Land concolidation planning
|
|
- Jemimah Fleming
- 5 years ago
- Views:
Transcription
1 Lad cocolidatio plaig Eglish vrsio SOSI stadard 4.0 Lad cocolidatio plaig Draft rwgia Mappig Authority rwgia Mappig Authority Ju 009 Pag of 4
2 Lad cocolidatio plaig Eglish vrsio SOSI stadard 4.0 Tabl of cotts. Applicatio schma...3. Dscriptio PboudaryAftrR PboudaryBforR PparclAftrR PparclBforR LadRatioAra RatioZoBoudary ValFigurAftrR ValFigurBforR ValuatioBoudary Associatio LadRatioAra -PparclBforR Associatio LadRatioAra -PparclAftrR Associatio PparclBforR -ValFigurBforR Associatio PparclAftrR-ValFigurAftrR Associatio <<Topo>> LadRatioAra -RatioZoBoudary Associatio ValFigurBforR -ValFigurAftrR Associatio <<Topo>> ValFigurBforR -ValuatioBoudary Associatio <<Topo>> ValFigurAftrR -ValuatioBoudary Associatio <<Topo>> PparclBforR -PboudaryBforR Associatio <<Topo>> PparclAftrR-PboudaryAftrR CodLists <<CodList>> LadRatioAra... 3 rwgia Mappig Authority Ju 009 Pag of 4
3 Lad cocolidatio plaig Eglish vrsio SOSI stadard 4.0. Applicatio schma PboudaryBforR + bordr : CurvWithQuality 0..* +boudarypboudarybforr <<Topo>> PparclBforR + xtt [0..] : SurfacWithQuality + positio [0..] : PoitWithQuality + parclbforratioid : Itgr +pparclbfor +valuaftr..* ValFigurBforR..* + xtt [0..] : SurfacWithQuality + positio [0..] : PoitWithQuality + parclbforratioid : Itgr + figurbforratioid : Itgr +??ladvalu / baslivalu : Ral + valulad [0..] : Ral + valuforstproductio [0..] : Ral + valugrazigrights [0..] : Ral + valuhutigrights [0..] : Ral + valuothrutilizatiolad [0..] : Ral + ladratioara [0..] : LadRatioAra LadRatioAra + xtt [0..] : SurfacWithQuality + positio [0..] : PoitWithQuality + ladcosolidatioauthoritycasnumbr [0..] : CharactrStrig +pparclbfor <<Topo>> +boudaryratiozo 0..* RatioZoBoudary + bordr : CurvWithQuality ValuatioBoudary + bordr : CurvWithQuality 0..* +boudaryvaluatio <<Topo>> +figurbfor +pparclaftr 0..* +boudaryvaluatio <<Topo>> +figuraftr..* PboudaryAftrR + bordr : CurvWithQuality 0..* +boudarypboudaryaftrr..* <<Topo>> PparclAftrR + xtt [0..] : SurfacWithQuality + positio [0..] : PoitWithQuality + parclbforratioid : Itgr +pparclaftr +valuaftr..* <<CodList>> LadRatioAra + Uclassifid/ukow ara coditio = + Lak/Watr + Road = 3 + Mars h + Marsh with coifrous forst + Marsh with mixd forst + Marsh with dciduous forst + Combiatio marsh/firm groud + Shallow marshlad + Fully cultivatd lad + Suprficially cultivatd lad + Hom filds grazig lad + Coifrous forst + Mixd forst = 5 + Dciduous forst + Othr soil-covrd firm groud + Shallow groud (soil) + Exposd bdrock = 9 + Bouldr-covrd groud + Gravl pit ValFigurAftrR + xtt [0..] : SurfacWithQuality + positio [0..] : PoitWithQuality + parclaftrratioid : Itgr + parclbforratioid : Itgr + figurbforratioid : Itgr +??ladvalu / baslivalu : Ral + valulad [0..] : Ral + valuforstproductio [0..] : Ral + valugrazigrights [0..] : Ral + valuhutigrights [0..] : Ral + valuothrutilizatiolad [0..] : Ral + ladratioara [0..] : LadRatioAra rwgia Mappig Authority Ju 009 Pag 3 of 4
4 Lad cocolidatio plaig Eglish vrsio SOSI stadard 4.0. Dscriptio.. PboudaryAftrR Nam/ am Class PboudaryAftrR Dscriptio proprty boudary aftr ratio. bordr cours followig th trasitio btw diffrt ral world phoma. (uamd) PparclAftrRall oc.. PboudaryBforR Nam/ am Class PboudaryBfor R Dscriptio proprty boudary bfor ratio. bordr cours followig th trasitio btw diffrt ral world phoma. (uamd) PparclBforR..3 PparclAftrR Nam/ am Dscriptio 3 Class PparclAftrRall oc proprty parcl i a lad ratio ara aftr ratio 3. xtt ara ovr which a objct xtds 3. positio locatio whr th objct 3.3 parclbforral locatioid xists uiqu umbr (itgr, oft coscutivly from ) which ach idividual proprty parcl is giv bfor ratio ad which fuctios as parcl idtificatio. This will b a Occurrc Typ CurvWithQual ity PparclAftrR Occurrc Typ CurvWithQual ity PparclBfor R Occurrc Typ 0 SurfacWithQu ality 0 PoitWithQuali ty Itgr rwgia Mappig Authority Ju 009 Pag 4 of 4
