Broadband Constraint Based Simulated Annealing Impedance Inversion

Size: px
Start display at page:

Download "Broadband Constraint Based Simulated Annealing Impedance Inversion"

Transcription

1 Joural of Comuaoal Scece & Egeerg 8 (213) 3-34 Joural of Comuaoal Scece & Egeerg Avalable a h://wwwasocseorg SSN Broadbad Cosra Based Smulaed Aealg medace verso Guagxua Che 1, a, Yahu Du 1,b, Pae Q 2,c ad Le Zhag 3,d 1 Peole s Publc Secury Uversy of Cha, Bejg, Cha 2 Bejg Uversy of Poss ad Telecommucaos, Bejg, Cha 3 The Logscs Academy, Bejg, Cha Arcle formao Arcle hsory: Receved 26 July 213 Revsed 7 Augus 213 Acceed 2 Augus 213 Avalable ole 5 Seember 213 Keywords: Broadbad cosra Global omzao medace verso Smulaed aealg Absrac order o ehace he accuracy ad mroved he resoluo of he verso resul gas hydrae exlorao, hs aer roosed a ew verso mehod By roducg broadbad cosra based smulaed aealg medace verso, he ew mehod allows for a more exesve search for he omal soluo ad s more effce ha exhausve eumerao solvg global omzao roblems Comared o oher verso soluos as cosra sarse se verso ad model based verso, he ew mehod o oly solved he global omzao roblems, bu also mroved he resoluo of he rofles ad ehaced he verso accuracy, whch s helful o he laer erreao 1 roduco Sesmc wave medace verso s a effecve meas for reservor redco as here s a commedable corresodece bewee wave medace ad hydrocarbo reservor medace verso s acually a hyscal arameer medace of elmag he fluece brough by sesmc wavele ad maag he coeffces whch are furher used o calculae he hyscal chages of he sraa Corresodg auhor: a erccgx@163com, b dyh6889@gmalcom, c qae@gmalcom, d zxcv123o@163com 213 The Amerca Comuaoal Scece Socey All rghs reserved

2 Che e al / Joural of Comuaoal Scece & Egeerg 8 (213) There are may ways of medace verso The mos commoly adoed s geeralzed lear verso whch has hgher verso accuracy However, durg he verso, he hgh-frequecy ose ca brg grea fluece o solvg he morbd equaos; eve regularzao facors are added, he fluece ca be elmaed So, hs aer roosed broadbad cosra based smulaed aealg medace verso Smulaed aealg algorhm orgaed from he smulao of aealg rocess meallurgy, s a geerc robablsc meaheursc for he global omzao roblem of locag a good aroxmao o he global omum of a gve fuco a large search sace, esecally whe he search sace s dscree [1] value comared o eergy f of a radomly seleced o he model sace, e, f f f, he ew model wll be acceed ucodoally; f he f s a large value, e, f f f, he acceace robably of he ew model s ex( f / T ) Here, T s he corollg arameer As for a fxed emeraure, he es of acceace rocess wll be reeaed ul he objecve fuco s cosa As he acceace robably of heag s always greaer ha zero, he oeraor ca always reach o he global omum [3] 22 The secfc ses of smulaed aealg algorhm are as follows: Se 1: Secfy coolg schedule arameer 2 Smulaed Aealg Algorhm ad s Alcao Gas Hydrae Exlorao 21 Prcle of Smulaed Aealg Algorhm Smulaed aealg algorhm uses a se of arameers amed coolg schedule o corol s rocess ad oba he global omum soluo of he combaoral omzao roblem whe he corol arameer s coolg ad eds o zero Here, a soluo ad s objecve fuco of he omzao roblem are corresodg o a mcrosae ad s eergy E The descedg corol arameer s used o descrbe he emeraure T he rocess of aealg of he maeral Smulaed aealg algorhm s a adaao of he Merools-Hasgs algorhm [2] As for each whch clude he al value of he corollg arameer, aeuao fuco, fal value ad Maob cha legh L ; secfy al soluo of he erao f ( ) Se 2: Whe, carry ou L mes of searches accordg o he followg mehod: Geerae radom vecor Z (as for couous varable) or radom offse m (as for dscree varable) accordg o roery of he curre soluo o he eghbourhood, hereby oba he ew es Z, ( m m ), couous varable dscree varable (1) value of, he erao of geerag ew As for dscree varable, s he value sequece soluo- judgg- acce or abado s ogog ad m s he dscree locao of he curre ul reach he balace o uder ha soluo emeraure Geerae a radom umber G ha uformly Durg he rocess of smulaed aealg dsrbued o (, 1), calculae he raso algorhm, f he ew o s eergy f s a small robably P ha corresodg o Merools 213 The Amerca Comuaoal Scece Socey All rghs reserved

