Population Projection of the Districts Noakhali, Feni, Lakhshmipur and Comilla, Bangladesh by Using Logistic Growth Model
|
|
- Camilla Bishop
- 6 years ago
- Views:
Transcription
1 Pure nd Appled Mthemtcs Journl 017; 6(6): do: /j.pmj ISSN: (Prnt); ISSN: (Onlne) Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model Tnjm Akhter, Jml Hossn *, Slm Jhn Deprtment of Appled Mthemtcs, Nokhl Scence nd Technology Unversty, Nokhl, Bngldesh Eml ddress: (T. Akhter), (J. Hossn), (S. Jhn) * Correspondng uthor To cte ths rtcle: Tnjm Akhter, Jml Hossn, Slm Jhn. Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model. Pure nd Appled Mthemtcs Journl. Vol. 6, No. 6, 017, pp do: /j.pmj Receved: October 8, 017; Accepted: December 4, 017; Publshed: Jnury, 018 Abstrct: Uncontrolled humn populton growth hs been posng thret to the resources nd hbtts of Bngldesh. Populton of dfferent regon of Bngldesh hs been ncresng drmtclly. As thrvng country Bngldesh should rtstclly del wth ths ssue. Ths work s ll bout to estmte the populton projecton of the dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh. By consderng logstc growth model nd mkng use of lest squre method nd MATLAB to compute populton growth rte nd crryng cpcty nd the yer when populton wll be nerly hlf of ts crryng cpcty nd shown populton projecton for the bove mentoned dstrcts nd gve comprson wth ctul populton for the sme tme perod. Also estmte future pcture of populton for these dstrcts. Keywords: Populton, Crryng Cpcty, Growth Rte, Vtl Coeffcent, Lest Squre Method 1. Introducton Populton projecton s one of the most nttve concerns to ssure rpd, effectve nd sustnble dvncement for humn. It s useful tool to demonstrte the mgntude of current problems nd lkely to estmte the future mgntude of the problem. In rpdly chngng current world, populton projecton hs become one of the most momentous problems. Populton sze nd growth n country bldly nfluence the stuton of polcy, culture, educton nd envronment etc of tht country nd cost of nturl sources. Those resources cn be exhusted becuse of populton exploson but no one cn wt tll tht. Therefore the study of populton projecton hs strted erler. The projecton of future populton gves future pcture of populton sze whch s controllble by reducng populton growth wth dfferent possble mesures. Chnges n populton sze nd composton hve mny socl, envronmentl nd poltcl mplctons, for ths reson populton projecton often serve s bss for producng other projectons (e.g. brths, household, fmles, school). Every development plns contn future estmtes of ntons need s well s for polcy formulton for sectors such s lbour force, urbnzton, grculture etc. Any ntve or centrl government s contrbuton cn be extreme n performng tsk of long term effect f they hve fesble sttstcs prtculrly wth ncontrovertble presumptve ulteror scenro of the concern demogrphy. For mxml possble pproxmton mthemtcl nd sttstcl nlyss re requred. Thus from nlyss populton projecton cn be done bsng on the prevous dt. For such pproch to get better result, mthemtcl modelng hs become brod nterdscplnry scence tht uses mthemtcl nd computtonl technques to model nd elucdte the phenomen rsng n lfe scences. Effort n ths work s to model the populton growth pttern of Nokhl, Fen, Lkhsmpur & Comll usng Logstc growth model. For the purpose of populton modelng nd forecstng n vrety of felds, ths model s wdely used [1]. In wde rnge of cses n model the growth of vrous speces, frst order dfferentl equtons re very effectve. As populton of ny speces cn never be dfferentble functon of tme, t would pprently mpossble to mmc nteger dt of populton
2 165 Tnjm Akhter et l.: Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model wth dfferentl equton of contnuous vrble. In cse of lrge populton, f t s ncresed by one, then the chnge s very smll compred to the gven populton []. Logstc model lso tells tht the populton growth rte decreses s the populton reches the sturton pont of the envronment. In ths pper, the governng enttes.e. the crryng cpcty nd the vtl coeffcents for the populton growth were determned usng the lest squre method.. Development of Logstc Growth Model The mthemtcl model of populton growth proposed by Thoms R. Mlthus n 1798 s d P t dt ( ) P ( t ) = (1) Equton (1) s frst order lner dfferentl equton; representng populton growth n ths cse hs soluton P t ( ) 0 t = Pe () Ths s known s the soluton of Mlthusn growth model. Accordng to del concepton f the populton contnues to grow wthout bound nture wll tke over n the long run. In such stuton, brth rtes tend to declne whle deth rtes tend to ncrese for the lmted food resource. As long s there re enough resources vlble, there wll be n ncrese n the number of ndvduls, or postve growth rte. As resources begn to slow down, hence model ncorportng crryng cpcty, proposed by Belgn Mthemtcn Verhulst, s more resonbly consderble thn Mlthusn lw. Logstc model llustrtes how populton my ncrese exponentlly untl t reches the crryng cpcty of ts envronment. When populton reches the crryng cpcty, growth slows down or stops ltogether. Verhulst showed tht the populton growth depends both on the populton sze nd on how fr ths sze s from ts upper lmt,.e., ts crryng cpcty [3]. Hs modfcton of Mlthus's model encompss n ddtonl bp ( t) term where nd b re clled the vtl coeffcents of the populton [4]. Thus the modfed equton s of the form. d P t dt ( ) ( ) ( ) ( ) P t bp t = (3) Equton (3) provdes the rght feedbck to lmt the populton growth s the ddtonl term wll become very smll nd tend to zero s the populton vlue grows nd gets closer to. Thus the second term reflectng the competton b for vlble resources tends to constrn the populton growth nd consequently growth rte. The Verhulst s equton (3), wdely known s the logstc lw of populton growth, s nonlner dfferentl equton. Dscrdng t, equton (3) cn be rewrtten s d P P bp = (4) dt Seprtng the vrbles n equton (4) nd ntegrtng we obtn So tht 1 1 b dp t f + P = + bp 1 ( logp log ( bp )) = t + f (5) Usng t = 0 nd P = P0, we see tht Equton (5) becomes 1 f = logp log bp ( 0 ( 0 )) 1 1 ( ) ( logp log ( bp) ) = t + logp0 log ( bp0 ) Solvng for P yelds P = b 1 b + 1 e P0 t If we tke the lmt of equton (6) s t, we get (snce 0 > ) P mx (6) = lm P = (7) t b Then the vlue of, b nd P mx were determned by usng the lest squre method. Dfferentton of equton (6) twce wth respect to t gves t t ( ) t ( + ) 3 d P F e F e = 3 dt b F e where F = b 1. P0 Snce t the nflecton pont, the equton (8) representng second dervtve of P must be equl to zero. Ths s possble f (8) t F = e (9) lnf t = (10)