5 Lad cocolidatio plaig Eglish vrsio SOSI stadard (uamd) LadRatio Ara 3.5 valuaftr 3.6 boudarypbouda ryaftrr poitr/idtifir (YzzYforig kyyzzy) btw th parcl ad a sparat xtral tabl cotaiig all proprty iformatio <trucatd>..4 PparclBforR Nam/ am Dscriptio LadRati oara N ValFigurAftr R 0 N PboudaryAft rr Occurrc Typ 4 Class PparclBforR proprty parcl i a lad ratio ara bfor ratio 4. xtt objktts utstrkig 0 SurfacWithQu 4. positio locatio whr th objct xists 4.3 parclbforral locatioid 4.4 (uamd) LadRatio Ara 4.5 valuaftr 4.6 boudarypboud arybforr uikt ummr (hltall, oft, fortløpd fra ) som hvr klt idomstig gis før skift og som fugrr som tigidtifikasjo. D vil vær pkr/kobligsøkkl mllom tig og g kstr tabll som iholdr all idomsiformasjo for tig (kommuummr, gruidtifikasjo, partidt og iradlr (prost) vd for ksmpl kløyvd idomsrtt). ality 0 PoitWithQuali ty Itgr LadRati oara N ValFigurBfor R 0 N PboudaryBf orr Aggrgrati o Aggrgrati o rwgia Mappig Authority Ju 009 Pag 5 of 4
6 Lad cocolidatio plaig Eglish vrsio SOSI stadard LadRatioAra Nam/ am Dscriptio 5 Class LadRatio Ara dlimitd gographical ara which is icludd i a lad ratio cas 5. xtt ara ovr which a objct xtds 5. positio locatio whr th objct 5.3 ladcosolidatio AuthorityCasN umbr 5.4 pparclbfor 5.5 pparclaftr 5.6 boudaryr atiozo xists Eksmpl: 5/ D rfras iholdr t saksummr (5), årstall (003) og t ummr som idtifisrr d aktull jordskiftrtt (6.00)..6 RatioZoBoudary Nam/ am 6 Class RatioZo Boudary Dscriptio dlimitatio of th ratio ara 6. bordr cours followig th trasitio btw diffrt ral world phoma 6. (uamd) LadRatio Ara..7 ValFigurAftrR Nam/ am Dscriptio 7 Class ValFigurAftrR valuatio figur i a lad ratio ara aftr ratio 7. xtt ara ovr which a objct xtds 7. positio locatio whr th objct xists Occurrc Typ 0 SurfacWithQu ality 0 PoitWithQuali ty 0 CharactrStri g N PparclBfor R N PparclAftrR 0 N RatioZo Boudary Occurrc Typ CurvWithQual ity LadRati oara Occurrc Typ 0 SurfacWithQu ality 0 PoitWithQuali ty Aggrgrati o rwgia Mappig Authority Ju 009 Pag 6 of 4
7 Lad cocolidatio plaig Eglish vrsio SOSI stadard parclaftrrallo catioid 7.4 parclbforral locatioid 7.5 figurbforrall ocatioid 7.6??ladValu/bas livalu uiqu umbr (itgr, oft coscutivly from ) which ach idividual proprty parcl is giv bfor ratio ad which fuctios as parcl idtificatio. This will b a poitr/idtifir (YzzYforig kyyzzy) btw th parcl ad a sparat xtral tabl cotaiig all proprty iformatio <trucatd> umbr (itgr, oft coscutivly from ) for idtificatio of ach idividual valu-sttig figur bfor ratio. Th combiatio of parclbforratioi d ad figurbforratioid shall always b uiqu t: Trasfrrd i ovrlay calculatio from th objct typ: ValFigur ovrall valu of th lad i NOK (ral or rlativ) pr dcar (0 dcars = hctar)for valuatio rgardlss of spcific form of utilizatio t: Trasfrrd i ovrlay calculatio from th objct typ: ValFigBforRatio. 7.7 valulad spcific valu of th lad i NOK (ral/rlativ) or prct (of basli valu) pr dcar (0 dcars = hctar) t: Trasfrrd i ovrlay calculatio from th objct typ: ValFigBforRatio. 7.8 valuforstprod uctio spcific valu of forst productio i NOK (ral/rlativ) or prct (of basli valu) pr dcar (0 dcars = hctar) t: Trasfrrd i ovrlay calculatio from th objct Itgr Itgr Itgr Ral 0 Ral 0 Ral rwgia Mappig Authority Ju 009 Pag 7 of 4
8 Lad cocolidatio plaig Eglish vrsio SOSI stadard valugrazigrig hts valuhutigrig hts valuothrutiliza tiolad ladratio Ara pparclaftr figurbfor boudaryvaluatio typ: ValFigBforRatio. spcific valu of grazig rights i NOK (ral/rlativ) or prct (of basli valu) pr dcar (0 dcars = hctar) t: Trasfrrd i ovrlay calculatio from th objct typ: ValFigBforRatio. spcific valu of grazig rights i NOK (ral/rlativ) or prct (of basli valu) pr dcar (0 dcars = hctar) t: Trasfrrd i ovrlay calculatio from th objct typ: ValFigBforRatio. spcific valu of aothr form of utilizatio i NOK (ral/rlativ) or prct (of basli valu) pr dcar (0 dcars = hctar) t: Trasfrrd i ovrlay calculatio from th objct typ: ValFigBforRatio...8 ValFigurBforR Nam/ am Dscriptio 8 Class ValFigurBfor R dlimitd ara with uiform valu ad owrship structur 8. xtt ara ovr which a objct xtds 8. positio locatio whr th objct xists 0 Ral 0 Ral 0 Ral 0 LadRati oaracoditi o PparclAftrR ValFigurBfor R 0 N ValuatioBou dary Occurrc Typ 0 SurfacWithQu ality 0 PoitWithQuali ty 8.3 parclbforral Itgr Aggrgrati o rwgia Mappig Authority Ju 009 Pag 8 of 4
