11 Nonlinearities in finite element analysis
|
|
- Rudolf Harmon
- 5 years ago
- Views:
Transcription
1 Noleares e eleme aalyss e s sar wh some smlao eamples: Shell olg hp:// Sampg hp:// Sal shp mas hp:// Faseer os hp:// Hemmg hp://
2 Ra-54.3 Nmeral Mehos Srral Egeerg Coes. Moellg prples a boary ale problems egeerg sees. Eergy mehos a bas D e eleme mehos - bars/ros beams hea so seepage elerosas 3. Bas D a 3D e eleme mehos - hea so seepage 4. Nmeral mplemeao ehqes o e eleme mehos 5. Absra ormlao a aray o e eleme mehos 6. Fe eleme mehos or Eler Beroll beams 7. Fe eleme mehos or mosheo beams 8. Fe eleme mehos or Krhho oe plaes 9. Fe eleme mehos or Resser Ml plaes. Fe eleme mehos or D a 3D elasy. Era lere: Noleares e eleme aalyss. Era lere: Fe eleme mehos or me-epee problems Ra-54.3 / 6 / JN 65
3 Noleares e eleme aalyss Coes. Nolear ompaoal mehas. Geomeral oleares e eleme aalyss 3. Maeral oleares e eleme aalyss 4. earzao a solo algorhms earg oome A. Oerall ew a e ersag o oleares egeerg B. Ably o ormlae a sole smple moel problems o olear mehas Reerees J. N. Rey A Iroo o Nolear Fe Eleme Aalyss 4: hapers 3. 3 A.3; Boe & Woo Nolear Com Mehas or FE Aalyss: hapers Ra-54.3 / 5 / JN 66
4 . Ulzg or aog oleares Wha a be ahee by ersag olear pheomea mehas a e eleme mehos? Ra-54.3 / 4 / JN 67
5 . Ulzg or aog oleares Frs o all ersag o he are reqres ersag o oleares. Howeer olear pheomea are o oly a eresg researh el or geeral rosy. Namely beer or oae pros or seres a be esge by aog or eplog oleares: Ra-54.3 / 5 / JN 68
6 . Ulzg or aog oleares Frs o all ersag o he are reqres ersag o oleares. Howeer olear pheomea are o oly a eresg researh el or geeral rosy. Namely beer or oae pros or seres a be esge by aog or eplog oleares: ew maerals: omposes power meals power oree shape memory alloys aomaerals bomaerals large eormaos: blg olg orm-g oas a eraos: maser-slae oa l-srre erao speal loags: mpa loas ollower loas ml-physs a ople problems Ra-54.3 / 5 / JN 69
7 . Nolear ompaoal mehas wo ma sores o oleares are maeral oleary a geomeral oleary. Amog or ao o hese bas sores ere ypes o olear problems egeerg mehas a be grope as ollows: Ra-54.3 / 5 / JN 63
8 . Nolear ompaoal mehas wo ma sores o oleares are maeral oleary a geomeral oleary. Amog or ao o hese bas sores ere ypes o olear problems egeerg mehas a be grope as ollows: Geomeral oleary ables rames membraes plae shells large splaemes a/or roaos b small sras Fe eormaos meal ormg yre mehas large splaemes a/or roaos a large sras 3 Maeral oleary polymers seel oree sol olear/eoloal sra-sress ose respose Ra-54.3 / 5 / JN 63
9 . Nolear ompaoal mehas wo ma sores o oleares are maeral oleary a geomeral oleary. Amog or ao o hese bas sores ere ypes o olear problems egeerg mehas a be grope as ollows: Geomeral oleary ables rames membraes plae shells large splaemes a/or roaos b small sras Fe eormaos meal ormg yre mehas large splaemes a/or roaos a large sras 3 Maeral oleary polymers seel oree sol olear/eoloal sra-sress ose respose 4 Sably problems blg sap hrogh eg or shear bas meals geomeral a/or maeral sables 5 Nolear boary oos oa problems speal loags 6 Cople problems hermomehaal l-srre pezoelery Ra-5.35 / 5 / JN 63
10 . Nolear ompaoal mehas I boh lear a olear om mehas eormao a moo o a om s ee by he ollowg oeps: Kemas: eormaos Kes: eqaos o moos a sresses 3 hermoyams: eergy eqales 4 Cose behaor: e s. ema/hermoyam arables Ra-5.35 / 4 / JN 633
11 . Nolear ompaoal mehas I boh lear a olear om mehas eormao a moo o a om s ee by he ollowg oeps: Kemas: eormaos Kes: eqaos o moos a sresses 3 hermoyams: eergy eqales 4 Cose behaor: e s. ema/hermoyam arables Nmeral aalyss as e eleme mehos reerre as olear ompaoal mehas whe apple o olear om mehas s a way o smlae a aalyze omple sysems sbe o omple loags: A Nolear om mehas 4 B Nolear eergy mehos as e eleme ormlaos C Solo ehqes or reslg goerg olear algebra eqaos Remar. A esrbes a oos sysem B a C s sree appromaos. Ra-5.35 / 4 / JN 634
12 . Geomeral oleares e eleme aalyss arge sras geomerally olear eormaos mply les eg erre large sra measres or oms. Oe mesoal sra measres. e s oser a rss member o al legh a area A srehe o a al legh l a al area a. Egeerg sra or Cahy sra: E l : l l l l For ery small hages legh hs sra measre es o small sra qay. Ra-5.35 / 4 / JN 635
13 . Geomeral oleares e eleme aalyss arge sras geomerally olear eormaos mply les eg erre large sra measres or oms. Oe mesoal sra measres. e s oser a rss member o al legh a area A srehe o a al legh l a al area a. Egeerg sra or Cahy sra: E l : l l l l For ery small hages legh hs sra measre es o small sra qay. ogarhm sra or Hey sra or re sra: l l l l l l l Ra-5.35 / 4 / JN 636
14 . Geomeral oleares e eleme aalyss arge sras geomerally olear eormaos mply les eg erre large sra measres or oms. Oe mesoal sra measres. e s oser a rss member o al legh a area A srehe o a al legh l a al area a. Egeerg sra or Cahy sra: E l : l l l l For ery small hages legh hs sra measre es o small sra qay. ogarhm sra or Hey sra or re sra: l l l l l l Remar. Sras a a o be easly a ompaoally heaply geeralze o hree-mesoal oms. l Ra-5.35 / 4 / JN 637
15 638 3 Gree sra: 4 Almas sra: l l G ; ; l l A. Geomeral oleares e eleme aalyss Ra-5.35 / 4 / JN
16 639 3 Gree sra: 4 Almas sra: Remar. For ery small hages legh oe aga hese sra measres es o small sra qay: l l G ; ; l l A l l l l l l l l l l l l G. Geomeral oleares e eleme aalyss Ra-5.35 / 4 / JN
17 . Geomeral oleares e eleme aalyss Com sra measres. Small sra lear esor ompoes o he womesoal ase are o he orm y y yy y y y Ra-5.35 / 4 / JN 64
18 64 Com sra measres. Small sra lear esor ompoes o he womesoal ase are o he orm whle Gree sras ge large sra olear esor ompoes he orm y y y y y yy. Y X Y X X X E Y Y Y E X X X E y y y y y y yy y. Geomeral oleares e eleme aalyss Ra-5.35 / 4 / JN
19 . Geomeral oleares e eleme aalyss Aally loae geomerally olear elas bar problem. e s sar rom he geeral ormla o he prple o ral wor or eormable boes applable or boh lear a olear om heores: W V σ : ε V EAεε S S b V b V W e Ra-5.35 / 4 / JN 64
20 . Geomeral oleares e eleme aalyss Aally loae geomerally olear elas bar problem. e s sar rom he geeral ormla o he prple o ral wor or eormable boes applable or boh lear a olear om heores: W V EAεε Nε σ : ε V S b b S N V b V EAε W e Ra-5.35 / 4 / JN 643
