pepton p efe to ll the neessy tehnologl eupment to pefom welng opetons: welng tools uly eupment fo settng ems on the tuss n poston ts tghtness n moe. hese osts wll e onsee onstnt (o not epen on the vles ( n ). Cost of welng opetons n e etemne f you now the elements of these osts: - the ost of usng welng epesse n monety mount pe unt of tme whh nlues the ost of motton n lon epyment pplnes the ost of uly eupment (epeton) use n welng the ost of humn wo (pesonl nome fom ontutons n othe) - he pty e. volume of wel (wel) pe unt tme n V - volume of welment wel I n II tht the emple gven s lulte s: V V V h l h l h l () s follows ong to fgue. On the ss of these elements n e wtten osts: V h l () he ost of mtels wll e: V V G () Whee n: - mtel pe of wel - mtel pe em V g - volume of the em s lulte s: V G t ( l ) () eplng () n () to () wll e: h l t (L l ) () Costs y eplng () n () n () we otn the ese shpe optmton funton (oetve funton): espetvely: p t (L l ) h l h l () p h l t (L l ) (7) o y (9): p L (8) the pesent vlues of the oeffents n L-nown of the gven ts (oetve optmton). ) Defnng n settng up system funton lmttons. Resttons on the powe of the she n the wel [-]. he tul she stess n the wel wll e n h vew of the omputtonl of wel gue. ( ) A l o llowle tenson she h l wll pply to: (9) ZASIA MAERIJALA () o 9
7 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng ZASIA MAERIJALA () o ) ( () Dvng euton () to e: () o s funton of the lmts eng: g () Shpe of funton g n othe funton of optmton n ths fom s wll e seen tht t s sutle fo optmton.. Resttons on the noml stess steth mtel of mnuftues []. he tul tenson wll e less thn the llowle: t A ) ( () espetvely: t () gven the lmttons of the funton eng: g t (). Resttons elte to the ptl posslty of gettng wels hs lmt s epesse s h s the em wth must e gete thn the wel pmete h. It follows tht: () Gven the lmttons of the funton eng: g g (7). Resttons on the non-negtvty vles. hs lmtton s epesse y the funton: g (8) ) A mthemtl moel of optmton Aong to epose eltons (8) () () (7) (8) fo the oseve stutul stutue the mthemtl moel of optmton wll e: L mn (9) D g g g g () he funton (9) the ost of pepton p s onstnt fo the oseve elton s not ten nto ount sne they o not ffet the mthemtl nlyss tht follows. One the mnmum funton of the the sme vlue must only the ost of the pepton wth espet to the elton (). By ntoung the (onstnt): () Relton (9) n () e smplfe: L mn g g () whee n: ; ; ; Aong to the lgothm n hpte.. fo the se tht thee e lmts the oesponng ul funton onseng to () wll e: ( ) L () fte the ts hs totl of s memes: = n thee n the n thee n the g sne thee e thee funton lmtton (t = ) eh hvng sngle meme. om the onton of nomlty () n () n othogonl foms system of fve eutons wth s unnown: (V ) (IV ) ) (III ) (II ) (I ()
8 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng Ovously I euton s onton of nomlty ( funton hs thee memes n theefoe ppes ( ) whle the othe euton (II-V) e othogonlty n oe to vle n. In ths euton (II) s etemne y the euton (III) y the eutons (IV) to n the euton (V) ong to tng nto ount the eponents. otl nume of ( = -) s eul to the nume of memes of the funton n the funton lmtton ( = ). Euton V y suttng euton IV t follows tht: () By usng the Gussn lgothm smple wy to show tht ll of the unnowns n e epesse n tems of. om the seon euton t follows tht: () s follows fom the III: (7) At the en of the euton I n IV t follows tht: (8) Rengng euton () t wll e smplfe: L () (9) susttutng n y () () (7) n (8) euton (9) eomes: L () (7) Ovously the ul funton () s epesse n moe thn whh ws the gol. Logthm funtons (7) wll e: ln() ln ln (7) L ln ln ( )ln Let the sttony pont of the veto n whh the () m = m then the sme ount s heve n mmum funtons ln() ong to the (7). So to lulte the evtve of the funton ln() the vle n eutes t to eo: ln( ) (7) Gven tht ths s omple funton fo smplfton to (7) we n ntoue shfts: (ln ln ) ln ln ln ( ) ln L L ( ) ln ln L ln ln ln ln Wth ths shft the funton (7) eomes: ln ( ) Devtve of (7) wll e: ln ( ) (7) (7) (7) Ptl evtve of funtons (7) fo wll e to (7): ln (ln ) ln (7) ln ln L ln ln( ) Susttutng etts ptl funtons (7) n (7) wll e fte the ngng ong to (7): ln ln( ) ln lnl ln (77) Euton (77) fte some mthemtl opetons n e summe s: ln It follows tht: L ln L n fnlly solvng to : (78) (79) (8) L ng nto ount () () (7) (8) n (8) t follows tht: ZASIA MAERIJALA () o