9 Lad cocolidatio plaig Eglish vrsio SOSI stadard 4.0 locatioid 8.4 figurbforrall Itgr ocatioid 8.5??ladValu/bas Ral livalu 8.6 valulad 0 Ral 8.7 valuforstprod 0 Ral uctio 8.8 valugrazigrig 0 Ral hts 8.9 valuhutigrig 0 Ral hts 8. valuothrutiliza 0 Ral tiolad ladratio Ara pparclbfor figuraftr boudaryvaluatio..9 ValuatioBoudary Nam/ am 9 Class ValuatioBouda ry Dscriptio dlimitatio of a valuatio figur 9. bordr cours followig th trasitio btw diffrt ral world phoma 9. (uamd) ValFigurBfor R 9.3 (uamd) ValFigurAftrR 0 LadRati oaracoditi o PparclBfor R N ValFigurAftr R 0 N ValuatioBou dary Occurrc Typ CurvWithQual ity ValFigurBfor R ValFigurAftr R..0 Associatio LadRatioAra -PparclBforR Nam/ am 0 Associatio LadRatio Ara - PparclBforR Dscriptio Occurrc Typ Aggrgrati o rwgia Mappig Authority Ju 009 Pag 9 of 4
10 Lad cocolidatio plaig Eglish vrsio SOSI stadard pparclbfor (uamd) LadRatio Ara N PparclBfor R LadRati oara.. Associatio LadRatioAra -PparclAftrR Nam/ am Associatio LadRatio Ara - PparclAftrRall oc.. pparclaftr (uamd) LadRatio Ara Dscriptio Occurrc Typ N PparclAftrR LadRati oara.. Associatio PparclBforR -ValFigurBforR Nam/ am Associatio PparclBforR - ValFigurBfor R.. valuaftr pparclbfor Dscriptio Occurrc Typ N ValFigurBfor R PparclBfor R..3 Associatio PparclAftrR-ValFigurAftrR Nam/ am 3 Associatio PparclAftrRall oc- ValFigurAftrR valuaftr pparclaftr Dscriptio Occurrc..4 Associatio <<Topo>> LadRatioAra - RatioZoBoudary Typ N ValFigurAftr R PparclAftrR Nam/ Dscriptio Typ rwgia Mappig Authority Ju 009 Pag 0 of 4
11 Lad cocolidatio plaig Eglish vrsio SOSI stadard 4.0 am Occurrc 4 Associatio LadRatio Ara - RatioZo Boudary boudaryr atiozo (uamd) LadRatio Ara 0 N RatioZo Boudary LadRati oara..5 Associatio ValFigurBforR -ValFigurAftrR Nam/ am 5 Associatio ValFigurBfor R - ValFigurAftrR figuraftr figurbfor Dscriptio Occurrc..6 Associatio <<Topo>> ValFigurBforR - ValuatioBoudary Nam/ am 6 Associatio ValFigurBfor R - ValuatioBouda ry boudaryvaluatio (uamd) ValFigurBfor R Dscriptio Typ N ValFigurAftr R ValFigurBfor R Occurrc Typ 0 N ValuatioBou dary ValFigurBfor R..7 Associatio <<Topo>> ValFigurAftrR -ValuatioBoudary Nam/ am 7 Associatio ValFigurAftrR - Dscriptio Occurrc Typ Aggrgatio Aggrgatio rwgia Mappig Authority Ju 009 Pag of 4
12 Lad cocolidatio plaig Eglish vrsio SOSI stadard ValuatioBouda ry boudaryvaluatio (uamd) ValFigurAftrR..8 Associatio <<Topo>> PparclBforR - PboudaryBforR Nam/ am 8 Associatio PparclBforR - PboudaryBfor R boudarypboud arybforr (uamd) PparclBforR Dscriptio 0 N ValuatioBou dary ValFigurAftr R..9 Associatio <<Topo>> PparclAftrR- PboudaryAftrR Nam/ am 9 Associatio PparclAftrRall oc- PboudaryAftrR boudarypbouda ryaftrr (uamd) PparclAftrRall oc Dscriptio Occurrc Typ 0 N PboudaryBf orr PparclBfor R Occurrc Typ 0 N PboudaryAft rr PparclAftrR Aggrgatio Aggrgatio Aggrgatio rwgia Mappig Authority Ju 009 Pag of 4
13 Lad cocolidatio plaig Eglish vrsio SOSI stadard CodLists..0. <<CodList>> LadRatioAra Nr Cod am Dfiitio/Dscriptio Cod CodList LadRatioAra atural typs of trrai (for xampl, forst ad marsh) ad various typs of cultivatd trrai: cultivatd ara (for xampl, cultivatd soil ad hom filds grazig lad). Ara coditio is a importat critrio for??divisio/partitioig of th valuatio figur ad its valuatio. Uclassifid/ukow ara coditio. Lak/Watr.3 Road 3.4 Marsh.5 Marsh with coifrous forst.6 Marsh with mixd forst.7 Marsh with dciduous forst.8 Combiatio marsh/firm groud.9 Shallow marshlad.0 Fully cultivatd lad. Suprficially cultivatd lad. Hom filds grazig lad.3 Coifrous forst.4 Mixd forst 5.5 Dciduous forst.6 Othr soil-covrd firm groud.7 Shallow groud (soil).8 Exposd bdrock 9.9 Bouldr-covrd groud Gravl pit rwgia Mappig Authority Ju 009 Pag 3 of 4