21 . Geomeral oleares e eleme aalyss Aally loae geomerally olear elas bar problem. e s sar rom he geeral ormla o he prple o ral wor or eormable boes applable or boh lear a olear om heores: W se V EAεε Nε σ : ε V ε ' b ' b N ' ' S S a N V EAε b b V W e ε ' ' ' ' ' Ra-5.35 / 4 / JN 644
22 . Geomeral oleares e eleme aalyss Iegrag by pars ges he orm N '' N ' N ' b Ra-5.35 / 4 / JN 645
23 . Geomeral oleares e eleme aalyss Iegrag by pars ges he orm N '' N ' N ' a ally he ereal eqao a boary oos as N '' ; N EA N or 3 N or. ol EA ' ' : N l b N ol Ra-5.35 / 4 / JN 646
24 . Geomeral oleares e eleme aalyss Iegrag by pars ges he orm N '' a ally he ereal eqao a boary oos as N or 3 N or. whh a be ompare o he lear ase N ' N ' N '' ; N EA N' ; N EA N or 3 N or. l EA ' ' : N b Remar. Noleary s learly mple by he olear seo orer aal sra. ol EA' : N l l N ol Ra-5.35 / 4 / JN 647
25 . Geomeral oleares e eleme aalyss Fe eleme ormlao o a aally loae geomerally olear elas bar problem. As sal we sar rom he wea orm ere aboe N ' ' a : b EA' N EAε EA ' ' ' ' ' EA' b : l ' Ra-5.35 / 4 / JN 648
26 649 Fe eleme ormlao o a aally loae geomerally olear elas bar problem. As sal we sar rom he wea orm ere aboe a he hoose he e eleme ral a es os sasyg he esseal boary oos as sal: : ' ' ' ' : ' ' ' ' ' ' l b EA a EA EA EAε N b N. h h. Geomeral oleares e eleme aalyss Ra-5.35 / 4 / JN
27 . Geomeral oleares e eleme aalyss hs resls aer a ew seps ome here a eqao sysem K wh he ore eor ompable or = a he splaeme eor ow or = as beore or he lear ase b Ra-5.35 / 4 / JN 65
28 . Geomeral oleares e eleme aalyss hs resls aer a ew seps ome here a eqao sysem K wh he ore eor ompable or = a he splaeme eor ow or = as beore or he lear ase b whle he sess mar ompable or = ow epes o he ows: K K K Remar. he sess mar s osymmer whle s eres are sll oerae a arrow agoal ba ormg a ba mar e o loally sppore ral a es os. Ra-5.35 / 4 / JN 65
29 . Geomeral oleares e eleme aalyss hs resls aer a ew seps ome here a eqao sysem K wh he ore eor ompable or = a he splaeme eor ow or = as beore or he lear ase b whle he sess mar ompable or = ow epes o he ows: K K K Remar. he sess mar s osymmer whle s eres are sll oerae a arrow agoal ba ormg a ba mar e o loally sppore ral a es os. Remar. he sysem a o be sole by saar mar erse mehos whh s he mos sga eree bewee lear a olear FE mehos. Ra-5.35 / 4 / JN 65
30 . Geomeral oleares e eleme aalyss By ag a loser loo o he eral eergy beh he sess mar a be see as a eomposo o he symmer lear par a a ople o olear pars o ere orers: a EA' EA' ' EA ' ' ' 3 ' ' EA ' 3 ' Ra-5.35 / 4 / JN 653
31 . Geomeral oleares e eleme aalyss By ag a loser loo o he eral eergy beh he sess mar a be see as a eomposo o he symmer lear par a a ople o olear pars o ere orers: a K EA' ' EA K K l EA' K K ' ' ' 3 3 ' ol ' EA ' 3 ' Ra-5.35 / 4 / JN 654
32 . Geomeral oleares e eleme aalyss By ag a loser loo o he eral eergy beh he sess mar a be see as a eomposo o he symmer lear par a a ople o olear pars o ere orers: a K EA' ' EA K K l EA' K K ' ' ' 3 3 ' ol ' EA ' ' Remar. I D a 3D problems he olear sess par wll be mh more omplae ha he rre D moel problem alhogh he prples are he same. Remar. I he e we shall o be erese he sess mar he orm aboe raher ha s learzao so alle ageal sess mar. 3 Ra-5.35 / 4 / JN 655
33 .3 Maeral oleares e eleme aalyss Aally loae maerally olear elas bar problem. e s sar rom he geeral ormla o he prple o ral wor or eormable boes applable or boh lear a olear om heores: W V EAεε Nε σ : ε V S b b S N V b V E Aε E W l e ' A' : N l N ol Ra-5.35 / 4 / JN 656
34 .3 Maeral oleares e eleme aalyss Aally loae maerally olear elas bar problem. e s sar rom he geeral ormla o he prple o ral wor or eormable boes applable or boh lear a olear om heores: W se V EAεε Nε σ : ε V ε ' a N ' b b S S b N ε ' V ' b V E Aε E W l e ' A' : N l N ol Ra-5.35 / 4 / JN 657
35 .3 Maeral oleares e eleme aalyss Iegrag by pars ges he orm aalog o he lear ase N' N N b a ally he ereal eqao a boary oos N' ; N E Aε E N or l ' A' : N l N ol 3 N or. Ra-5.35 / 4 / JN 658
36 .3 Maeral oleares e eleme aalyss Iegrag by pars ges he orm aalog o he lear ase N' N N b a ally he ereal eqao a boary oos 3 N' N N ; or or N E Aε E. whh a be ompare o he lear ase whh oly he ormal ore s ere e o he sra-sress relao lear ol N N E A ε E E A ε Remar. Noleary s learly mple by he olear aal sress. l E l ' A' : N A' : N l l l ' A' : N l N ol N ol Ra-5.35 / 4 / JN 659
37 .3 Maeral oleares e eleme aalyss Fe eleme ormlao o a aally loae maerally olear elas bar problem. As sal we sar rom he wea orm ere aboe N ' a : b N E Aε EA' ' ' E l ' A' : N b : l l N ol Ra-5.35 / 4 / JN 66
38 66 Fe eleme ormlao o a aally loae maerally olear elas bar problem. As sal we sar rom he wea orm ere aboe a he hoose he e eleme ral a es os sasyg he esseal boary oos as sal: : ' ' ' : : ' ' ' l b EA a N N A E Aε E N b N ol l l h h.3 Maeral oleares e eleme aalyss Ra-5.35 / 4 / JN
39 .3 Maeral oleares e eleme aalyss hs resls aer a ew seps ome here a eqao sysem K wh he ore eor ompable or = a he splaeme eor ow or = as beore or he lear ase b whle he sess mar ompable or = ow epes o he ows: K K K Ra-5.35 / 4 / JN 66
40 .3 Maeral oleares e eleme aalyss hs resls aer a ew seps ome here a eqao sysem K wh he ore eor ompable or = a he splaeme eor ow or = as beore or he lear ase b whle he sess mar ompable or = ow epes o he ows: K K K Remar. he sess mar s osymmer whle s eres are sll oerae a arrow agoal ba ormg a ba mar e o loally sppore ral a es os. Remar. he sysem aboe a o be sole by saar mar erse mehos whh s he mos sga eree bewee lear a olear FE mehos. Ra-5.35 / 4 / JN 663
41 .3 Maeral oleares e eleme aalyss By ag a loser loo o he eral eergy beh he sess mar a be see as a eomposo o he symmer lear par a a ople o olear pars o ere orers: a K K l EA' ' ' K EA' ' EA ' K ol ' Ra-5.35 / 4 / JN 664
42 .3 Maeral oleares e eleme aalyss By ag a loser loo o he eral eergy beh he sess mar a be see as a eomposo o he symmer lear par a a ople o olear pars o ere orers: a K K l EA' ' ' K EA' ' EA ' K ol ' Remar. Maeral oleares a be ase by olear elasy olear elas maeral behaor as elaso-plasy so-plasy e. as well. Remar. I parlar elas behaor meas ere loa-respose pah or loag a loag phases pah epeee whle or elas behaor hese pahs are eal b wh oppose reos. hs ms be ae o ao he solo algorhms. Ra-5.35 / 4 / JN 665