3 Che e al / Joural of Comuaoal Scece & Egeerg 8 (213) acceace rule uder curre erao o ad emeraure [2] 1, P ex ) ), ) ) (2) f dfferece of objecve fuco s less ha zero, e, f, he ew soluo wll be acceed, oherwse, reserve he curre soluo f he es searches s less ha L ) ), reur o se 1, oherwse go o se 3 Se 3: The curre soluo wll be used as aroxmae omal soluo f he ermao codo of he erao s sasfed, ad he he algorhm s comleed; oherwse, go o se 4 Se 4: Geerae ew emeraure corollg arameer 1 ad Maob cha legh L 1 accordg o he gve emeraure aeuao fuco, ad reur o se 2 for he balace o omzao of he ex emeraure o Smulaed Aealg Algorhm for medace verso The roagao of he sesmc wave he rasverse homogeeous acousc meda s a aroxmae covoluo model, as show Eq 3 S ( ) R( ) W ( ) d (3) Here, S() s wo-way ravel me sesmc race; model dcaes he relao bewee os-sac sesmc record ad uow model arameers, such as velocy, desy ad medace However, he acual sesmc daa s affeced by geomercal aeuao, vscoelasc absoro, wave dserso, as well as he loss of covered wave ad mulle reflecos Thereby, roer correcos are eeded o he acual sesmc daa he sesmc wave verso, low frequecy wave medace cosra ca reduce he o-uqueess of he soluo of he verso Here, we ca ado L1 model o esablsh objecve fuco, whch, he frs em s he absolue error bewee he acual sesmc race ad model sesmc race, he secod em s he absolue error bewee ror wave medace ad model wave medace ha eables verso resul close o he varao red of he low frequecy wave medace The objecve fuco s show Eq 4 So Sm So 1 W ( ) s sesmc wavele; R s sesmc refleco coeffce sequece Tycally, sesmc wavele s uow ad ca be obaed hrough varous mehods should be oed ha he covoluo 213 The Amerca Comuaoal Scece Socey All rghs reserved f Here, 1 1 m (4) So refers o he acual sesmc daa; Sm s he syhec sesmogram; s ror wave medace ad m s model wave medace The amlude of he sesmc wave mus be well mached wh he syhec sesmogram geeraed by loggg curves ad he objecve fuco mus be ormalzed before he verso A hs mome, he weghg facor s 1 The omzao rocess requres a fg sadard o esmae he qualy of each es model The oe ha ca mae he objecve fuco reach o global omum s he bes model Varous cosras ca be added o he model, hs s

4 Che e al / Joural of Comuaoal Scece & Egeerg 8 (213) esseal o reduce he o-uqueess of he soluo of he verso 3 Exermeal Resuls Aalyss order o exame he effec of he ew mehod roosed, we desged a seres of verso exermes The sesmc daa s acqured from a arge gas hydrae exlorao area he Souh Cha Sea Broadbad cosra based smulaed aealg verso covers he ow codos o secfc cosras, so as o corol he verso rocess The desged verso rocess s show Fgure 1 Here, we carred ou wo dffere versos o he daa acqured from he arge area, e, seudo-loggg medace ad medace whou loggg corol As for he frs verso, we ca oba seudo-loggg medace resul hrough smulaed aealg algorhm ha adoed al model; as for he secod verso whch s less deede o seudo-loggg daa ad more deede o sesmc daa, we ca drecly oba he verso resul hrough he calculao of he al model Fgure 2 ad Fgure 3 showed he rofles of hese wo versos of he es le he arge area Fg 1 Process of broadbad cosra based smulaed aealg medace verso Fg 2 Profle of seudo-loggg cosra medace of he es le order o reduce he o-uqueess ad ehace he sably of he soluo, ror medace formao ha adoed seudo-loggg curves ca be added o he algorhm as cosra em of he objecve fuco The cosra em ca comesae he mssg low frequecy formao of he bad-lmed sesmc daa The verso s called seudo-loggg verso f he cosra em s adoed or verso whou well corol f o adoed The al model ad sesmc wavele used broadbad cosra based smulaed aealg verso are he same as some oher verso mehods, such as cosra sarse se verso ad model based verso Fg 3 Profle of he medace whou loggg corol of he es le As ca be ow from he smulaed aealg medace verso resuls, rofle wh loggg daa (Fgure 2) refleced he hgh medace of he ossble gas hydrae reservor ad he low medace of he free gas; whle he rofle whou loggg daa (Fgure 3) ossesses hgher vercal resoluo ad ca reflecs he relave relao 213 The Amerca Comuaoal Scece Socey All rghs reserved

