Quarter-Sweep Arithmetic Mean (QSAM) Iterative. Method for Second Kind Linear Fredholm Integral. Equations

Size: px
Start display at page:

Download "Quarter-Sweep Arithmetic Mean (QSAM) Iterative. Method for Second Kind Linear Fredholm Integral. Equations"

Transcription

1 Aled Mathematcal Sceces Vol. 4 o Quarter-Swee Arthmetc Mea () Iteratve Method for Secod d ear Fredholm Itegral Equatos M. S. Muthuvalu School of Scece ad Techology Uverst Malaysa Saah oced ag ota aalu Saah Malaysa J. Sulama School of Scece ad Techology Uverst Malaysa Saah oced ag ota aalu Saah Malaysa umat@ums.edu.my Astract I ths aer we cosder the umercal solutos of lear Fredholm tegral equatos of the secod d. The Quarter-Swee Arthmetc Mea () teratve method s aled to solve lear systems geerated from dscretzato of the secod d lear Fredholm tegral equatos usg quadrature method. I addto the formulato ad mlemetato of the roosed method to solve the rolem are also reseted. Numercal eamles ad comarsos wth other estg methods are gve to llustrate the effectveess of the roosed method. Mathematcs Suect Classfcato: 4A55 45A F 65Y eywords: ear Fredholm equatos Quarter-swee terato Quadrature Arthmetc Mea

2 944 M. S. Muthuvalu ad J. Sulama Itroducto Cosder the soluto of lear system A () C s a osgular matr ad where A ad are vectors of order. The classcal teratve methods roceed y solvg at each ste a smler lear system duced y a slttg of coeffcet matr A to A M N (M s osgular). The the assocated teratve scheme s of the form ( ) ( ) M N M () where M N s called the terato matr of the method. It s well ow that () coverges for all vectors ( ) to the soluto of () f ad oly f the sectral ρ M N [9]. radus ( ) < O the other had the two-stage teratve method whch s called er/outer teratve scheme was frst troduced y Nchols [6]. Two-stage teratve methods cosst of aromatg the lear system () y usg aother teratve rocedure (er teratos). More secfcally cosder the slttg M F G ad erform s ( ) er teratos each outer ste. Thus the resultg method s ( ) ( N ) ( ) ( ) ( ) s ( ) ( ) s F G ( F G) F Whe the umer of er teratos ( ). (3) s for a two-stage method s fed each of the outer stes we call the statoary two-stage method whle a ostatoary two-stage method s such that the umer of er teratos may chage wth the outer terato [5]. Actually there are may two-stage teratve methods ca e cosdered such as the Alteratg Grou Elct (AGE) [4] Iteratve Alteratg Decomosto Elct (IADE) [] Reduced Iteratve Alteratg Decomosto Elct (RIADE) [] loc Jaco [] ad Arthmetc Mea (AM) [] methods. The stadard AM method also amed as the Full-Swee Arthmetc Mea () method has ee modfed y comg the cocet of the half-swee teratve method ad the called as the Half-Swee Arthmetc Mea () method [3]. The cocet of the half-swee teratve method s troduced va the Elct Decouled Grou (EDG) teratve method for solvg two-dmesoal Posso equato []. I [4] Sulama et al. roosed aother varat of AM method Quarter-Swee Arthmetc Mea (). The teratve method s derved y comg the stadard AM wth quarter-swee teratve [7] method. The asc dea of the half- ad quarter-swee teratve methods s to reduce the \

