A Study of Fuzzy Linear Regression
|
|
- Angelica Johns
- 6 years ago
- Views:
Transcription
1 A tuy of Fuzzy Lr Rgrsso Dr. J-Hu J Drtt of ttsts Gr Vy tt Uvrsty A, Mg, 4940 Dr. w- og Mr. J.. o Drtt of A Mtts Nto g- Uvrsty T, Tw, R.O... Itrouto W oft us rgrsso yss to o t rtos tw t rsos t xtory vrs. I trto rgrsso yss, rsus r ssu to u to ro rrors. Tus, sttst tqus r to rfor stto fr rgrsso yss. Howvr, t rsus r sots u to t ftss of t o strutur or rs osrvtos. T urtty ts ty of rgrsso o os fuzzss, ot ro. Z 965 roos fuzzy sts, fuzzss s rv or ttto fuzzy t yss s o rsgy ortt. I orr to osr t fuzzss rgrsso yss, T t. 98 frst roos stuy of fuzzy r rgrsso F o. Ty osr t rtr sttos of F os ur two ftors, y t gr of t fttg t vguss of t o. T stto ros wr t trsfor to r rogrg LP s o ts two ftors. t sur of st ft y rsus ur fuzzy osrto s ot rst T s ro, Do 988 roos t fuzzy st-squrs ro, w s fuzzy xtso of t orry st squrs s o w f st o t s of fuzzy urs. I gr, t fuzzy rgrsso tos rougy v to two tgors. T frst s s o T s LP ro. T so tgory s s o t fuzzy st-squrs ro. I sto, w trou t fuzzy ur ts orto, s st foru, two fuzzy r rgrsso os tr st squrs stts. I sto 3, w trou ty fuzzy ur osytr ouy r tv fuzzy rgrsso o, Yg Ko s st foru, st squrs stts w rt to rs futos. I sto 4, w trto tos of ttg oss outrs fu ots to rv t vrg vus, rsus oo st foru for t fuzzy r rgrsso os..
2 I sto 5, w us t tort rsuts t rvous trs to yz t T s 987 t. T rvto of so ortt forus s gv s.. Itrouto to Fuzzy Lr Rgrsso. Fuzzy ur Its Orto Fuzzy t s tur ty of t, o-rs t or t wt sour of urtty ot us y ross. Ts of t s sy to f tur gug, so s, syotrs, vrots ootrs, t. Fuzzy urs v us to rrst fuzzy t. Ts r so us to o fuzzss of t. Lt R o-so Eu s wt ts or ot y.. A fuzzy ur s ur sotuous ovx futo F: R [0,] wt { x R F x } o-ty. I otr wors, fuzzy ur A s f s ovx orz fuzzy st of t r R so tt tr xsts xty o xo R wt F x o, ts rs Fx s ws otuous. Dfto. Zr [.6-63] Lt L R rsg, s futos fro R to [0,] wt L0; Lx< for x>0; Lx>0 for x<; L0 for x L 0. T fuzzy ur A s of -ty f for, α >0, β > 0 R, x L x, Ax α wr s t tr or ovu of A x R x, β α β r ft rgt srs, rstvy. yoy, A s ot y, α, β. If α β, A,α, α s sytr fuzzy ur, ot y A, α. For st, t gr gotr rtrsts of t rs futo of t or utz fuzzy ur, t trgur fuzzy ur, r sow t foowg: x α x, Ax α x x α, β Aotr x, t xot fuzzy ur, ts rs futo
3 x x Ax s x x s Dfto. Duos980 x, x, wr s s t sr. Lt A, α, β B, α, β two -ty fuzzy urs. T y t xtso r, t foowg ortos r f:. AB, α α, β β α, β λ, λα, λβ w λ >0. λ A λ, 3. λ A λ, α, β λ λβ, λα RL 4. B, β, α RL 5. A B α, β, w λ <0,, β, α RL, α β, β α Dfto.3 Eu st foru Lt A, α B, α two sytr fuzzy urs, t t st tw A B s f s: D α α Lt A, α, β B st tw A B s f s:., α, β two -ty fuzzy urs, t t D w α α wα β β wβ. Wr w > 0, w > 0, w > 0 r rtrry wgts. α. Gr Fuzzy Lr Rgrsso Mo β osr t foowg gr fuzzy r rgrsso o t Mo I: y Ao A x A x... A x,,,.3 wr x r r urs, y [ s, s ] r fuzzy urs, s t tr or o vu, s s t sr, A [ r, r ] r t fuzzy rgrsso rtrs, w s t s rs futo s y. How sou w stt A f t st tw two fuzzy urs r uf? W y trt yl s y R s s t ft rgt ots of t s t, rstvy. For t ft t ots { yl, x, x,..., x,,..., } sry to t rgt t ots { yr, x, x,..., x,,..., } w y us t r rgrsso o y β o βx... β x to ot t foowg stts, rstvy, yl Lo L x L x... L x,,,...,
4 yr Ro R x R x... R x,,,..., L R R L T, A [ r, r] wr, r. Usg ts wy to stt t rgrsso rtrs, A, t osr t vtg of usg t rs futo to sr t t. T fuzzy ot wr ot us t stto of rtrs. I orr to ot or rort stts of fuzzy rgrsso rtrs, A, t st squrs to t st tw two fuzzy urs sou osr. Bs o t fto.3, w us orry st-squrs to to stt t fuzzy rtrs t gr fuzzy r rgrsso o.3, Mo I. Assug tt y, s A, r v s rs futo, ftr rort trsto, w of x > 0. T.3 xrss s, s o, ro, r x, r x..., r x Aorg to t Eu st foru of., t st-squrs stts of r r t vus of, r w z t vu of D wr D [ o x... x s ro r x... r x ] Lt v r ot t gt of vtor v r, t y usg vtor trx xrssos D rwrtt s D r wr s sg trx,,,...,, r r, r,..., r,,,...,, s, s,..., s. o o Lt 0 0 t t soutos of r w z r foows: r D r s.4 T ov to us rgrsso wt rst to tr sr. T stto rsuts r ot rt to t rs futos. But, t tr r t yss, ts to rov ttr rsuts t stto of fuzzy rtr vus..3 ytr Douy Lr Atv Fuzzy Rgrsso Mo Ur t strutur of o I, f w us t Eu st foru t stsqurs to to o r rgrsso wt rst to tr sr rstvy, t t stts sow tt t trs srs r ot rt. But, D Urso Gst 000 t tt t y of t srs s soow t o t gtu of t stt trs. Trfor, ty roos t ouy r tv fuzzy rgrsso o t Mo II to ot t rtr stts.