9 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng L L L (8) Aongly n optml ul veto hs omponent: ( ; ; ; ; ; ) (8) By settng the lulte optmum ul omponent vetos (8) oesponng to mmum of the ul funton of () ( ) m ( ) m ( ; ; ; ; ; (8) eeves the vlue of the mnmum funton optmton e.: mn m ( ) ( ) (8) Bse on lulte fom euton () to (7) omponents of the optml veto of the system: (I ) (II ) (III ) (IV ) (V ) (VI ) L ) om I n IV of the euton t follows tht: (8) (8) VI ong to the euton t follows tht: om euton IV wll e: (87) (88) Also fom the euton V wll e: (89) he eutons of system (II) (III) (VI) whh t pesent e not use n e use to ontol the esults otne wth espet to ll of the system euton must e stsfe. o emple the oseve welng em et whh e me of on stutul steel (.% C) lulte onstnts: he pty of the welng s CEN he pe of s mtel CEN he pe of eletoe mtel 7 CEN he ost of welng eve s Allowle stess of the se mtel tensle N Allowle stess of the se metl she N Mmum powe lo em N ee length of the em L Pepton osts p 7 9 CEN Constnt vlue to () wll e: CEN 88 CEN he omponents of the ul optmum veto to e (8) o ong to (8): L he optmum ul veto of (X) wll e: (9) ZASIA MAERIJALA () o
10 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng ( ; ; ; ; ; ) ( ; ; 77 ; ; 788 ; ) (9) he optml vlues of the ul funton to (9) wll e: ( ) L (9) Susttutng the vlues (9) to (9) shll e fnl: ( ) ( ) (9) whee the optml vlue of the ul funton to funton optmton: ( ) 9 CEN (9) On the ss of the vlue (8) (87) fom (88) (89) e etemne y the ese optmum veto : (9) Contol of the esults n e pefome ong to the eutons II III n VI of system (8) onseng tht the sme e not use. Now s the optml pmy veto ompletely etemne: (; ; ; ) (8; 77; 8; 8) (9) When n optml veto (9) n optmum s heve =mn ong to (): L Susttutng (9) nto (97) wll e: (97) CEN (98) As mght e epete gven (9). In lulton mnml eo oue euse of ounng of numes (fou gts). om the ove follows tht the optml vlues of the mensons of the wele ont oseve: 8 mm 7 mm h t l 8 mm 8 mm. One n esly show tht ll the ouny ontons () e fully met... A moe omple emple As moe omple polem let's te the sme emple of the ptue wth the ffeene tht we wll ntoue two new onstnts:. In vew of the spef onstuton esons thee s lmt of geomet mesue t (99). Resttons petnng to mnmum wth menson h mn = mn elow show tht t s not possle to hve tehnologl elton of hetng: h mn mn () o mn onstnt vlue s ntoue whh my elte fo emple to the mnmum mete of the pple welng eletoes [ ]. Aongly funton optmton (gol) wll e to (8): h l l t l t () he fst thee funtons to lmt () wll lso e s n the fst emple: g g g () Due to (99) n () the followng two new onstnts wll e: g g () Ovously wth ths we hve mntne the ele ms geomet se h l. t All esttons on the funtons hee hve only one meme n ong to hpte o ths se n ppopte ul funton s the nese nume of funtons of lmtton wll e moe omple: () L () ZASIA MAERIJALA () o
11 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng om the ontons of nomlty n othogonlty () we otn the system of eutons fo etemnng the optml ul vetos: () Appently solvng the system y () nnot t le n the fst emple euse t s otne y system of fve lne eutons wth eght unnowns. Se n pmetes n the euton () wll e n ths emple: 7 CEN 8 7 CEN L L 78 CEN 8 hee s the opte se = mm n vew of the mnmum mete of the eletoe fo yng out the welng opeton.... Anlyss of the level of omplety o the smple se when the nume of eutons () s eul to the nume of unnown vlues (ul vles) of the system s otne unmguously () soluton ( ). It s possle howeve n n the othe (moe omple) se wth the system () () tht the nume of unnown se s gete thn the nume of vlle eutons. hen we nnot tl out the optml veto wth eg to euse s multfte n t hs mny nfntely moe espetve solutons n the optml soluton whh heve optmum otne y mmng the ul funton () e. solvng the optml ts (ul ts optmton) efne system (). When ths s use n some of the nlytl methos fo emple non-lne pogmmng metho of [7]. Hee s the poeue of optmton ese euse ll onstnts e of lne shpe. Othe (moe omple) se s ssote wth the egee of omplety whh s efne y the euton: s ( ) () whee - nume of mnml postve polynomls n '-se elte to the nume of nepenent vles n the ove polynoml whose elty efnes the n of mt ult y the eponents n the polynoml (9) []. o the se tht s = t oes not solve the ts of optmng the ul funton () ut the s etemne unmguously y the system (). o s= (the fst emple) s shown y the optmum soluton s otne y mmng the ul funton (). Conseng the ove the eponent fo mtes nothe emple the system s etemne y the euton () wheen the fst euton of the system s not ten nto ount: M e (7) Rn of the mt (7) usng mtes n usng mt popetes (opetons wth mtes) wll e: RngM e (8) he egee of omplety s efne s s ( ) 8 ( ) (9) Hee s the nume of mnmng polynomls '-se elte to the nume of nepenent vles n postve polynoml (9) whose vlue efnes the n of the mt fome y the eponents n the polynoml (9). Gven tht s > the optml ul veto n e otne fom the euton system (9) sne the nume of these eutons s less thn the nume of unnown vlues. hen s otne y mmng the ul funton () usng one of the nlytl methos fo emple non-lne pogmmng metho [-].... Solvng polems y usng nonlne pogmmng Susttutng nown pmetes to funton () usng n ppopte pogm y usng met- ZASIA MAERIJALA () o