3 Pure nd Appled Mthemtcs Journl 017; 6(6): For ths vlue of t or tme the pont of nflecton occurs, tht s, when the populton s hlf of the vlue of ts crryng cpcty. Hence, the coordnte of the pont of lnf L nflecton s,. If the tme when the pont of nflecton occurs s t = t, then t F e we use ths new vlue of F nd replce b equton (6) wll be P = L ( t t ) 1+ e t = becomes F = e. If by L, then (11) Let coordntes of the ctul nd tht of the predcted, t, M respectvely wth the populton vlues be ( t m ) nd ( ) sme bscss whch cn be presented n the sme fgure. M m ndctes the error n ths cse. To ensure tht error ( ) s postve, we squre ( M m). Thus, for curve fttng, totl squred error denoted by l hs the form m ( ) j j (1) l = M m j= 1 It s cler tht equton (1) n connecton wth equton (11) contns three prmeters M, nd t. To elmnte L we let To get equton (11) s h = P = Lh (13) 1 ( t t ) 1+ e (14) In equton (1), usng the vlue of P from equton (13) nd by propertes of nner product, we get, m ( ) j j = ( M j mj ) + + ( Mn mn ) l = M m j= 1 ( Lh m ) ( Lh m ) = ( Lh m Lh m ) = n n ( Lh, Lh ) ( m, m ) = 1 n 1 n = LH G 1 1, n n = L H, H L H, G + G, G where H = h1, h, hn nd G = m1, m, mn Thus l = L H, H L H, G + G, G (15) Dfferenttng l once wth respect to L prtlly nd equtng t to zero, we get Ths gves, L H, H H, G = 0 H, G L = (16) H, H From equton (13) by substtutng ths vlue of L, we obtn H, G l = G, G (17) H, H The equton (17) s n error functon tht contnng just two prmeters nd t whch re determned by MATLAB progrm. The vlues of the prmeters were n equton (16) to get the vlue of L. 3. Results 3.1. Populton Projecton of Nokhl Dstrct Usng Logstc Growth Model We fnd tht vlues of nd t re nd 15 respectvely usng ctul populton vlues, ther correspondng yers from Tble 1 nd usng MATLAB progrms. Thus, the populton growth rte of Nokhl s nerly 1.8% per nnum nd populton sze wll be hlf of ts lmtng vlue or crryng cpcty n the yer 15. From equton (0) by usng vlues of nd t nd MATLAB progrm, we get L = P mx = (18) Ths s the predcted lmtng vlue of the populton of Nokhl. Then, equton (7) gves b = = (19) The ntl populton wll be P 0 = 57744, f we let t = 0 to correspond to the yer 001. Substtutng the vlues of P 0, b nd nto equton (6), we get P = (0) 0.018t e To compute the predcted vlues of the populton, the equton (0) ws used. The tme t the pont of nflecton s found from equton (10) by usng vlues of, b nd P 0 nd t s t 14 (1) Ths vlue when dded to the ctul yer correspondng to t = 0,.e., 001 gves 15 s erler found s the vlue of t. From equton (0) by usng ths vlue of t, we obtn b =
4 167 Tnjm Akhter et l.: Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model Thus, n the yer 15 the populton of Nokhl dstrct s predcted to be whch s hlf of ts crryng Tble 1. Actul nd predcted vlues of populton of Nokhl. cpcty. The tble below shows predcted nd ther correspondng ctul populton vlues: Yer Actul Populton Growth Rte Predcted Populton Yer Actul Populton Growth Rte Predcted Populton Source: Populton nd Housng Census 011, Zll Report: Nokhl, Bngldesh Sttstcl Bureu, Bngldesh [5]. The followng s the grph of ctul populton nd predcted populton vlues gnst tme. 3.3 x ctul populton predcted populton Populton Tme Fgure 1. Grph of ctul populton nd predcted populton vlues gnst. Below s the grph of predcted populton vlues gnst tme. Equton (0) ws used to compute the vlues. Fgure. Grph of predcted populton vlues gnst tme.
5 Pure nd Appled Mthemtcs Journl 017; 6(6): Populton Projecton of Fen Dstrct Usng Logstc Growth Model of P 0, b nd nto equton (6), we get We fnd tht the vlues of nd t re nd 95 respectvely by usng ctul populton vlues, ther correspondng yers from Tble nd usng MATLAB progrms. Thus, the vlue of the populton growth rte of Fen s nerly 1.4% per nnum nd the populton sze wll be hlf of ts lmtng vlue or crryng cpcty n the yer 195. From equton (16) by usng vlues of nd t nd MATLAB progrm, we get L = P mx = () Ths s the predcted lmtng vlue of the populton of Fen. Then, equton (11) gves b = = (3) The ntl populton wll be P 0 = , f we let t = 0 to correspond to the yer 001. Substtutng the vlues Tble. Actul nd predcted vlues of populton of Fen P = 0.014t e (4) + To compute the predcted vlues of the populton, the equton (4) ws used. The tme t the pont of nflecton s found from equton (10) by usng vlues of, b nd P 0 nd t s t 94 (5) Ths vlue when dded to the ctul yer correspondng to t = 0,.e., 001 gves 95 s erler found s the vlue of t. From equton (4) by usng ths vlue of t, we obtn b = Thus, n the yer 95 the populton of Fen dstrct s predcted to be whch s hlf of ts crryng cpcty. The tble below shows the predcted populton vlues nd ther correspondng ctul populton vlues. Yer Actul Populton Growth Rte Predcted Populton Yer Actul Populton Growth Rte Predcted Populton Source: Populton nd Housng Census 011, Zll Report: Fen, Bngldesh Sttstcl Bureu, Bngldesh [6]. The followng s the grph of ctul populton nd predcted populton vlues gnst tme. 1.5 x ctul populton predcted populton 1.4 Populton Tme Fgure 3. Grph of ctul populton nd predcted populton vlues gnst tme.
