3.8. Other Unipolar Junctions
|
|
- Naomi Owens
- 6 years ago
- Views:
Transcription
1 3.8. Oher Uipolar ucios The meal-semicoducor jucio is he mos sudied uipolar jucio, be o he oly oe ha occurs i semicoducor devices. Two oher uipolar jucios are he - homojucio ad he - Heerojucio. The - homojucio frequely occurs i semicoducor devices are heavily doped regios are commoly added o reduce he overall resisace ad improve he coac resisiviy. Mos exbooks igore he effec of such jucios as he aalysis is more difficul ad he overall effec o he device is ypically small. We prese he elecrosaic aalysis of he - here i par for compleeess bu also o se he sage for he aalysis of he - heerojucio. The - heerojucio frequely occurs i heerojucio devices. Such occurrece is o always deliberae, bu heir aalysis is, albei complex, eed whe opimizig a Heerojucio device desig. I his secio we prese he elecrosaic aalysis of he - homojucio ad heerojucio as well as he aalysis of he - heerojucio curre The - homojucio Whe coacig semicoducor devices oe very ofe icludes highly doped semicoducor layers o lower he coac resisace bewee he semicoducor ad he meal coac. This added layer causes a - jucio wihi he device. Mos ofe hese jucios are igored i he aalysis of device i par because of he difficuly reaig hem correcly, i par because hey ca simply be igored. The build-i volage of a - jucio is give by: i 1 ( E E F F ) l q N d Nd (3.8.1) Which meas ha he buil-i volage is abou 59.4 me if he dopig coceraios differ by a facor 1. I is because of his small buil-i volage ha his jucio is ofe igored. However large variaios i dopig coceraio do cause sigifica poeial variaios. The ifluece of he - jucio mus be evaluaed i cojucio wih is curre volage characerisics: if he - jucio is i series wih a p- diode, he issue is wheher or o he - jucio affecs he operaio of he p- jucio i ay way. A low curre desiies oe ca expec he p- diode o domiae he curre flow, whereas a high curre desiies he - jucio could play a role if o desiged properly. For he aalysis of he - jucio we sar from a fla bad eergy bad diagram coecig he wo regios i absece of a elecric field. Oe ca visualize ha elecros will flow from he regio ad accumulae i he -ype regio. However, sice he carrier coceraio mus be coiuous (his is oly required i a homojucio), he carrier desiy i he -ype regio is smaller ha he dopig coceraio of he regio, ad he regio is o compleely depleed. The full depleio approximaio is herefore o applicable. Isead oe recogizes he siuaio o be similar o ha of a meal-semicoducor jucio: he regio is depleed bu has a small volage across he semicoducor as i a Schoky barrier wih small applied volage, whereas he -ype regio is accumulaed as i a Ohmic coac. A geeral soluio of his srucure requires he use of equaio (3.3.2).
2 A approximae soluio ca be obaied i he limi where he poeial across boh regios is smaller ha he hermal volage. The charge i he - srucure regio is he give by solvig he liearized Poisso equaio: ε s i a ρ ( x) exp for x < LD ( LD L ) L D D ε s i a x ρ ( x) exp for x > L ( L L ) L D D D x D (3.8.2) (3.8.3) where he - ierface is locaed a x, ad L D, ad L D, are he exrisic Debye leghs i he maerial, give by: LD ε skt 2 q Nd (3.8.4) L D ε skt (3.8.5) 2 q N d Applyig Poisso's equaio agai oe fids he poeials o be: i a ( x) LD exp for x < LD L L D D L D x ( x) ( i a )[1 exp ] for x < L L L D D x D (3.8.6) (3.8.7) The soluios for he charge desiy, elecric field, poeial ad eergy bad diagram are ploed i he Figure 3.8.1:
3 Disace (m) Charge Desiy (C/cm 2 ) Disace (m) , -1, -15, -2, -25, -3, Elecric Field (/cm) Disace (m) Poeial () E c E i E v Disace (m) Eergy (e) Figure Charge, elecric field, poeial ad eergy baddiagram i a silico - srucure wih N d 1 16 cm -3, N d 1 17 cm -3 ad a.