43 .4 earzao a solo algorhms Solg a olear eqao sysem a se o olear algebra eqaos as K a be aomplshe by sg a Newo Raphso erao whh oles learzaos o he eqlbrm eqaos reqrg reoal eraes. Frs he loa s ge wh a salar mlpler a a reeree loa as re. Ra-5.35 / 4 / JN 666
44 .4 earzao a solo algorhms Solg a olear eqao sysem a se o olear algebra eqaos as K a be aomplshe by sg a Newo Raphso erao whh oles learzaos o he eqlbrm eqaos reqrg reoal eraes. Frs he loa s ge wh a salar mlpler a a reeree loa as re. Seo he sysem s wre a geeral orm as g : r : K re wh r eog he eral ore eor epeg o he ow eor. re Ra-5.35 / 4 / JN 667
45 .4 earzao a solo algorhms Solg a olear eqao sysem a se o olear algebra eqaos as K a be aomplshe by sg a Newo Raphso erao whh oles learzaos o he eqlbrm eqaos reqrg reoal eraes. Frs he loa s ge wh a salar mlpler a a reeree loa as re. Seo he sysem s wre a geeral orm as g : r : K re wh r eog he eral ore eor epeg o he ow eor. g g g g. hr he eqao s learze a a eqalbrm po : Remar. Appromae eqaly s al he eghborhoo o po. re Ra-5.35 / 5 / JN 668
46 669 Dreoal eraes appearg he learze orm are smply where he age sess mar wll play a esseal role he Newo Raphso erao base o he learze sysem whh mples he Newo Raphso erao seps as ollows: : re g g K r re re re re g g r K r K.4 earzao a solo algorhms K Ra-5.35 / 4 / JN
47 67 Dreoal eraes appearg he learze orm are smply where he age sess mar wll play a esseal role he Newo Raphso erao base o he learze sysem whh mples he Newo Raphso erao seps as ollows: : re g g K r g g sop sop re sop re re re re re or he e reme Se or whh l Ierae wh r r K r K r K.4 earzao a solo algorhms K Ra-5.35 / 4 / JN
48 .4 earzao a solo algorhms Choose Ireme seps...: a. Choose he e loa reme b. Ierao seps...; Choose olerae : b. Se b. For ompe b.3 Compe b.4 Upae sh ha K r Sole Compe r b.5 Che he oergee es ssase: ; g ; oe wh ; a se K r re r re I I re se sop o rer ba o b.. sop a sar he e reme a a. Ra-5.35 / 4 / JN 67
49 .4 earzao a solo algorhms Remar. I so alle moe Newo Raphso meho he age sess mar s o pae or eah erae sep oly or eah remeal sep. Newo Raphso erao Moe Newo Raphso erao Ra-5.35 / 4 / JN 67
50 .4 earzao a solo algorhms Remar. I so alle ar legh mehos or Rs mehos a aoal osra s apple or eraos orer o pree sap-hrogh ear lm pos rom A o A a rom B o B he gre o he rgh. Newo Raphso erao Ar legh meho Remar. I erae solo algorhms apple o problems olg elas oleares he pah-epeee o he ose mar hae o be ae o ao sep b.4 o he Newo Raphso erao aboe: Aoher erao or some oher ehqe s apple or ompg sress remes rom sra remes orer o say o he yel srae a o ollow he low rle. Ra-5.35 / 4 / JN 673
51 QUESIONS? ANSWERS ECURE BREAK!
52 Fe eleme mehos or me-epee problems e s sar wh some smlao eamples: Cg proess hp:// Bar braos l hp://
53 Ra-54.3 Nmeral Mehos Srral Egeerg Coes. Moellg prples a boary ale problems egeerg sees. Eergy mehos a bas D e eleme mehos - bars/ros beams hea so seepage elerosas 3. Bas D a 3D e eleme mehos - hea so seepage 4. Nmeral mplemeao ehqes o e eleme mehos 5. Absra ormlao a aray o e eleme mehos 6. Fe eleme mehos or Eler Beroll beams 7. Fe eleme mehos or mosheo beams 8. Fe eleme mehos or Krhho oe plaes 9. Fe eleme mehos or Resser Ml plaes. Fe eleme mehos or D a 3D elasy. Era lere: Noleares e eleme aalyss. Era lere: Fe eleme mehos or me-epee problems Ra-54.3 / 6 / JN 678
54 Fe eleme mehos or me-epee problems Coes. Parabol problems. Hyperbol problems 3. me egrao algorhms earg oome A. Ably o ere a apply e eleme mehos or me-epee problems B. Ably o lze a mpleme meral me egrao shemes or FEM Reerees ere oes: hapers 7 8 e boo: hapers A7.I 8 9 Ra-54.3 / 4 / JN 679
55 . All lse ompaoal moellg? I whh o saos oe has o ae o ao me-epee pheomea FE aalyss? Ra-54.3 / 4 / JN 68
56 . Parabol problems D moel problem Hea so oo problem D: e s oser oe-mesoal hea so. Forer law bls a ose relao bewee he hea l q a he emperare hrogh he hermal oy as q or D / 3D : q Ra-54.3 / 4 / JN 68
57 68 Hea so oo problem D: e s oser oe-mesoal hea so. Forer law bls a ose relao bewee he hea l q a he emperare hrogh he hermal oy as he rs law o hermoyams or he prple o oserao o eergy who he saoary sae assmpo mples he ollowg so eqao esrbg he problem or he hea sore wh he hea apay a mass esy ρ: q q. Parabol problems D moel problem Ra-54.3 / 4 / JN
58 683 Hea so oo problem D: e s oser oe-mesoal hea so. Forer law bls a ose relao bewee he hea l q a he emperare hrogh he hermal oy as he rs law o hermoyams or he prple o oserao o eergy who he saoary sae assmpo mples he ollowg so eqao esrbg he problem or he hea sore wh he hea apay a mass esy ρ: Remar. Cosolao o sols ollows he same eqao by replag he emperare by he pore pressre a he oees aorgly. q q. Parabol problems D moel problem Ra-54.3 / 4 / JN
59 . Parabol problems D moel problem Eler eqaos srog rom o he al-boary ale problem are he ollowg: a ' ' b q 3 q Ra-54.3 / 4 / JN 684
60 . Parabol problems D moel problem Eler eqaos srog rom o he al-boary ale problem are he ollowg: 3 emperare ow o o a q a hermal oy hea apay mass esy ge maeral aa hea spply ge loag aa - oma ge geomeral aa emperare o he boary ge esseal Drhle boary aa hea l o he boary ge aral Nema boary aa emperare o he boary ge esseal Drhle boary aa al emperare ge al aa ' ' b q q - oma ge aa. Ra-54.3 / 4 / JN 685
61 686. Mlply he ereal eqao by a smooh es o spee laer epeg o oly: ' ' ' '. Parabol problems wea orm Ra-54.3 / 4 / JN
62 687. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: ' ' ' ' ' '. Parabol problems wea orm Ra-54.3 / 4 / JN
63 688. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: 3. Iegrae by pars he le ha se: ' ' ' ' ' ' ' ' ' '. Parabol problems wea orm Ra-54.3 / 4 / JN
64 689. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: 3. Iegrae by pars he le ha se: 4. Ulze he aral boary oo b: ' ' ' ' ' ' ' ' ' ' ' q q. Parabol problems wea orm Ra-54.3 / 4 / JN
65 69. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: 3. Iegrae by pars he le ha se: 4. Ulze he aral boary oo b: 5. Se a zero esseal boary oo a or he es o: ' ' ' ' ' ' ' ' ' ' ' q q. Parabol problems wea orm Ra-54.3 / 4 / JN
66 . Parabol problems wea orm ' ' q Ra-54.3 / 4 / JN 69
67 69 6. Mlply he al oo 3 by he es o a maeral osas a egrae oer he oma:. Parabol problems wea orm ' ' q Ra-54.3 / 4 / JN
68 Mlply he al oo 3 by he es o a maeral osas a egrae oer he oma: Wea orm. F sh ha sases a or all sasyg.. Parabol problems wea orm q b ' ' a ' ' q Ra-54.3 / 4 / JN