5 Ty osr sytr fuzzy urs wt trgur rs futo. Wr fuzzy ur, y, s, s oty tf y t two rtrs tr s ft rgt sr. Mo II s f s foows: * * ε.5 * * * ε s.6 wr s trx otg t ut vrs t trx,,,..., s ou vtor otg t rgrsso rtrs of t o * frst o rfrr to s or rgrsso o,,,..., r t vtor of t osrv trs t vtor of t trot trs, rstvy, * ot vg sos, s, s,..., s r t vtor of t ssg srs t vtor of t trot srs, rstvy, ot vg so, s -vtor of s, r t rgrsso rtrs for t so rgrsso o rfrr to s sr rgrsso o. Arty, t ov o s s o two r os. T frst o trots t trs of t fuzzy osrvtos, t so o ys t srs, y ug otr r o ovr t frst o. Osrv tt rtv vrs X r t to osrto Eq..6 troug t osrv trs. T o s to t to out oss r rtos tw t sz of t srs t gtu of t stt trs. Ts s oft t s r wor tos, wr og trs srs s y for st, t urtty or fuzzss wt surt ou o ts gtu. D Urso Gst us t Eu st foru of. t stsqurs to to ot t stts of, su tt t vu of D s z, wr D * * Lt 0, 0 0, ty ot t foowg qutos: Bs o t qutos.7, ty ot t foowg st-squrs trtv soutos of, :
6 .8 T rvto of t rursv soutos of, : fro t frst quto of.7, w sy ot, susttutg t to t so tr qutos of.7, w ot: wr,,,. Fro.0, w ot, susttutg t to.9, w ot sf qurt quto of : M M M 0 Wr M, M 3 By sovg t qurt quto of, w ot, M 3. M ± M 4M M 3, t orrsog soutos of M, T st-squrs stts wr ot y susttutg ts two sts of â,, to D su tt t vu of D s z. Bs o t qutos of â,,, w ou tt o ttr wt of rs futo of t rsos fuzzy ur, y, s, t stts of rtrs r t s. Trfor, ts st squrs stts o ot osr otr oss ss of fuzzy urs. 3. ty of Fuzzy Lr Rgrsso 3. osytr Douy Lr Atv Fuzzy Rgrsso Mo W w v ur rs xtory vrs X,,..., fuzzy t vr Y,, q wr s t tr, q, rstvy, t ft rgt srs, o to orort t oss fu of t gtu of t trs o t srs, t to out D Urso Gst, 000, 00, 00. If t fuzzy rsos urs y q, ] r [
7 osytr wt trgur rs futo. D Urso 003 roos fuzzy rgrsso o t Mo III w s xrss t trx for: * ε * 3. P P * λ * * P 3. * * * q q ρ q g 3.3 wr s trx otg t vtor ott to rs ut * vrs;, r vtors of t osrv trs trot trs, * rstvy; P, P r vtors of osrv ft srs trot ft srs, * rstvy; q, q r vtors of osrv rgt srs trot rgt srs, rstvy; s vtor of rgrsso rtrs for t rgrsso o for ;,, g, r rgrsso rtrs for t rgrsso os for P q ; s vtor of s; ε, λ, ρ r vtors of rsus. Ts o s s o tr su-os. T frst o trots t trs of t fuzzy t, t otr two su-os r ut ovr t frst o y t srs. Ts foruto ows t o to osr oss rtos tw t sz of t srs t gtu of t stt trs, s t s oft ssry r s stus. Mo III osytr ouy r tv fuzzy rgrsso o. D Urso us t Eu st foru of. t st-squrs to to ot t stts of,,, g, su tt t vu of D s z, wr D * * π P P π * q q π q π P P P π q q q g g g π 3.4 q π, π, π q r rtrry ostv wgts. Rursv soutos to t ov syst r fou y qutg to zros t rt rvts wt rst to t rtrs,,, g, : â [ π P π q gπ ] π π g π q P P ĝ q ĥ q g q q 3.5 Wr,,, g, r t trtv st-squrs stts ot t t of t trtv ross. T otzto rour os ot gurt t ttt of t go u, oy o o. For ts rso, t s suggst to tz t trtv q
8 gort y osrg svr oss strtg ots orr to t stty of t souto. Bs o t qutos of,,, g,, w ou tt t stts of rtrs r ot rt to t rs futo of t rsos fuzzy ur. 3. Yg Ko s Dst Foru Ur t strutur of Mo I, II, III t us of Eu st, t stsqurs stts r ot to osr t oss fft of t rs futo of fuzzy rsos urs. I ts sto, w w t t Yg Ko s 996 st foru to try to f t st-squrs stts w r rt to t rs futo of fuzzy rsos urs. Dfto 3. Yg Ko s st foru996 Lt F R ot t st of -ty fuzzy urs. Df w ty of st for y A, α, β, B, α, β F R s foows: A, B α α rβ rβ 3.6 wr L ω ω r 0 0 R ω ω Yg Ko 996 so rov tt F R, s ot tr s. If A B r sytr ty fuzzy urs t r A, B 3 α α. If A B r sytr trgur ty of fuzzy urs t L x x x 0 x fuzzy urs t L x x 0. If A B r xot ty of / x x Γ. or wt t 0 0 st forus of.., t st foru of 3.6 vo t sutv o of t wgts w > 0, w > 0, w > 0 r rtrry wgts. α 3.3 T Lst qurs Estts Bs o Yg Ko s Dst I ts sto, w w osr ty of rsos fuzzy urs us t st foru of 3.6 to f st squrs stts of rgrsso rtrs. Ur t strutur of Mo I, f w v sytr ty fuzzy rsos urs y, s, t r 3.6. T su of squr rror D xrss vtor for: D r r 3 6 r r 4 r Lt 0 0 t r β
9 r 4 r t soutos of r w z D r s foows: r 3.7 Trfor, ur t strutur of Mo I, o ttr wtr w us t st foru of. or 3.6, w ot t s st squrs stts ty r r ot rt wt tr ss rs futos. Nxt, t us osr Mo II D Urso Gst 000, ouy r tv fuzzy rgrsso o, t su of squr rror D xrss vtor for: D [ ] [ ] Lt 0, 0 0, ftr gty tous ot utos s Ax I w ot t foowg st squrs stts: â,, K ± K 4KK K, 3 â 3 X wr K, 3 K, K 3 3, 3,,,. T st-squrs stts wr ot y susttutg ts two sts of â,, to D su tt t vu of D s z. Bs o t qutos of â,,, w ou tt ts st squrs stts o rt to t rs futo of t rsos fuzzy ur, y, s. Ur t strutur of Mo III D Urso 00 osr osytr ty of rsos fuzzy urs, t su of squr rror D xrss vtor for: D [ ] P [ g ] rq
10 3 6 3 rg r g rg P rg q r r g P q r P rq r P P q q Lt 0, 0, 0, 0 0, ftr gty tous g ot utos w ot t foowg qutos: rg r g P P rg q rg q r r g 0 P 0 P 0 r rq r r g r 0 r rq r r g r 0 t qutos r too ot to f gr soutos of,,, g, w ust st t foowg rursv qutos try to us tts softwr to f oss soutos. [3 P P 3 rg r g rg r q r g q r g r] P g rq r r P rq rg r Fro t ov qutos, t s ovous tt t st squrs stts r rt to t rs futo of t rsos fuzzy ur, y, s. 4. Dgost of Outrs Ifus 4. Dgost of Outrs Ifus Lr Rgrsso Mo Atoug rsu yss s usfu ssssg o ft, rturs fro t rgrsso o r oft y t fttg ross. For x, tr y outrs tr t rsos or xtory vrs tt v osr fft o t yss. Osrvtos tt sgfty fft frs rw fro t t r s to fut. Mtos for ssssg fu r tyy s o t g t vtor of rtr stts w osrvtos r t.