5 Che e al / Joural of Comuaoal Scece & Egeerg 8 (213) bewee he gas hydrae reservor ad he uer ad lower sraa, ad hus ca more fely reflec he occurrece ad saal dsrbuo of he gas hydrae solved he global omzao roblems, bu also ehaced he accuracy ad mroved he resoluo of he verso resuls uder he cosras 4 Cocluso Ths aer roduced he smulaed aealg algorhm o medace verso gas hydrae exlorao, where smulaed aealg s more effce ha exhausve eumerao Broadbad cosra based smulaed aealg verso allows for a more exesve search for he omal soluo Comared o cosra sarse se verso ad model based verso, o oly Refereces [1] S Krarc, CD Gela, MP Vecch, Scece, 22 (1983) [2] M Ncholas, WR Araa, The Joural of Chemcal Physcs, 21 (1953) [3] V Gravlle, M Krvae, JP Rasso, Smulaed Aealg: A roof of Covergece, EEE Trasacos o Paer Aalyss ad Mache ellgece, 16 (1994) The Amerca Comuaoal Scece Socey All rghs reserved

Comparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution

Comparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution Joural of Mahemacs ad Sascs 6 (2): 1-14, 21 ISSN 1549-3644 21 Scece Publcaos Comarso of he Bayesa ad Maxmum Lkelhood Esmao for Webull Dsrbuo Al Omar Mohammed Ahmed, Hadeel Salm Al-Kuub ad Noor Akma Ibrahm

More information

Chapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1)

Chapter 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 information

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-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 information

Fundamentals of Speech Recognition Suggested Project The Hidden Markov Model

Fundamentals 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 information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution 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 information

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction

Determination 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 information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. 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 information

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China,

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China, Mahemacal ad Compuaoal Applcaos Vol. 5 No. 5 pp. 834-839. Assocao for Scefc Research VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS Hoglag Lu Aguo Xao Yogxag Zhao School of Mahemacs

More information

Learning of Graphical Models Parameter Estimation and Structure Learning

Learning 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 information

IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS

IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS Vol.7 No.4 (200) p73-78 Joural of Maageme Scece & Sascal Decso IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS TIANXIANG YAO AND ZAIWU GONG College of Ecoomcs &

More information

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview Probably 1/19/ CS 53 Probablsc mehods: overvew Yashwa K. Malaya Colorado Sae Uversy 1 Probablsc Mehods: Overvew Cocree umbers presece of uceray Probably Dsjo eves Sascal depedece Radom varables ad dsrbuos

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The 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 information

Redundancy System Fault Sampling Under Imperfect Maintenance

Redundancy System Fault Sampling Under Imperfect Maintenance A publcao of CHEMICAL EGIEERIG TRASACTIOS VOL. 33, 03 Gues Edors: Erco Zo, Pero Barald Copyrgh 03, AIDIC Servz S.r.l., ISB 978-88-95608-4-; ISS 974-979 The Iala Assocao of Chemcal Egeerg Ole a: www.adc./ce

More information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm 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 information

The Linear Regression Of Weighted Segments

The Linear Regression Of Weighted Segments The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed

More information

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR 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 information

Continuous Time Markov Chains

Continuous 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 information

θ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:

θ = 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 information

(1) Cov(, ) E[( E( ))( E( ))]

(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 information

Nature and Science, 5(1), 2007, Han and Xu, Multi-variable Grey Model based on Genetic Algorithm and its Application in Urban Water Consumption

Nature and Science, 5(1), 2007, Han and Xu, Multi-variable Grey Model based on Genetic Algorithm and its Application in Urban Water Consumption Naure ad Scece, 5, 7, Ha ad u, ul-varable Grey odel based o Geec Algorhm ad s Applcao Urba Waer Cosumpo ul-varable Grey odel based o Geec Algorhm ad s Applcao Urba Waer Cosumpo Ha Ya*, u Shguo School of

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract Probably Bracke Noao ad Probably Modelg Xg M. Wag Sherma Vsual Lab, Suyvale, CA 94087, USA Absrac Ispred by he Drac oao, a ew se of symbols, he Probably Bracke Noao (PBN) s proposed for probably modelg.

More information

Moments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables

Moments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables Joural of Mahemacs ad Sascs 6 (4): 442-448, 200 SSN 549-3644 200 Scece Publcaos Momes of Order Sascs from Nodecally Dsrbued Three Parameers Bea ype ad Erlag Trucaed Expoeal Varables A.A. Jamoom ad Z.A.

More information

Numerical Methods for a Class of Hybrid. Weakly Singular Integro-Differential Equations.