69 . Parabol problems wea orm Remar. he solo a he es o respeely hae o sasy he esseal boary oos a he reglary oos o he orm H ; orer o be emaally amssble. H Ra-54.3 / 4 / JN 694
70 695 Remar. he solo a he es o respeely hae o sasy he esseal boary oos a he reglary oos o he orm orer o be emaally amssble. Remar. me-epeey s sll prese he ormlao:. Parabol problems wea orm ; H H Ra-54.3 / 4 / JN b ' ' a q
71 . Parabol problems e elemes. De he solo eral oma o sberals elemes wh oes a he eleme sze : h e e e e Ra-54.3 / 4 / JN 696
72 697. De he solo eral oma o sberals elemes wh oes a he eleme sze :. Choose a ral o or he e eleme appromao as a separae sm e e e e h h. Parabol problems e elemes Ra-54.3 / 4 / JN
73 . Parabol problems e elemes. De he solo eral oma o sberals elemes wh oes a he eleme sze : h e e. Choose a ral o or he e eleme appromao as a separae sm h wh sable loal bass os e o some polyomal orer ow lear e Ra-54.3 / 4 / JN 698
74 . Parabol problems e elemes. De he solo eral oma o sberals elemes wh oes a he eleme sze : h e e. Choose a ral o or he e eleme appromao as a separae sm h o some polyomal orer ow lear wh sable loal bass os e e he egrees o reeom h epe ow o me. Ra-54.3 / 4 / JN 699
75 . Parabol problems e elemes Esre ha he ral o sases he esseal boary oos: h Ra-54.3 / 4 / JN 7
76 7 Esre ha he ral o sases he esseal boary oos: 3. Choose a es o o a smlar orm Galer meho wh he orrespog oo: h. Parabol problems e elemes Ra-54.3 / 4 / JN
77 7 Esre ha he ral o sases he esseal boary oos: 3. Choose a es o o a smlar orm Galer meho wh he orrespog oo: 4. Iser he os ral a es o he wea orm: h ' ' a q. Parabol problems e elemes Ra-54.3 / 4 / JN
78 73 Esre ha he ral o sases he esseal boary oos: 3. Choose a es o o a smlar orm Galer meho wh he orrespog oo: 4. Iser he os ral a es o he wea orm:... ' ' ' ' a q h. Parabol problems e elemes Ra-54.3 / 4 / JN
79 74 q ' '. Parabol problems e elemes Ra-54.3 / 4 / JN
80 75 q ' '. Parabol problems e elemes b Ra-54.3 / 4 / JN
81 76 Wh he mass mar sess mar ompable or = ore eor ompable or = a he splaeme eor ow or = q K K M M ' ' M K M q ' '. Parabol problems e elemes b Ra-54.3 / 4 / JN
82 . Parabol problems e elemes hs resls a smple eqao sysem M K Ra-54.3 / 4 / JN 77
83 . Parabol problems e elemes hs resls a smple eqao sysem M K Remar. he apay or mass mar M s symmer a pose-ee. Ra-54.3 / 4 / JN 78
84 . Parabol problems e elemes hs resls a smple eqao sysem M K Remar. he apay or mass mar M s symmer a pose-ee. Remar. hs s a semsree ormlao se me-epeey s sll oosly prese he sysem hrogh he me epee eors a. Ra-54.3 / 4 / JN 79
85 . Parabol problems e elemes hs resls a smple eqao sysem M K Remar. he apay or mass mar M s symmer a pose-ee. Remar. hs s a semsree ormlao se me-epeey s sll oosly prese he sysem hrogh he me epee eors a. Remar. he sreze eqao sysem s a ople sysem o orary ereal eqaos o rs orer wh he ge al ale 3 o he orgal problem seg. Ra-54.3 / 4 / JN 7
86 . Parabol problems e elemes hs resls a smple eqao sysem M K Remar. he apay or mass mar M s symmer a pose-ee. Remar. hs s a semsree ormlao se me-epeey s sll oosly prese he sysem hrogh he me epee eors a. Remar. he sreze eqao sysem s a ople sysem o orary ereal eqaos o rs orer wh he ge al ale 3 o he orgal problem seg. Remar. I a olear ase he sysem eqao wol hae he orm or more geerally M K M g. Ra-54.3 / 4 / JN 7
87 . Parabol problems e elemes Brea eerse Sole he ree osllaos o a mass-sprg-amper m sysem moelle by a lear seo orer orary ereal eqao wh osa oees he orm m e H: Use he ral o or erg he harasers eqao a sgsh he ases II ^ < 4m wo omple ogae roos erampg III ^ = 4m a real ople roo ral ampg I ^ > 4m wo s real roos oerampg.. Ra-54.3 / 4 / JN 7
88 . Hyperbol problems e s reall ha he sa eqlbrm or ore balae or a boy rom he Eler s laws or momem prples eqale geeralzaos o Newo s laws: Prple o lear momem a be wre he orm b S S R wh spaal rre ograo boy loa b = b srae rao = mass esy ρ = ρ a spaal eloy el =. 3 ollows Ra-54.3 / 4 / JN 73
89 . Hyperbol problems e s reall ha he sa eqlbrm or ore balae or a boy rom he Eler s laws or momem prples eqale geeralzaos o Newo s laws: Prple o lear momem a be wre he orm b S S wh spaal rre ograo boy loa b = b srae rao = mass esy ρ = ρ a spaal eloy el =. Cahy s law a Gass ergee heorem mply he orm rom whh oe obas he eqao o moo: b b S S S σ b σ b. σ S R 3 ollows Ra-54.3 / 4 / JN 74
90 . Hyperbol problems D moel problem Elasoyams o a aally loae ro: Eler eqaos are ow o he orm a b A E A ' N N ' 3a 3b b Ra-54.3 / 4 / JN 75
91 . Hyperbol problems D moel problem Elasoyams o a aally loae ro: Eler eqaos are ow o he orm a b A N N 3a A ross-seoal area; legh; E A ' ' b 3b aal splaeme ow o o a E Yog's mols mass esy ge maeral aa b N al splaeme al eloy ge al aa. - oma ge geomeral aa aal boy loa ge loag aa aal e po splaeme ge esseal/geomer boary aa aal e po ore ge aral/ore boary aa Ra-54.3 / 4 / JN 76
92 77. Mlply he ereal eqao by a smooh es o spee laer epeg o oly: ' ' ' ' b A E A b A E A. Hyperbol problems wea orm Ra-54.3 / 4 / JN
93 78. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: ' ' ' ' b A E A b A E A b EA A ' '. Hyperbol problems wea orm Ra-54.3 / 4 / JN
94 79. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: 3. Iegrae by pars he le ha se: ' ' ' ' b A E A b A E A b EA A ' ' b EA A EA EA ' ' ' '. Hyperbol problems wea orm Ra-54.3 / 4 / JN
95 7. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: 3. Iegrae by pars he le ha se: 4. Ulze he aral boary oo b: ' ' ' ' b A E A b A E A b EA A ' ' b EA A EA EA ' ' ' ' ' N N EA. Hyperbol problems wea orm Ra-54.3 / 4 / JN
96 7. Mlply he ereal eqao by a smooh es o spee laer epeg o oly:. Iegrae oer he -oma eral: 3. Iegrae by pars he le ha se: 4. Ulze he aral boary oo b: 5. Se a zero esseal boary oo a or he es o: ' ' ' ' b A E A b A E A b EA A ' ' b EA A EA EA ' ' ' ' ' N N EA. Hyperbol problems wea orm Ra-54.3 / 4 / JN
97 . Hyperbol problems wea orm A EA ' ' b N Ra-54.3 / 4 / JN 7
98 73 6. Mlply he al oos 3a a 3b by he es o a maeral osas a egrae oer he oma:. Hyperbol problems wea orm ' ' N b EA A Ra-54.3 / 4 / JN A A A A
99 74 6. Mlply he al oos 3a a 3b by he es o a maeral osas a egrae oer he oma: Wea orm. F sh ha sases a. Hyperbol problems wea orm ' ' N b EA A. sasyg b ' ' a A A A A N b EA A A A A A Ra-54.3 / 4 / JN