4 The - heerojucio Heerojucios ca be foud i a wide rage of heerojucio devices icludig laser diode high elecro mobiliy rasisors (HEMTs) ad heerojucio bipolar rasisors (HBTs). Of hose, he HEMT aurally coais such heerojucio, while he oher devices could coai a uieioal - heerojucio. As a sarig poi of he aalysi cosider a - heerojucio icludig a spacer layer wih hickess d as show i Figure Ec Ef qf i DE c Ec Ef Ev DEv Ev x -layer -d spacer layer -layer Figure Flabad eergy diagram of a - heerojucio icludig a spacer layer wih hickess d. The buil-i volage for a - heerojucio wih dopig coceraios N d ad N d is give by: i 1 ( E q F EF ) l N N d c, N d N c, Ec (3.8.8) Where N c, ad N c, are he effecive desiies of saes of he low ad high-doped regio respecively. Ulike a homojucio, he heerojucio ca have a buil-i volage, which is subsaially larger ha he hermal volage. This jusifies usig he full depleio approximaio for he depleed regio. For he accumulaed regio oe also has o cosider he ifluece of quaizaio of eergy levels as carriers are cofied by he elecric field ad he heeroierface. I he ex wo secios we aalyze he eergy bad diagram of he - heerojucio wih ad wihou he iclusio of quaizaio ad compare he wo soluios Aalysis wihou quaizaio For he classic case where he maerial does o become degeerae a he ierface oe ca use (3.3.22) o fid he oal charge i he accumulaio layer: Q acc ε E ε 2[exp 1] L D (3.8.9)
5 while he poeials ad he field ca be solved for a give applied volage usig: sp i a (3.8.1) 2 2 ε s, E 2qε N d ε s Ed sp ε sp (3.8.11) (3.8.12) The subscrip sp refers o he udoped spacer layer wih hickess d, which is locaed bewee he wo doped regios. These equaios ca be solved by sarig wih a cerai value of, which eables he calculaio of he elecric field, he oher poeials ad he correspodig volage, a Aalysis icludig quaizaio The aalysis of a - heerojucio icludig quaized levels is more complicaed because he eergy levels deped o he poeial, which ca oly be calculaed if he eergy levels are kow. A self-cosise calculaio is herefore required o obai a correc soluio. A approximae mehod, which also clarifies he seps eeded for a correc soluio is described below 1. Sarig from a cerai desiy of elecros per ui area, N s, which are prese i he accumulaio layer, oe fids he field a he ierface: E qn s ε (3.8.13) We assume ha oly he 1 eergy level is populaed wih elecros. The miimal eergy ca be expressed as a fucio of he elecric field 2 : E 2 h 1/ 3 9π 2 / 3 1 ( ) ( qe ) 2m 8 (3.8.14) The badgap discoiuiy E c ca he be relaed o he oher poeials of he jucio, yieldig: ε N E (3.8.15) c, Ec qa E1 ktl[exp( ) 1] ktl q q sp qnc, qw N d 1 A similar aalysis ca also be foud i Weisbuch ad ier, Quaum Semicoducor Srucure pp 4-41, Academic Pres See for isace F. Ser, Phys. Rev. B 5 p 4891, (1972).