3 Quarter-swee arthmetc mea teratve method 945 comutatoal comletes durg terato rocess. Sce the mlemetato of the half- ad quarter-swee teratos wll oly cosder early half ad quarter of all teror ode ots a soluto doma resectvely. I ths aer the erformace of the ad wll e vestgated solvg dese lear system geerated y the dscretzato of the secod d lear Fredholm tegral equatos usg quadrature method. Geerally lear secod d tegral equatos of Fredholm tye the stadard form ca e defed as follows ( y) ( y ( dt ( y) Γ Γ [ αβ ] (4) where the arameter erel ( y [ α β ] [ α β ] ad free term ( y) [ α β ] are gve ad (y) s the uow fucto to e determed. The erel fucto ( y s assumed to e asolutely tegrale ad satsfy other roertes that are suffcet to mly the Fredholm alteratve theorem. Theorem (Fredholm alteratve) [3] et χ e a aach sace ad let κ : χ χ e comact. The the equato ( κ ) has a uque soluto χ f ad oly f the homogeeous equato ( κ ) z has oly the trval soluto z. I such a case the oerator κ : χ χ oto Defto (Comact oerators) [3] et χ ad Υ e ormed vector sace ad let s comact f the set κ y y y has a ouded verse ( ) { } κ. κ : χ Υ e lear. The κ has comact closure Υ. Ths s equvalet to sayg that for every ouded sequece { y } χ the sequece { κ y } has a susequece that s coverget to some ots Υ. Comact oerators are also called comletely cotuous oerators. The outle of ths aer s orgazed followg way. I Secto the formulato of the full- half- ad quarter-swee quadrature aromato equatos wll e elaorated. The latter secto of ths aer wll dscuss the formulatos of the ad methods ad some umercal results wll e show fourth secto to assert the erformace of the teratve methods. esdes that aalyss o comutatoal comlety s metoed Secto 5 ad the cocludg remars are gve fal secto.

4 946 M. S. Muthuvalu ad J. Sulama Quadrature Aromato Equatos As afore-metoed a dscretzato scheme ased o method of quadrature was used to costruct aromato equatos for rolem (). Geerally quadrature method ca e defed as follows β α () t dt ( t ) ε ( ) where t ( ) tegrato terval [ α β ] ( ) ot deed o the fucto ( ad ( ) s the ascssas of the artto ots of the (5) s umercal coeffcets that do ε s the trucato error of Eq. (3). Meawhle Fg. shows the fte grd etwors order to form the full- halfad quarter-swee quadrature aromato equatos. a) ) c) Fgure : a) ) ad c) show dstruto of uform ode ots for the full- halfad quarter-swee cases resectvely. ased o Fg. the full- half- ad quarter-swee teratve methods wll comute aromate values oto ode ots of tye oly utl the covergece crtero s reached. The other aromate solutos at remag ots (ots of the dfferet tye) ca e comuted usg the drect method [ 7 3 4]. y alyg Eq. (5) to Eq. (4) ad eglectg the error ε ( ) lear equatos ca e formed for aromato values of ( () where h h h a system of as show Eq.

5 Quarter-swee arthmetc mea teratve method 947 A M O M M M [ ] T ad [ ] T. I order to facltate the formulato of the full- half- ad quarter-swee quadrature aromato equatos for rolem () further dscusso wll e restrcted oto reeated traezodal (RT) scheme whch s ased o lear terolato formula wth equally saced data. ased o RT scheme umercal coeffcet wll satsfy the followg relato otherwse h h (6) where the costat ste sze h s defed as follows h β α (7) ad s the umer of sutervals the terval [ ] β α. Meawhle the value of whch corresods to ad 4 reresets the full- half- ad quarter-swee cases resectvely. 3 Arthmetc Mea teratve methods As stated revous secto AM methods are oe of the two-stage teratve methods ad the teratve rocess volves of solvg two deedet systems such as ad. To develo the formulato of AM methods let the coeffcet matr A e eressed as the matr sum U D A (8) where D ad U are the strctly lower tragular dagoal ad strctly uer tragular matrces resectvely. Thus y addg ostve accelerato arameter the geeral scheme for ad methods s defed y

6 948 M. S. Muthuvalu ad J. Sulama ( ) ( ) ( ) ( ) ( ) ) ( ) ( ) ( ) ( ) ( D U D U D D (9) where () s a tal vector aromato to the soluto ad < <. The AM methods requre a slght addtoal comutatoal effort of the sum of two matrces at each terato ut ts rate of covergece s relatvely sestve to the eact choce of the arameter []. Practcally the value of wll e determed y mlemetg some comuter rograms ad the choose oe value of where ts umer of teratos s the smallest. y determg values of matrces D ad U as stated Eq. (8) the geeral algorthm for ad teratve methods to solve rolem (4) would e geerally descred Algorthm. Algorthm : ad schemes ) evel () For ad Calculate ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) others ) evel () For ad Calculate ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) others ) For