14 Lad cocolidatio plaig Eglish vrsio SOSI stadard 4.0 rwgia Mappig Authority Ju 009 Pag 4 of 4
Reindeer management English version SOSI standard 4.0. Reindeer management. Norwegian Mapping Authority
Ridr maagmt Eglish vrsi SOSI stadard 4.0 Ridr maagmt rwgia Mappig Authority grd.mardal@statkart.o rwgia Mappig Authority Ju 009 Pag of 5 Ridr maagmt Eglish vrsi SOSI stadard 4.0 Tabl of ctts. Applicati
More information1985 AP Calculus BC: Section I
985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b
More informationPURE MATHEMATICS A-LEVEL PAPER 1
-AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio
More informationLaw of large numbers
Law of larg umbrs Saya Mukhrj W rvisit th law of larg umbrs ad study i som dtail two typs of law of larg umbrs ( 0 = lim S ) p ε ε > 0, Wak law of larrg umbrs [ ] S = ω : lim = p, Strog law of larg umbrs
More informationAPPENDIX: STATISTICAL TOOLS
I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.
More informationSession : Plasmas in Equilibrium
Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog
More informationDiscrete Fourier Transform (DFT)
Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial
More informationThe Matrix Exponential
Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!
More informationThe Matrix Exponential
Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!
More informationOn a problem of J. de Graaf connected with algebras of unbounded operators de Bruijn, N.G.
O a problm of J. d Graaf coctd with algbras of uboudd oprators d Bruij, N.G. Publishd: 01/01/1984 Documt Vrsio Publishr s PDF, also kow as Vrsio of Rcord (icluds fial pag, issu ad volum umbrs) Plas chck
More informationFigure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor
.8 NOISE.8. Th Nyquist Nois Thorm W ow wat to tur our atttio to ois. W will start with th basic dfiitio of ois as usd i radar thory ad th discuss ois figur. Th typ of ois of itrst i radar thory is trmd
More informationMixed Mode Oscillations as a Mechanism for Pseudo-Plateau Bursting
Mixd Mod Oscillatios as a Mchaism for Psudo-Platau Burstig Richard Brtram Dpartmt of Mathmatics Florida Stat Uivrsity Tallahass, FL Collaborators ad Support Thodor Vo Marti Wchslbrgr Joël Tabak Uivrsity
More informationBlackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted?
All bodis at a tmpratur T mit ad absorb thrmal lctromagtic radiatio Blackbody radiatio I thrmal quilibrium, th powr mittd quals th powr absorbd How is blackbody radiatio absorbd ad mittd? 1 2 A blackbody
More informationChapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series
Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris
More informationSolution to 1223 The Evil Warden.
Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud
More informationChapter (8) Estimation and Confedence Intervals Examples
Chaptr (8) Estimatio ad Cofdc Itrvals Exampls Typs of stimatio: i. Poit stimatio: Exampl (1): Cosidr th sampl obsrvatios, 17,3,5,1,18,6,16,10 8 X i i1 17 3 5 118 6 16 10 116 X 14.5 8 8 8 14.5 is a poit
More informationIntroduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10.
Itroductio to Quatum Iformatio Procssig Lctur Michl Mosca Ovrviw! Classical Radomizd vs. Quatum Computig! Dutsch-Jozsa ad Brsti- Vazirai algorithms! Th quatum Fourir trasform ad phas stimatio A classical
More informationDTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1
DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT
More informationECE594I Notes set 6: Thermal Noise
C594I ots, M. odwll, copyrightd C594I Nots st 6: Thrmal Nois Mark odwll Uivrsity of Califoria, ata Barbara rodwll@c.ucsb.du 805-893-344, 805-893-36 fax frcs ad Citatios: C594I ots, M. odwll, copyrightd
More informationBipolar Junction Transistors
ipolar Juctio Trasistors ipolar juctio trasistors (JT) ar activ 3-trmial dvics with aras of applicatios: amplifirs, switch tc. high-powr circuits high-spd logic circuits for high-spd computrs. JT structur:
More informationa 1and x is any real number.