Numerical Methods for a Class of Hybrid. Weakly Singular Integro-Differential Equations. Ale Mahemacs 7 8 956-966 h://www.scr.org/joural/am ISSN Ole: 5-7393 ISSN Pr: 5-7385 Numercal Mehos for a Class of Hybr Wealy Sgular Iegro-Dffereal Equaos Shhchug Chag Dearme of Face Chug Hua Uversy Hschu

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least 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 information

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD

Least 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 information

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral

More information

NUMERICAL EVALUATION of DYNAMIC RESPONSE

NUMERICAL 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 information

Solution set Stat 471/Spring 06. Homework 2

Solution 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 information

Density estimation. Density estimations. CS 2750 Machine Learning. Lecture 5. Milos Hauskrecht 5329 Sennott Square

Density estimation. Density estimations. CS 2750 Machine Learning. Lecture 5. Milos Hauskrecht 5329 Sennott Square Lecure 5 esy esmao Mlos Hauskrec mlos@cs..edu 539 Seo Square esy esmaos ocs: esy esmao: Mamum lkelood ML Bayesa arameer esmaes M Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Noaramerc

More information

FORCED VIBRATION of MDOF SYSTEMS

FORCED 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 information

The algebraic immunity of a class of correlation immune H Boolean functions

The algebraic immunity of a class of correlation immune H Boolean functions Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales

More information

A Recurrent Neural Network to Identify Efficient Decision Making Units in Data Envelopment Analysis

A Recurrent Neural Network to Identify Efficient Decision Making Units in Data Envelopment Analysis Avalable Ole a h://rm.srbau.ac.r Vol.1 No.3 Auum 15 Joural of Ne Researches Mahemacs Scece ad Research Brach (IAU) A Recurre Neural Neork o Idefy Effce Decso Makg Us Daa Evelome Aalyss A. Ghomash a G.

More information

Cyclone. Anti-cyclone

Cyclone. 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 information

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus Browa Moo Sochasc Calculus Xogzh Che Uversy of Hawa a Maoa earme of Mahemacs Seember, 8 Absrac Ths oe s abou oob decomoso he bascs of Suare egrable margales Coes oob-meyer ecomoso Suare Iegrable Margales

More information

-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for

-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for Assgme Sepha Brumme Ocober 8h, 003 9 h semeser, 70544 PREFACE I 004, I ed o sped wo semesers o a sudy abroad as a posgraduae exchage sude a he Uversy of Techology Sydey, Ausrala. Each opporuy o ehace my

More information

International Journal Of Engineering And Computer Science ISSN: Volume 5 Issue 12 Dec. 2016, Page No.

International Journal Of Engineering And Computer Science ISSN: Volume 5 Issue 12 Dec. 2016, Page No. www.jecs. Ieraoal Joural Of Egeerg Ad Compuer Scece ISSN: 19-74 Volume 5 Issue 1 Dec. 16, Page No. 196-1974 Sofware Relably Model whe mulple errors occur a a me cludg a faul correco process K. Harshchadra

More information

Integral Equations and their Relationship to Differential Equations with Initial Conditions

Integral Equations and their Relationship to Differential Equations with Initial Conditions Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp

More information

Optimal Eye Movement Strategies in Visual Search (Supplement)

Optimal Eye Movement Strategies in Visual Search (Supplement) Opmal Eye Moveme Sraeges Vsual Search (Suppleme) Jr Naemk ad Wlso S. Gesler Ceer for Percepual Sysems ad Deparme of Psychology, Uversy of exas a Aus, Aus X 787 Here we derve he deal searcher for he case

More information

For the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.

For 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

Pricing Asian Options with Fourier Convolution

Pricing Asian Options with Fourier Convolution Prcg Asa Opos wh Fourer Covoluo Cheg-Hsug Shu Deparme of Compuer Scece ad Iformao Egeerg Naoal Tawa Uversy Coes. Iroduco. Backgroud 3. The Fourer Covoluo Mehod 3. Seward ad Hodges facorzao 3. Re-ceerg

More information

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc

More information

The Poisson Process Properties of the Poisson Process

The 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 information

Machine Learning. Hidden Markov Model. Eric Xing / /15-781, 781, Fall Lecture 17, March 24, 2008

Machine Learning. Hidden Markov Model. Eric Xing / /15-781, 781, Fall Lecture 17, March 24, 2008 Mache Learg 0-70/5 70/5-78 78 Fall 2008 Hdde Marov Model Erc Xg Lecure 7 March 24 2008 Readg: Cha. 3 C.B boo Erc Xg Erc Xg 2 Hdde Marov Model: from sac o damc mure models Sac mure Damc mure Y Y Y 2 Y 3