6 169 Tnjm Akhter et l.: Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model Below s the grph of predcted populton vlues gnst tme. Equton (4) ws used to compute the vlues Fgure 4. Grph of predcted populton vlues gnst tme Populton Projecton of Lkhshmpur Dstrct Usng Logstc Growth Model We fnd tht the vlues of nd t re nd 75 respectvely by usng ctul populton vlues, ther correspondng yers from Tble 3 nd usng MATLAB progrms. Thus, the vlue of the populton growth rte of Lkhshmpur s nerly 1.5% per nnum nd the populton sze wll be hlf of ts lmtng vlue or crryng cpcty n the yer 75. From equton (16) by usng vlues of nd t nd MATLAB progrm, we get L = P mx = (6) Ths s the predcted lmtng vlue of the populton of Lkhshmpur. Then, equton (11) gves b = = (7) The ntl populton wll be P 0 = , f we let t = 0 to correspond to the yer 001. Substtutng the vlues P = 0.015t e (8) + To compute the predcted vlues of the populton, the equton (8) ws used. The tme t the pont of nflecton s found from equton (10) by usng vlues of, b nd nd t s t 74 (9) Ths vlue when dded to the ctul yer correspondng to t = 0,.e., 001 gves 75 s erler found s the vlue of. From equton (8) by usng ths vlue of t, we obtn b = Thus, n the yer 75 the populton of Lkhshmpur dstrct s predcted to be whch s hlf of ts crryng cpcty. The tble below shows the predcted populton vlues nd ther correspondng ctul populton vlues. of P 0, b nd nto equton (6), we get Tble 3. Actul nd predcted vlues of populton of Lkhshmpur. Yer Actul Populton Growth Rte Predcted Populton Yer Actul Populton Growth Rte Predcted Populton Source: Populton nd Housng Census 011, Zll Report: Lkhshmpur, Bngldesh Sttstcl Bureu, Bngldesh [7].
7 Pure nd Appled Mthemtcs Journl 017; 6(6): The followng s the grph of ctul populton nd predcted populton vlues gnst tme x ctul populton predcted populton Populton Tme Fgure 5. Grph of ctul populton nd predcted populton vlues gnst tme. Below s the grph of predcted populton vlues gnst tme. Equton (8) ws used to compute the vlues Fgure 6. Grph of predcted populton vlues gnst tme Populton Projecton of Comll Dstrct Usng Logstc Model We fnd tht vlues of nd t re nd 05 respectvely usng ctul populton vlues, ther correspondng yers from Tble 4 nd usng MATLAB. Thus, the vlue of the populton growth rte of Comll s nerly 1.6% per nnum nd the populton sze wll be hlf of ts lmtng vlue or crryng cpcty n the yer 05. From equton (0) usng vlues of nd t nd MATLAB progrm, we get
8 171 Tnjm Akhter et l.: Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model L = P mx = (30) Ths s the predcted lmtng vlue of the populton of Comll. Then, equton (11) gves b = = (31) The ntl populton wll be P 0 = , f we let t = 0 to correspond to the yer 001. Substtutng the vlues P 0, b nd nto equton (6), we get To compute the predcted vlues of the populton, the equton (3) ws used. The tme t the pont of nflecton s found from equton (10) by usng vlues of, b nd P 0 nd t s t 04 (33) Ths vlue when dded to the ctul yer correspondng to t = 0,.e., 001 gves 05 s erler found s the vlue of t. From equton (3) by usng ths vlue of t, we obtn b = P = 0.016t 1 6.e (3) + Tble 4. Actul nd predcted vlues of populton of Comll. Thus, n the yer 05 the populton of Comll dstrct s predcted to be whch s hlf of ts crryng cpcty. The tble below shows the predcted populton vlues nd ther correspondng ctul populton vlues. Yer Actul Populton Nturl Growth Predcted Populton Yer Actul Populton Nturl Growth Predcted Populton Source: Populton nd Housng Census 011, Zll Report: Comll, BngldeshSttstcl Bureu, Bngldesh [8]. The followng s the grph of ctul populton nd predcted populton vlues gnst tme. 5.8 x ctul populton prdcted populton 5.4 Populton Tme Fgure 7. Grph of ctul populton nd predcted populton vlues gnst tme. Below s the grph of predcted populton vlues gnst tme. Equton (3) ws used to compute the vlues
9 Pure nd Appled Mthemtcs Journl 017; 6(6): Fgure 8. Grph of predcted populton vlues gnst tme Estmton for Future Populton of Nokhl Usng Logstc Growth Model As equton (0) s the generl soluton, we use ths to predct populton of Nokhl from 015 to 040 Tble 5. Predcted populton of Nokhl. Yer Predcted Populton Yer Predcted populton Below s the grph of Predcted Populton from 015 to 040 gnst tme. Equton (0) ws used to the compute the vlues Fgure 9. Grph of predcted populton vlues gnst tme.