100 . Hyperbol problems wea orm Remar. he solo a he es o respeely hae o sasy he esseal boary oos a he reglary oos he orm H ; orer o be emaally amssble. H Ra-54.3 / 4 / JN 75
101 76 Remar. he solo a he es o respeely hae o sasy he esseal boary oos a he reglary oos he orm orer o be emaally amssble. Remar. me-epeey s sll prese he ormlao:. Hyperbol problems wea orm ; H H Ra-54.3 / 4 / JN. sasyg b ' ' a A A A A N b A E A
102 . Hyperbol problems e elemes. De he solo eral oma o sberals elemes wh oes a he eleme sze : h e e e e Ra-54.3 / 4 / JN 77
103 78. De he solo eral oma o sberals elemes wh oes a he eleme sze :. Choose a ral o or he e eleme appromao as a separae sm e e e e Ra-54.3 / 4 / JN h h. Hyperbol problems e elemes
104 . Hyperbol problems e elemes. De he solo eral oma o sberals elemes wh oes a he eleme sze : h e e. Choose a ral o or he e eleme appromao as a separae sm h wh sable loal bass os e o some polyomal orer ow lear e Ra-54.3 / 4 / JN 79
105 . Hyperbol problems e elemes. De he solo eral oma o sberals elemes wh oes a he eleme sze : h e e. Choose a ral o or he e eleme appromao as a separae sm h o some polyomal orer ow lear wh sable loal bass os e e he egrees o reeom h epe ow o me. Ra-54.3 / 4 / JN 73
106 . Hyperbol problems e elemes Esre ha he ral o sases he esseal boary oos: h Ra-54.3 / 4 / JN 73
107 73 Esre ha he ral o sases he esseal boary oos: 3. Choose a es o o a smlar orm Galer meho wh he orrespog oo: h. Hyperbol problems e elemes Ra-54.3 / 4 / JN
108 733 Esre ha he ral o sases he esseal boary oos: 3. Choose a es o o a smlar orm Galer meho wh he orrespog oo: 4. Iser he os ral a es o he wea orm: h ' ' a N b EA A. Hyperbol problems e elemes Ra-54.3 / 4 / JN
109 734 Esre ha he ral o sases he esseal boary oos: 3. Choose a es o o a smlar orm Galer meho wh he orrespog oo: 4. Iser he os ral a es o he wea orm:... ' ' ' ' a EA A N b EA A h. Hyperbol problems e elemes Ra-54.3 / 4 / JN
110 735 N b EA A ' '. Hyperbol problems e elemes Ra-54.3 / 4 / JN
111 736 N b EA A ' '. Hyperbol problems e elemes A A A A b Ra-54.3 / 4 / JN
112 737 N b EA A ' '. Hyperbol problems e elemes A A A A A A A A b Ra-54.3 / 4 / JN
113 738 N b EA A ' '. Hyperbol problems e elemes A A A A A A A A b Ra-54.3 / 4 / JN Wh he mass mar sess mar ompable or = ore eor ompable or = a he splaeme eor ow or =
114 739 hs resls a smple eqao sysem K M. Hyperbol problems e elemes Ra-54.3 / 4 / JN A A N b EA K K A M M : : : : : ' ' : : : : M M K M
115 74 hs resls a smple eqao sysem Remar. he mass mar M s symmer a pose-ee. K M. Hyperbol problems e elemes Ra-54.3 / 4 / JN A A N b EA K K A M M : : : : : ' ' : : : : M M K M
116 74 hs resls a smple eqao sysem Remar. he mass mar M s symmer a pose-ee. Remar. hs s a semsree ormlao se me-epeey s sll oosly prese he sysem hrogh he me epee eors a. K M. Hyperbol problems e elemes Ra-54.3 / 4 / JN A A N b EA K K A M M : : : : : ' ' : : : : M M K M
117 . Hyperbol problems e elemes Remar. he sreze eqao sysem s a ople sysem o orary ereal eqaos o seo orer wh he ge al ales 3 o he orgal problem seg. Ra-54.3 / 4 / JN 74
118 . Hyperbol problems e elemes Remar. he sreze eqao sysem s a ople sysem o orary ereal eqaos o seo orer wh he ge al ales 3 o he orgal problem seg. Remar. I a olear ase he sysem wol hae he orm M K or more geerally M g. Ra-54.3 / 4 / JN 743
119 . Hyperbol problems e elemes Remar. he sreze eqao sysem s a ople sysem o orary ereal eqaos o seo orer wh he ge al ales 3 o he orgal problem seg. Remar. I a olear ase he sysem wol hae he orm M K or more geerally M g. Remar. I ase o ampe braos sos ampg mar C s le he sysem as M C K. Oe so alle Raylegh ampg mar ampg pheomea wh some osas α a β. C M K s se o esrbe he Ra-54.3 / 4 / JN 744
120 . Hyperbol problems e elemes Remar. he sreze eqao sysem s a ople sysem o orary ereal eqaos o seo orer wh he ge al ales 3 o he orgal problem seg. Remar. I a olear ase he sysem wol hae he orm M K or more geerally M g. Remar. I ase o ampe braos sos ampg mar C s le he sysem as M C K. Oe so alle Raylegh ampg mar ampg pheomea wh some osas α a β. M K s se o esrbe he Remar. I may ases a agoal lmpe mass mar s se o appromae he orgal osse mass mar orer o smply he eqao solo phase. C Ra-54.3 / 4 / JN 745
121 .3 me egrao algorhms Geeralze rapezoal amly o me egrao mehos or parabol problems. For he al ale problem problem M K perhaps he mos well ow a ommoly se solo algorhms are members o he geeralze rapezoal amly ossg o me seps ollowg he eqaos M K Ra-54.3 / 4 / JN 746
122 .3 me egrao algorhms Geeralze rapezoal amly o me egrao mehos or parabol problems. For he al ale problem problem M K perhaps he mos well ow a ommoly se solo algorhms are members o he geeralze rapezoal amly ossg o me seps ollowg he eqaos M K Remar. Dere ales or parameer α ge ere shemes: α = s alle orwar erees or orwar Eler; α = ½ rapezoal rle mpo rle or Cra Nholso; α = bawar erees or bawar Eler. Remar. Dere mplemeaos es or mehos o hs ype. Ra-54.3 / 4 / JN 747
123 .3 me egrao algorhms Geeralze rapezoal me egrao algorhm a be wre as ollows: a. b. Sole M or he al ale K me seps... or he me reme : ~ b. Compe preor b. Sole rom eqao ~ M K K ~ b.3 Compe : a rer o b.. Ra-54.3 / 4 / JN 748
124 .3 me egrao algorhms Geeralze rapezoal me egrao algorhm a be wre as ollows: a. b. Sole M or he al K ale me seps... or he me reme : ~ b. Compe preor b. Sole rom eqao ~ M K K ~ b.3 Compe a rer o b.. Remar. Dere ales or parameer α ge ere meho ypes: or α = he mehos s alle epl oherwse mpl whle mpl-epl mehos par o K s reae mplly a par eplly. Remar. Wh a agoal M sep b. s sraghorwar or a epl meho. : Ra-54.3 / 4 / JN 749
125 75 Newmar amly o me egrao mehos or hyperbol a parabolhyperbol problems. For he al ale problem problem perhaps he mos wely se solo algorhms are members o he Newmar amly ossg o me seps ollowg he eqaos le s eoe.3 me egrao algorhms K C M a a a a K M Ma Ra-54.3 / 4 / JN a : :
126 .3 me egrao algorhms Newmar amly o me egrao mehos or hyperbol a parabolhyperbol problems. For he al ale problem problem M C K perhaps he mos wely se solo algorhms are members o he Newmar amly ossg o me seps ollowg he eqaos le s eoe Ma M K a a a : a : Remar. Dere ales or parameer β a γ ge shemes wh ere sably ooally sable ooally sable a aray haraserss. a Ra-54.3 / 4 / JN 75