More information

The Optimal Combination Forecasting Based on ARIMA,VAR and SSM

The Optimal Combination Forecasting Based on ARIMA,VAR and SSM Advaces Compuer, Sgals ad Sysems (206) : 3-7 Clausus Scefc Press, Caada The Opmal Combao Forecasg Based o ARIMA,VAR ad SSM Bebe Che,a, Mgya Jag,b* School of Iformao Scece ad Egeerg, Shadog Uversy, Ja,

More information

Multiphase Flow Simulation Based on Unstructured Grid

Multiphase Flow Simulation Based on Unstructured Grid 200 Tuoral School o Flud Dyamcs: Topcs Turbulece Uversy of Marylad, May 24-28, 200 Oule Bacgroud Mulphase Flow Smulao Based o Usrucured Grd Bubble Pacg Mehod mehod Based o he Usrucured Grd Remar B CHEN,

More information

An Optimized FPN Network Attack Model Based on. Improved Ant Colony Algorithm

An Optimized FPN Network Attack Model Based on. Improved Ant Colony Algorithm 3rd Ieraoal Coferece o Mecharocs ad Idusral Iformacs (ICMII 5) A Omzed FPN Newor Aac Model Based o Imroved A Coloy Algorhm Hul Wu,a, Weua Wu,b* Hebe Academy of Sceces Isue of Aled Mahemacs, Shazhuag 58

More information

14. Poisson Processes

14. 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 information

COMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION

COMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION COMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION Eldesoky E. Affy. Faculy of Eg. Shbee El kom Meoufa Uv. Key word : Raylegh dsrbuo, leas squares mehod, relave leas squares, leas absolue

More information

BILINEAR GARCH TIME SERIES MODELS

BILINEAR GARCH TIME SERIES MODELS BILINEAR GARCH TIME SERIES MODELS Mahmoud Gabr, Mahmoud El-Hashash Dearme of Mahemacs, Faculy of Scece, Alexadra Uversy, Alexadra, Egy Dearme of Mahemacs ad Comuer Scece, Brdgewaer Sae Uversy, Brdgewaer,

More information

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad

More information

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period. ublc Affars 974 Meze D. Ch Fall Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he Effce Markes Hypohess (rev d //) The rese Value Model Approach o Asse rcg The exbook expresses he sock prce

More information

Efficient Estimators for Population Variance using Auxiliary Information

Efficient 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 information

A Comparison of AdomiansDecomposition Method and Picard Iterations Method in Solving Nonlinear Differential Equations

A Comparison of AdomiansDecomposition Method and Picard Iterations Method in Solving Nonlinear Differential Equations Global Joural of Scece Froer Research Mahemacs a Decso Sceces Volume Issue 7 Verso. Jue Te : Double Bl Peer Revewe Ieraoal Research Joural Publsher: Global Jourals Ic. (USA Ole ISSN: 49-466 & Pr ISSN:

More information

Development of Hybrid-Coded EPSO for Optimal Allocation of FACTS Devices in Uncertain Smart Grids

Development of Hybrid-Coded EPSO for Optimal Allocation of FACTS Devices in Uncertain Smart Grids Avalable ole a www.scecedrec.com Proceda Compuer Scece 6 (011) 49 434 Complex Adapve Sysems, Volume 1 Cha H. Dagl, Edor Chef Coferece Orgazed by ssour Uversy of Scece ad Techology 011- Chcago, IL Developme

More information

Partial Molar Properties of solutions

Partial 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 information

RATIO ESTIMATORS USING CHARACTERISTICS OF POISSON DISTRIBUTION WITH APPLICATION TO EARTHQUAKE DATA

RATIO ESTIMATORS USING CHARACTERISTICS OF POISSON DISTRIBUTION WITH APPLICATION TO EARTHQUAKE DATA The 7 h Ieraoal as of Sascs ad Ecoomcs Prague Sepember 9-0 Absrac RATIO ESTIMATORS USING HARATERISTIS OF POISSON ISTRIBUTION WITH APPLIATION TO EARTHQUAKE ATA Gamze Özel Naural pulaos bolog geecs educao

More information

Mixed Integral Equation of Contact Problem in Position and Time

Mixed Integral Equation of Contact Problem in Position and Time Ieraoal Joural of Basc & Appled Sceces IJBAS-IJENS Vol: No: 3 ed Iegral Equao of Coac Problem Poso ad me. A. Abdou S. J. oaquel Deparme of ahemacs Faculy of Educao Aleadra Uversy Egyp Deparme of ahemacs

More information

Optimized Calculation of Hourly Price Forward Curve (HPFC)

Optimized Calculation of Hourly Price Forward Curve (HPFC) World Academy of Scece, Egeerg ad Techology Ieraoal Joural of Elecrcal ad Comuer Egeerg Vol:, No:9, 008 Omzed Calculao of Hourly Prce Forward Curve (HPFC) Ahmed Abdolkhalg Ieraoal Scece Idex, Elecrcal

More information

FALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.