6 where he poeial ad sp, i ur ca be expressed as a fucio of E : 2 2 ε s, E (3.8.16) 2qε N d sp ε ε E sp d (3.8.17) These equaios ca be combied io oe rascedeal equaio as a fucio of he elecric field, E. Ec qa E1 ε E ktl[exp( ) 1] ktl qnc, qw N 2 2 c, ε s, E (3.8.18) N 2ε N d d Oce E is kow all poeials ca be obaied Compariso of he wo soluios wih ad wihou quaizaio We ow compare boh approaches by preseig a umerical soluio obaied by implemeig he equaios above for he case wih as well as ha wihou quaizaio. Keep i mid ha eiher is exac as i would require a self-cosise umerical aalysis ha icludes he calculaio of he poeial based o he quaum mechaical disribuio of he charge i each of he quaized levels. The eergy bad diagram ad he shee charge versus applied volage are preseed i Figure ad Figure respecively. Eergy (e) E F, E c E F, Disace (m) Figure Eergy baddiagram of a Al.4 Ga.6 As/GaAs - heerosrucure wih N d 1 17 cm -3, N d 1 16 cm -3, d 1 m ad a.15. Compariso of aalysis wihou quaizaio (upper curve) o ha wih quaizaio (lower curve)
7 Shee Desiy (cm -2 ) 9E11 8E11 7E11 6E11 5E11 4E11 3E11 2E11 1E Applied olage () Figure Elecro desiy, N s, i he accumulaio regio versus applied volage, a, wih quaizaio (op curve) ad wihou quaizaio (boom curve). From he figures oe fids ha he aalysis wihou quaizaio predics a larger barrier o he lef of he ierface ad a larger shee charge for a give volage. The acual soluio is expeced o be somewhere i bewee he wo preseed here, especially for he case where more ha oe quaized level exiss ad is occupied.
8 Curres across a - heerojucio Curre raspor across a - heerojucio is similar o ha of a meal-semicoducor jucio: Diffusio, hermioic emissio as well as uelig of carriers across he barrier ca occur. However o ideify he curre compoes oe mus firs ideify he poeials ad by solvig he elecrosaic problem. From he bad diagram oe fids ha a barrier exiss for elecros goig from he o he -doped regio as well as for elecros goig i he opposie direcio. The aalysis i he firs secio discusses he hermioic emissio ad yields a closed form expressio based o a se of specific assumpios. The derivaio also illusraes how a more geeral expressio could be obaied. The ex secio describes he curre-volage characerisics of carriers raversig a depleio regio, while he las secio discusses how boh effecs ca be combied Thermioic emissio curre across a - heerojucio The oal curre due o hermioic emissio across he barrier is give by he differece of he curre flowig from lef o righ ad he curre flowig from righ o lef. Raher ha rederivig he expressio for hermioic emissio, we will apply equaio (3.4.6) o he - heerojucio. Oe complicaio arises from he fac ha he effecive mass of he carriers is differe o each side of he heero-jucio which would seem o idicae ha he Richardso cosa is differe for carrier flow from lef o righ compared o he flow from righ o lef. A more deailed aalysis reveals ha he differece i effecive mass causes a quaum mechaical reflecio a he ierface, causig carriers wih he higher effecive mass o be refleced back while carriers wih he smaller effecive mass are o firs order uaffeced 3. We herefore use equaio (3.4.6) for flow i boh direcios while usig he Richardso cosa correspodig o he smaller of he wo effecive masse yieldig: H E ( ) 2 c x E q F, Ec ( x ) EF, E (3.8.19) c A T {exp[ exp[ ]} kt kt where he poeials are relaed o he applied volage by 4 : i a (3.8.2) ad he buil-i volage is give by: i E c ( Ec ( x ) E ) ( Ec ( x ) E F F ) q (3.8.21) Combiig hese relaios yields: 3 A.A. Griberg, "Thermioic emissio i heerojucio sysems wih differe effecive elecroic masse" Phys. Rev. B, pp , No spacer layer is assumed i his derivaio, bu could be added if desired.