10 173 Tnjm Akhter et l.: Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model 3.6. Estmton for Future Populton of Fen Usng Logstc Growth Model As equton (4) s the generl soluton, we use ths to predct populton of Fen from 015 to 040 Tble 6. Predcted populton of Fen. Yer Predcted Populton Yer Predcted Populton Below s the grph of Predcted Populton from 015 to 040 gnst tme. Equton (4) ws used to the compute the vlues Fgure 10. Grph of predcted populton vlues gnst tme Estmton for Future Populton of Lkhshmpur Usng Logstc Growth Model As equton (8) s the generl soluton, we use ths to predct populton of Lkhshmpur from 015 to 040 Tble 7. Predcted populton of Lkhshmpur. Yer Predcted Populton Yer Predcted Populton
11 Pure nd Appled Mthemtcs Journl 017; 6(6): Below s the grph of Predcted Populton from 015 to 040 gnst tme. Equton (8) ws used to the compute the vlues Fgure 11. Grph of predcted populton vlues gnst tme Estmton for Future Populton of Comll Usng Logstc Growth Model As equton (3) s the generl soluton, we use ths to predct populton of Comll from 015 to 040 Tble 8. Predcted populton of Comll. Yer Predcted Populton Yer Predcted Populton Below s the grph of Predcted Populton from 015 to 040 gnst tme. Equton (3) ws used to the compute the vlues
12 175 Tnjm Akhter et l.: Populton Projecton of the Dstrcts Nokhl, Fen, Lkhshmpur nd Comll, Bngldesh by Usng Logstc Growth Model 4. Dscusson In Fgure 1, 3, 5 & 7 the ctul nd predcted vlues of populton predcted by Logstc Model of the dstrcts Nokh, Fen, Lkhshmpur & Comll re qute close to one nother. Ths ndctes tht errors between them re very smll. We cn lso see n Fgure, 4, 6 & 8 tht grph of predcted populton vlues re ftted well nto the Logstc curve. In cse of Nokhl dstrct populton strts to grow gong through n exponentl growth phse rechng ( hlf of ts crryng cpcty) n the yer 15 fter whch the rte of growth s expected to slow down. As t gets closer to the crryng cpcty, the growth s gn expected to drstclly slow down nd rech stble level. Populton growth rte of Nokhl ccordng to nformton n Bngldesh sttstcl bureu ws round 1.5%, 1.7%n 001, 00 & nd 1.9% n 003, 004, 005 whch corresponds well wth the fndngs n ths reserch work of growth rte of pproxmtely 1.8% per nnum. Populton of Fen tends to grow untl t reches n yer 95 then rte of growth drop off. As t come closer to crryng cpcty, the growth s gn cutely slow down nd become sttc. Fen s populton growth rte corresponds to dt n Bngldesh sttstcl bureu ws closely 1.%, 1.3%, 1.4%, 1.4% n 001, 00, 003 nd 004 whch re dentcl wth the fndngs of growth rte of proxmtely 1.4% per nnum. In Lkhshmpur dstrct populton rse up to exponentlly n yer 75 fter whch growth rte slck off. As the populton pprochng the crryng cpcty, the growth s gn supposed to excessvely slow down nd ctch up to stble stte. The populton growth rte of Lkhshmpur followng to nformton n Bngldesh sttstcl bureu ws pproxmtely 1.3%, 1.6%n 001, 00, nd 1.4% n 003, 004, 005 whch re smlr to the fndngs n ths work of Fgure 1. Grph of predcted populton vlues gnst tme. growth rte of bout 1.5% per nnum. Comll s populton strts to grow through Mlthusn growth when t reches n yer 05 growth rte grdully declne. As t ppers nerer to crryng cpcty, the growth s gn severely slow down nd come up to n nvrble ste. Regrdng to dt of Bngldesh sttstcl bureu Comll s growth rte ws pproxmtely 1.3%, 1.4%, 1.4%, 1.6%, 1.6% n 001, 00, 003, 004, 005 whch re consstent wth the fndngs n ths pper of growth rte of nerly 1.6% per nnum. The Logstc growth model projected Nokhl, Fen, Lkhshmpur & Comll s populton n 040 to be , , & Populton predcted by Logstc model of bove mentoned dstrcts from 015 to 040 re presented n fgure 9, 10, 11 nd 1 respectvely. 5. Conclusons Logstc model predcted crryng cpcty for the populton of Nokhl to be Populton growth of ny country depends lso on the vtl coeffcents. The vtl coeffcents, b re respectvely nd Thus the populton growth rte of Nokhl, ccordng to ths models 1.8% per nnum. Ths pproxmted populton growth rte compres well wth the sttstclly predcted vlues n lterture. Bsed on ths model the populton of Nokhl s expected to be ( hlf of ts crryng cpcty) n the yer 15. Logstc growth model estmted crryng cpcty for the populton of Fen to be Here the vtl coeffcents, b re respectvely nd Thus the populton growth rte of Fen, ccordng to ths model s 1.4% per nnum. Bsed on ths model the populton of Fen s supposed to be (hlf of crryng cpcty) n the yer 95. For Lkhshmpur dstrct crryng cpcty predcted by Logstc growth model s nd the
13 Pure nd Appled Mthemtcs Journl 017; 6(6): vtl coeffcent, b re nd Thus the populton growth rte of Lkhshmpur s 1.5% per nnum. Accordng to ths model, the populton of Lkhshmpur s presumed to be n the yer 75. Logstc growth model clculted crryng cpcty for the Comll s populton to be long wth vtl coeffcents, b re respectvely nd Thus the populton growth rte of Comll, regrdng to ths model, s 1.6% per nnum whch compres well wth the sttstclly predcted vlues n lterture. The populton of Comll wll be n the yer 05. The followng re some recommendtons: t cn be seen tht populton of the bove mentoned dstrcts chnges drmtclly, so the government should work towrds ndustrlzton of these res. Becuse ndustrlzton solves ccommodton problem nd enhnce food resource whch wll rse the crryng cpcty of the envronment by reducng coeffcent b. Vtl coeffcent nd b ought to be re-vlued frequently to estmte the lterton n populton growth rte becuse these coeffcents ply n mportnt role on economc developments, socl trends, emprcl dvncement nd Medcre oblgtons.. Becuse of the rpdly chngng populton vrous nturl dssters my occur s the populton exceeds envronments crryng cpcty. Government should tke precutonry mesures nd fclttes plnnng for worst-cse outcome. Ths study