11 T vrg x x s ssot wt t t t ot surs, t t s of t xtory vrs, ow fr t osrvto s fro t otr - osrvtos. For t ot wt g vrg, ros 0, ts t s oss outr. T rsus y y r us to tt oss outrs for t rsos vr y, wr ŷ s t t rt y vu. A rg vu of ts t t t ot ou outr. O y so us y y to tt oss outrs, wr y s t rt y vu w t t osrvto s ro fro t yss. A rg vu of so ts t t D t ot ou outr. I trto r rgrsso yss, o y us t oo st, ΥΥ s s to tt oss fut t ots wr Υ s t rt Y vtor vu w t t osrvto s ro fro t yss, s t ur of rtrs, s s t squr rror. A rg vu of D ts tt t t ot ou fut osrvto. O of t vtgs of usg oo st s tt o ttr wt surt uts r us t xtory rsos vrs, t vu of D w ot fft. 4. Dgost of Outrs Ifus Fuzzy Lr Rgrsso Mo I ts sto, w w osr t Mo I s.3 rv t orrsog forus of,, D to tt oss outrs fut t ots. For Mo II s.5.6 Mo III s 3., 3., 3.3, w wr ot to rv y forus of,, D to tt oss outrs fut t ots. Bs o t Eu st, w ot s t rvtos Ax A. s x s x r 4. x s xr 4. s wr x s t rsu fro t tr of fuzzy ur s xr s t rsu fro t srs of fuzzy ur. â r r f.4.
12 ry, s o t Yg Ko s st w ot s t rvtos Ax A. s y, y s, y y Fro , t rto tw r t s s gr r rgrsso o. Tt s, rg vu of, ts t t t ot ou outr. I orr to rv foru sr to t oo s st ur t fuzzy vrot, w to f w ty of st tw fuzzy vtors. Lt F R ot t st of -ty fuzzy urs, ~ F R { X, X,..., X X F R } s t st of fuzzy so vtors. ~ Bs o t st fto F R, w f w st F R. L 4. Lt : F R F R R tr, for y two fuzzy vtors ~ X, X,..., X, Υ Y, Y,..., Y F R, f ~, Υ X, Y 4.5 t ~ ~ s tr F R. If s ot tr t so os ~ s t roof Ax 3. W s s tr, f oo s st D s foows: ~ Υ, Υ r r D s s t w ot s t rvto Ax 4 D s s wr s. W s Yg Ko s tr, f oo s st ~ Υ, Υ D s D s foows: 4.6 { } r r r r s t w ot s Ax A.4
13 wr s D s s Atoug t forus oos t s, t vus of s r ffrt. I gr, s 4.7 s rgr t t vu of s 4.6, trfor t oo st ut 4.6 s rgr t t oo st ut 4.7. Fro w w tt D s fft y t vrg vu rsu. Ts s t s s t trto rgrsso yss. w wr ot to rv sr forus s for Mo II III, t st w o s to t t ot r t rut t vus of, D, t. 5. Dt Ayss I ts sto, w w us t T s t 987, s T to ustrt t tort rsuts w w ot t rvous stos. T t st ots tr t vrs, o fuzzy rsos vr t t ots. W oy osr xot fuzzy rsos vus. T vtg of usg xot rs futo s tt w oy to oos rort vu Not: s t vu of ty fuzzy urs to rft t struto of rsos vr. If t vus of rsos vr t to f outs t trv of xstg t t w oos sr vu. Otrws, w w oos rgr vu to sr t rs futo. w wr ot to rv t st squrs stts for o III w oy osr xot rs futo, w w us o I II to o t yss. Ts sow t rsuts of usg t Eu st, Yg Ko s st ffrt vus. I t, t ots t st squrs stts, t su of squr rsus, t vrg vu, t vus of, t OOK st, D. ur t Eu s st foru, t vu w ot fft t rsuts of usg o I II, trfor w oy gv t rsuts of s T 3.
14 T : T s Dt 987 s # Prtors Fuzzy Rsos Vr x Y, r x x , , , , , , , , , ,44 T : Mo I,, Lst-qurs Estts Ur Eu Dst s #, s, s D 96,4 93.0, ,47.48, , , , , , , * * 0.5* 6 94, , , , * * 0.50* 8 6,78.65, * ,5 0.89, , , ,3.5,7.9,5.03 r 8.0,.64,.0, T 3: Mo II,, Lst-qurs Estts Ur Eu Dst s #, s, s D 96, , ,47.04, ,33 50., * 0.66* 4 06, , , , * 74.67* 90.38* , , * 0.63* 7 07,4 08., * ,78.7, * 0.6* 9 08,5.48, * , , ,3.43,7.6,5.40, 0.9, 4.88, 36.98
15 T 4: Mo I,., Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96,4 93.0, ,47.48, , , , , , , * * 0.5* 6 94, , , , * * 0.55* 8 6,78.65, * ,5 0.89, , , ,3.5,7.9,5.03, r 8.0,.64,.0,.85, T 5: Mo II,., Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96,4 94.9, ,47.3, , , * * , , , , * , , * * , , * , , * 498.7* 0.3* 9 08,5.8, , , ,3.30,7.4,5.9, 0.43, , 67.3
16 T 6: Mo I,, Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96,4 93.0, ,47.48, , , , , , , * * 0.5* 6 94, , , , * * 0.55* 8 6,78.65, * ,5 0.89, , , ,3.5,7.9,5.03, r 8.0,.64,.0,.85, 49.9 T 7: Mo II,, Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96, , ,47.33, ,33 5.8, * * , , ,79 9., * , , * 493.7* , , * , , * * 0.3* 9 08,5.65, , , ,3.9,7.45,5.7, 0.43, , 87.75
17 T 8: Mo I, 3, Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96,4 93.0, ,47.48, , , , , , , * * 0.5* 6 94, , , , * * 0.55* 8 6,78.65, * ,5 0.89, , , ,3.5,7.9,5.03, r 8.0,.64,.0,.85, T 9: Mo II, 3, Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96, , ,47.33, ,33 5.3, * 339.6* , , ,79 9., * , , * 498.5* , , * , , * 479.* 0.3* 9 08,5.67, , , ,3.9,7.44,5.7, 0.43, , 97.3
18 T 0: Mo I, 0, Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96,4 93.0, ,47.48, , , , , , , * * 0.5* 6 94, , , , * * 0.54* 8 6,78.65, * ,5 0.89, , , ,3.5,7.9,5.03, r 8.0,.64,.0,.85, 58.0 T : Mo II, 0, Lst-qurs Estts Ur Yg Ko s Dst s #, s, s D 96, , ,47.3, , , * * , , , , * , , * 545.3* , , * , , * 50.7* 0.3* 9 08,5.86, , , ,3.30,7.40,5.9, 0.43, -.96, 83.9
19 5. Dsusso Fro T 3, t stts of tr sr ur o I r ttr t tos stts o II. I tory, f w usyg Ko s st, t stts of tr sr ur o II sou fft y t vu of. But, s o Ts 5,7,9,, w fou tt ffrt vus o ot fft vry u o t stts. I tory, t st foru vus o ot fft t stts of o I rtrs. But, ty o fft t rtr stts o II. Bs o Ts 3 5, t usg of ffrt foru s or fft o t rtr stts o II. s #5 #7 v rgr vrg vus, ty r oss outrs fro t rtors. I o I, s o t vu of t ss o oss outrs fro t rsos vr. Howvr, s o t vus of Ts,4,6,8, s #5,7,8 r oss outrs fro t rsos vr. I o II ur t Eu st, T 3 sows tt s #3,5,6,8,9 r t fv oss outrs fro t rsos vr. But, ur t Yg Ko s st, Ts 5,7,9, sow tt oy s #3,6,8 r t tr oss outrs fro t rsos vr. Ur o I, s o Ts,4,6,8,0, s #5,7 v rgr D vus ty r fut osrvtos. Ur o II Eu st, t 3 sows tt s #3,6,8 v rgr D vus. But, o II us Yg Ko s st, oy s #8 s rg D vu s fut ot s Ts 5,7,9,. If w us xot rs futo for our fuzzy urs usyg Ko s st, ow to st oos t vu to o fuzzy r rgrsso ur o II? T sst ru s to oos t vu su tt t rsu su of squrs,, s sst. Bs o ts 5,7,9,, w s t st o s.