9 H A T 2 B (3.8.22) a exp[ ]exp[ ][exp 1] where he barrier heigh B is defied as: Ec ( Ec( x ) EF ) B q (3.8.23) Assumig full depleio i he depleio regio ad usig equaio (3.8.9) for he accumulaed regio, he charge balace bewee he depleio ad accumulaio layer akes he followig form: 2 ε qn ε d 2[exp 1] (3.8.24) Combiig equaios [3.2.2] wih [3.2.16] yields a soluio for ad. For he special case where ε s N d ε s N d ad >> hese equaios reduce o: i a exp (3.8.25) The curre (give by [3.2.18]) ca he be expressed as a fucio of he applied volage a H qa T i a a (1 )exp( B (3.8.26) )[exp 1] k i Whereas his expressio is similar o ha of a meal-semicoducor barrier, i differs i ha he emperaure depedece is somewha modified ad he reverse bias curre icreases almos liearly wih volage. Uder reverse bia he jucio ca be characerized as a cosa resisace, R H, which equals: R H A H a AA T 2 exp( B ) (3.8.27) where A is he area of he jucio. This shows ha he resisace chages expoeially wih he barrier heigh. Gradig of he heerojucio is ypically used o reduce he spike i he eergy bad diagram ad wih i he resisace across he ierface Calculaio of he Curre ad quasi-fermi level hroughou a Depleio Regio We ypically assume he quasi-fermi level o be cosa hroughou he depleio regio. This assumpio ca be jusified for a homojucio bu is o ecessarily correc for a heerojucio p- diode. For a homojucio p- diode we derived he followig expressio for he mioriy carrier desiy i he quasi-eural regio of a "log" diode
10 p p (exp a 1) exp( x L ) (3.8.28) so ha he maximum chage i he quasi-fermi level, which occurs a he edge of he depleio regio, equals: df dx d( kt l ) i dx kt L (3.8.29) so ha he chage of he quasi-fermi level ca be igored if he depleio regio widh is smaller ha he diffusio legh as is ypically he case i silico p- diodes. For a heero-jucio p- diode oe ca o assume ha he quasi-fermi level is coiuou especially whe he mioriy carriers eer a arrow badgap regio i which he recombiaio rae is so high ha he curre is limied by he drif/diffusio curre i he depleio regio locaed i he wide badgap semicoducor. The curre desiy ca be calculaed from: qµ E qd d dx (3.8.3) Assumig he field o be cosa hroughou he depleio regio oe fids for a cosa curre desiy he followig expressio for he carrier desiy a he ierface: While for zero curre oe fid for a arbirary field Ex (3.8.31) Nd exp( ) q µ E E ( x) dx Nd exp( ) Nd exp( ) (3.8.32) Combiig he wo expressios we posulae he followig expressio for he carrier desiy: qµ E max N d exp( ) (3.8.33) The carrier desiy ca also be expressed as a fucio of he oal chage i he quasi-fermi level across he depleio regio, E f ; N d EF, (3.8.34) exp( )exp( ) which yields he followig expressios for he curre desiy due o drif/diffusio:
11 qµ E max Nd EF, exp( )(exp( ) 1) kt (3.8.35) where is E max he field a he heerojucio ierface. If E f equals he applied volage, as is he case for a - heerosrucure, his expressio equals: qµ E max N d exp( )(exp( a ) 1) (3.8.36) which reduces for a M-S jucio o: dd hermioic µ E max v R (3.8.37) so ha hermioic emissio domiaes for v R << µ E max or whe he drif velociy is larger ha he Richardso velociy Calculaio of he curre due o hermioic emissio ad drif/diffusio The calculaio of he curre hrough a - jucio due o hermioic emissio ad drif/diffusio becomes sraighforward oce oe realizes ha he oal applied volage equals he sum of he quasi-fermi level variaio, E f, across each regio. For his aalysis we herefore rewrie he curre expressios as a fucio of E f, while applyig he expressio for he drif/diffusio curre o he maerial. hermioic A T 2 E (3.8.38) B F, 1 exp( ) exp( )[exp 1] kt drif B E F, 2 / diffusio qµ E max N exp( )[exp 1] c, kt (3.8.39) 5 I should be oed here ha he drif/diffusio model is o loger valid as he drif velociy of he carriers approaches he hermal velociy.
ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:
ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric
More informationComplementi di Fisica Lecture 6
Comlemei di Fisica Lecure 6 Livio Laceri Uiversià di Triese Triese, 15/17-10-2006 Course Oulie - Remider The hysics of semicoducor devices: a iroducio Basic roeries; eergy bads, desiy of saes Equilibrium
More informationFresnel Dragging Explained
Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field
More informationECE 340 Lecture 19 : Steady State Carrier Injection Class Outline:
ECE 340 ecure 19 : Seady Sae Carrier Ijecio Class Oulie: iffusio ad Recombiaio Seady Sae Carrier Ijecio Thigs you should kow whe you leave Key Quesios Wha are he major mechaisms of recombiaio? How do we
More informationSection 8 Convolution and Deconvolution
APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:
More information1 Notes on Little s Law (l = λw)
Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i
More informationMath 6710, Fall 2016 Final Exam Solutions
Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be
More informationIdeal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory
Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable
More information1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)
7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic
More informationBig O Notation for Time Complexity of Algorithms
BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time
More informationElectrical Engineering Department Network Lab.
Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por
More informationECE-314 Fall 2012 Review Questions
ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.
More informationCLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS
PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach
More informationOLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17
OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios
More informationCSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists
CSE 41 Algorihms ad Daa Srucures 10/14/015 Skip Liss This hadou gives he skip lis mehods ha we discussed i class. A skip lis is a ordered, doublyliked lis wih some exra poiers ha allow us o jump over muliple
More informationC(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12
Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)
More informationBEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS
BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad
More informationINVESTMENT PROJECT EFFICIENCY EVALUATION
368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme
More informationEconomics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017
Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy
More informationComparison between Fourier and Corrected Fourier Series Methods
Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1
More informationNotes 03 largely plagiarized by %khc
1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our
More informationCalculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.
Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..
More informationMATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b),
MATH 57a ASSIGNMENT 4 SOLUTIONS FALL 28 Prof. Alexader (2.3.8)(a) Le g(x) = x/( + x) for x. The g (x) = /( + x) 2 is decreasig, so for a, b, g(a + b) g(a) = a+b a g (x) dx b so g(a + b) g(a) + g(b). Sice
More informationExtremal graph theory II: K t and K t,t
Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee
More informationEnergy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.
ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio
More informationUsing Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral
Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai
More informationSTK4080/9080 Survival and event history analysis
STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally
More informationODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003
ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous
More informationPure Math 30: Explained!
ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial
More informationMoment Generating Function
1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example
More informationB. Maddah INDE 504 Simulation 09/02/17
B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service
More informationThe Eigen Function of Linear Systems
1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =
More informationDissipative Relativistic Bohmian Mechanics
[arxiv 1711.0446] Dissipaive Relaivisic Bohmia Mechaics Roume Tsekov Deparme of Physical Chemisry, Uiversiy of Sofia, 1164 Sofia, Bulgaria I is show ha quaum eagleme is he oly force able o maiai he fourh
More informationProblems and Solutions for Section 3.2 (3.15 through 3.25)
3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped
More informationK3 p K2 p Kp 0 p 2 p 3 p
Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra
More information5.74 Introductory Quantum Mechanics II
MIT OpeCourseWare hp://ocw.mi.edu 5.74 Iroducory Quaum Mechaics II Sprig 009 For iformaio aou ciig hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms. drei Tokmakoff, MIT Deparme of Chemisry,
More informationREVERSE CHARACTERISTICS OF PN JUNCTION
EESE CHAACESCS O N JUNCON Whe ucio reverse biased, sace charge regio creaed by ioised doors ad acceors exeds. Elecric field ad volage disribuio ca be fid solvig oisso equaio e( ND NA ) div E div grad ε
More informationSUMMATION OF INFINITE SERIES REVISITED
SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral
More informationDepartment of Mathematical and Statistical Sciences University of Alberta
MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm
More informationλiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi
Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio
More informationN! AND THE GAMMA FUNCTION
N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio
More informationth m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)
1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques
More informationDynamic h-index: the Hirsch index in function of time
Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260
More information10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)
ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames
More informationCOS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma
COS 522: Complexiy Theory : Boaz Barak Hadou 0: Parallel Repeiio Lemma Readig: () A Parallel Repeiio Theorem / Ra Raz (available o his websie) (2) Parallel Repeiio: Simplificaios ad he No-Sigallig Case
More informationDavid Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.
! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =
More informationF D D D D F. smoothed value of the data including Y t the most recent data.
Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig
More informationProcedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables
Available olie a wwwsciecedireccom ScieceDirec Procedia - Social ad Behavioral Scieces 30 ( 016 ) 35 39 3 rd Ieraioal Coferece o New Challeges i Maageme ad Orgaizaio: Orgaizaio ad Leadership, May 016,
More informationIn this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)
Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )
More informationAvailable online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:
Available olie a hp://sci.org J. Mah. Compu. Sci. 4 (2014), No. 4, 716-727 ISSN: 1927-5307 ON ITERATIVE TECHNIQUES FOR NUMERICAL SOLUTIONS OF LINEAR AND NONLINEAR DIFFERENTIAL EQUATIONS S.O. EDEKI *, A.A.
More information12 Getting Started With Fourier Analysis
Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll
More informationES 330 Electronics II Homework 03 (Fall 2017 Due Wednesday, September 20, 2017)
Pae1 Nae Soluios ES 330 Elecroics II Hoework 03 (Fall 017 ue Wedesday, Sepeber 0, 017 Proble 1 You are ive a NMOS aplifier wih drai load resisor R = 0 k. The volae (R appeari across resisor R = 1.5 vols
More informationClass 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference
Thi Film Ierferece Thi- ierferece Ierferece ewee ligh waves is he reaso ha hi s, such as soap ules, show colorful paers. Phoo credi: Mila Zikova, via Wikipedia Thi- ierferece This is kow as hi- ierferece
More informationThe Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION
Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii
More informationLecture 15: Three-tank Mixing and Lead Poisoning
Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [
More information2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)
Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he
More informationKing Fahd University of Petroleum & Minerals Computer Engineering g Dept
Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure
More informationDepartment of Electrical and Computer Engineering COEN 451 April 25, 2008
Deparme of Elecrical ad ompuer Egieerig OEN 45 April 5, 008 Aswer all Quesios. All Quesios carry equal marks Exam Duraio 3 hour You may use he crib shee ad MOSIS5B parameers aached. Oly recommeded calculaors
More informationBE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion
BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.
More informationActuarial Society of India
Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!
More informationThe analysis of the method on the one variable function s limit Ke Wu
Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776
More informationReview Exercises for Chapter 9
0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled
More informationThin MLCC (Multi-Layer Ceramic Capacitor) Reliability Evaluation Using an Accelerated Ramp Voltage Test
cceleraed Sress Tesig ad Reliabiliy Thi MLCC (Muli-Layer Ceramic Capacior) Reliabiliy Evaluaio Usig a cceleraed Ramp olage Tes Joh Scarpulla The erospace Corporaio joh.scarpulla@aero.org Jauary-4-7 Sepember
More informationChemistry 1B, Fall 2016 Topics 21-22
Cheisry B, Fall 6 Topics - STRUCTURE ad DYNAMICS Cheisry B Fall 6 Cheisry B so far: STRUCTURE of aos ad olecules Topics - Cheical Kieics Cheisry B ow: DYNAMICS cheical kieics herodyaics (che C, 6B) ad
More information14.02 Principles of Macroeconomics Fall 2005
14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are
More informationAn interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract
A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class
More informationPI3B V, 16-Bit to 32-Bit FET Mux/DeMux NanoSwitch. Features. Description. Pin Configuration. Block Diagram.