ntroduces n mportnt role for better sustnble development plns wth the lmted resources through the ccurte de of the future populton sze nd relted nformton of resources. Becuse future s ntmtely ted to the pst, projecton bsed on pst trends nd reltonshps rse our understndng of the dynmcs of populton growth nd often provde forecsts of future populton chnge tht re suffcently ccurte to support good decson mkng. The projecton of future populton gves future pcture of populton sze whch s controllble by reducng populton growth wth dfferent possble mesures. In the future to reduce regonl or stte level nequltes comprtve study lke ths wll help the government n formulton the polcy for dentfyng the thrust res to be emphszed to mprove the overll soco-economc development. Hence we hope ths reserch work wll help to buld n evenly developed country. References [1] R. B. Bnks. Growth nd Dffuson Phenomen: Mthemtcl Frme works nd Applctons, Sprnger, Berln, [] B. Mrtn. Dfferentl equtons nd ther pplctons 4th ed. ISBN Sprnger-Verlg, New York, 199. [3] H. Von Foerster. Some remrks on chngng populton, n The Knetcs of Cell Cellulr Prolferton, F. Stohlmn Jr., Ed, Grune nd Strtton, New York, 1959, pp [4] M. J. Hossn, M. R. Hossn, D. Dtt nd M. S. Islm. Mthemtcl Modelng of Bngldesh Populton Growth. Journl of Sttstcs & Mngement Systems Vol. 18(015), No. 3, pp , DOI: / [5] Populton nd Housng Census 011. Zl Report: Nokhl, Bngldesh Sttstcl Bureu, Bngldesh. [6] Populton nd Housng Census 011. Zl Report: Fen, Bngldesh Sttstcl Bureu, Bngldesh. [7] Populton nd Housng Census 011. Zl Report: Lkhshmpur, Bngldesh Sttstcl Bureu, Bngldesh. [8] Populton nd Housng Census 011. Zl Report: Comll, Bngldesh Sttstcl Bureu, Bngldesh. [9] J. D. Murry. Mthemtcl Bology, Thrd Edton, Sprnger. [10] A. Jfr. Dfferentl equtons nd ther pplctons, nd ed. Prentce Hll, New Delh, 004. [11] F. R. Shrpe nd A. J. Lotk. A problem n ge dstrbuton, Phl. Mgzne, 1, 1911, pp [1] A. Wl, D. Ntubbre nd V. Mbonrgr. Mthemtcl Modelng of Rwnd Populton Growth: Journl of Appled Mthemtcl Scences, Vol. 5(53), 011, pp [13] Plckett, R. L. (197). The dscovery of the method of lest squres. Bometrk, 59, [14] Fred Bruer Crols Cstllo-Chvez, Mthemtcl Models n Populton Bology nd Epdemology, Sprnger, 001.
Chapter Newton-Raphson Method of Solving a Nonlinear Equation
Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson
More informationDefinition of Tracking
Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,
More informationApplied Statistics Qualifier Examination
Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng
More informationStatistics and Probability Letters
Sttstcs nd Probblty Letters 79 (2009) 105 111 Contents lsts vlble t ScenceDrect Sttstcs nd Probblty Letters journl homepge: www.elsever.com/locte/stpro Lmtng behvour of movng verge processes under ϕ-mxng
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 informationInternational Journal of Pure and Applied Sciences and Technology
Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl
More informationQuiz: Experimental Physics Lab-I
Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled
More informationChapter Newton-Raphson Method of Solving a Nonlinear Equation
Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson
More informationLecture 4: Piecewise Cubic Interpolation
Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml
More informationUNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II
Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )
More information4. Eccentric axial loading, cross-section core
. Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we
More informationRank One Update And the Google Matrix by Al Bernstein Signal Science, LLC
Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses
More informationGAUSS ELIMINATION. Consider the following system of algebraic linear equations
Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()
More informationRemember: Project Proposals are due April 11.
Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,
More informationINTERPOLATION(1) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek
ELM Numercl Anlss Dr Muhrrem Mercmek INTEPOLATION ELM Numercl Anlss Some of the contents re dopted from Lurene V. Fusett, Appled Numercl Anlss usng MATLAB. Prentce Hll Inc., 999 ELM Numercl Anlss Dr Muhrrem
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 informationLOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER
Yn, S.-P.: Locl Frctonl Lplce Seres Expnson Method for Dffuson THERMAL SCIENCE, Yer 25, Vol. 9, Suppl., pp. S3-S35 S3 LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN
More informationOnline Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members
Onlne Appendx to Mndtng Behvorl Conformty n Socl Groups wth Conformst Members Peter Grzl Andrze Bnk (Correspondng uthor) Deprtment of Economcs, The Wllms School, Wshngton nd Lee Unversty, Lexngton, 4450
More informationLinear and Nonlinear Optimization
Lner nd Nonlner Optmzton Ynyu Ye Deprtment of Mngement Scence nd Engneerng Stnford Unversty Stnford, CA 9430, U.S.A. http://www.stnford.edu/~yyye http://www.stnford.edu/clss/msnde/ Ynyu Ye, Stnford, MS&E
More informationDennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1
Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:
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 informationSolution of Tutorial 5 Drive dynamics & control
ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm
More informationESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus
ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem
More informationPartially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism
CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,