FALL 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 information

Research on portfolio model based on information entropy theory

Research on portfolio model based on information entropy theory Avalable ole www.jocpr.com Joural of Chemcal ad Pharmaceucal esearch, 204, 6(6):286-290 esearch Arcle ISSN : 0975-7384 CODEN(USA) : JCPC5 esearch o porfolo model based o formao eropy heory Zhag Jusha,

More information

Modified Integrated Multi-Point Approximation And GA Used In Truss Topology Optimization

Modified Integrated Multi-Point Approximation And GA Used In Truss Topology Optimization Joural of Muldscplary Egeerg Scece ad echology (JMES) Vol. 4 Issue 6, Jue - 2017 Modfed Iegraed Mul-Po Appromao Ad GA sed I russ opology Opmzao Adurahma M. Hasse 1, Mohammed A. Ha 2 Mechacal ad Idusral

More information

Real-time Classification of Large Data Sets using Binary Knapsack

Real-time Classification of Large Data Sets using Binary Knapsack Real-me Classfcao of Large Daa Ses usg Bary Kapsack Reao Bru bru@ds.uroma. Uversy of Roma La Sapeza AIRO 004-35h ANNUAL CONFERENCE OF THE ITALIAN OPERATIONS RESEARCH Sepember 7-0, 004, Lecce, Ialy Oule

More information

Optimal control for multi-input bilinear systems with an application in cancer chemotherapy.

Optimal control for multi-input bilinear systems with an application in cancer chemotherapy. Ieraoal Joural of Scefc ad Iovave Mahemacal Research (IJSIMR) Volume 3, Issue 2, February 2015, PP 22-31 ISSN 2347-307X (Pr) & ISSN 2347-3142 (Ole) www.arcjourals.org Omal corol for mul-u blear sysems

More information

4. THE DENSITY MATRIX

4. 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 information

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3

More information

Density estimation III.

Density estimation III. Lecure 4 esy esmao III. Mlos Hauskrec mlos@cs..edu 539 Seo Square Oule Oule: esy esmao: Mamum lkelood ML Bayesa arameer esmaes MP Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Eoeal

More information

AN INCREMENTAL QUASI-NEWTON METHOD WITH A LOCAL SUPERLINEAR CONVERGENCE RATE. Aryan Mokhtari Mark Eisen Alejandro Ribeiro

AN INCREMENTAL QUASI-NEWTON METHOD WITH A LOCAL SUPERLINEAR CONVERGENCE RATE. Aryan Mokhtari Mark Eisen Alejandro Ribeiro AN INCREMENTAL QUASI-NEWTON METHOD WITH A LOCAL SUPERLINEAR CONVERGENCE RATE Arya Mokhar Mark Ese Alejadro Rbero Deparme of Elecrcal ad Sysems Egeerg, Uversy of Pesylvaa ABSTRACT We prese a cremeal Broyde-Flecher-Goldfarb-Shao

More information

Three Main Questions on HMMs

Three Main Questions on HMMs Mache Learg 0-70/5-78 78 Srg 00 Hdde Marov Model II Erc Xg Lecure Februar 4 00 Readg: Cha. 3 CB Three Ma Quesos o HMMs. Evaluao GIVEN a HMM M ad a sequece FIND Prob M ALGO. Forward. Decodg GIVEN a HMM

More information

Density estimation III.

Density 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 information

Mathematical Formulation

Mathematical 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

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)

Quantum 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 information

The Properties of Probability of Normal Chain

The Properties of Probability of Normal Chain I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co

More information

Available online Journal of Scientific and Engineering Research, 2014, 1(1): Research Article

Available online  Journal of Scientific and Engineering Research, 2014, 1(1): Research Article Avalable ole wwwjsaercom Joural o Scec ad Egeerg Research, 0, ():0-9 Research Arcle ISSN: 39-630 CODEN(USA): JSERBR NEW INFORMATION INEUALITIES ON DIFFERENCE OF GENERALIZED DIVERGENCES AND ITS APPLICATION

More information

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period. coomcs 435 Meze. Ch Fall 07 Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he ffce Markes Hypohess The rese Value Model Approach o Asse rcg The exbook expresses he sock prce as he prese dscoued

More information

McMaster University. Advanced Optimization Laboratory. Authors: Dinghui Yang, Ming Lu, Rushan Wu and Jiming Peng