127 75 Newmar me egrao algorhm a be wre as ollows:.3 me egrao algorhms a rer o b.. ~ a ~ Compe b.3 ~ ~ rom Sole b. ~ ~ Compe preors b. : or me reme me seps b. : a ales or he al Sole a.... a a K C a K C M a a a K C Ma a Ra-54.3 / 4 / JN
128 .3 me egrao algorhms Remar. I so alle mlsep mehos arables or he e me sep are ompe by ag o ao o oly he preos sep a b some o he oher preeeg seps as well. a a Ra-54.3 / 4 / JN 753
129 Frher lerare or e eleme mehos mehas a srral egeerg Johso C.: Nmeral Solo o Paral Dereal Eqaos by he Fe Eleme Meho Bahe K.-J. & Chapelle D.: he Fe Eleme Aalyss o Shells: Fameals Zeewz O. C. & aylor R..: he Fe Eleme Meho: Is Bass a Fameals Zeewz O. C. & aylor R..: he Fe Eleme Meho or Sol a Srral Mehas Carle P. G.: he Fe Eleme Meho or Ellp Problems Asworh M. & Oe J..: A poseror Error Esmao Fe Eleme Aalyss New MS leel orses ompaoal mehas a Aalo Uersy Egeerg Compaos II / 6 7 Fe Eleme Mehos Cl Egeerg V / 6 7
130 HANK YOU FOR FOOWING HE COURSE PEASE GIVE FEEDBACK! HE END
A New Algorithm for Solving Coupled. Schrödinger KdV Equation: An Application. of the Fourier Transform Adomian. Decomposition Method
. Ses Theor. Phys. Vol. 8 o. 8 57-6 HIKRI.-hkar.o hp://.o.or/.988/asp..6 e lorh for Sol ople Shröer KV Eqao: pplao of he orer Trasfor oa Deoposo Meho reshr ha Sahareh Depare of Mehaal Eeer Soh Tehra rah
More informationThe ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.
C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationSolution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.
ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh
More informationQuantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)
Pro. O. B. Wrgh, Auum Quaum Mechacs II Lecure Tme-depede perurbao heory Tme-depede perurbao heory (degeerae or o-degeerae sarg sae) Cosder a sgle parcle whch, s uperurbed codo wh Hamloa H, ca exs a superposo
More informationNUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS
NUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS If e eqao coas dervaves of a - order s sad o be a - order dffereal eqao. For eample a secod-order eqao descrbg e oscllao of a weg aced po b a sprg
More informationMathematical Formulation
Mahemacal Formulao The purpose of a fe fferece equao s o appromae he paral ffereal equao (PE) whle maag he physcal meag. Eample PE: p c k FEs are usually formulae by Taylor Seres Epaso abou a po a eglecg
More information(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More informationDetermination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction
refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad
More informationOn Metric Dimension of Two Constructed Families from Antiprism Graph
Mah S Le 2, No, -7 203) Mahemaal Sees Leers A Ieraoal Joural @ 203 NSP Naural Sees Publhg Cor O Mer Dmeso of Two Cosrued Famles from Aprm Graph M Al,2, G Al,2 ad M T Rahm 2 Cere for Mahemaal Imagg Tehques
More informationChebyshev Polynomials for Solving a Class of Singular Integral Equations
Appled Mahemas, 4, 5, 75-764 Publshed Ole Marh 4 SRes. hp://www.srp.org/joural/am hp://d.do.org/.46/am.4.547 Chebyshev Polyomals for Solvg a Class of Sgular Iegral Equaos Samah M. Dardery, Mohamed M. Alla
More informationReal-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF
EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae
More informationIntegral Form of Popoviciu Inequality for Convex Function
Procees of e Paksa Acaey of Sceces: A. Pyscal a ozaoal Sceces 53 3: 339 348 206 oyr Paksa Acaey of Sceces ISSN: 258-4245 r 258-4253 ole Paksa Acaey of Sceces Researc Arcle Ieral For of Pooc Ieqaly for
More informationDisplacement, Velocity, and Acceleration. (WHERE and WHEN?)
Dsplacemen, Velocy, and Acceleraon (WHERE and WHEN?) Mah resources Append A n your book! Symbols and meanng Algebra Geomery (olumes, ec.) Trgonomery Append A Logarhms Remnder You wll do well n hs class
More informationNUMERICAL EVALUATION of DYNAMIC RESPONSE
NUMERICAL EVALUATION of YNAMIC RESPONSE Aalycal solo of he eqao of oo for a sgle degree of freedo syse s sally o ossble f he excao aled force or grod accelerao ü g -vares arbrarly h e or f he syse s olear.
More informationSolution set Stat 471/Spring 06. Homework 2
oluo se a 47/prg 06 Homework a Whe he upper ragular elemes are suppressed due o smmer b Le Y Y Y Y A weep o he frs colum o oba: A ˆ b chagg he oao eg ad ec YY weep o he secod colum o oba: Aˆ YY weep o
More informationELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University
ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered
More informationChapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1)
Aoucemes Reags o E-reserves Proec roosal ue oay Parameer Esmao Bomercs CSE 9-a Lecure 6 CSE9a Fall 6 CSE9a Fall 6 Paer Classfcao Chaer 3: Mamum-Lelhoo & Bayesa Parameer Esmao ar All maerals hese sles were
More informationChapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I
CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao
More informationThe Definition of Optimal Solution and an Extended Kuhn-Tucker Approach for Fuzzy Linear Bilevel Programming
eare rle: The Deo o Oal Solo a a Eee Kh-Tker roah The Deo o Oal Solo a a Eee Kh-Tker roah or zz ear leel Prograg Gagqa Zhag a Je sra leel eso ehqes are al eeloe or solg eeralze aagee roles wh eso akers
More informationDESIGN OF OBSERVERS FOR A CLASS OF NONLINEAR SYSTEMS IN ASSOCIATIVE OBSERVER FORM
MODELLING SIMULATION AND IDENTIFICATION OF PROCESSES DESIGN OF OBSERVERS FOR A CLASS OF NONLINEAR SYSTEMS IN ASSOCIATIVE OBSERVER FORM Ü Koa T Mllar R Pearso Absrac Coos or he esece o a observer orm or
More informationComputational Fluid Dynamics CFD. Solving system of equations, Grid generation
Compaoal ld Dyamcs CD Solvg sysem of eqaos, Grd geerao Basc seps of CD Problem Dscrezao Resl Gov. Eq. BC I. Cod. Solo OK??,,... Solvg sysem of eqaos he ype of eqaos decdes solo sraegy Marchg problems Eqlbrm
More informationChapters 2 Kinematics. Position, Distance, Displacement
Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen
More informationCyclone. Anti-cyclone
Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme
More informationSolution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations
Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare
More informationChapter 5. Long Waves
ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass
More informationDensity estimation III. Linear regression.