20 APPENDIX A.: T rvto of â,, 3.8 D ] [ ] [ Lt 0 D, 0 D 0 D, w ot 0 D 3 3 A.. 0 D A.. 0 D A..3 Fro A.., w ot â 3 3 X, susttutg â to A.. A..3, w ot 0 D A..4 0 D A..5 wr,,,. Fro A..5, w ot susttutg t to A..4 w ot qurt quto of, 0 3 K K K. T souto s 3 4 K K K K K ± A.: T rvto of 4., 4.3, 4.4 I. Bs o Eu st foru, w v r x s x
21 s x, r x trfor s r s x x x s xr x x s II. Bs o Yg Ko s st foru, w v x [ s x x r] [ s x x r] 3 x [ s x r] 3 s x [ s x xr ] [ s x xr ] 3 x s xr 3 A.3: Proof of L 4. s I orr to rov ~ s tr, w to rov t foowg tr rorts: ~ ~ ~., Υ F R,, Υ 0. If, Υ 0 t Υ. ~ ~ ~., Υ F R,, Υ Υ,. ~ ~ ~ ~ 3.,Υ,Ζ F R,, Υ, Ζ Ζ, Υ. s tr, t s sy to sow tt rorts r stsf. W to sow tt rorty 3 s stsf: ~, Υ X, Y X, Z Z, Y ~ ~, Ζ Ζ, Υ ~ ~, Ζ Ζ, Υ ~ ~ ~ Trfor,, Υ, Ζ Ζ, Υ. X, Z Z, Y
22 Assu tt F R, ~ squ F R,.., ε > 0 for, >, X, X < s ot tr. Lt { }, Ν X, X ~, uy, > < ε. T, ~, < ε. H,, { X } s uy squ F R. Trfor, X F R, X X. Lt X, X,..., X. X X for ε > 0, Ν ε for >, w v X, X <,,,...,. Lt x{,,..., }, ~ T for >, w v, X, X < ε. Tt s,. A.4: T rvto of qutos ~ Ur t Eu st:, D Υ Υ Y, Y s s x x xr xr s s s s ~ Ur Yg Ko s st:, D Υ Υ Y, Y s s { x x [ x xr x xr ] s s 3 [ x xr x xr ] } s s
23 REFERENE. D. Duos, H. Pr, Fuzzy ts ysts: Tory Atos, A Pusrs, Nw Yor, Zr, H. J., 996, Fuzzy t Tory Its Atos, Kuwr A Prss, Dorrt. 3. Drr, N. R. t, H. 980, A Rgrsso Ayss, Wy, Nw Yor. 4. D Urso, P. Gst, T. 000, A Lst-squrs Aro to Fuzzy Lr Rgrsso Ayss, outto ttsts Dt Ayss 34, D Urso, P., 003, Lr Rgrsso Ayss for Fuzzy/rs Iut Fuzzy/rs Outut Dt, outto ttsts Dt Ayss 4, T, H., 987, Fuzzy Dt Ayss y Possst Lrr Mos, Fuzzy ts ysts 4, T, H., U,., As, K., 98, Fuzzy Lr Rgrsso Mo, IEEE Trs. ysts M yrt, Xu, R. L,., 00, Mutso Lst-squrs Fttg Wt Fuzzy Mo, Fuzzy ts ysts 9, Yg, M.. Ko,. H., 996, O ss of -urs ustrg Prours for Fuzzy Dt, Fuzzy ts ysts 84, Yg, M.. Lu, H. H., 003, Fuzzy Lst-squrs Agors for Itrtv Fuzzy Lr Rgrsso Mos, Fuzzy ts ysts 35, PENA, D 005, A Nw ttsts for Ifu Lr Rgrsso, Totrs VOL. 47, NO., -.
Planar convex hulls (I)
Covx Hu Covxty Gv st P o ots 2D, tr ovx u s t sst ovx oyo tt ots ots o P A oyo P s ovx or y, P, t st s try P. Pr ovx us (I) Coutto Gotry [s 3250] Lur To Bowo Co ovx o-ovx 1 2 3 Covx Hu Covx Hu Covx Hu
More informationOn Hamiltonian Tetrahedralizations Of Convex Polyhedra
O Ht Ttrrzts O Cvx Pyr Frs C 1 Q-Hu D 2 C A W 3 1 Dprtt Cputr S T Uvrsty H K, H K, C. E: @s.u. 2 R & TV Trsss Ctr, Hu, C. E: q@163.t 3 Dprtt Cputr S, Mr Uvrsty Nwu St. J s, Nwu, C A1B 35. E: w@r.s.u. Astrt
More informationComputer Graphics. Viewing & Projections
Vw & Ovrvw rr : rss r t -vw trsrt: st st, rr w.r.t. r rqurs r rr (rt syst) rt: 2 trsrt st, rt trsrt t 2D rqurs t r y rt rts ss Rr P usuy st try trsrt t wr rts t rs t surs trsrt t r rts u rt w.r.t. vw vu
More informationT H E S C I E N C E B E H I N D T H E A R T
A t t R u r s - L x C t I. xtr turs t Lx Ct Rurs. Rr qurtr s s r t surt strutur. Ts Att Rurs rv ut us, s srt t tr t rtt rt yur t w yu ru. T uqu Lx st ut rv ss ts ss t t y rt t tys t r ts w wr rtts. Atrx
More informationPriority Search Trees - Part I
.S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal
More informationFace Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction
F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F
More informationDifferentiation of allergenic fungal spores by image analysis, with application to aerobiological counts
15: 211 223, 1999. 1999 Kuw Puss. Pt t ts. 211 tt u ss y yss, wt t t uts.. By 1, S. s 2,EuR.Tvy 2 St 3 1 tt Ss, R 407 Bu (05), Uvsty Syy, SW, 2006, ust; 2 st ty, v 4 Bu u (6), sttut Rsty, Uvsty Syy, SW,
More informationSheet Title: Building Renderings M. AS SHOWN Status: A.R.H.P.B. SUBMITTAL August 9, :07 pm
1 2 3 4 5 6 7 8 9 1 11 12 13 14 15 16 17 18 19 orthstar expressly reserves its common law copyright and other property rights for all ideas, provisions and plans represented or indicated by these drawings,
More informationNORTHLAKE APARTMENTS
PRT RW RVTO VTY P PROT RPTO TR # UR P PROPRTY.. /..T..... T. R. V..W.P.. '. OT......... R...U..O. O. O. OT. OOR. PT..T..Y...... P. V.. R... W....... V.. Q. QUP..W.. XT.....O.................. OR OT R OTO
More informationVOID CABLE REQUIREMENTS
XST & W OTOS 0 SURTY SYOS Orange ounty onvention enter PORTT OTS R OTS W TV R # PX TYP RQURS /" OUT RO R OTO T..., WT US. OR RS OT OT SS, OUT T T, U.O.. W 0 R POR R 0 R R RQURS O () TYP. PX TYP #. OTRTOR
More information, k fftw ' et i 7. " W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M».