33V, 6-Bi o 32-Bi FET Mux/DeMux NaoSwich Feaures -ohm Swich Coecio Bewee Two Pors Near-Zero Propagaio Delay Fas Swichig Speed: 4s (max) Ulra -Low Quiesce Power (02mA yp) Ideal for oebook applicaios Idusrial
More informationClock Skew and Signal Representation
Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio
More informationLecture 9: Polynomial Approximations
CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy
More information6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend
6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q
More informationS n. = n. Sum of first n terms of an A. P is
PROGREION I his secio we discuss hree impora series amely ) Arihmeic Progressio (A.P), ) Geomeric Progressio (G.P), ad 3) Harmoic Progressio (H.P) Which are very widely used i biological scieces ad humaiies.
More informationOnline Supplement to Reactive Tabu Search in a Team-Learning Problem
Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c
More informationLet s express the absorption of radiation by dipoles as a dipole correlation function.
MIT Deparme of Chemisry 5.74, Sprig 004: Iroducory Quaum Mechaics II Isrucor: Prof. Adrei Tokmakoff p. 81 Time-Correlaio Fucio Descripio of Absorpio Lieshape Le s express he absorpio of radiaio by dipoles
More informationSolutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π
Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier
More informationL-functions and Class Numbers
L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle
More informationSolutions to Problems 3, Level 4
Soluios o Problems 3, Level 4 23 Improve he resul of Quesio 3 whe l. i Use log log o prove ha for real >, log ( {}log + 2 d log+ P ( + P ( d 2. Here P ( is defied i Quesio, ad parial iegraio has bee used.
More informationEffect of Heat Exchangers Connection on Effectiveness
Joural of Roboics ad Mechaical Egieerig Research Effec of Hea Exchagers oecio o Effeciveess Voio W Koiaho Maru J Lampie ad M El Haj Assad * Aalo Uiversiy School of Sciece ad echology P O Box 00 FIN-00076
More informationIf boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are:
3. Iiial value problems: umerical soluio Fiie differeces - Trucaio errors, cosisecy, sabiliy ad covergece Crieria for compuaioal sabiliy Explici ad implici ime schemes Table of ime schemes Hyperbolic ad
More informationManipulations involving the signal amplitude (dependent variable).
Oulie Maipulaio of discree ime sigals: Maipulaios ivolvig he idepede variable : Shifed i ime Operaios. Foldig, reflecio or ime reversal. Time Scalig. Maipulaios ivolvig he sigal ampliude (depede variable).
More informationOptimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis
Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The
More informationApproximating Solutions for Ginzburg Landau Equation by HPM and ADM
Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural
More informationLIMITS OF FUNCTIONS (I)
LIMITS OF FUNCTIO (I ELEMENTARY FUNCTIO: (Elemeary fucios are NOT piecewise fucios Cosa Fucios: f(x k, where k R Polyomials: f(x a + a x + a x + a x + + a x, where a, a,..., a R Raioal Fucios: f(x P (x,
More informationPaper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1
Paper 3A3 The Equaios of Fluid Flow ad Their Numerical Soluio Hadou Iroducio A grea ma fluid flow problems are ow solved b use of Compuaioal Fluid Damics (CFD) packages. Oe of he major obsacles o he good
More informationExercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May
Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly
More informationMETHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER
Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue
More informationInternational Journal of Mathematics Trends and Technology (IJMTT) Volume 53 Number 5 January 2018
Ieraioal Joural of Mahemaics reds ad echology (IJM) Volume 53 Number 5 Jauary 18 Effecs of ime Depede acceleraio o he flow of Blood i rery wih periodic body acceleraio mi Gupa #1, Dr. GajedraSaraswa *,
More informationFIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE
Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial
More informationD DAVID PUBLISHING. Filling the Teaching Gap between Electromagnetics and Circuits. Nomenclature. 1. Introduction. Massimo Ceraolo
Joural of Elecrical Egieerig 5 (07) 3-4 doi: 0.765/38-3/07.05.00 D DVD PULSHNG Fillig he Teachig Gap bewee Elecromageics ad Circuis Massimo Ceraolo Uiversiy of Pisa, Pisa, aly bsrac: Elecrical egieers
More informationDiscrete-Time Signals and Systems. Introduction to Digital Signal Processing. Independent Variable. What is a Signal? What is a System?