Calcls Nots Eponnts an Logarithms Eponntial Fnction: Has th form y a, whr a 0, a an is any ral nmbr. Graph y, Graph y ln y y Th Natral Bas (Elr s nmbr): An irrational nmbr, symboliz by th lttr, appars
More informationClass #24 Monday, April 16, φ φ φ
lass #4 Moday, April 6, 08 haptr 3: Partial Diffrtial Equatios (PDE s First of all, this sctio is vry, vry difficult. But it s also supr cool. PDE s thr is mor tha o idpdt variabl. Exampl: φ φ φ φ = 0
More informationOn the approximation of the constant of Napier
Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of
More informationNEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES
Digst Joural of Naomatrials ad Biostructurs Vol 4, No, March 009, p 67-76 NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES A IRANMANESH a*, O KHORMALI b, I NAJAFI KHALILSARAEE c, B SOLEIMANI
More informationPage 1 BACI. Before-After-Control-Impact Power Analysis For Several Related Populations (Variance Known) October 10, Richard A.
Pag BACI Bfor-Aftr-Cotrol-Impact Powr Aalysis For Svral Rlatd Populatios (Variac Kow) Octobr, 3 Richard A. Hirichs Cavat: This study dsig tool is for a idalizd powr aalysis built upo svral simplifyig assumptios
More informationRestricted Factorial And A Remark On The Reduced Residue Classes
Applid Mathmatics E-Nots, 162016, 244-250 c ISSN 1607-2510 Availabl fr at mirror sits of http://www.math.thu.du.tw/ am/ Rstrictd Factorial Ad A Rmark O Th Rducd Rsidu Classs Mhdi Hassai Rcivd 26 March
More informationUNIT 2: MATHEMATICAL ENVIRONMENT
UNIT : MATHEMATICAL ENVIRONMENT. Itroductio This uit itroducs som basic mathmatical cocpts ad rlats thm to th otatio usd i th cours. Wh ou hav workd through this uit ou should: apprciat that a mathmatical
More informationMONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx
MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of
More informationCDS 101: Lecture 5.1 Reachability and State Space Feedback
CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o
More information2. SIMPLE SOIL PROPETIES
2. SIMPLE SOIL PROPETIES 2.1 EIGHT-OLUME RELATIONSHIPS It i oft rquir of th gotchical gir to collct, claify a ivtigat oil ampl. B it for ig of fouatio or i calculatio of arthork volum, trmiatio of oil
More informationStatistics 3858 : Likelihood Ratio for Exponential Distribution
Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai
More informationLECTURE 13 Filling the bands. Occupancy of Available Energy Levels
LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad
More informationFusion of Retrieval Models at CLEF 2008 Ad-Hoc Persian Track
Fusio of Rtrival Modls at CLEF 008 Ad-Hoc Prsia rack Zahra Aghazad*, Nazai Dhghai* Lili Farzivash* Razih Rahimi* Abolfazl AlAhmad* Hadi Amiri Farhad Oroumchia** * Dpartmt of ECE, Uivrsity of hra {z.aghazadh,.dhghay,
More informationz 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z
Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist
More informationDiscrete Mathematics and Probability Theory Fall 2014 Anant Sahai Homework 11. This homework is due November 17, 2014, at 12:00 noon.
EECS 70 Discrt Mathmatics ad Probability Thory Fall 2014 Aat Sahai Homwork 11 This homwork is du Novmbr 17, 2014, at 12:00 oo. 1. Sctio Rollcall! I your slf-gradig for this qustio, giv yourslf a 10, ad
More informationA Simple Proof that e is Irrational
Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural
More informationDefinition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.
4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad
More informationPart B: Transform Methods. Professor E. Ambikairajah UNSW, Australia
Part B: Trasform Mthods Chaptr 3: Discrt-Tim Fourir Trasform (DTFT) 3. Discrt Tim Fourir Trasform (DTFT) 3. Proprtis of DTFT 3.3 Discrt Fourir Trasform (DFT) 3.4 Paddig with Zros ad frqucy Rsolutio 3.5
More informationBrief Introduction to Statistical Mechanics
Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.
More informationCDS 101: Lecture 5.1 Reachability and State Space Feedback
CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls
More informationmacro Road map to this lecture Objectives Aggregate Supply and the Phillips Curve Three models of aggregate supply W = ω P The sticky-wage model
Road map to this lctur macro Aggrgat Supply ad th Phillips Curv W rlax th assumptio that th aggrgat supply curv is vrtical A vrsio of th aggrgat supply i trms of iflatio (rathr tha th pric lvl is calld
More informationSOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3
SOLVED EXAMPLES E. If f() E.,,, th f() f() h h LHL RHL, so / / Lim f() quls - (D) Dos ot ist [( h)+] [(+h) + ] f(). LHL E. RHL h h h / h / h / h / h / h / h As.[C] (D) Dos ot ist LHL RHL, so giv it dos
More informationDigital Signal Processing, Fall 2006
Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti
More informationChapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1
Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida
More informationANOVA- Analyisis of Variance
ANOVA- Aalii of Variac CS 700 Comparig altrativ Comparig two altrativ u cofidc itrval Comparig mor tha two altrativ ANOVA Aali of Variac Comparig Mor Tha Two Altrativ Naïv approach Compar cofidc itrval
More informationCastiel, Supernatural, Season 6, Episode 18
13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio
More informationWorksheet: Taylor Series, Lagrange Error Bound ilearnmath.net
Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.
More informationDiscrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform
Discrt Fourir Trasform Dfiitio - T simplst rlatio btw a lt- squc x dfid for ω ad its DTFT X ( ) is ω obtaid by uiformly sampli X ( ) o t ω-axis btw ω < at ω From t dfiitio of t DTFT w tus av X X( ω ) ω
More informationInternational Journal of Advanced and Applied Sciences
Itratioal Joural of Advacd ad Applid Scics x(x) xxxx Pags: xx xx Cotts lists availabl at Scic Gat Itratioal Joural of Advacd ad Applid Scics Joural hompag: http://wwwscic gatcom/ijaashtml Symmtric Fuctios
More informationH2 Mathematics Arithmetic & Geometric Series ( )
H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic
More informationThomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple
5/24/5 A PROOF OF THE CONTINUED FRACTION EXPANSION OF / Thomas J Oslr INTRODUCTION This ar givs aothr roof for th rmarkabl siml cotiud fractio = 3 5 / Hr is ay ositiv umbr W us th otatio x= [ a; a, a2,
More informationNET/JRF, GATE, IIT JAM, JEST, TIFR
Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ
More informationAn Introduction to Asymptotic Expansions
A Itroductio to Asmptotic Expasios R. Shaar Subramaia Asmptotic xpasios ar usd i aalsis to dscrib th bhavior of a fuctio i a limitig situatio. Wh a fuctio ( x, dpds o a small paramtr, ad th solutio of
More informationChapter 10. The singular integral Introducing S(n) and J(n)
Chaptr Th singular intgral Our aim in this chaptr is to rplac th functions S (n) and J (n) by mor convnint xprssions; ths will b calld th singular sris S(n) and th singular intgral J(n). This will b don
More information(Reference: sections in Silberberg 5 th ed.)
ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists
More informationTime : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120
Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,
More informationComparison of Simple Indicator Kriging, DMPE, Full MV Approach for Categorical Random Variable Simulation
Papr 17, CCG Aual Rport 11, 29 ( 29) Compariso of Simpl Idicator rigig, DMPE, Full MV Approach for Catgorical Radom Variabl Simulatio Yupg Li ad Clayto V. Dutsch Ifrc of coditioal probabilitis at usampld
More informationLectures 9 IIR Systems: First Order System
EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work
More information2008 AP Calculus BC Multiple Choice Exam
008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl
More informationMath 508 Exam 2 Jerry L. Kazdan December 9, :00 10:20
Math 58 Eam 2 Jerry L. Kazda December 9, 24 9: :2 Directios This eam has three parts. Part A has 8 True/False questio (2 poits each so total 6 poits), Part B has 5 shorter problems (6 poits each, so 3
More informationTuLiP: A Software Toolbox for Receding Horizon Temporal Logic Planning & Computer Lab 2
TuLiP: A Softwar Toolbox for Rcding Horizon Tmporal Logic Planning & Computr Lab 2 Nok Wongpiromsarn Richard M. Murray Ufuk Topcu EECI, 21 March 2013 Outlin Ky Faturs of TuLiP Embddd control softwar synthsis
More informationPhysics 2D Lecture Slides Lecture 14: Feb 3 rd 2004
Bria Wcht, th TA is back! Pl. giv all rgrad rqusts to him Quiz 4 is This Friday Physics D Lctur Slids Lctur 14: Fb 3 rd 004 Vivk Sharma UCSD Physics Whr ar th lctros isid th atom? Early Thought: Plum puddig
More informationThus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases.
Homwork 5 M 373K Solutions Mark Lindbrg and Travis Schdlr 1. Prov that th ring Z/mZ (for m 0) is a fild if and only if m is prim. ( ) Proof by Contrapositiv: Hr, thr ar thr cass for m not prim. m 0: Whn
More informationOrdinary Differential Equations
Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid
More information2.29 Numerical Fluid Mechanics Spring 2015 Lecture 12
REVIEW Lctur 11: Numrical Fluid Mchaics Sprig 2015 Lctur 12 Fiit Diffrcs basd Polyomial approximatios Obtai polyomial (i gral u-qually spacd), th diffrtiat as dd Nwto s itrpolatig polyomial formulas Triagular
More informationUtility English version SOSI standard 4.0. Utility. Norwegian Mapping Authority June 2009 Page 1 of 50
Utili English vrsion SOSI standard 4.0 Utili rwgian Mapping Authori Jun 2009 Pag of 50 Utili English vrsion SOSI standard 4.0 rwgian Mapping Authori grd.mardal@statkart.no rwgian Mapping Authori Jun 2009
More informationPage 1. Before-After Control-Impact (BACI) Power Analysis For Several Related Populations (Variance Known) Richard A. Hinrichsen. September 24, 2010
Pag for-aftr Cotrol-Impact (ACI) Powr Aalysis For Svral Rlatd Populatios (Variac Kow) Richard A. Hirichs Sptmbr 4, Cavat: This primtal dsig tool is a idalizd powr aalysis built upo svral simplifyig assumptios
More informationECE602 Exam 1 April 5, You must show ALL of your work for full credit.