7 Quarter-swee arthmetc mea teratve method 949 Calculate ( ) ( ) The ad algorthms are elctly erformed y usg all equatos at level () ad () alteratvely utl the secfed covergece crtero s satsfed. Geerally the asc dea for the covergece aalyss of the AM methods has ee rove y []. 4 Numercal Results I order to comare the erformaces of the teratve methods descred the revous secto several umercal eermets were carred out o the followg two Fredholm tegral equatos. Eamle [5] Cosder the Fredholm tegral equato of the secod d ( y) y (4yt y ) ( dt y () ad the eact soluto s gve y ( y) 4y 9y. Eamle [8] Cosder the Fredholm tegral equato of the secod d ( y 6 3 ( y) y 5y y t ) ( dt y () wth the eact soluto ( y) y 5y y y There are three arameters cosdered umercal comarso such as umer of teratos eecuto tme ad mamum asolute error. As comarsos the Full-Swee Gauss-Sedel () method acts as the cotrol of comarso of umercal results. Throughout the smulatos the covergece test cosdered the tolerace error ε. The smulatos were carred out o several mesh szes ad 893. Results of umercal smulatos whch were otaed from mlemetatos of the ad teratve methods for Eamles ad have ee recorded Tales ad resectvely.

8 95 M. S. Muthuvalu ad J. Sulama Tale : Comarso of a umer of teratos eecuto tme ad mamum asolute error for the teratve methods at otmum value of (Eamle ) Numer of teratos Mesh sze Eecuto tme (secods) Mesh sze Mamum asolute error Mesh sze E E E-6.73 E E E E-4.73 E E E E-4.73 E E E E E-3.83 E E E E-5 5 Comutatoal Comlety Aalyss I order to measure the comutatoal comlety of the ad methods a estmato amout of the comutatoal wor requred for teratve methods have ee coducted. The comutatoal wor s estmated y cosderg the arthmetc oeratos erformed er terato. ased o Algorthm t ca e oserved that there are 7 addtos/sutractos (ADD/SU) 4 ad 9 multlcatos/dvsos (MU/DIV) comutg a value for each ode ot the soluto doma for secod d lear Fredholm tegral equatos. From the order of the coeffcet matr A the total umer of arthmetc oeratos er terato for the ad teratve methods for solvg Eq. (4) has ee summarzed Tale 3.

9 Quarter-swee arthmetc mea teratve method 95 Tale : Comarso of a umer of teratos eecuto tme ad mamum asolute error for the teratve methods at otmum value of (Eamle ) Numer of teratos Mesh sze Eecuto tme (secods) Mesh sze Mamum asolute error Mesh sze E E E-6.94 E E E E-4.84 E E-5.48 E E-4.84 E E E-4.48 E E E E E E-5 Tale 3: Total umer of arthmetc oeratos er terato for ad methods Arthmetc Oerato ADD/SU MU/DIV Coclusos I ths aer we reset a alcato of the teratve method for solvg dese lear systems arsg from the dscretzato of the secod d

10 95 M. S. Muthuvalu ad J. Sulama lear Fredholm tegral equatos y usg RT scheme. Through umercal results otaed Tales ad t clearly shows that y alyg the AM methods ca reduce umer of teratos comared to the method. I terms of eecuto tme for oth eamles t ca e cocluded that ad methods are much faster tha method (refer Tales ad ). Reducto ercetage of the eecuto tme for ad methods comared wth method have ee summarzed Tale 4. The accuracy of the teratve methods s also good agreemet. Tale 4: Reducto ercetage of the eecuto tme for ad methods comared to the method Eamle % % % % % % Overall the umercal results show that the method s a etter method comared to the ad methods the sese of umer of teratos ad eecuto tme. Ths s maly ecause of comutatoal comlety of the method whch s aromately 5% ad 75% less tha ad methods resectvely (refer Tale 3). Refereces [] A. R. Adullah The four ot Elct Decouled Grou (EDG) method: A fast Posso solver Iteratoal Joural of Comuter Mathematcs 38 (99) 6-7. [] T. Allahvraloo E. Ahmady N. Ahmady ad. S. Aletay loc Jaco two-stage method wth Gauss-Sdel er teratos for fuzzy system of lear equatos Aled Mathematcs ad Comutato 75 (6) 7-8. [3]. E. Atso The Numercal Soluto of Itegral Equatos of the Secod d Camrdge Uversty Press Uted gdom 997. [4] D. J. Evas The Alteratg Grou Elct (AGE) matr teratve method Aled Mathematcal Modellg (4) (987) [5] Z. -Y. u H. -. Wu ad. The two-stage teratve methods for symmetrc ostve defte matrces Aled Mathematcs ad Comutato 4 () -. [6] N.. Nchols O the covergece of two-stage teratve rocess for solvg lear equatos SIAM Joural o Numercal Aalyss (973)