12 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng ho of nonlne pogmmng to otn the optml ul omponent vetos: ht s: ( ; ; 7 ; ; 788 ; hese vlues e otne onseng to () m. By enteng the lulte vlues of the omponents (X) the pe oesponng ul funton () wll e: ( ) m m ( ) ( ; ; ; ; ; ; ; ) 9 CEN 7 8 hus the mnmum vlue of funton optmton wll e: mn m ( ) ( ) 9 CEN Bss 9 lulte fom euton (97) omponents of the optml veto ong to euton (7): 7 ; ; ) () he esultng system of lne eutons ( ) s solve eltvely esly. om seon n th eutons of the system () tht the om hee t s 78 7 l 7 Now fom the fst euton of the system () tht follows: he fouth euton of system n e use to he the esults: hen fom th euton we hve: L om ths euton t follows tht he seon euton of system my lso e use to he the esults gven tht ses e nown n the eutons. he sme pples to the ffth euton system hus the optml se fo moe omplte se of optmton wll e: h 88 mm l 7 mm t mm mm. CONCLUSION A metho of pogmmng s splye n geometl opeton use pnplly n the pouton of vous tehnologes. It s shown tht the metho une etn umstnes s use n the fel of esgn. Spel methos effeny s heve when the ssote tehnology n onstuton esstne e shown n the emples. Mny of the funtons enountee n pte etn mthemtl tnsfomtons n e eue to postve polynomls n pple to the pesent moel. he moel pesente n the ppe though the ouse of the lgothm n e onsee s moe genel n n e pple n mny es of esgn whee t n e ten nto ount wthn tehnologes whle t s possle to pply vous tehnl n eonom te n optmton. All mounts to stutul n tehnologl solutons n the poess of estlshng the optml poet to etemne the est possle. Lmt funton n e ffeent oth n nume n shpe. Applton of geomet pogmmng s possle wth ffeent funtons of optmton n onstnts s lne n nonlne. Comple polems e pesent n ths system of lne eutons tht e eltvely esy to solve whh s n vntge ompe to othe methos (fo emple smple metho n gent). he soluton s lwys otne etly wthout optml seh e. Spel ttenton when pplyng the metho of geomet pogmmng shoul e poesse when the lmt funton ontns moe thn one meme. hen the ppopte meme of the effetveness of ul funton lso nlues moe memes. In most polems n the en hee ou moe eutons thn neessy. hs llows you to monto n ontol the esults wth espet to ll eutons of the system tht must e met. Also ontol n e eese tows eulty mn = m. ZASIA MAERIJALA () o
13 B. Peovć et l... Optmton of menson of welment lous y metho of geomet pogmmng Le ny metho of optmton n geomet pogmmng metho hs ts ws. he metho n not e pple to ses whee the optmton funton n onstnts e postve polynomls ( when t ppes n the polyno - ml mnus sgn). It shoul e note tht the tehnl ptes n suh ses e genelly e. nlly t shoul e ponte out tht moen optmton methos fo effent mplementton eue multsplny nowlege eue of ffeent fels: tehnology esgnonstuton eonoms mthemtl nlyss mthemtl pogmmng. hese e poly the mn esons why we e n tehnl pte nsuffently engge t nnot s well e ustfe.. REERENCES [] H.J.Jos E. Jo (988) Spnungsoptmeung Vefhensgestltung uh tehnologeshe Optmeng n t Spnunstehn Ve Velg ehn Beln. [] I.Hm R.-Gonles (97) Pouton Opt - mton Metho usng Dgtl Compute Ofo. [] Z.Men (988) ošov u teo ps Infomto Zge. [] B.Dženovć E.Humo (98) Polem upvl - nem složenm sstemm Infomto Zge. [] D.J.Wle (988) Glolly optonl esgn J.Wley New Yo. [] G.V.Relts (99) Rvn A. Engeneeng optmton Methos n ppltons J.Wley New Yo. [7] R.Gsov.M.Klov (99) Meto optme BGU MIns. [8] J.Petć L.Šen (98) Opeon stžvn I II Z ešenh t Nučn ng Beog. [9] A.M.Cln (99) Optmlnoe upvlene tehno - logčestm poessm Enegotomt Mosv. [] H.Opt (98) Moene poutontehn Stn un tenenen. Auflge Velg W. Ge Essen. [] M.E.Zoh (99) Sttstl Anlyss estmton n optmton of sufe fnsh n the gnng poess Development of Pouton System ylo-ns LD Lonon. [] J.Petć (99) Opeon stžvn Kng I II Svemen mnst Beog. [] J.Petć S. Zloe (98) Nelneno pogmne Nučn ng Beog. [] R.J.Duttn E.L.Peteson (987) Geometpogm - mng-heoy n pplton J.Wlley New Yo. [] N.J.Kuneov (99) Mtemtčesoe pogm - ovne Vsš šol Mosv. [] Aulč I. L. (99) Mtmtčseoe pogmovne v pmeh čh Vsš šol Mosv [7].S.Nov J.B.Asov (98) Optm poes - sov tehnolog metllov Mšnostoene-ehn Mosv-Sof. [8] S.Beeovć B.Stvć (998) eo meto - olog tošov Svemen mnst Beog. [9] V.Kolć (98) eo nme tošov R Beog. [] D.Zelenovć (98) Povon sstem Nučn ng Beog. [] M.Mlosvlevć M.Roovć (99) Čelčne onstue Gđevns ng Beog. [] C.Jovnovć (987) Zvene onstue Gđe - vnse onstue Gđevns ng Beog. [] R.Geen (98) Wel Desgn Pente -Hll New Yo [] C.Hse W.Rete (99) Lehuh es Lhto - genshwe-ssens C.Velg W.Get Essen. [] D.S.Mtovć D.Mhlovć (998) Lnen lge Gđevns ng Beog. [] S.Kuep (99) Mtemtč nl I II eh - nč ng Zge. IZVOD OPIMIZACIJA DIMENZIJA OPEREĆENOG ZAVARENOG SKLOPA MEODOM GEOMERIJSKOG PROGRAMIRANJA U u e n pmeu enog testčnog opteećenog