More informationElectrochemical Thermodynamics. Interfaces and Energy Conversion
CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):
More informationVariable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia
Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng
More informationThe Schur-Cohn Algorithm
Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for
More informationJean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract
Stochstc domnnce on optml portfolo wth one rsk less nd two rsky ssets Jen Fernnd Nguem LAMETA UFR Scences Economques Montpeller Abstrct The pper provdes restrctons on the nvestor's utlty functon whch re
More informationThe Number of Rows which Equal Certain Row
Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X
More informationActivator-Inhibitor Model of a Dynamical System: Application to an Oscillating Chemical Reaction System
Actvtor-Inhtor Model of Dynmcl System: Applcton to n Osclltng Chemcl Recton System C.G. Chrrth*P P,Denn BsuP P * Deprtment of Appled Mthemtcs Unversty of Clcutt 9, A. P. C. Rod, Kolt-79 # Deprtment of
More informationStatistics 423 Midterm Examination Winter 2009
Sttstcs 43 Mdterm Exmnton Wnter 009 Nme: e-ml: 1. Plese prnt your nme nd e-ml ddress n the bove spces.. Do not turn ths pge untl nstructed to do so. 3. Ths s closed book exmnton. You my hve your hnd clcultor
More informationTwo Coefficients of the Dyson Product
Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn
More informationCISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting
CISE 3: umercl Methods Lecture 5 Topc 4 Lest Squres Curve Fttng Dr. Amr Khouh Term Red Chpter 7 of the tetoo c Khouh CISE3_Topc4_Lest Squre Motvton Gven set of epermentl dt 3 5. 5.9 6.3 The reltonshp etween
More informationFormulated Algorithm for Computing Dominant Eigenvalue. and the Corresponding Eigenvector
Int. J. Contemp. Mth. Scences Vol. 8 23 no. 9 899-9 HIKARI Ltd www.m-hkr.com http://dx.do.org/.2988/jcms.23.3674 Formulted Algorthm for Computng Domnnt Egenlue nd the Correspondng Egenector Igob Dod Knu
More informationLAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB
Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION
More informationPhysics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:
Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the
More informationINTRODUCTION TO COMPLEX NUMBERS
INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced
More information523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p*
R. Smpth Kumr, R. Kruthk, R. Rdhkrshnn / Interntonl Journl of Engneerng Reserch nd Applctons (IJERA) ISSN: 48-96 www.jer.com Vol., Issue 4, July-August 0, pp.5-58 Constructon Of Mxed Smplng Plns Indexed
More informationSmart Motorways HADECS 3 and what it means for your drivers
Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers You my hve seen some news rtcles bout the ntroducton of Hghwys Englnd
More informationInvestigation phase in case of Bragg coupling
Journl of Th-Qr Unversty No.3 Vol.4 December/008 Investgton phse n cse of Brgg couplng Hder K. Mouhmd Deprtment of Physcs, College of Scence, Th-Qr, Unv. Mouhmd H. Abdullh Deprtment of Physcs, College
More informationFitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document
Fttng Polynol to Het Cpcty s Functon of Teperture for Ag. thetcl Bckground Docuent by Theres Jul Zelnsk Deprtent of Chestry, edcl Technology, nd Physcs onouth Unversty West ong Brnch, J 7764-898 tzelns@onouth.edu
More informationIn this Chapter. Chap. 3 Markov chains and hidden Markov models. Probabilistic Models. Example: CpG Islands
In ths Chpter Chp. 3 Mrov chns nd hdden Mrov models Bontellgence bortory School of Computer Sc. & Eng. Seoul Ntonl Unversty Seoul 5-74, Kore The probblstc model for sequence nlyss HMM (hdden Mrov model)
More informationIdentification of Robot Arm s Joints Time-Varying Stiffness Under Loads
TELKOMNIKA, Vol.10, No.8, December 2012, pp. 2081~2087 e-issn: 2087-278X ccredted by DGHE (DIKTI), Decree No: 51/Dkt/Kep/2010 2081 Identfcton of Robot Arm s Jonts Tme-Vryng Stffness Under Lods Ru Xu 1,
More informationJens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers
Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for
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 information7.2 Volume. A cross section is the shape we get when cutting straight through an object.
7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A
More informationTHE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR
REVUE D ANALYSE NUMÉRIQUE ET DE THÉORIE DE L APPROXIMATION Tome 32, N o 1, 2003, pp 11 20 THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR TEODORA CĂTINAŞ Abstrct We extend the Sheprd opertor by
More informationCALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVEYS
CALIBRATION OF SMALL AREA ESTIMATES IN BUSINESS SURVES Rodolphe Prm, Ntle Shlomo Southmpton Sttstcl Scences Reserch Insttute Unverst of Southmpton Unted Kngdom SAE, August 20 The BLUE-ETS Project s fnnced
More informationModel Fitting and Robust Regression Methods
Dertment o Comuter Engneerng Unverst o Clorn t Snt Cruz Model Fttng nd Robust Regresson Methods CMPE 64: Imge Anlss nd Comuter Vson H o Fttng lnes nd ellses to mge dt Dertment o Comuter Engneerng Unverst
More informationDynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service
Dynmc Power Mngement n Moble Multmed System wth Gurnteed Qulty-of-Servce Qnru Qu, Qng Wu, nd Mssoud Pedrm Dept. of Electrcl Engneerng-Systems Unversty of Southern Clforn Los Angeles CA 90089 Outlne! Introducton
More informationEffects of polarization on the reflected wave
Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton
More informationSequences of Intuitionistic Fuzzy Soft G-Modules