Discree-Time Sigals ad Sysems Iroducio o Digial Sigal Processig Professor Deepa Kudur Uiversiy of Toroo Referece: Secios. -.4 of Joh G. Proakis ad Dimiris G. Maolakis, Digial Sigal Processig: Priciples,
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 informationNUMERICAL SIMULATION OF NANOSCALE DOUBLE-GATE MOSFETS
NUMEICAL SIMULAION OF NANOSCALE DOULE-AE MOSFES olad Sezel, Leif Müller, om Herrma, Wilfried Klix Dearme of Elecrical Egieerig Uiversiy of Alied Scieces Dresde Friedrich-Lis-Plaz, D-69 Dresde ermay ASAC
More informationA Note on Random k-sat for Moderately Growing k
A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics
More informationMANY-SERVER QUEUES WITH CUSTOMER ABANDONMENT: A SURVEY OF DIFFUSION AND FLUID APPROXIMATIONS
J Sys Sci Sys Eg (Mar 212) 21(1): 1-36 DOI: 1.17/s11518-12-5189-y ISSN: 14-3756 (Paper) 1861-9576 (Olie) CN11-2983/N MANY-SERVER QUEUES WITH CUSTOMER ABANDONMENT: A SURVEY OF DIFFUSION AND FLUID APPROXIMATIONS
More informationCOMBUSTION. TA : Donggi Lee ROOM: Building N7-2 #3315 TELEPHONE : 3754 Cellphone : PROF.
COMBUSIO ROF. SEUG WOOK BAEK DEARME OF AEROSACE EGIEERIG, KAIS, I KOREA ROOM: Buldng 7- #334 ELEHOE : 3714 Cellphone : 1-53 - 5934 swbaek@kast.a.kr http://proom.kast.a.kr A : Dongg Lee ROOM: Buldng 7-
More informationECE 350 Matlab-Based Project #3
ECE 350 Malab-Based Projec #3 Due Dae: Nov. 26, 2008 Read he aached Malab uorial ad read he help files abou fucio i, subs, sem, bar, sum, aa2. he wrie a sigle Malab M file o complee he followig ask for
More informationA note on deviation inequalities on {0, 1} n. by Julio Bernués*
A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly
More informationDETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION
U.P.B. ci. Bull. eries A Vol. 69 No. 7 IN 3-77 DETERMINATION OF PARTIULAR OLUTION OF NONHOMOGENEOU LINEAR DIFFERENTIAL EQUATION BY DIRETE DEONVOLUTION M. I. ÎRNU e preziă o ouă meoă e eermiare a soluţiilor
More informationSampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1
Samplig Example Le x = cos( 4π)cos( π). The fudameal frequecy of cos 4π fudameal frequecy of cos π is Hz. The ( f ) = ( / ) δ ( f 7) + δ ( f + 7) / δ ( f ) + δ ( f + ). ( f ) = ( / 4) δ ( f 8) + δ ( f
More informationThree Point Bending Analysis of a Mobile Phone Using LS-DYNA Explicit Integration Method
9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) Three Poi Bedig Aalysis o a Mobile Phoe Usig LS-DYNA Explici Iegraio Mehod Feixia Pa, Jiase Zhu, Ai O. Helmie, Rami Vaaparas NOKIA Ic. Absrac I
More informationEffects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band
MATEC We of Cofereces 7 7 OI:./ maeccof/77 XXVI R-S-P Semiar 7 Theoreical Foudaio of Civil Egieerig Effecs of Forces Applied i he Middle Plae o Bedig of Medium-Thickess Bad Adre Leoev * Moscow sae uiversi
More information