venog slop všen optm negovh men s spet tošov vvn. P ovome postvlen e mtemtč moel optme s fnm ognčen oe p poetovnu mou uet u o tehnolog onstuto. Z ešvne postvlenog polem peložen e meto geometsog pogmn o e etlno đen u u u olu lgotm pogonog pmenu.n t nčn optmon l pmn t sveo se n uln t peo ogovuće fune o se ntno lše ešv. Meto e lustovn n enom čunsom ptčnom pmeu s lčtm oem fun ognčen. Pono e se sluč mneg stepen složenost o ešen može oć msmom ogovuće ulne fune pmenom mtemtče nle. Z sluč većeg stepen složenost neophon e pmen nee o meto nelnenog pogmn. U ovom sluču ešene polem e poenostvleno og svođen lnene enčne. Klučne eč: vene stutue po eenom eosleu mtemtč moel optme fun tošov testčn ognčen geometso pogmne potvn polnom vostu fun. Nun R pmlen:... R phven:... R e ostupn n stu: ZASIA MAERIJALA () o
8. Two Ion Interactions
8. Two on ntetons The moels of mgnet oe hve een se on mltonns of the fom on J J zw. Wht s the physl ogn of ths two on ntetons 8. Dpol nteton The ogn of lge moleul fels nnot e the wek mgnet pol nteton CD
More informationCalculation Method of Dynamic Load Bearing Curve of Double-row Four-point Contact Ball Bearing
Clulton Metho of Dynm Lo Beng Cuve of Doubleow Foupont Contt Bll Beng Shohun L College of Mehnl Engneeng Tnn Unvesty of Tehnology n Euton Tnn, Chn bstt On the bss of the stt nlyss of oubleow foupont ontt
More informationEmpirical equations for electrical parameters of asymmetrical coupled microstrip lines
Epl equons fo elel petes of syel ouple osp lnes I.M. Bsee Eletons eseh Instute El-h steet, Dokk, o, Egypt Abstt: Epl equons e eve fo the self n utul nutne n ptne fo two syel ouple osp lnes. he obne ptne
More informationIntroduction to Robotics (Fag 3480)
Intouton to Robot (Fg 8) Vå Robet Woo (Hw Engneeeng n pple Sene-B) Ole Jkob Elle PhD (Mofe fo IFI/UIO) Føtemnuen II Inttutt fo Infomtkk Unvetetet Olo Sekjonlee Teknolog Intevenjonenteet Olo Unvetetkehu
More informationConvolutional Data Transmission System Using Real-Valued Self-Orthogonal Finite-Length Sequences
Poeengs of the 5th WSEAS Intentonl Confeene on Sgnl Poessng Istnbul Tukey y 7-9 6 (pp73-78 Convolutonl Dt Tnssson Syste Usng Rel-Vlue Self-Othogonl Fnte-Length Sequenes Jong LE n Yoshho TANADA Gute Shool
More informationRigid Body Dynamics. CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Winter 2018
Rg Bo Dnmcs CSE169: Compute Anmton nstucto: Steve Roteneg UCSD, Wnte 2018 Coss Pouct k j Popetes of the Coss Pouct Coss Pouct c c c 0 0 0 c Coss Pouct c c c c c c 0 0 0 0 0 0 Coss Pouct 0 0 0 ˆ ˆ 0 0 0
More information6.6 The Marquardt Algorithm
6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent
More informationAbhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no
hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton
More informationME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof
ME6 Dnms, Spng HW Slutn Ke - Pve, gemetll.e. usng wngs sethes n nltll.e. usng equtns n nequltes, tht V then V. Nte: qunttes n l tpee e vets n n egul tpee e sls. Slutn: Let, Then V V V We wnt t pve tht:
More information5 - Determinants. r r. r r. r r. r s r = + det det det
5 - Detemts Assote wth y sque mtx A thee s ume lle the etemt of A eote A o et A. Oe wy to efe the etemt, ths futo fom the set of ll mtes to the set of el umes, s y the followg thee popetes. All mtes elow
More informationˆ 2. Chapter 4 The structure of diatomic molecules. 1 Treatment of variation method for the H 2+ ion 1. Shroedinger equation of H 2. e - r b.
Chpte 4 The stutue of tom moleules Tetment of vton metho fo the on. hoenge equton of Bon-Oppenheme Appoxmton The eletons e muh lghte thn the nule. Nule moton s slow eltve to the eleton moton. A θ e - R
More informationA Study on Root Properties of Super Hyperbolic GKM algebra
Stuy on Root Popetes o Supe Hypebol GKM lgeb G.Uth n M.Pyn Deptment o Mthemts Phypp s College Chenn Tmlnu In. bstt: In ths ppe the Supe hypebol genelze K-Mooy lgebs o nente type s ene n the mly s lso elte.
More informationWeek 8. Topic 2 Properties of Logarithms
Week 8 Topic 2 Popeties of Logithms 1 Week 8 Topic 2 Popeties of Logithms Intoduction Since the esult of ithm is n eponent, we hve mny popeties of ithms tht e elted to the popeties of eponents. They e
More informationPARAMETERS INFLUENCE ON THE CONTROL OF A PMSM
ISEF 007 - XIII Intentonl Symposum on Eletomgnet Fels n Mehtons, Eletl n Eleton Engneeng Pgue, Czeh Republ, Septembe 1-15, 007 PARAMETERS INFLUENCE ON THE CONTROL OF A PMSM M. P. Donsón Eletl Engneeng
More informationLecture 9-3/8/10-14 Spatial Description and Transformation
Letue 9-8- tl Deton nd nfomton Homewo No. Due 9. Fme ngement onl. Do not lulte...8..7.8 Otonl et edt hot oof tht = - Homewo No. egned due 9 tud eton.-.. olve oblem:.....7.8. ee lde 6 7. e Mtlb on. f oble.