Interntonl Mthemtcl Forum, Vol 13, 2018, no 12, 537-546 HIKARI Ltd, wwwm-hkrcom https://doorg/1012988/mf201881058 Sequences of Intutonstc Fuzzy Soft G-Modules Velyev Kemle nd Huseynov Afq Bku Stte Unversty,
More informationA Family of Multivariate Abel Series Distributions. of Order k
Appled Mthemtcl Scences, Vol. 2, 2008, no. 45, 2239-2246 A Fmly of Multvrte Abel Seres Dstrbutons of Order k Rupk Gupt & Kshore K. Ds 2 Fculty of Scence & Technology, The Icf Unversty, Agrtl, Trpur, Ind
More informationReview of linear algebra. Nuno Vasconcelos UCSD
Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)
More informationInvestigation of Fatality Probability Function Associated with Injury Severity and Age. Toshiyuki Yanaoka, Akihiko Akiyama, Yukou Takahashi
Investgton of Ftlty Probblty Functon Assocted wth Injury Severty nd Age Toshyuk Ynok, Akhko Akym, Yukou Tkhsh Abstrct The gol of ths study s to develop ftlty probblty functon ssocted wth njury severty
More informationMEASURING THE EFFECT OF PRODUCTION FACTORS ON YIELD OF GREENHOUSE TOMATO PRODUCTION USING MULTIVARIATE MODEL
MEASURING THE EFFECT OF PRODUCTION FACTORS ON YIELD OF GREENHOUSE TOMATO PRODUCTION USING MULTIVARIATE MODEL Mrn Nkoll, MSc Ilr Kpj, PhD An Kpj (Mne), Prof. As. Jon Mullr Agrculture Unversty of Trn Alfons
More informationSolubilities and Thermodynamic Properties of SO 2 in Ionic
Solubltes nd Therodync Propertes of SO n Ionc Lquds Men Jn, Yucu Hou, b Weze Wu, *, Shuhng Ren nd Shdong Tn, L Xo, nd Zhgng Le Stte Key Lbortory of Checl Resource Engneerng, Beng Unversty of Checl Technology,
More informationCopyright 2017 by Taylor Enterprises, Inc., All Rights Reserved. Adjusted Control Limits for U Charts. Dr. Wayne A. Taylor
Taylor Enterprses, Inc. Adjusted Control Lmts for U Charts Copyrght 207 by Taylor Enterprses, Inc., All Rghts Reserved. Adjusted Control Lmts for U Charts Dr. Wayne A. Taylor Abstract: U charts are used
More information4.4 Areas, Integrals and Antiderivatives
. res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order
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 informationMany-Body Calculations of the Isotope Shift
Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels
More informationAdvances in Environmental Biology
AENSI Journls Advnces n Envronmentl Bology ISSN-995-0756 EISSN-998-066 Journl home pge: http://www.ensweb.com/aeb/ Approxmton of Monthly Evpotrnsprton Bsed on Rnfll nd Geogrphcl nformton n Frs Provnce
More informationCourse Review Introduction to Computer Methods
Course Revew Wht you hopefully hve lerned:. How to nvgte nsde MIT computer system: Athen, UNIX, emcs etc. (GCR). Generl des bout progrmmng (GCR): formultng the problem, codng n Englsh trnslton nto computer
More informationCHI-SQUARE DIVERGENCE AND MINIMIZATION PROBLEM
CHI-SQUARE DIVERGENCE AND MINIMIZATION PROBLEM PRANESH KUMAR AND INDER JEET TANEJA Abstrct The mnmum dcrmnton nformton prncple for the Kullbck-Lebler cross-entropy well known n the lterture In th pper
More informationStrong Gravity and the BKL Conjecture
Introducton Strong Grvty nd the BKL Conecture Dvd Slon Penn Stte October 16, 2007 Dvd Slon Strong Grvty nd the BKL Conecture Introducton Outlne The BKL Conecture Ashtekr Vrbles Ksner Sngulrty 1 Introducton
More informationChemical Reaction Engineering
Lecture 20 hemcl Recton Engneerng (RE) s the feld tht studes the rtes nd mechnsms of chemcl rectons nd the desgn of the rectors n whch they tke plce. Lst Lecture Energy Blnce Fundmentls F 0 E 0 F E Q W
More informationLeast squares. Václav Hlaváč. Czech Technical University in Prague
Lest squres Václv Hlváč Czech echncl Unversty n Prgue hlvc@fel.cvut.cz http://cmp.felk.cvut.cz/~hlvc Courtesy: Fred Pghn nd J.P. Lews, SIGGRAPH 2007 Course; Outlne 2 Lner regresson Geometry of lest-squres
More informationHAMILTON-JACOBI TREATMENT OF LAGRANGIAN WITH FERMIONIC AND SCALAR FIELD
AMION-JACOBI REAMEN OF AGRANGIAN WI FERMIONIC AND SCAAR FIED W. I. ESRAIM 1, N. I. FARAA Dertment of Physcs, Islmc Unversty of Gz, P.O. Box 18, Gz, Plestne 1 wbrhm 7@hotml.com nfrht@ugz.edu.s Receved November,
More informationStratified Extreme Ranked Set Sample With Application To Ratio Estimators
Journl of Modern Appled Sttstcl Metods Volume 3 Issue Artcle 5--004 Strtfed Extreme Rned Set Smple Wt Applcton To Rto Estmtors Hn M. Smw Sultn Qboos Unversty, smw@squ.edu.om t J. Sed Sultn Qboos Unversty
More information8. INVERSE Z-TRANSFORM
8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere
More informationResearch Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order
Hndw Publshng Corporton Interntonl Journl of Dfferentl Equtons Volume 0, Artcle ID 7703, pges do:055/0/7703 Reserch Artcle On the Upper Bounds of Egenvlues for Clss of Systems of Ordnry Dfferentl Equtons
More informationDESIGN OF MULTILOOP CONTROLLER FOR THREE TANK PROCESS USING CDM TECHNIQUES
DESIGN OF MULTILOOP CONTROLLER FOR THREE TANK PROCESS USING CDM TECHNIQUES N. Kngsb 1 nd N. Jy 2 1,2 Deprtment of Instrumentton Engneerng,Annml Unversty, Annmlngr, 608002, Ind ABSTRACT In ths study the
More informationAPPROXIMATE INTEGRATION
APPROXIMATE INTEGRATION. Introduction We hve seen tht there re functions whose nti-derivtives cnnot be expressed in closed form. For these resons ny definite integrl involving these integrnds cnnot be
More informationName: SID: Discussion Session:
Nme: SID: Dscusson Sesson: hemcl Engneerng hermodynmcs -- Fll 008 uesdy, Octoer, 008 Merm I - 70 mnutes 00 onts otl losed Book nd Notes (5 ponts). onsder n del gs wth constnt het cpctes. Indcte whether
More informationKatholieke Universiteit Leuven Department of Computer Science
Updte Rules for Weghted Non-negtve FH*G Fctorzton Peter Peers Phlp Dutré Report CW 440, Aprl 006 Ktholeke Unverstet Leuven Deprtment of Computer Scence Celestjnenln 00A B-3001 Heverlee (Belgum) Updte Rules