ECE62 Exam April 5, 27 Nam: Solution Scor: / This xam is closd-book. You must show ALL of your work for full crdit. Plas rad th qustions carfully. Plas chck your answrs carfully. Calculators may NOT b
More informationStochastic Heating in RF capacitive discharges
Stochatic Hating in RF capacitiv dicharg PTSG Sminar Emi Kawamura Thr ar two main mchanim for hating lctron in RF capacitiv dicharg: ohmic and tochatic hating. Plama ritivity du to lctron-nutral colliion
More informationLearning objectives. Three models of aggregate supply. 1. The sticky-wage model 2. The imperfect-information model 3. The sticky-price model
Larig objctivs thr modls of aggrgat supply i which output dpds positivly o th pric lvl i th short ru th short-ru tradoff btw iflatio ad umploymt kow as th Phillips curv Aggrgat Supply slid 1 Thr modls
More informationChapter 8: Electron Configurations and Periodicity
Elctron Spin & th Pauli Exclusion Principl Chaptr 8: Elctron Configurations and Priodicity 3 quantum numbrs (n, l, ml) dfin th nrgy, siz, shap, and spatial orintation of ach atomic orbital. To xplain how
More informationExercises for lectures 23 Discrete systems
Exrciss for lcturs 3 Discrt systms Michal Šbk Automatické říí 06 30-4-7 Stat-Spac a Iput-Output scriptios Automatické říí - Kybrtika a robotika Mols a trasfrs i CSTbx >> F=[ ; 3 4]; G=[ ;]; H=[ ]; J=0;
More informationCIVE322 BASIC HYDROLOGY Hydrologic Science and Engineering Civil and Environmental Engineering Department Fort Collins, CO (970)
CVE322 BASC HYDROLOGY Hydrologic Scic ad Egirig Civil ad Evirotal Egirig Dpartt Fort Collis, CO 80523-1372 (970 491-7621 MDERM EXAM 1 NO. 1 Moday, Octobr 3, 2016 8:00-8:50 AM Haod Auditoriu You ay ot cosult
More informationANALYSIS OF UNSTEADY HEAT CONDUCTION THROUGH SHORT FIN WITH APPLICABILITY OF QUASI THEORY
It. J. Mch. Eg. & Rob. Rs. 013 Tjpratap Sigh t al., 013 Rsarch Papr ISSN 78 0149 www.ijmrr.com Vol., No. 1, Jauary 013 013 IJMERR. All Rights Rsrvd ANALYSIS OF UNSTEADY HEAT CONDUCTION THROUGH SHORT FIN
More informationThe Growth of Functions. Theoretical Supplement
The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that
More informationIdeal crystal : Regulary ordered point masses connected via harmonic springs
Statistical thrmodyamics of crystals Mooatomic crystal Idal crystal : Rgulary ordrd poit masss coctd via harmoic sprigs Itratomic itractios Rprstd by th lattic forc-costat quivalt atom positios miima o
More information+ x. x 2x. 12. dx. 24. dx + 1)
INTEGRATION of FUNCTION of ONE VARIABLE INDEFINITE INTEGRAL Fidig th idfiit itgrals Rductio to basic itgrals, usig th rul f ( ) f ( ) d =... ( ). ( )d. d. d ( ). d. d. d 7. d 8. d 9. d. d. d. d 9. d 9.
More informationDiploma Macro Paper 2
Diploma Macro Papr 2 Montary Macroconomics Lctur 6 Aggrgat supply and putting AD and AS togthr Mark Hays 1 Exognous: M, G, T, i*, π Goods markt KX and IS (Y, C, I) Mony markt (LM) (i, Y) Labour markt (P,
More informationProperties of Fuzzy Length on Fuzzy Set
Ope Access Library Joural 206, Volume 3, e3068 ISSN Olie: 2333-972 ISSN Prit: 2333-9705 Properties of Fuzzy Legth o Fuzzy Set Jehad R Kider, Jaafar Imra Mousa Departmet of Mathematics ad Computer Applicatios,
More informationChapter 4 - The Fourier Series
M. J. Robrts - 8/8/4 Chaptr 4 - Th Fourir Sris Slctd Solutios (I this solutio maual, th symbol,, is usd for priodic covolutio bcaus th prfrrd symbol which appars i th txt is ot i th fot slctio of th word
More informationEE 232 Lightwave Devices Lecture 3: Basic Semiconductor Physics and Optical Processes. Optical Properties of Semiconductors
3 Lightwav Dvics Lctur 3: Basic Smicoductor Physics ad Optical Procsss Istructor: Mig C. Wu Uivrsity of Califoria, Brly lctrical girig ad Computr Scics Dpt. 3 Lctur 3- Optical Proprtis of Smicoductors
More informationReview Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2
MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm
More informationComputing and Communications -- Network Coding
89 90 98 00 Computing and Communications -- Ntwork Coding Dr. Zhiyong Chn Institut of Wirlss Communications Tchnology Shanghai Jiao Tong Univrsity China Lctur 5- Nov. 05 0 Classical Information Thory Sourc
More informationWhere k is either given or determined from the data and c is an arbitrary constant.