VOZ O } 0U OY? V O O O O R 3 D SO X S O R Y F O R 59 VO O OUY URY 2 494 O 3 S? SOS OU 0 S z S $500 $450 $350 S U R Y Sz Y 50 300 @ 200 O 200 @ $60 0 G 200 @ $50 S RGS OYS SSS D DRS SOS YU O R D G Y F!
More informationSAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL
S SRUUR OR OORO SU sketch SYO SRPO OO OU O SUPPOR YP SUPPOR O UR SOS OVR SOS (xwx) X W (S) RR RWS U- R R OR ROO OR P S SPR SO S OS OW "Wx00"x0" 000.0, 8/7.0 Z U- R R UPPR ROO S S S SPR SO S OS OW 0"Wx0"x90"
More informationHaving a glimpse of some of the possibilities for solutions of linear systems, we move to methods of finding these solutions. The basic idea we shall
Hvn lps o so o t posslts or solutons o lnr systs, w ov to tos o nn ts solutons. T s w sll us s to try to sply t syst y lntn so o t vrls n so ts qutons. Tus, w rr to t to s lnton. T prry oprton nvolv s
More informationTHE in-loop deblocking filter in the MPEG-4 AVC/H.264. Parallel Deblocking Filtering in MPEG-4 AVC/H.264 on Massively-Parallel Architectures
4205 1 Pr D Ftr MPEG-4 AVC/H.264 Mssvy-Pr Artturs Brt Ptrs, Crs-Frr J. Hrs, J D C, Mr, IEEE, Ptr Lrt, Mr, IEEE, Wsy D Nv, R V W, Mr, IEEE. Astrt T tr t MPEG-4 AVC/H.264 str s utty x us ts tt tvty, rsut
More information/99 $10.00 (c) 1999 IEEE
P t Hw Itt C Syt S 999 P t Hw Itt C Syt S - 999 A Nw Atv C At At Cu M Syt Y ZHANG Ittut Py P S, Uvty Tuu, I 0-87, J Att I t, w tv t t u yt x wt y tty, t wt tv w (LBSB) t. T w t t x t tty t uy ; tt, t x
More informationPosterior analysis of the compound truncated Weibull under different loss functions for censored data.
INRNAIONA JOURNA OF MAHMAIC AND COMUR IN IMUAION Vou 6 oso yss of h oou u Wu u ff oss fuos fo so. Khw BOUDJRDA Ass CHADI Ho FAG. As I hs h Bys yss of gh u Wu suo s os u y II so. Bys sos osog ss hv v usg
More informationApplications of trees
Trs Apptons o trs Orgnzton rts Attk trs to syst Anyss o tr ntworks Prsng xprssons Trs (rtrv o norton) Don-n strutur Mutstng Dstnton-s orwrng Trnsprnt swts Forwrng ts o prxs t routrs Struturs or nt pntton
More informationA ' / 1 6 " 5 ' / 4 " A4.2 48' - 0" 3 12' - 7" 13' - 11" 10' - 0" 9' - 0" 2' - 6" 1. 2: 12 INDICATES SHOW MELT TYP ABV ABV
4. 4. 4. K ' - / " ' - / 4 " 0 ' - / " ' - 0 " ' - 0 " ' - / " 4 ' - 0 " 4. M U PPR 48' - 0" ' - ' - " 0' - 0" ' - 0" ' - ". : WOM ' - 0 " OT: PROV URROU TR OUT SVS OR UTUR SP UTTY T OR QUSTR MPUS OTO
More informationTheorem 1. An undirected graph is a tree if and only if there is a unique simple path between any two of its vertices.
Cptr 11: Trs 11.1 - Introuton to Trs Dnton 1 (Tr). A tr s onnt unrt rp wt no sp ruts. Tor 1. An unrt rp s tr n ony tr s unqu sp pt twn ny two o ts vrts. Dnton 2. A root tr s tr n w on vrtx s n snt s t
More informationCENTER POINT MEDICAL CENTER
T TRI WTR / IR RISR S STR SRST I TT, SUIT SRST, RI () X () VUU T I Y R VU, SUIT 00 T, RI 0 () 00 X () RISTRTI UR 000 "/0 STY RR I URT VU RT STY RR, RI () 0 X () 00 "/0 STIR # '" TRV IST TRI UIIS UII S,
More informationAn Optimal and Progressive Algorithm for Skyline Queries
A Opt Prorssv Aort or S Qurs Dtrs Pps Yu To Gr Fu Brr Sr* Dprtt o Coputr S Ho Ko Uvrst o S Too Cr Wtr B, Ho Ko {trs,r}@s.ust. Dprtt o Coputr S Cr Mo Uvrst Pttsur, USA to@s.u.u * Dpt. o Mtts Coputr S Ppps-Uvrst
More informationOverview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).
Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h
More informationminimize c'x subject to subject to subject to
z ' sut to ' M ' M N uostrd N z ' sut to ' z ' sut to ' sl vrls vtor of : vrls surplus vtor of : uostrd s s s s s s z sut to whr : ut ost of :out of : out of ( ' gr of h food ( utrt : rqurt for h utrt
More informationSimulation of Natural Convection in a Complicated Enclosure with Two Wavy Vertical Walls
A Mtt S, V. 6, 2012,. 57, 2833-2842 Sut Ntu Cvt Ct Eu wt Tw Wvy Vt W P S Dtt Mtt, Futy S K K Uvty, K K 40002, T Ct E Mtt CHE, S Ayutty R., B 10400, T y 129@t. Sut Wtyu 1 Dtt Mtt, Futy S K K Uvty, K K 40002,
More informationFuzzy Reasoning and Optimization Based on a Generalized Bayesian Network
Fuy R O B G By Nw H-Y K D M Du M Hu Cu Uvy 48 Hu Cu R Hu 300 Tw. @w.u.u.w A By w v wy u w w uy. Hwv u uy u By w y u v w uu By w w w u vu vv y. T uy v By w w uy v v uy. B By w uy. T uy v uy. T w w w- uy.
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationLecture 20: Minimum Spanning Trees (CLRS 23)
Ltur 0: Mnmum Spnnn Trs (CLRS 3) Jun, 00 Grps Lst tm w n (wt) rps (unrt/rt) n ntrou s rp voulry (vrtx,, r, pt, onnt omponnts,... ) W lso suss jny lst n jny mtrx rprsntton W wll us jny lst rprsntton unlss
More informationClosed Monochromatic Bishops Tours
Cos Monoromt Bsops Tours Jo DMo Dprtmnt o Mtmts n Sttsts Knnsw Stt Unvrsty, Knnsw, Gor, 0, USA mo@nnsw.u My, 00 Astrt In ss, t sop s unqu s t s o to sn oor on t n wt or. Ts ms os tour n w t sop vsts vry
More informationHow delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics
How y quos rs Egrg? Gábor Sépá Dprm of App Ms Bups Ursy of Toogy Eooms Cos Aswr: Dy quos rs Egrg by o of bos by formo sysm of oro - Lr sby bfuros summry - M oo bros - Smmyg ws of rus moorys - Bg um robo
More informationSAMPLE CSc 340 EXAM QUESTIONS WITH SOLUTIONS: part 2
AMPLE C EXAM UETION WITH OLUTION: prt. It n sown tt l / wr.7888l. I Φ nots orul or pprotng t vlu o tn t n sown tt t trunton rror o ts pproton s o t or or so onstnts ; tt s Not tt / L Φ L.. Φ.. /. /.. Φ..787.