More informationM/G/1/GD/ / System. ! Pollaczek-Khinchin (PK) Equation. ! Steady-state probabilities. ! Finding L, W q, W. ! π 0 = 1 ρ
M/G//GD/ / System! Pollcze-Khnchn (PK) Equton L q 2 2 λ σ s 2( + ρ ρ! Stedy-stte probbltes! π 0 ρ! Fndng L, q, ) 2 2 M/M/R/GD/K/K System! Drw the trnston dgrm! Derve the stedy-stte probbltes:! Fnd L,L
More informationDemand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert
Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationPLEASE SCROLL DOWN FOR ARTICLE
Ths rtcle ws downloded by:ntonl Cheng Kung Unversty] On: 1 September 7 Access Detls: subscrpton number 7765748] Publsher: Tylor & Frncs Inform Ltd Regstered n Englnd nd Wles Regstered Number: 17954 Regstered
More informationDepartment of Mechanical Engineering, University of Bath. Mathematics ME Problem sheet 11 Least Squares Fitting of data
Deprtment of Mechncl Engneerng, Unversty of Bth Mthemtcs ME10305 Prolem sheet 11 Lest Squres Fttng of dt NOTE: If you re gettng just lttle t concerned y the length of these questons, then do hve look t
More informationNew data structures to reduce data size and search time
New dt structures to reduce dt size nd serch time Tsuneo Kuwbr Deprtment of Informtion Sciences, Fculty of Science, Kngw University, Hirtsuk-shi, Jpn FIT2018 1D-1, No2, pp1-4 Copyright (c)2018 by The Institute
More informationCopyright 2017 by Taylor Enterprises, Inc., All Rights Reserved. Adjusted Control Limits for P Charts. Dr. Wayne A. Taylor
Taylor Enterprses, Inc. Control Lmts for P Charts Copyrght 2017 by Taylor Enterprses, Inc., All Rghts Reserved. Control Lmts for P Charts Dr. Wayne A. Taylor Abstract: P charts are used for count data
More information90 S.S. Drgomr nd (t b)du(t) =u()(b ) u(t)dt: If we dd the bove two equltes, we get (.) u()(b ) u(t)dt = p(; t)du(t) where p(; t) := for ll ; t [; b]:
RGMIA Reserch Report Collecton, Vol., No. 1, 1999 http://sc.vu.edu.u/οrgm ON THE OSTROWSKI INTEGRAL INEQUALITY FOR LIPSCHITZIAN MAPPINGS AND APPLICATIONS S.S. Drgomr Abstrct. A generlzton of Ostrowsk's
More informationProperties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives
Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn
More informationChemical Reaction Engineering
Lecture 20 hemcl Recton Engneerng (RE) s the feld tht studes the rtes nd mechnsms of chemcl rectons nd the desgn of the rectors n whch they tke plce. Lst Lecture Energy Blnce Fundmentls F E F E + Q! 0
More informationState space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies
Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response
More informationCHOVER-TYPE LAWS OF THE ITERATED LOGARITHM FOR WEIGHTED SUMS OF ρ -MIXING SEQUENCES
CHOVER-TYPE LAWS OF THE ITERATED LOGARITHM FOR WEIGHTED SUMS OF ρ -MIXING SEQUENCES GUANG-HUI CAI Receved 24 September 2004; Revsed 3 My 2005; Accepted 3 My 2005 To derve Bum-Ktz-type result, we estblsh
More informationEPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski
EPR Paradox and the Physcal Meanng of an Experment n Quantum Mechancs Vesseln C Nonnsk vesselnnonnsk@verzonnet Abstract It s shown that there s one purely determnstc outcome when measurement s made on
More informationIntroduction to Numerical Integration Part II
Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w
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 = Acceleration Linear Motion Acceleration Changing Velocity All these Velocities? Acceleration and Freefall Physics 114
Lner Accelerton nd Freell Phyc 4 Eyre Denton o ccelerton Both de o equton re equl Mgntude Unt Drecton (t ector!) Accelerton Mgntude Mgntude Unt Unt Drecton Drecton 4/3/07 Module 3-Phy4-Eyre 4/3/07 Module
More informationx=0 x=0 Positive Negative Positions Positions x=0 Positive Negative Positions Positions
Knemtc Quntte Lner Moton Phyc 101 Eyre Tme Intnt t Fundmentl Tme Interl Defned Poton x Fundmentl Dplcement Defned Aerge Velocty g Defned Aerge Accelerton g Defned Knemtc Quntte Scler: Mgntude Tme Intnt,
More informationInternational ejournals
ISSN-49 546 Avlble onlne t www.nterntonlejournls.com Interntonl ejournls Interntonl Journl of Mthemtcl Scences, Technology nd Humntes (6) Vol. 6, Issue, pp A Study on Dscrete Model of Three Speces Syn-Eco-System
More informationLesson 2. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER)
Lesson 2 Thermomechncl Mesurements for Energy Systems (MEN) Mesurements for Mechncl Systems nd Producton (MME) 1 A.Y. 2015-16 Zccr (no ) Del Prete A U The property A s clled: «mesurnd» the reference property
More informationHaddow s Experiment:
schemtc drwng of Hddow's expermentl set-up movng pston non-contctng moton sensor bems of sprng steel poston vres to djust frequences blocks of sold steel shker Hddow s Experment: terr frm Theoretcl nd
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More information4. More general extremum principles and thermodynamic potentials
4. More generl etremum prncples nd thermodynmc potentls We hve seen tht mn{u(s, X )} nd m{s(u, X)} mply one nother. Under certn condtons, these prncples re very convenent. For emple, ds = 1 T du T dv +
More informationChapter 5 Supplemental Text Material R S T. ij i j ij ijk
Chpter 5 Supplementl Text Mterl 5-. Expected Men Squres n the Two-fctor Fctorl Consder the two-fctor fxed effects model y = µ + τ + β + ( τβ) + ε k R S T =,,, =,,, k =,,, n gven s Equton (5-) n the textook.
More informationORDINARY DIFFERENTIAL EQUATIONS
6 ORDINARY DIFFERENTIAL EQUATIONS Introducton Runge-Kutt Metods Mult-step Metods Sstem o Equtons Boundr Vlue Problems Crcterstc Vlue Problems Cpter 6 Ordnr Derentl Equtons / 6. Introducton In mn engneerng
More informationMTH 146 Class 7 Notes
7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg
More information