More informationThe formulae in this booklet have been arranged according to the unit in which they are first
Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge og to the ut whh the e fst toue. Thus te sttg ut m e eque to use the fomule tht wee toue peeg ut e.g. tes sttg C mght e epete to use fomule
More informationLattice planes. Lattice planes are usually specified by giving their Miller indices in parentheses: (h,k,l)
Ltte ples Se the epol ltte of smple u ltte s g smple u ltte d the Mlle des e the oodtes of eto oml to the ples, the use s ey smple lttes wth u symmety. Ltte ples e usully spefed y gg the Mlle des petheses:
More informationMATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER
MATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER I One M Queston Fnd the unt veto n the deton of Let ˆ ˆ 9 Let & If Ae the vetos & equl? But vetos e not equl sne the oespondng omponents e dstnt e detons
More informationChapter I Vector Analysis
. Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw
More informationPrerna Tower, Road No 2, Contractors Area, Bistupur, Jamshedpur , Tel (0657) ,
R Pen Towe Rod No Conttos Ae Bistupu Jmshedpu 8 Tel (67)89 www.penlsses.om IIT JEE themtis Ppe II PART III ATHEATICS SECTION I (Totl ks : ) (Single Coet Answe Type) This setion ontins 8 multiple hoie questions.
More informationIllustrating the space-time coordinates of the events associated with the apparent and the actual position of a light source
Illustting the spe-time oointes of the events ssoite with the ppent n the tul position of light soue Benh Rothenstein ), Stefn Popesu ) n Geoge J. Spi 3) ) Politehni Univesity of Timiso, Physis Deptment,
More informationThe Area of a Triangle
The e of Tingle tkhlid June 1, 015 1 Intodution In this tile we will e disussing the vious methods used fo detemining the e of tingle. Let [X] denote the e of X. Using se nd Height To stt off, the simplest
More informationUniform Circular Motion
Unfom Ccul Moton Unfom ccul Moton An object mong t constnt sped n ccle The ntude of the eloct emns constnt The decton of the eloct chnges contnuousl!!!! Snce cceleton s te of chnge of eloct:!! Δ Δt The
More informationCOMP 465: Data Mining More on PageRank
COMP 465: Dt Mnng Moe on PgeRnk Sldes Adpted Fo: www.ds.og (Mnng Mssve Dtsets) Powe Iteton: Set = 1/ 1: = 2: = Goto 1 Exple: d 1/3 1/3 5/12 9/24 6/15 = 1/3 3/6 1/3 11/24 6/15 1/3 1/6 3/12 1/6 3/15 Iteton
More informationThe Shape of the Pair Distribution Function.
The Shpe of the P Dstbuton Functon. Vlentn Levshov nd.f. Thope Deptment of Phscs & stonom nd Cente fo Fundmentl tels Resech chgn Stte Unvest Sgnfcnt pogess n hgh-esoluton dffcton epements on powde smples
More informationNeural Network Introduction. Hung-yi Lee
Neu Neto Intoducton Hung- ee Reve: Supevsed enng Mode Hpothess Functon Set f, f : : (e) Tnng: Pc the est Functon f * Best Functon f * Testng: f Tnng Dt : functon nput : functon output, ˆ,, ˆ, Neu Neto
More information10 Statistical Distributions Solutions
Communictions Engineeing MSc - Peliminy Reding 1 Sttisticl Distiutions Solutions 1) Pove tht the vince of unifom distiution with minimum vlue nd mximum vlue ( is ) 1. The vince is the men of the sques
More informationLecture 5 Single factor design and analysis
Lectue 5 Sngle fcto desgn nd nlss Completel ndomzed desgn (CRD Completel ndomzed desgn In the desgn of expements, completel ndomzed desgns e fo studng the effects of one pm fcto wthout the need to tke
More informationOn Fractional Operational Calculus pertaining to the product of H- functions
nenonl eh ounl of Enneen n ehnolo RE e-ssn: 2395-56 Volume: 2 ue: 3 une-25 wwwene -SSN: 2395-72 On Fonl Oeonl Clulu enn o he ou of - funon D VBL Chu, C A 2 Demen of hem, Unve of Rhn, u-3255, n E-ml : vl@hooom
More informationYEAR VSA (1 Mark) SA (4 Marks) LA (6 Marks) Total Marks
VECTOR ALGEBRA D Weghtge 7 Ms SYLLABUS: VECTOR ALGEBRA Vetos sls, mgtue eto of veto Deto oses eto tos of veto Tpes of vetos (equl, ut, eo, pllel olle vetos, posto veto of pot, egtve of veto, ompoets of
More informationStability analysis of delayed system using Bode Integral
Stblty nlyss of elye system usng Boe Integl Ansh Ahy, Debt Mt. Detment of Instumentton n Eletons Engneeng, Jvu Unvesty, Slt-Lke Cmus, LB-8, Seto 3, Kolkt-798, In.. Detment of Eletons n ommunton Engneeng,
More informationInfluence of the Magnetic Field in the Solar Interior on the Differential Rotation
Influene of the gneti Fiel in the Sol Inteio on the Diffeentil ottion Lin-Sen Li * Deptment of Physis Nothest Noml Univesity Chnghun Chin * Coesponing utho: Lin-Sen Li Deptment of Physis Nothest Noml Univesity
More informationFuzzy Retrial Queues with Priority using DSW Algorithm
ISSN e: Volume 6 Iue 9 Septeme 6 Intentonl Jounl of omputtonl Engneeng Reeh IJER Fuzzy Retl Queue wth Poty ung DSW lgothm S Shnmugunm Venkteh Deptment Of MthemtGovenment t ollege Slem-7 In Deptment Of
More informationConcept of Activity. Concept of Activity. Thermodynamic Equilibrium Constants [ C] [ D] [ A] [ B]