11 Quarter-swee arthmetc mea teratve method 953 [7] M. Othma ad A. R. Adullah A effcet Four Pot Modfed Elct Grou Posso solver Iteratoal Joural of Comuter Mathematcs 76 () 3-7. [8] A. D. Polya ad A. V. Mazhrov Hadoo of Itegral Equatos CRC Press C Florda 998. [9] A. Quartero R. Sacco ad F. Saler Numercal Mathematcs Srger-Verlag New Yor. [] V. Ruggero ad E. Gallga A teratve method for large sarse systems o a vector comuter Comuters & Mathematcs wth Alcatos () (99) 5-8. [] M. S. Sahm A. Ahmad ad A. A. aar The Iteratve Alteratg Decomosto Elct (IADE) method to solve the heat coducto equato Iteratoal Joural of Comuter Mathematcs 47 (993) 9-9. [] M. S. Sahm ad M. hatm The Reduced Iteratve Alteratg Decomosto Elct (RIADE) method for dffuso equato Pertaa Joural of Scece ad Techology 9() () 3-. [3] J. Sulama M. Othma ad M.. Hasa A ew Half-Swee Arthmetc Mea () algorthm for two-ot oudary value rolems. Proceedgs of the Iteratoal Coferece o Statstcs ad Mathematcs ad Its Alcatos Develomet of Scece ad Techology [4] J. Sulama M. Othma ad M.. Hasa A ew Quarter Swee Arthmetc Mea () method to solve dffuso equatos Chamchur Joural of Mathematcs () (9) [5] W. Wag A ew mechacal algorthm for solvg the secod d of Fredholm tegral equato Aled Mathematcs ad Comutato 7 (6) Receved: Jauary

Australian Journal of Basic and Applied Sciences. Full-Sweep SOR Iterative Method to Solve Space-Fractional Diffusion Equations

Australian Journal of Basic and Applied Sciences. Full-Sweep SOR Iterative Method to Solve Space-Fractional Diffusion Equations Australa Joural of Basc ad Aled Sceces, 8(4) Secal 14, Paes: 153-158 AENSI Jourals Australa Joural of Basc ad Aled Sceces ISSN:1991-8178 Joural home ae: www.abasweb.com Full-Swee SOR Iteratve Method to

More information

An Iterative Solution for Second Order Linear Fredholm Integro-Differential Equations

An Iterative Solution for Second Order Linear Fredholm Integro-Differential Equations Malasa Joural of Matematcal Sceces 8): 57-7 4) MLYSIN JOURNL OF MTHEMTICL SCIENCES Joural omeage: tt://esem.um.edu.m/oural Iteratve Soluto for Secod Order Lear Fredolm Itegro-Dfferetal Equatos * Elaaraa

More information

2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America

2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America SOLUTION OF SYSTEMS OF SIMULTANEOUS LINEAR EQUATIONS Gauss-Sedel Method 006 Jame Traha, Autar Kaw, Kev Mart Uversty of South Florda Uted States of Amerca kaw@eg.usf.edu Itroducto Ths worksheet demostrates

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

Analysis of Lagrange Interpolation Formula

Analysis of Lagrange Interpolation Formula P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal

More information

On Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros

On Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros It. Joural of Math. Aalyss, Vol. 7, 2013, o. 20, 983-988 HIKARI Ltd, www.m-hkar.com O Modfed Iterval Symmetrc Sgle-Step Procedure ISS2-5D for the Smultaeous Icluso of Polyomal Zeros 1 Nora Jamalud, 1 Masor

More information

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Aalyss of Varace ad Desg of Exermets-I MODULE II LECTURE - GENERAL LINEAR HYPOTHESIS AND ANALYSIS OF VARIANCE Dr Shalabh Deartmet of Mathematcs ad Statstcs Ida Isttute of Techology Kaur Tukey s rocedure

More information

IS 709/809: Computational Methods in IS Research. Simple Markovian Queueing Model

IS 709/809: Computational Methods in IS Research. Simple Markovian Queueing Model IS 79/89: Comutatoal Methods IS Research Smle Marova Queueg Model Nrmalya Roy Deartmet of Iformato Systems Uversty of Marylad Baltmore Couty www.umbc.edu Queueg Theory Software QtsPlus software The software

More information

STRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING

STRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING Joural of tatstcs: Advaces Theory ad Alcatos Volume 5, Number, 6, Pages 3- Avalable at htt://scetfcadvaces.co. DOI: htt://d.do.org/.864/jsata_7678 TRONG CONITENCY FOR IMPLE LINEAR EV MODEL WITH v/ -MIXING

More information

Numerical Analysis Formulae Booklet

Numerical Analysis Formulae Booklet Numercal Aalyss Formulae Booklet. Iteratve Scemes for Systems of Lear Algebrac Equatos:.... Taylor Seres... 3. Fte Dfferece Approxmatos... 3 4. Egevalues ad Egevectors of Matrces.... 3 5. Vector ad Matrx

More information

STK3100 and STK4100 Autumn 2018

STK3100 and STK4100 Autumn 2018 SK3 ad SK4 Autum 8 Geeralzed lear models Part III Covers the followg materal from chaters 4 ad 5: Cofdece tervals by vertg tests Cosder a model wth a sgle arameter β We may obta a ( α% cofdece terval for

More information

1 Lyapunov Stability Theory

1 Lyapunov Stability Theory Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may

More information

STK3100 and STK4100 Autumn 2017

STK3100 and STK4100 Autumn 2017 SK3 ad SK4 Autum 7 Geeralzed lear models Part III Covers the followg materal from chaters 4 ad 5: Sectos 4..5, 4.3.5, 4.3.6, 4.4., 4.4., ad 4.4.3 Sectos 5.., 5.., ad 5.5. Ørulf Borga Deartmet of Mathematcs

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal

More information

Introducing Sieve of Eratosthenes as a Theorem

Introducing Sieve of Eratosthenes as a Theorem ISSN(Ole 9-8 ISSN (Prt - Iteratoal Joural of Iovatve Research Scece Egeerg ad echolog (A Hgh Imact Factor & UGC Aroved Joural Webste wwwrsetcom Vol Issue 9 Setember Itroducg Seve of Eratosthees as a heorem

More information

Singular Value Decomposition. Linear Algebra (3) Singular Value Decomposition. SVD and Eigenvectors. Solving LEs with SVD

Singular Value Decomposition. Linear Algebra (3) Singular Value Decomposition. SVD and Eigenvectors. Solving LEs with SVD Sgular Value Decomosto Lear Algera (3) m Cootes Ay m x matrx wth m ca e decomosed as follows Dagoal matrx A UWV m x x Orthogoal colums U U I w1 0 0 w W M M 0 0 x Orthoormal (Pure rotato) VV V V L 0 L 0

More information

On the characteristics of partial differential equations

On the characteristics of partial differential equations Sur les caractérstques des équatos au dérvées artelles Bull Soc Math Frace 5 (897) 8- O the characterstcs of artal dfferetal equatos By JULES BEUDON Traslated by D H Delhech I a ote that was reseted to

More information

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods Malaysa Umodalty Joural Tests of Mathematcal for Global Optmzato Sceces (): of 05 Sgle - 5 Varable (007) Fuctos Usg Statstcal Methods Umodalty Tests for Global Optmzato of Sgle Varable Fuctos Usg Statstcal