Lecure 6 Mlos Hauskrec mlos@cs.p.eu 539 Seo Square Des esmao III. Lear regresso. Daa: Des esmao D { D D.. D} D a vecor of arbue values Obecve: r o esmae e uerlg rue probabl srbuo over varables X px usg
More informationOn the Formulation of a Hybrid Discontinuous Galerkin Finite Element. Method (DG-FEM) for Multi-layered Shell Structures.
O he Formlao of a Hybr Dcoo Galer Fe Eleme Meho DG-FEM for Ml-layere Shell Srcre Tay L The bme o he facly of he Vrga Polyechc Ie a Sae Uvery paral flfllme of he reqreme for he egree of Maer of Scece I
More informationFrom hyperbolic regularization to exact hydrodynamics via simple kinetic models
{ From hyperbolc reglarzao o eac hydrodyamcs a smple ec models Maeo Colagel I.V.Karl, M. Kroeger ETH Zrch Swzerlad Ole: Kec heory ad mehods o redced descrpo The meag o sably: H-heorem The cocep o hyperbolcy
More informationA review of the finite-element method in seismic wave modelling
Revew of he fe-eleme meho A revew of he fe-eleme meho sesmc wave moellg Faraak ahmoa a Gary F. argrave ABSTRACT mercal solos of he scalar a elasc wave eqaos have grealy ae geophyscss boh he forwar moellg
More informationSquare law expression is non linear between I D and V GS. Need to operate in appropriate region for linear behaviour. W L
MOS Feld-Effec Trassrs (MOSFETs ecure # 4 MOSFET as a Amplfer k ( S Square law express s lear bewee ad. Need perae apprprae reg fr lear behaur. Cpyrgh 004 by Oxfrd Uersy Press, c. MOSFET as a Amplfer S
More informationLOAD-FLOW CALCULATIONS IN MESHED SYSTEMS Node voltage method A system part with the node k and its direct neighbour m
LOAD-FLOW CALCLATIONS IN MESHED SYSTEMS Node oltage method A system part wth the ode ad ts dret eghbor m Î Îm Î m m Crrets Î m m m Î Î m m m m Î m m m m m m m Let s dee the ode sel-admttae (adm. matr dagoal
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
More informationQR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA
QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationA Fusion Method of Fault Diagnosis Based on Nonlinear Spectral Analysis
Fo eod o Fal ago Baed o olear Seral al Ra We ogzao a Sool o Elero ad Iorao Egeerg X'a Jaoog Uver X'a 749.R. a rwe@are.o za@.ed. oggag Zo a Zag ad Xeg Wag Sool o Elero ad Iorao Egeerg X'a Jaoog Uver X'a
More information1. Linear second-order circuits
ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of
More informationTechnical Report. Asymptotic Analysis and Variance Estimation for. Testing Quasi-independence under Truncation
Teha Repor Asmpo Aass a Varae Esmao for Tesg Qas-epeee er Trao Taesh Emra a eg ag emra@pharm.asao-.a.p ag@sa..e. Dso of Bosass Shoo of Pharmaea Sees Kasao Uers 5-9- Sroae Mao- Too Japa se of Sass aoa hao-tg
More informationHyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems
SEAS RANSACIONS o HEA MASS RANSER Bos M Be As Bs Hpeo He Eo s Me Moe o See Qe o L-spe -spe Spes De Iese Poes ABIA BOBINSKA o Pss Mes es o L Ze See 8 L R LAIA e@o MARARIA BIKE ANDRIS BIKIS Ise o Mes Cope
More informationSolution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs
Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS
More informationA Remark on Generalized Free Subgroups. of Generalized HNN Groups
Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree
More informationCh. 22: Classical Theory of Harmonic Crystal
C. : Clssl Toy o mo Cysl gl o ml moo o o os l s ld o ls o pl ollowg:. Eqlbm Pops p o ls d Islos Eqlbm sy d Cos Egs Tml Epso d lg. Tspo Pops T pd o lo Tm Fl o Wdm-Fz Lw pody Tml Cody o Islos Tsmsso o od.
More informationTWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA
WO INERFIL OLLINER GRIFFIH RS IN HERMO- ELSI OMOSIE MEDI h m MISHR S DS * Deme o Mheml See I Ie o eholog BHU V-5 I he oee o he le o he e e o eeg o o olle Gh e he ee o he wo ohoo mel e e e emee el. he olem
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationPHYS 1443 Section 001 Lecture #4
PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law
More informationBlock 5 Transport of solutes in rivers
Nmeral Hydrals Blok 5 Transpor of soles n rvers Marks Holzner Conens of he orse Blok 1 The eqaons Blok Compaon of pressre srges Blok 3 Open hannel flow flow n rvers Blok 4 Nmeral solon of open hannel flow
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More informationAPPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS
Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come
More informationFundamentals of Speech Recognition Suggested Project The Hidden Markov Model
. Projec Iroduco Fudameals of Speech Recogo Suggesed Projec The Hdde Markov Model For hs projec, s proposed ha you desg ad mpleme a hdde Markov model (HMM) ha opmally maches he behavor of a se of rag sequeces
More informationUpper Bound For Matrix Operators On Some Sequence Spaces
Suama Uer Bou formar Oeraors Uer Bou For Mar Oeraors O Some Sequece Saces Suama Dearme of Mahemacs Gaah Maa Uersy Yogyaara 558 INDONESIA Emal: suama@ugmac masomo@yahoocom Isar D alam aer aa susa masalah
More informationAnalytical modelling of extruded plates
paper ID: 56 /p. Aalcal modellg of erded plaes C. Pézera, J.-L. Gader Laboraore Vbraos Acosqe, INSA de Lo,5 bs a.j. Cappelle 696 VILLEURBANNE Cede Erded plaes are ofe sed o bld lgh srcres h hgh sffess.
More informationFROM THE BCS EQUATIONS TO THE ANISOTROPIC SUPERCONDUCTIVITY EQUATIONS. Luis A. PérezP. Chumin Wang
FROM THE BCS EQUATIONS TO THE ANISOTROPIC SUPERCONDUCTIVITY EQUATIONS J. Samuel Mllá Faulad de Igeería Uversdad Auóoma del Carme Méxo. M Lus A. PérezP Isuo de Físa F UNAM MéxoM xo. Chum Wag Isuo de Ivesgaoes
More informationP-Convexity Property in Musielak-Orlicz Function Space of Bohner Type
J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg
More informationChapter 2. Review of Hydrodynamics and Vector Analysis
her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me
More informationDensity estimation III.