More informationCMPS 2200 Fall Graphs. Carola Wenk. Slides courtesy of Charles Leiserson with changes and additions by Carola Wenk
CMPS 2200 Fll 2017 Grps Crol Wnk Sls ourtsy o Crls Lsrson wt ns n tons y Crol Wnk 10/23/17 CMPS 2200 Intro. to Alortms 1 Grps Dnton. A rt rp (rp) G = (V, E) s n orr pr onsstn o st V o vrts (snulr: vrtx),
More informationExtension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem
Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst
More informationL.3922 M.C. L.3922 M.C. L.2996 M.C. L.3909 M.C. L.5632 M.C. L M.C. L.5632 M.C. L M.C. DRIVE STAR NORTH STAR NORTH NORTH DRIVE
N URY T NORTON PROV N RRONOUS NORTON NVRTNTY PROV. SPY S NY TY OR UT T TY RY OS NOT URNT T S TT T NORTON PROV S ORRT, NSR S POSS, VRY ORT S N ON N T S T TY RY. TS NORTON S N OP RO RORS RT SU "" YW No.
More information176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s
A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps
More informationWeighted Graphs. Weighted graphs may be either directed or undirected.
1 In mny ppltons, o rp s n ssot numrl vlu, ll wt. Usully, t wts r nonntv ntrs. Wt rps my tr rt or unrt. T wt o n s otn rrr to s t "ost" o t. In ppltons, t wt my msur o t lnt o rout, t pty o ln, t nry rqur
More informationDivided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano
RIGHT-ANGLE WEAVE Dv mons Mm t look o ts n rlt tt s ptvly p sn y Py Brnkmn Mttlno Dv your mons nto trnls o two or our olors. FCT-SCON0216_BNB66 2012 Klm Pulsn Co. Ts mtrl my not rprou n ny orm wtout prmsson
More informationThe University of Sydney MATH 2009
T Unvrsty o Syny MATH 2009 APH THEOY Tutorl 7 Solutons 2004 1. Lt t sonnt plnr rp sown. Drw ts ul, n t ul o t ul ( ). Sow tt s sonnt plnr rp, tn s onnt. Du tt ( ) s not somorp to. ( ) A onnt rp s on n
More informationLOWELL WEEKLY JOURN A I.
Y UR G U U V Y U Uq V U U -R $ q - U U Y 9 U - G Y G $ \ U G Q x X U R G - < UU V V - V - - - X - V - { - - - U X -- V URU - 48 UV- \- R & - R - U 8 ])? U - x V - ) U R x - [ - U XU R UR UUY U V \ RX -
More informationThree Phase Asymmetrical Load Flow for Four-Wire Distribution Networks
T Aytl Lo Flow o Fou-W Dtuto Ntwo M. Mo *, A. M. Dy. M. A Dtt o Eltl E, A Uvty o Toloy Hz Av., T 59, I * El: o8@yoo.o Att-- Mjoty o tuto two ul u to ul lo, yty to l two l ut. T tt o tuto yt ult y o ovt
More informationDistributed Set Reachability
Dstt St Rty S Gj Mt T Mx-P Isttt Its, Usty U Gy SIGMOD 2016, S Fs, USA Dstt St Rty Dstt St Rty (DSR) s zt ty xt t sts stt stt Dstt St Rty 2 Dstt St Rty Dstt St Rty (DSR) s zt ty xt t sts stt stt Dstt St
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More informationG-001 SACO SACO BAY BIDDEFORD INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1" = 1000' CANADA MAINE STATE PLANE GEOGRAPHIC NO.
2 3 6 7 8 9 0 2 3 20000 230000 220000 ST TORY M 8-OOT W ST 2880000 2880000 L ROOK RL OTS: UKI OR TUR RKWTR (TYP) U O ROOK. SOUIS R I T TTS. T RR PL IS M LOWR LOW WTR (MLLW) IS S O T 983-200 TIL PO. SOUIS
More informationExhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No
xhibit 2-9/3/15 Invie Filing Pge 1841 f Pge 366 Dket. 44498 F u v 7? u ' 1 L ffi s xs L. s 91 S'.e q ; t w W yn S. s t = p '1 F? 5! 4 ` p V -', {} f6 3 j v > ; gl. li -. " F LL tfi = g us J 3 y 4 @" V)
More information3WN6 Circuit-Breakers
i WN Ciruit-Brrs WN iruit-rrs fix-out, usw- u -po Bstt Horizot otio 0 70 S- S- 7 7 0 0 0 S-7 S-, 70 f Fixi os for outi rt S- 0 $ Sp for rov of r r % Cr for uxiiry pu & r vti sp ( uxiiry pu ) Cui oor *
More informationKummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution
ttol Jol of Ss: Bs Al Rsh JSBAR SSN 37-453 Pt & Ol htt://gss.og/.h?joljolofbsaal ---------------------------------------------------------------------------------------------------------------------------
More information. L( )WE WEEKLY JOURNAL.
) Y R G V V VV ) V R R F RP : x 2 F VV V Ṅ : V \ \ : P R : G V Y F P 35 RP 8 G V : % \ V X Q V < \ V P R V \ V< R VRG : Y ) P [ < _ & V V 6 :: V } V x V V & x 2 ) 3 RR & 8 \ R < Y q GR : XR < R V R % 7
More information13 Congruent Circles in a Circle
B - g zu Agb u G bu B Agb Gy g z u Agb u G Vu B ä bu g zu Agb u Agb G N hyh Gy bu D kg Agb Gy Vu gu Vu N N - F F Fhvz u IV h D kg H hyh Sz D Hugy kg gu Ab kg gu kw qu gu I h F F x gu hw gu Fhvz u Kvz qugh
More informationR e p u b lic o f th e P h ilip p in e s. R e g io n V II, C e n tra l V isa y a s. C ity o f T a g b ila ran
R e p u b l f th e P h lp p e D e p rt e t f E d u t R e V, e tr l V y D V N F B H L ty f T b l r Ju ly, D V N M E M R A N D U M N. 0,. L T F E N R H G H H L F F E R N G F R 6 M P L E M E N T A T N T :,
More informationCHELOURANYAN CALENDAR FOR YEAR 3335 YEAR OF SAI RHAVË
CHELOURANYAN CALENDAR FOR YEAR YEAR OF SAI RHAVË I tou woust n unon wt our Motr, now tt tou st nvr t Hr. I tou woust sp t v o mttr, now tt tr s no mttr n no v. ~Cry Mry KEY TO CALENDAR T Dys o t W In t
More informationTHE COAST ADVERTISER
K O :5G G O V OFF»* xf Y 5 8 FOK OU O Q K F O G 0 O JY 6 959 U G G O F U OV F K G G 7 G K J J q x G J G J G V O O ; V V ; G ; ; O K G J ; ; G G V 0 " q j V V G x q 27 8:30 j ; ; G J ; : J z G Y : $20000
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 informationSTATE AND LOCAL GOVERNMENT INFORMATION (EEO4)
QU POYT OPPTUTY OSSO STT O OVRT TO (O4) XU SOO SYSTS UTO STTUTOS (Read attached instructions prior to completing this form) O OT TR TO PRT TS OX OTRO UR : 49301680 Survey Year : 17 PPROV Y O 30460008 XPRS
More informationAnalytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function
I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo
More informationG-001 CHATHAM HARBOR AUNT LYDIA'S COVE CHATHAM ATLANTIC OCEAN INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1" = 500' CANADA
TR ISL ROR UST 8 O. R-2,4-3 R-4 IX O VITIO IS STT PL ORPI OORITS POSITIO 27698 4-39'-" 88 69-6'-4."W 278248 4-4'-" 8968 69-6'-4"W 27973 4-4'-2" 88 69-6'-"W W MPSIR OOR UUST PORTL MI OR 27 8-OOT OR L -
More informationk m The reason that his is very useful can be seen by examining the Taylor series expansion of some potential V(x) about a minimum point:
roic Oscilltor Pottil W r ow goig to stuy solutios to t TIS for vry usful ottil tt of t roic oscilltor. I clssicl cics tis is quivlt to t block srig robl or tt of t ulu (for sll oscilltios bot of wic r
More informationWATER MOTOR GONG A/S RETARD CHAMBER WITH FLOW SWITCH CHECK VALVE WITH BALL DRIP F.D. SIAMESE CONNECTION-VERIFY LOCATION WITH CIVIL 2" MAIN DRAIN
R OTS 0. T SRIR OTRTOR S ROVI OT YRUI UTIOS, I SIZI, I TRI WIT Y-OUT W'S & OSTRUTIO Y-OUT W'S. 0. SRIR S SRVI, TRI, TO, SWITR & VTOR I ROOS S ROVI Y SUT-O VVS W/ TR SWITS. 0. T IR ROTTIO SYST SI, ISTTIO
More information5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees
/1/018 W usully no strns y ssnn -lnt os to ll rtrs n t lpt (or mpl, 8-t on n ASCII). Howvr, rnt rtrs our wt rnt rquns, w n sv mmory n ru trnsmttl tm y usn vrl-lnt non. T s to ssn sortr os to rtrs tt our
More informationChapter 1 Fundamentals in Elasticity
Fs s ν . Po Dfo ν Ps s - Do o - M os - o oos : o o w Uows o: - ss - - Ds W ows s o qos o so s os. w ows o fo s o oos s os of o os. W w o s s ss: - ss - - Ds - Ross o ows s s q s-s os s-sss os .. Do o ..