Exponntial growth and dcay applications W wish to solv an quation that has a drivativ. dy ky k > dx This quation says that th rat of chang of th function is proportional to th function. Th solution is
More informationFORBIDDING RAINBOW-COLORED STARS
FORBIDDING RAINBOW-COLORED STARS CARLOS HOPPEN, HANNO LEFMANN, KNUT ODERMANN, AND JULIANA SANCHES Abstract. W cosidr a xtrmal problm motivatd by a papr of Balogh [J. Balogh, A rmark o th umbr of dg colorigs
More informationMILLIKAN OIL DROP EXPERIMENT
11 Oct 18 Millika.1 MILLIKAN OIL DROP EXPERIMENT This xprimt is dsigd to show th quatizatio of lctric charg ad allow dtrmiatio of th lmtary charg,. As i Millika s origial xprimt, oil drops ar sprayd ito
More informationObjective Mathematics
x. Lt 'P' b a point on th curv y and tangnt x drawn at P to th curv has gratst slop in magnitud, thn point 'P' is,, (0, 0),. Th quation of common tangnt to th curvs y = 6 x x and xy = x + is : x y = 8
More informationIX. Ordinary Differential Equations
IX. Orir Diffrtil Equtios A iffrtil qutio is qutio tht iclus t lst o rivtiv of uow fuctio. Ths qutios m iclu th uow fuctio s wll s ow fuctios of th sm vribl. Th rivtiv m b of orr thr m b svrl rivtivs prst.
More informationOption 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.
Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt
More informationامتحانات الشهادة الثانوية العامة فرع: العلوم العامة
وزارة التربية والتعليم العالي المديرية العامة للتربية دائرة االمتحانات امتحانات الشهادة الثانوية العامة فرع: العلوم العامة االسم: الرقم: مسابقة في مادة الرياضيات المدة أربع ساعات عدد المسائل: ست مالحظة:
More informationHow many neutrino species?
ow may utrio scis? Two mthods for dtrmii it lium abudac i uivrs At a collidr umbr of utrio scis Exasio of th uivrs is ovrd by th Fridma quatio R R 8G tot Kc R Whr: :ubblcostat G :Gravitatioal costat 6.
More informationProbability & Statistics,
Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said
More informationMATH 681 Notes Combinatorics and Graph Theory I. ( 4) n. This will actually turn out to be marvelously simplifiable: C n = 2 ( 4) n n + 1. ) (n + 1)!
MATH 681 Nots Combiatorics ad Graph Thory I 1 Catala umbrs Prviously, w usd gratig fuctios to discovr th closd form C = ( 1/ +1) ( 4). This will actually tur out to b marvlously simplifiabl: ( ) 1/ C =
More informationASSERTION AND REASON
ASSERTION AND REASON Som qustios (Assrtio Rso typ) r giv low. Ech qustio cotis Sttmt (Assrtio) d Sttmt (Rso). Ech qustio hs choics (A), (B), (C) d (D) out of which ONLY ONE is corrct. So slct th corrct
More informationLecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields
Lctur 37 (Schrödingr Equation) Physics 6-01 Spring 018 Douglas Filds Rducd Mass OK, so th Bohr modl of th atom givs nrgy lvls: E n 1 k m n 4 But, this has on problm it was dvlopd assuming th acclration
More informationChapter 3 Fourier Series Representation of Periodic Signals
Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:
More informationCalculus & analytic geometry
Calculus & aalytic gomtry B Sc MATHEMATICS Admissio owards IV SEMESTER CORE COURSE UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CALICUT UNIVERSITYPO, MALAPPURAM, KERALA, INDIA 67 65 5 School of Distac
More informationChapter At each point (x, y) on the curve, y satisfies the condition
Chaptr 6. At ach poit (, y) o th curv, y satisfis th coditio d y 6; th li y = 5 is tagt to th curv at th poit whr =. I Erciss -6, valuat th itgral ivolvig si ad cosi.. cos si. si 5 cos 5. si cos 5. cos
More informationn n ee (for index notation practice, see if you can verify the derivation given in class)
EN24: Computatioal mthods i Structural ad Solid Mchaics Homwork 6: Noliar matrials Du Wd Oct 2, 205 School of Egirig Brow Uivrsity I this homwork you will xtd EN24FEA to solv problms for oliar matrials.
More informationThe second condition says that a node α of the tree has exactly n children if the arity of its label is n.
CS 6110 S14 Hanout 2 Proof of Conflunc 27 January 2014 In this supplmntary lctur w prov that th λ-calculus is conflunt. This is rsult is u to lonzo Church (1903 1995) an J. arkly Rossr (1907 1989) an is
More information