Conept of Atvty Equlbrum onstnt s thermodynm property of n equlbrum system. For heml reton t equlbrum; Conept of Atvty Thermodynm Equlbrum Constnts A + bb = C + dd d [C] [D] [A] [B] b Conentrton equlbrum
More informationE-Companion: Mathematical Proofs
E-omnon: Mthemtcl Poo Poo o emm : Pt DS Sytem y denton o t ey to vey tht t ncee n wth d ncee n We dene } ] : [ { M whee / We let the ttegy et o ech etle n DS e ]} [ ] [ : { M w whee M lge otve nume oth
More information10.3 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 informationThe Parameters Tuning for Evolutionary Synthesis Algorithm
Inomt (00) 167 17 167 The Pmetes Tunng o Evoluton Snthess Algothm Gego Pp n Juj Šl Compute Sstems Deptment Jože Sten Insttute Jmov. 9 SI00 Ljuljn Sloven gego.pp@js.s, juj.sl@js.s, http://s.js.s Kewos:
More informationTopics for Review for Final Exam in Calculus 16A
Topics fo Review fo Finl Em in Clculus 16A Instucto: Zvezdelin Stnkov Contents 1. Definitions 1. Theoems nd Poblem Solving Techniques 1 3. Eecises to Review 5 4. Chet Sheet 5 1. Definitions Undestnd the
More informationUNIT10 PLANE OF REGRESSION
UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /
More informationSIMPLE NONLINEAR GRAPHS
S i m p l e N o n l i n e r G r p h s SIMPLE NONLINEAR GRAPHS www.mthletis.om.u Simple SIMPLE Nonliner NONLINEAR Grphs GRAPHS Liner equtions hve the form = m+ where the power of (n ) is lws. The re lle
More informationRotations.
oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse
More informationChapter Linear Regression
Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use
More informationChapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s:
Chpte 7 Kleene s Theoem 7.1 Kleene s Theoem The following theoem is the most impotnt nd fundmentl esult in the theoy of FA s: Theoem 6 Any lnguge tht cn e defined y eithe egul expession, o finite utomt,
More information2 dependence in the electrostatic force means that it is also
lectc Potental negy an lectc Potental A scala el, nvolvng magntues only, s oten ease to wo wth when compae to a vecto el. Fo electc els not havng to begn wth vecto ssues woul be nce. To aange ths a scala
More informationProof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed
Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston
More informationMathematical Reflections, Issue 5, INEQUALITIES ON RATIOS OF RADII OF TANGENT CIRCLES. Y.N. Aliyev
themtil efletions, Issue 5, 015 INEQULITIES ON TIOS OF DII OF TNGENT ILES YN liev stt Some inequlities involving tios of dii of intenll tngent iles whih inteset the given line in fied points e studied
More informationEE 410/510: Electromechanical Systems Chapter 3
EE 4/5: Eleomehnl Syem hpe 3 hpe 3. Inoon o Powe Eleon Moelng n Applon of Op. Amp. Powe Amplfe Powe onvee Powe Amp n Anlog onolle Swhng onvee Boo onvee onvee Flyb n Fow onvee eonn n Swhng onvee 5// All
More information( ) D x ( s) if r s (3) ( ) (6) ( r) = d dr D x
SIO 22B, Rudnick dpted fom Dvis III. Single vile sttistics The next few lectues e intended s eview of fundmentl sttistics. The gol is to hve us ll speking the sme lnguge s we move to moe dvnced topics.
More informationClass Summary. be functions and f( D) , we define the composition of f with g, denoted g f by
Clss Summy.5 Eponentil Functions.6 Invese Functions nd Logithms A function f is ule tht ssigns to ech element D ectly one element, clled f( ), in. Fo emple : function not function Given functions f, g:
More informationMCA-205: Mathematics II (Discrete Mathematical Structures)
MCA-05: Mthemts II (Dsrete Mthemtl Strutures) Lesson No: I Wrtten y Pnkj Kumr Lesson: Group theory - I Vette y Prof. Kulp Sngh STRUCTURE.0 OBJECTIVE. INTRODUCTION. SOME DEFINITIONS. GROUP.4 PERMUTATION
More informationNumbers 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 informationModule 4: Moral Hazard - Linear Contracts
Module 4: Mol Hzd - Line Contts Infomtion Eonomis (E 55) Geoge Geogidis A pinipl employs n gent. Timing:. The pinipl o es line ontt of the fom w (q) = + q. is the sly, is the bonus te.. The gent hooses
More informationMath 4318 : Real Analysis II Mid-Term Exam 1 14 February 2013
Mth 4318 : Rel Anlysis II Mid-Tem Exm 1 14 Febuy 2013 Nme: Definitions: Tue/Flse: Poofs: 1. 2. 3. 4. 5. 6. Totl: Definitions nd Sttements of Theoems 1. (2 points) Fo function f(x) defined on (, b) nd fo
More informationPrinciple Component Analysis
Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors
More informationPHYS 2421 Fields and Waves
PHYS 242 Felds nd Wves Instucto: Joge A. López Offce: PSCI 29 A, Phone: 747-7528 Textook: Unvesty Physcs e, Young nd Feedmn 23. Electc potentl enegy 23.2 Electc potentl 23.3 Clcultng electc potentl 23.4
More informationCondensed Plasmoids The Intermediate State of LENR
Conense Plsmos The Intemete Stte of ER ut Jtne www.onense-plsmos.om Gemny E-ml: lut.tne@t-one.e Abstt Ths oument esbes new theoy of ER bse on the expementl n theoetl fnngs of othe esehes suh s Ken Shoules
More informationTrigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.
Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted
More informationA Dynamical Quasi-Boolean System
ULETNUL Uestăţ Petol Gze Ploeşt Vol LX No / - 9 Se Mtetă - otă - Fză l Qs-oole Sste Gel Mose Petole-Gs Uest o Ploest ots etet est 39 Ploest 68 o el: ose@-loesto stt Ths e oes the esto o ol theoetl oet:
More informationElectric Potential. and Equipotentials
Electic Potentil nd Euipotentils U Electicl Potentil Review: W wok done y foce in going fom to long pth. l d E dl F W dl F θ Δ l d E W U U U Δ Δ l d E W U U U U potentil enegy electic potentil Potentil
More informationRepresenting Curves. Representing Curves. 3D Objects Representation. Objects Representation. General Techniques. Curves Representation
Reresentng Crves Fole & n Dm, Chter Reresentng Crves otvtons ehnqes for Ojet Reresentton Crves Reresentton Free Form Reresentton Aromton n Interolton Prmetr Polnomls Prmetr n eometr Contnt Polnoml Slnes
More information2. Elementary Linear Algebra Problems
. Eleety e lge Pole. BS: B e lge Suoute (Pog pge wth PCK) Su of veto opoet:. Coputto y f- poe: () () () (3) N 3 4 5 3 6 4 7 8 Full y tee Depth te tep log()n Veto updte the f- poe wth N : ) ( ) ( ) ( )
More informationX-Ray Notes, Part III
oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel
More informationData Compression LZ77. Jens Müller Universität Stuttgart
Dt Compession LZ77 Jens Mülle Univesität Stuttgt 2008-11-25 Outline Intoution Piniple of itiony methos LZ77 Sliing winow Exmples Optimiztion Pefomne ompison Applitions/Ptents Jens Mülle- IPVS Univesität
More informationPreviously. Extensions to backstepping controller designs. Tracking using backstepping Suppose we consider the general system
436-459 Advnced contol nd utomtion Extensions to bckstepping contolle designs Tcking Obseves (nonline dmping) Peviously Lst lectue we looked t designing nonline contolles using the bckstepping technique
More informationDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3
DEPATMENT OF CIVIL AND ENVIONMENTAL ENGINEEING FLID MECHANICS III Solutions to Poblem Sheet 3 1. An tmospheic vote is moelle s combintion of viscous coe otting s soli boy with ngul velocity Ω n n iottionl
More informationFactorising 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 informationLecture 6: Coding theory
Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those
More informationU>, and is negative. Electric Potential Energy
Electic Potentil Enegy Think of gvittionl potentil enegy. When the lock is moved veticlly up ginst gvity, the gvittionl foce does negtive wok (you do positive wok), nd the potentil enegy (U) inceses. When
More informationTable of Information and Equation Tables for AP Physics Exams
le of Infomton n Equton le fo P Phy Em he ompnyng le of Infomton n Equton le wll e pove to tuent when they tke the P Phy Em. heefoe, tuent my NO ng the own ope of thee tle to the em oom, lthough they my
More informationThis immediately suggests an inverse-square law for a "piece" of current along the line.
Electomgnetic Theoy (EMT) Pof Rui, UNC Asheville, doctophys on YouTube Chpte T Notes The iot-svt Lw T nvese-sque Lw fo Mgnetism Compe the mgnitude of the electic field t distnce wy fom n infinite line
More informationVECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors
1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude
More informationSummary: Binomial Expansion...! r. where
Summy: Biomil Epsio 009 M Teo www.techmejcmth-sg.wes.com ) Re-cp of Additiol Mthemtics Biomil Theoem... whee )!!(! () The fomul is ville i MF so studets do ot eed to memoise it. () The fomul pplies oly
More informationIMA Preprint Series # 2202
FRIENDY EQUIIBRIUM INTS IN EXTENSIVE GMES WITH CMETE INFRMTIN By Ezo Mch IM epnt Sees # My 8 INSTITUTE FR MTHEMTICS ND ITS ICTINS UNIVERSITY F MINNEST nd Hll 7 Chuch Steet S.E. Mnnepols Mnnesot 5555 6
More informationFluids & Bernoulli s Equation. Group Problems 9
Goup Poblems 9 Fluids & Benoulli s Eqution Nme This is moe tutoil-like thn poblem nd leds you though conceptul development of Benoulli s eqution using the ides of Newton s 2 nd lw nd enegy. You e going
More informationSSC [PRE+MAINS] Mock Test 131 [Answer with Solution]
SS [PRE+MINS] Mock Test [nswe with Solution]. () Put 0 in the given epession we get, LHS 0 0. () Given. () Putting nd b in b + bc + c 0 we get, + c 0 c /, b, c / o,, b, c. () bc b c c b 0. b b b b nd hee,
More informationR K /100 and R K /200 Quantum Hall Array Resistance Standards
R K / n R K / Quntum ll y Resstne tns W. Poe. ounouh K. ysh. Fhm F. Pueml G. Genevès ueu tonl e Métologe-Lotoe tonl Esss venue u Génél Lele F-96 Fonteny-ux-Roses Fne J. P. né Lotoe Eletonue e Phlps (LEP)
More informationSet of square-integrable function 2 L : function space F
Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,
More informationChapter 5: Your Program Asks for Advice.