McMaster University. Advanced Optimization Laboratory. Authors: Dinghui Yang, Ming Lu, Rushan Wu and Jiming Peng McMaser versy Advaced Opmao Laboraory Tle: A Opmal Nearly-Aalyc Dscree Mehod for D Acousc ad Elasc Wave Equaos Auhors: Dghu Yag Mg Lu Rusha Wu ad Jmg Peg AdvOl-Repor No. 004/9 July 004 Hamlo Oaro Caada

More information

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs

More information

Abstract. Keywords: Mutation probability, evolutionary computation, optimization, sensitivity, variability. 1. Introduction. 2. Proposed Algorithm

Abstract. Keywords: Mutation probability, evolutionary computation, optimization, sensitivity, variability. 1. Introduction. 2. Proposed Algorithm EgOp 2008 Ieraoal Coferece o Egeerg Opmzao Ro de Jaero, Brazl, 01-05 Jue 2008. Absrac Redefg Muao Probables for Evoluoary Opmzao Problems Raja Aggarwal Faculy of Egeerg ad Compuer Scece Cocorda Uversy,

More information

Voltage Sensitivity Analysis in MV Distribution Networks

Voltage Sensitivity Analysis in MV Distribution Networks Proceedgs of he 6h WSEAS/IASME I. Cof. o Elecrc Power Sysems, Hgh olages, Elecrc Maches, Teerfe, Spa, December 6-8, 2006 34 olage Sesvy Aalyss M Dsrbuo Neworks S. CONTI, A.M. GRECO, S. RAITI Dparmeo d

More information

Reliability Analysis of Sparsely Connected Consecutive-k Systems: GERT Approach

Reliability Analysis of Sparsely Connected Consecutive-k Systems: GERT Approach Relably Aalyss of Sparsely Coece Cosecuve- Sysems: GERT Approach Pooa Moha RMSI Pv. L Noa-2131 poalovely@yahoo.com Mau Agarwal Deparme of Operaoal Research Uversy of Delh Delh-117, Ia Agarwal_maulaa@yahoo.com

More information

Regression Approach to Parameter Estimation of an Exponential Software Reliability Model

Regression Approach to Parameter Estimation of an Exponential Software Reliability Model Amerca Joural of Theorecal ad Appled Sascs 06; 5(3): 80-86 hp://www.scecepublshggroup.com/j/ajas do: 0.648/j.ajas.060503. ISSN: 36-8999 (Pr); ISSN: 36-9006 (Ole) Regresso Approach o Parameer Esmao of a

More information

Fourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems

Fourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 29-765X. Volume, Issue 2 Ver. II (Mar. - Apr. 27), PP 4-5 www.osrjourals.org Fourh Order Ruge-Kua Mehod Based O Geomerc Mea for Hybrd Fuzzy

More information

Improved Adaptive Genetic Algorithm and Its Application in Short-Term Optimal Operation of Cascade Hydropower Stations

Improved Adaptive Genetic Algorithm and Its Application in Short-Term Optimal Operation of Cascade Hydropower Stations Commucaos ormao Scece ad Maageme Egeerg Mar. 213 Vol. 3 ss. 3 PP. 167-174 mroved Adave Geec Algorhm ad s Alcao Shor-Term Omal Oerao o Cascade Hydroower Saos Jao heg 1 a Yag *2 Ra hou 3 Yoghua Hao 4 Guoshua

More information

Modeling of the linear time-variant channel. Sven-Gustav Häggman

Modeling of the linear time-variant channel. Sven-Gustav Häggman Moelg of he lear me-vara chael Sve-Gusav Häggma 2 1. Characerzao of he lear me-vara chael 3 The rasmsso chael (rao pah) of a rao commucao sysem s mos cases a mulpah chael. Whe chages ae place he propagao

More information

Final Exam Applied Econometrics

Final 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 information

Chapter 8. Simple Linear Regression

Chapter 8. Simple Linear Regression Chaper 8. Smple Lear Regresso Regresso aalyss: regresso aalyss s a sascal mehodology o esmae he relaoshp of a respose varable o a se of predcor varable. whe here s jus oe predcor varable, we wll use smple

More information

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling Vplav Kumar gh Rajeh gh Deparme of ac Baara Hdu Uver Varaa-00 Ida Flore maradache Uver of ew Meco Gallup UA ome Improved Emaor for Populao Varace Ug Two Aular Varable Double amplg Publhed : Rajeh gh Flore

More information

Explanation for Edge Bending of Glass in Tempering Furnace

Explanation for Edge Bending of Glass in Tempering Furnace xlaao or dge Bedg o Glass emerg Furace A Aroe, Reo Karve amere Uversy o echology Keywords: 1 = Glass emerg = Roller waves 3 = Qualy Absrac Good vsual qualy s o grea morace emered glass. Roller waves ad