Lecure 6 esy esmao III. Mlos Hausrec mlos@cs..eu 539 Seo Square Oule Oule: esy esmao: Bomal srbuo Mulomal srbuo ormal srbuo Eoeal famly aa: esy esmao {.. } a vecor of arbue values Objecve: ry o esmae e
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Leas squares ad moo uo Vascocelos ECE Deparme UCSD Pla for oda oda we wll dscuss moo esmao hs s eresg wo was moo s ver useful as a cue for recogo segmeao compresso ec. s a grea eample of leas squares problem
More informationMathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem
Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao
More informationCyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles
Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of
More informationOH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9
OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at
More informationCOMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2
COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e
More information4. Runge-Kutta Formula For Differential Equations
NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul
More informationOptimal Control of Light Propagation Governed by Eikonal Equation within Inhomogeneous Media Using Computational Adjoint Approach
Jorl of Commo Egeerg Vol. 5 No. Jry-Je 05 4 Opml Corol of Lgh Propgo Goere y Eol Eqo wh Ihomogeeos Me Usg Compol Ao Approh S.F. Seyyereze Gh. Dshzeh Elerl Elero Egeerg Deprme Shhe Uersy Tehr Ir. Emls :seyyereze@shhe..r;
More information4. THE DENSITY MATRIX
4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o
More information14. Poisson Processes
4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur
More informationFinal Exam Applied Econometrics
Fal Eam Appled Ecoomercs. 0 Sppose we have he followg regresso resl: Depede Varable: SAT Sample: 437 Iclded observaos: 437 Whe heeroskedasc-cosse sadard errors & covarace Varable Coeffce Sd. Error -Sasc
More informationSystematic Configuration Procedure of LMI-Based Linear Anti-windup Synthesis
Sysemac Cofgrao Procere of LMI-Base Lear A-p Syhess a a a Jgcheg Wag Absrac I hs paper, a ovel sysemac cofgrao procere choosg parameers s presee for he syhess of lear a-p scheme by revsg he orgal goal
More informationContinuous Indexed Variable Systems
Ieraoal Joural o Compuaoal cece ad Mahemacs. IN 0974-389 Volume 3, Number 4 (20), pp. 40-409 Ieraoal Research Publcao House hp://www.rphouse.com Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationLearning of Graphical Models Parameter Estimation and Structure Learning
Learg of Grahal Models Parameer Esmao ad Sruure Learg e Fukumzu he Isue of Sasal Mahemas Comuaoal Mehodology Sasal Iferee II Work wh Grahal Models Deermg sruure Sruure gve by modelg d e.g. Mxure model
More informationNumerical Techniques for Conservation Laws with Source Terms
Nmercal Techqe or Coerao Law wh Sorce Term by J Hdo Projec Speror Dr. P.K. Sweby Pro. M.J. Bae Abrac h derao we wll dc he e derece mehod or appromag coerao law wh a orce erm pree whch codered o be a kow
More informationSOLUTION OF PARABOLA EQUATION BY USING REGULAR,BOUNDARY AND CORNER FUNCTIONS
SOLUTION OF PAABOLA EQUATION BY USING EGULA,BOUNDAY AND CONE FUNCTIONS Dr. Hayder Jabbar Abood, Dr. Ifchar Mdhar Talb Deparme of Mahemacs, College of Edcao, Babylo Uversy. Absrac:- we solve coverge seqece
More informationComputational results on new staff scheduling benchmark instances
TECHNICAL REPORT Compuaonal resuls on new saff shedulng enhmark nsanes Tm Curos Rong Qu ASAP Researh Group Shool of Compuer Sene Unersy of Nongham NG8 1BB Nongham UK Frs pulshed onlne: 19-Sep-2014 las
More information, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables
Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of
More informationEMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions
EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco
More informationFD-RBF for Partial Integro-Differential Equations with a Weakly Singular Kernel
Apple a Compuaoal Mahemacs 5; 4(6): 445-45 Publshe ole Ocober 5 (hp://www.scecepublshggroup.com//acm) o:.648/.acm.546.7 ISS: 38-565 (Pr); ISS: 38-563 (Ole) FD-RBF for Paral Iegro-Dffereal Equaos wh a Weakly
More informationReliability Mathematics Analysis on Traction Substation Operation
WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral
More informationChapter Simpson s 1/3 Rule of Integration. ( x)
Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use
More informationPartial Molar Properties of solutions
Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a
More informationFALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.
Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50
More informationHYPOTHESIS TESTING. four steps
Irodcio o Saisics i Psychology PSY 20 Professor Greg Fracis Lecre 24 Correlaios ad proporios Ca yo read my mid? Par II HYPOTHESIS TESTING for seps. Sae he hypohesis. 2. Se he crierio for rejecig H 0. 3.
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationEfficient Estimators for Population Variance using Auxiliary Information
Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav
More informationChapter Newton-Raphson Method of Solving Simultaneous Nonlinear Equations
Chapter 7 Newto-Rapho Method o Solg Smltaeo Nolear Eqato Ater readg th chapter o hold be able to: dere the Newto-Rapho method ormla or mltaeo olear eqato deelop the algorthm o the Newto-Rapho method or
More informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
More informationThe Cell Transmission Model, Newell s Cumulative Curves and Min-Plus Algebra
The Cell Trasmsso Model eell s Cumulae Cures ad M-Plus lgebra Takash kamasu Deember 003. Prelmares Dagazo s Cell Trasmsso Model Suppose ha he relaoshp beee raff flo q ad desy k a homogeeous road seo s
More informationA note on Turán number Tk ( 1, kn, )
A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco
More informationSection 8. Paraxial Raytracing
Secio 8 Paraxial aracig 8- OPTI-5 Opical Desig ad Isrmeaio I oprigh 7 Joh E. Greiveamp YNU arace efracio (or reflecio) occrs a a ierface bewee wo opical spaces. The rasfer disace ' allows he ra heigh '
More informationPhysics Notes - Ch. 2 Motion in One Dimension
Physics Noes - Ch. Moion in One Dimension I. The naure o physical quaniies: scalars and ecors A. Scalar quaniy ha describes only magniude (how much), NOT including direcion; e. mass, emperaure, ime, olume,
More informationMidterm Exam. Tuesday, September hour, 15 minutes
Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.
More informationELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION
. l & a s s Vo Flds o as l axwll a l sla () l Fld () l olasao () a Flx s () a Fld () a do () ad è s ( ). F wo Sala Flds s b dd l a s ( ) ad oool a s ( ) a oal o 4 qaos 3 aabls - w o Lal osas - oz abo Lal-Sd
More informationDerivatives of Inverse Trig Functions
Derivaives of Inverse Trig Fncions Ne we will look a he erivaives of he inverse rig fncions. The formlas may look complicae, b I hink yo will fin ha hey are no oo har o se. Yo will js have o be carefl
More informationQuantum Chemistry. Lecture 1. Disposition. Sources. Matti Hotokka Department of Physical Chemistry Åbo Akademi University
Lere Q hesry M Hookk epre of Physl hesry Åbo Akde Uversy oes Irodo o hs orse The HrreeFok eqos sposo Sores ) The Hükel ehod ) The HrreeFok eqos ) Bss ses d oher prles 4) Wh be lled 5) orrelo 6) The FT
More informationBianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity
Ieraoal Joural of Mahemacs esearch. IN 0976-50 Volume 6, Number (0), pp. 6-7 Ieraoal esearch Publcao House hp://www.rphouse.com Bach ype II ff Flud led Cosmologcal Model Geeral elay B. L. Meea Deparme
More informationCS 2750 Machine Learning Lecture 8. Linear regression. Supervised learning. a set of n examples
CS 75 Mache Learg Lecture 8 Lear regresso Mlos Hauskrecht los@cs.tt.eu 59 Seott Square Suervse learg Data: D { D D.. D} a set of eales D s a ut vector of sze s the esre outut gve b a teacher Obectve: lear
More informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More informationInstruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A
Instruction Sheet COOL SERIES DUCT COOL C UL R US LISTED H NK O you or urc s g t e D C t oroug y e ore s g / as e OL P ea e rea g product PR D C FE RES - Re ove r fro e c sed rea t m a o se e x o duct
More informationI I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8
emcouc hyscs evces: Bsc rcles, r eo Cher 8 oluos ul rolem oluos Cher 8 rolem oluos 8. he fwr s e ex f The e ex f e e f ex () () f f f f l G e f f ex f 59.9 m 60 m 0 9. m m 8. e ex we c wre hs s e ex h
More informationNumerical KDV equation by the Adomian decomposition method
America Joral o oder Physics ; () : -5 Pblished olie ay (hp://wwwsciecepblishiggropcom/j/ajmp) doi: 648/jajmp merical KDV eqaio by he Adomia decomposiio mehod Adi B Sedra Uiversié Ib Toail Faclé des Scieces
More informationFor the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.
The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe
More information