Chte 5: You Pogm Asks fo Advce. Pge 63 Chte 5: You Pogm Asks fo Advce. Ths chte ntoduces new tye of ves (stng ves) nd how to get text nd numec esonses fom the use. Anothe Tye of Ve The Stng Ve: In Chte
More informationTrigonometry. Trigonometry. Curriculum Ready ACMMG: 223, 224, 245.
Trgonometry Trgonometry Currulum Rey ACMMG: 223, 22, 2 www.mthlets.om Trgonometry TRIGONOMETRY Bslly, mny stutons n the rel worl n e relte to rght ngle trngle. Trgonometry souns ffult, ut t s relly just
More informationChapter 3 Vector Integral Calculus
hapte Vecto Integal alculus I. Lne ntegals. Defnton A lne ntegal of a vecto functon F ove a cuve s F In tems of components F F F F If,, an ae functon of t, we have F F F F t t t t E.. Fn the value of the
More informationLecture 10. Solution of Nonlinear Equations - II
Fied point Poblems Lectue Solution o Nonline Equtions - II Given unction g : R R, vlue such tht gis clled ied point o the unction g, since is unchnged when g is pplied to it. Whees with nonline eqution
More informationSuggested t-z and q-z functions for load-movement responsef
40 Rtio (Exponent = 0.5 80 % Fnction (.5 times 0 Hypeolic ( = 0 % SHAFT SHEAR (% of lt 00 80 60 ULT Zhng = 0.0083 / = 50 % Exponentil (e = 0.45 80 % (stin-softening 40 0 0 0 5 0 5 0 5 RELATIVE MOVEMENT
More informationPhysics 604 Problem Set 1 Due Sept 16, 2010
Physics 64 Polem et 1 Due ept 16 1 1) ) Inside good conducto the electic field is eo (electons in the conducto ecuse they e fee to move move in wy to cncel ny electic field impessed on the conducto inside
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More information{nuy,l^, W%- TEXAS DEPARTMENT OT STATE HEALTH SERVICES
TXAS DARTMT T STAT AT SRVS J RSTDT, M.D. MMSSR.. Bx 149347 Astn, T exs 7 87 4 93 47 18889371 1 TTY: l800732989 www.shs.stte.tx.s R: l nmtn n mps Webstes De Spentenent n Shl Amnsttn, eby 8,201 k 2007, the
More informationExam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms
CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n
More informationTransition Matrix. Discrete Markov Chain To. Information Theory. From
essge essge essge Inftn se Inftn Tey tnstte (ene) ntn nnel eeve (ee) essge sgnl essge nse se estntn Tnstn Mtx Te fst nbe s ne f beng, f beng, n f beng Sttng f, te next nbe ll be (), (8), () Sttng f, te
More informationRigid Bodies: Equivalent Systems of Forces
Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton
More informationEN2210: Continuum Mechanics. Homework 4: Balance laws, work and energy, virtual work Due 12:00 noon Friday February 4th
EN: Contnuum Mechncs Homewok 4: Blnce lws, wok nd enegy, vtul wok Due : noon Fdy Feuy 4th chool of Engneeng Bown Unvesty. how tht the locl mss lnce equton t cn e e-wtten n sptl fom s xconst v y v t yconst
More informationDCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)
DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng
More informationParametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip
Pmeti Methods Autoegessive AR) Movig Avege MA) Autoegessive - Movig Avege ARMA) LO-.5, P-3.3 to 3.4 si 3.4.3 3.4.5) / Time Seies Modes Time Seies DT Rdom Sig / Motivtio fo Time Seies Modes Re the esut
More informationHomework 5 for BST 631: Statistical Theory I Solutions, 09/21/2006
Homewok 5 fo BST 63: Sisicl Theoy I Soluions, 9//6 Due Time: 5:PM Thusy, on 9/8/6. Polem ( oins). Book olem.8. Soluion: E = x f ( x) = ( x) f ( x) + ( x ) f ( x) = xf ( x) + xf ( x) + f ( x) f ( x) Accoing
More informationTHIS PAGE DECLASSIFIED IAW EO 12958
THIS PAGE DECLASSIFIED IAW EO 2958 THIS PAGE DECLASSIFIED IAW EO 2958 THIS PAGE DECLASSIFIED IAW E0 2958 S T T T I R F R S T Exhb e 3 9 ( 66 h Bm dn ) c f o 6 8 b o d o L) B C = 6 h oup C L) TO d 8 f f
More informationP a g e 3 6 of R e p o r t P B 4 / 0 9
P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J
More information" = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction
Eletromgnet Induton nd Frdy s w Eletromgnet Induton Mhel Frdy (1791-1867) dsoered tht hngng mgnet feld ould produe n eletr urrent n ondutor pled n the mgnet feld. uh urrent s lled n ndued urrent. The phenomenon
More informationLearning Enhancement Team
Lernng Enhnement Tem Worsheet: The Cross Produt These re the model nswers for the worsheet tht hs questons on the ross produt etween vetors. The Cross Produt study gude. z x y. Loong t mge, you n see tht
More informationSurds 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 informationPerformance evaluation and analysis of EV air-conditioning system
Wol Elet Vele Jounl Vol. 4 - ISSN 2032-3 - 20 WEVA Pge00019 Abstt EVS2 Senzen, Cn, Nov -9, 20 Pefomne evluton n nlyss of EV -ontonng system Po-Hsu Ln GVD Dvson, Automotve Rese n estng Cente, Cngu County,
More information6 Roots of Equations: Open Methods
HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng
More informationNow we must transform the original model so we can use the new parameters. = S max. Recruits
MODEL FOR VARIABLE RECRUITMENT (ontinue) Alterntive Prmeteriztions of the pwner-reruit Moels We n write ny moel in numerous ifferent ut equivlent forms. Uner ertin irumstnes it is onvenient to work with
More information