More informationCAVALIER SPA & SALON UPFIT
7 9 0 7 V S & SO U 0 OY O, V, V U YS SSOS, S. V., SU 0 S V, O 77--7 : 77-- S 0// O OW O V OS. U o. 00 Sheet ist Sheet umber Sheet ame S WS O US, O, O OU, WO O O W SO V WOU SSO O U YS SSOS VY - S OO - S
More informationSTRATA PLAN OF LOT ONE, DISTRICT LOT 24505, SIMILKAMEEN DIVISION, YALE DISTRICT, PLAN EPP4206. OSOYOOS LAKE BLOCK REM. PARK D.L.
TRT OF OT O, TRT OT 4, MKM VO, Y TRT, 46 83 TOW OF OOYOO 1 1 4 by 6mm in height size when plotte t sle of 1: V R: & 7 RK ooyoo, OOYOO K TO M OF VOMT WTRM RK RORT R T TR RM OK 76 i : R M R MR V J MH MW
More informationRAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels
AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv
More informationAvailable online Journal of Scientific and Engineering Research, 2016, 3(6): Research Article
Av www.. Ju St E R, 2016, 3(6):131-138 R At ISSN: 2394-2630 CODEN(USA): JSERBR Cutvt R Au Su H Lv I y t Mt Btt M Zu H Ut, Su, W Hy Dtt Ay Futy Autu, Uvt Tw, J. Tw N. 9 P, 25136,Wt Sut, I, E-: 65@y. Att
More informationImproving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e)
POW CSE 36: Dt Struturs Top #10 T Dynm (Equvln) Duo: Unon-y-Sz & Pt Comprsson Wk!! Luk MDowll Summr Qurtr 003 M! ZING Wt s Goo Mz? Mz Construton lortm Gvn: ollton o rooms V Conntons twn t rooms (ntlly
More informationWinsome Winsome W Wins e ins e WUin ser some s Guide
Winsome Winsome Wins e Wins e U ser s Guide Winsome font faq HOW TO INSTALL YOUR FONT You will receive your files as a zipped folder. For instructions on how to unzip your folder, visit LauraWorthingtonType.com/faqs/.
More informationl [ L&U DOK. SENTER Denne rapport tilhører Returneres etter bruk Dokument: Arkiv: Arkivstykke/Ref: ARKAS OO.S Merknad: CP0205V Plassering:
I Denne rapport thører L&U DOK. SENTER Returneres etter bruk UTLÅN FRA FJERNARKIVET. UTLÅN ID: 02-0752 MASKINVN 4, FORUS - ADRESSE ST-MA LANETAKER ER ANSVARLIG FOR RETUR AV DETTE DOKUMENTET. VENNLIGST
More informationCONSTRUCTION DOCUMENTS
//0 :: 0 0 OV Y T TY O YTO: TY O YTO W # : U.. O OVTO 00 WT V V, OO OTUTO OUT U 0, 0 UTO U U \\d\ayton rojects\ayton nternational irport\.00 Y ustoms acility\\rchitecture\ rocessing enovation_entral.rvt
More informationProblem 1. Solution: = show that for a constant number of particles: c and V. a) Using the definitions of P
rol. Using t dfinitions of nd nd t first lw of trodynis nd t driv t gnrl rltion: wr nd r t sifi t itis t onstnt rssur nd volu rstivly nd nd r t intrnl nrgy nd volu of ol. first lw rlts d dq d t onstnt
More informationlearning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms
rp loritms lrnin ojtivs loritms your sotwr systm sotwr rwr lrn wt rps r in mtmtil trms lrn ow to rprsnt rps in omputrs lrn out typil rp loritms wy rps? intuitivly, rp is orm y vrtis n s twn vrtis rps r
More informationChapter 1 Fundamentals in Elasticity
Fs s ν . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos
More informationRectangular Waveguides
Rtgulr Wvguids Wvguids tt://www.tllguid.o/wvguidlirit.tl Uss To rdu ttutio loss ig rquis ig owr C ort ol ov rti rquis Ats s ig-ss iltr Norll irulr or rtgulr W will ssu losslss rtgulr tt://www..surr..u/prsol/d.jris/wguid.tl
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 informationWedge clamp, double-acting for dies with tapered clamping edge
Wg c, ou-ctg or th tr cg g Acto: cg o th tr cg g or cg o o r or cg o jcto oug ch A B Hr g cg rt Buhg Dg: Dou-ctg g c or cg o r or or or cg jcto oug ch. Th g c cot o hyruc oc cyr to gu houg. Th cg ot ro
More informationLWC 434 East First Street 4440 Garwood Place
//0 :: UI IXTUS TO US IIT TOS O T IST UTU I TOY IST OW - ITIO UTUS IST I TSIS. I ST (O, ZU). cui (, ZU). TOTO (OI, O). SO (ZU, Y). TUO (SO, ZU). TOTO (O US). IS (OSOIT, U). UST (ST WIIS, ZU). Y (T&S SS,
More informationI N A C O M P L E X W O R L D
IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e
More informationCREATED USING THE RSC COMMUNICATION TEMPLATE (VER. 2.1) - SEE FOR DETAILS
uortig Iormtio: Pti moiitio oirmtio vi 1 MR: j 5 FEFEFKFK 8.6.. 8.6 1 13 1 11 1 9 8 7 6 5 3 1 FEFEFKFK moii 1 13 1 11 1 9 8 7 6 5 3 1 m - - 3 3 g i o i o g m l g m l - - h k 3 h k 3 Figur 1: 1 -MR or th
More informationJ = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e
) ) Cov&o for rg h of olr&o for gog o&v r&o: - Look wv rog&g owr ou (look r&o). - F r wh o&o of fil vor. - I h CCWLHCP CWRHCP - u &l & hv oo g, h lr- fil vor r ou rgh- h orkrw for RHCP! 3) For h followg
More informationEconometric modelling and forecasting of intraday electricity prices
E y y Xv:1812.09081v1 [q-.st] 21 D 2018 M Nw Uvy Duu-E F Z Uvy Duu-E D 24, 2018 A I w w y ID 3 -P G Iy Cuu Ey M u. A uv u uy qu-uy u y. W u qu u-- vy - uy. T w u. F u v w G Iy Cuu Ey M y ID 3 -P vu. T
More informationHandout 11. Energy Bands in Graphene: Tight Binding and the Nearly Free Electron Approach
Hdout rg ds Grh: Tght dg d th Nrl Fr ltro roh I ths ltur ou wll lr: rg Th tght bdg thod (otd ) Th -bds grh FZ C 407 Srg 009 Frh R Corll Uvrst Grh d Crbo Notubs: ss Grh s two dsol sgl to lr o rbo tos rrgd
More informationCONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD
Jorl o Algbr Nbr Tory: Ac Alco Vol 5 Nbr 6 Pg 4-64 Albl ://ccc.co. DOI: ://.o.org/.864/_753 ONSTAYLI ODES OF LENGTH OVER A FINITE FIELD AITA SAHNI POONA TRAA SEHGAL r or Ac Sy c Pb Ury gr 64 I -l: 5@gl.co
More informationMadad Khan, Saima Anis and Faisal Department of Mathematics, COMSATS Institute of Information Technology, Abbottabad, Pakistan
Rsr Jorl o Ali is Eiri Tolo 68: 326-334 203 IN: 2040-7459; -IN: 2040-7467 Mwll itii Oritio 203 itt: M 04 202 At: Frr 0 203 Plis: Jl 0 203 O F- -ils o -Al-Grss's Groois M K i Ais Fisl Drtt o Mttis COMAT
More informationLife After Study Abroad
f oe oab o C P p H book F 6 F Y 6 7 P5-URF : P os S yab o C Op p o s I f o m o sb o s soff b y 6 ss b j o g P o ob yd P g o( T5 7 N os ) k Rom I y Lf Af Sy Abo INTRODUCTION Pps yo'v b ookg fow o sy bo
More informationCHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES
CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r
More informationA displayed inventory model using pentagonal fuzzy number
Itrtol Jourl of Mthmts oft omut Vol.6 No.. 6-8. IN rt : 9 8 IN Ol: 9 sly vtory mol us tol fuzzy umr K. hm M. rmlv rtmt of Mthmts Govrmt rts oll for om utoomous uuott Tmlu. hmsthvl@yhoo.o. rtmt of Mthmts
More informationGRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?
5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,
More informationCouncil Forms Bloc For Crnrus Mediation
G RY Of ; O Of 5 ; B k 7 f - L F 7 96 55 Q * x k k O F B F R R-- Bk j f K k f «* v k f F B - k f O k f J "Oz x f ff - q k R () ff kk f k k O f 5 f - f " v v ' z f k " v " v v z 95 k " Kfv k 963 ff ff f
More informationPower Spectrum Estimation of Stochastic Stationary Signals
ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:
More informationGEORGE F. JOWETT. HOLDER -of NUMEROUS DIPLOMAS and GOLD. MEDALS for ACTUAL MERIT
GEORGE F OWE ANADAS SRONGES AHLEE HOLDER of NUMEROUS DPLOMAS nd GOLD MEDALS for AUAL MER AUHOR LEURER AND REOGNZED AUHORY ON PHYSAL EDUAON NKERMAN ONARO ANADA P : 6 23 D:::r P ul lv:; j"3: t your ltr t:
More informationIn which direction do compass needles always align? Why?
AQA Trloy Unt 6.7 Mntsm n Eltromntsm - Hr 1 Complt t p ll: Mnt or s typ o or n t s stronst t t o t mnt. Tr r two typs o mnt pol: n. Wrt wt woul ppn twn t pols n o t mnt ntrtons low: Drw t mnt l lns on
More informationISLE OF WIGHT WALK, JOG OR RUN IT
ISLE OF WIGHT WALK, JOG OR RUN IT 23-24 AUGUST 2014. t f s. t stu k 6 k 6 5 0 1 23/24 Auust 2014 ISLE OF WIGHT WALK, JOG OR RUN IT My s rud t, tusds v rkd t ts fstvs, d yu Wk, J, r Ru rud t t Is f Wt C!
More informationMINI-CYLINDER ISO 6432 SERIES TP Ø mm AND ACCESSORIES
-YR O R T OR inicylinders manufactured according to the O regulation having high resistance technopolymer heads and anodized aluminium liner. vailable in various versions with a wide range of accessories:
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More information35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3
- - - - ff ff - - - - - - B B BB f f f f f f f 6 96 f f f f f f f 6 f LF LZ f 6 MM f 9 P D RR DD M6 M6 M6 M. M. M. M. M. SL. E 6 6 9 ZB Z EE RC/ RC/ RC/ RC/ RC/ ZM 6 F FP 6 K KK M. M. M. M. M M M M f f
More informationCOMP 250. Lecture 29. graph traversal. Nov. 15/16, 2017
COMP 250 Ltur 29 rp trvrsl Nov. 15/16, 2017 1 Toy Rursv rp trvrsl pt rst Non-rursv rp trvrsl pt rst rt rst 2 Hs up! Tr wr w mstks n t sls or S. 001 or toy s ltur. So you r ollown t ltur rorns n usn ts
More informationd e c b a d c b a d e c b a a c a d c c e b
FLAT PEYOTE STITCH Bin y mkin stoppr -- sw trou n pull it lon t tr until it is out 6 rom t n. Sw trou t in witout splittin t tr. You soul l to sli it up n own t tr ut it will sty in pl wn lt lon. Evn-Count
More informationLOWELL WEEKLY JOURNAL
W WY R G «( 5 R 5 Y q YG R ««W G WY Y 7 W \(\ 5 R ( W R R W ) W «W W W W< W ) W 53 R R Y 4 RR \ \ ( q ) W W X R R RY \ 73 «\ 2 «W R RG ( «q ) )[ 5 7 G ««R q ] 6 ) X 5 5 x / ( 2 3 4 W «(«\Y W Q RY G G )
More informationBeechwood Music Department Staff
Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d
More informationVIRGINIA PORT AUTHORITY
5 K Y PV Y F RW R R (UR RU) R - VR,, VY P - RV - R 4 - P 5 - P 6-4 R PY P 7-5 YP PV. R V W. P 7/ P V W. V PRJ RR V PRJ W. FU 9 - FU P - FU R K R X PY RFR UR RV R RW PRJ PF RWR P -, R RV - R P -4 R P 4-5
More informationCBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find
BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,
More informationChapter 1 Fundamentals in Elasticity
Fs s . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o B o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos
More informationKey: Town of Eastham - Fiscal Year :52 am
//7 SQ #:, RR WR PR SS SS SRP R Key: own of astham - Fiscal Year 8 : am S WY c/o SM RWR S WY SM, M 6 8-8- S WY M-S M of 7 RSFR SRY S WY SR W V & JY /SF/ bhd F F J S SF F P V R M J V S 97,, -.8,7,6 S 6/8/
More information