More information

Model for Optimal Management of the Spare Parts Stock at an Irregular Distribution of Spare Parts

Model for Optimal Management of the Spare Parts Stock at an Irregular Distribution of Spare Parts Joural of Evromeal cece ad Egeerg A 7 (08) 8-45 do:0.765/6-598/08.06.00 D DAVID UBLIHING Model for Opmal Maageme of he pare ars ock a a Irregular Dsrbuo of pare ars veozar Madzhov Fores Research Isue,

More information

Geometric Modeling

Geometric Modeling Geomerc Modelg 9.58. Crves coed Cc Bezer ad B-Sle Crves Far Chaers 4-5 8 Moreso Chaers 4 5 4 Tycal Tyes of Paramerc Crves Corol os flece crve shae. Ierolag Crve asses hrogh all corol os. Herme Defed y

More information

EE 6885 Statistical Pattern Recognition

EE 6885 Statistical Pattern Recognition EE 6885 Sascal Paer Recogo Fall 005 Prof. Shh-Fu Chag hp://www.ee.columba.edu/~sfchag Lecure 5 (9//05 4- Readg Model Parameer Esmao ML Esmao, Chap. 3. Mure of Gaussa ad EM Referece Boo, HTF Chap. 8.5 Teboo,

More information

Common MidPoint (CMP) Records and Stacking

Common MidPoint (CMP) Records and Stacking Evromeal ad Explorao Geophyscs II Commo MdPo (CMP) Records ad Sackg om.h.wlso om.wlso@mal.wvu.edu Deparme of Geology ad Geography Wes rga Uversy Morgaow, W Commo Mdpo (CMP) gaher, also ofe referred o as

More information

The Bernstein Operational Matrix of Integration

The Bernstein Operational Matrix of Integration Appled Mahemacal Sceces, Vol. 3, 29, o. 49, 2427-2436 he Berse Operaoal Marx of Iegrao Am K. Sgh, Vee K. Sgh, Om P. Sgh Deparme of Appled Mahemacs Isue of echology, Baaras Hdu Uversy Varaas -225, Ida Asrac

More information

Stabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin

Stabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin Egeerg Leers, 4:2, EL_4_2_4 (Advace ole publcao: 6 May 27) Sablzao of LTI Swched Sysems wh Ipu Tme Delay L L Absrac Ths paper deals wh sablzao of LTI swched sysems wh pu me delay. A descrpo of sysems sablzao

More information

Linear Regression Linear Regression with Shrinkage

Linear Regression Linear Regression with Shrinkage Lear Regresso Lear Regresso h Shrkage Iroduco Regresso meas predcg a couous (usuall scalar oupu from a vecor of couous pus (feaures x. Example: Predcg vehcle fuel effcec (mpg from 8 arbues: Lear Regresso

More information

A New Algorithm about Market Demand Prediction of Automobile

A New Algorithm about Market Demand Prediction of Automobile Ieraoal Joural of areg Sudes; Vol. 6, No. 4; 04 ISSN 98-79X E-ISSN 98-703 Publshed by Caada Ceer of Scece ad Educao A New Algorhm abou are Demad Predco of Auomoble Zhmg Zhu, Tao Che & Tamao She Busess

More information

Computer Life (CPL) ISSN: Research on IOWHA Operator Based on Vector Angle Cosine

Computer Life (CPL) ISSN: Research on IOWHA Operator Based on Vector Angle Cosine Copuer Lfe (CPL) ISS: 1819-4818 Delverg Qualy Scece o he World Research o IOWHA Operaor Based o Vecor Agle Cose Megg Xao a, Cheg L b Shagha Uversy of Egeerg Scece, Shagha 0160, Cha a x18065415@163.co,

More information

March 14, Title: Change of Measures for Frequency and Severity. Farrokh Guiahi, Ph.D., FCAS, ASA

March 14, Title: Change of Measures for Frequency and Severity. Farrokh Guiahi, Ph.D., FCAS, ASA March 4, 009 Tle: Chage of Measures for Frequecy ad Severy Farroh Guah, Ph.D., FCAS, ASA Assocae Professor Deare of IT/QM Zarb School of Busess Hofsra Uversy Hesead, Y 549 Eal: Farroh.Guah@hofsra.edu Phoe:

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A, OF THE ROMANIAN ACADEMY Volume 0, Number /009,. 000-000 ON ZALMAI EMIPARAMETRIC DUALITY MODEL FOR MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH

More information

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision Frs Jo Cogress o Fuzzy ad Iellge Sysems Ferdows Uversy of Mashhad Ira 9-3 Aug 7 Iellge Sysems Scefc Socey of Ira Solvg fuzzy lear programmg problems wh pecewse lear membershp fucos by he deermao of a crsp

More information