More information

A GMRES Method for Solving Fuzzy Linear Equations

A GMRES Method for Solving Fuzzy Linear Equations 7 Iteratoal Joural of Fuzzy Systems Vol 6 No Jue 4 A GMRES Method for Solvg Fuzzy Lear Equatos Jeyog Zhou ad Hu We Abstract Ths paper s teded to propose a method to replace the orgal fuzzy lear system

More information

On the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros

On the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros It. Joural of Math. Aalyss, Vol. 7, 2013, o. 59, 2947-2951 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/ma.2013.310259 O the Iterval Zoro Symmetrc Sgle Step Procedure IZSS1-5D for the Smultaeous

More information

COMPUTERISED ALGEBRA USED TO CALCULATE X n COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM

COMPUTERISED ALGEBRA USED TO CALCULATE X n COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM U.P.B. Sc. Bull., Seres A, Vol. 68, No. 3, 6 COMPUTERISED ALGEBRA USED TO CALCULATE X COST AND SOME COSTS FROM CONVERSIONS OF P-BASE SYSTEM WITH REFERENCES OF P-ADIC NUMBERS FROM Z AND Q C.A. MURESAN Autorul

More information

Two Fuzzy Probability Measures

Two Fuzzy Probability Measures Two Fuzzy robablty Measures Zdeěk Karíšek Isttute of Mathematcs Faculty of Mechacal Egeerg Bro Uversty of Techology Techcká 2 66 69 Bro Czech Reublc e-mal: karsek@umfmevutbrcz Karel Slavíček System dmstrato

More information

Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean

Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean Research Joural of Mathematcal ad Statstcal Sceces ISS 30 6047 Vol. 1(), 5-1, ovember (013) Res. J. Mathematcal ad Statstcal Sc. Comparso of Dual to Rato-Cum-Product Estmators of Populato Mea Abstract

More information

Semi-Riemann Metric on. the Tangent Bundle and its Index

Semi-Riemann Metric on. the Tangent Bundle and its Index t J Cotem Math Sceces ol 5 o 3 33-44 Sem-Rema Metrc o the Taet Budle ad ts dex smet Ayha Pamuale Uversty Educato Faculty Dezl Turey ayha@auedutr Erol asar Mers Uversty Art ad Scece Faculty 33343 Mers Turey

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION Malasa Joural of Mathematcal Sceces (): 95-05 (00) Fourth Order Four-Stage Dagoall Implct Ruge-Kutta Method for Lear Ordar Dfferetal Equatos Nur Izzat Che Jawas, Fudzah Ismal, Mohamed Sulema, 3 Azm Jaafar

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

1 0, x? x x. 1 Root finding. 1.1 Introduction. Solve[x^2-1 0,x] {{x -1},{x 1}} Plot[x^2-1,{x,-2,2}] 3

1 0, x? x x. 1 Root finding. 1.1 Introduction. Solve[x^2-1 0,x] {{x -1},{x 1}} Plot[x^2-1,{x,-2,2}] 3 Adrew Powuk - http://www.powuk.com- Math 49 (Numercal Aalyss) Root fdg. Itroducto f ( ),?,? Solve[^-,] {{-},{}} Plot[^-,{,-,}] Cubc equato https://e.wkpeda.org/wk/cubc_fucto Quartc equato https://e.wkpeda.org/wk/quartc_fucto

More information

The Lie Algebra of Smooth Sections of a T-bundle

The Lie Algebra of Smooth Sections of a T-bundle IST Iteratoal Joural of Egeerg Scece, Vol 7, No3-4, 6, Page 8-85 The Le Algera of Smooth Sectos of a T-udle Nadafhah ad H R Salm oghaddam Astract: I ths artcle, we geeralze the cocept of the Le algera

More information

Chapter 5. Curve fitting

Chapter 5. Curve fitting Chapter 5 Curve ttg Assgmet please use ecell Gve the data elow use least squares regresso to t a a straght le a power equato c a saturato-growthrate equato ad d a paraola. Fd the r value ad justy whch

More information

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,

More information

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model Chapter 3 Asmptotc Theor ad Stochastc Regressors The ature of eplaator varable s assumed to be o-stochastc or fed repeated samples a regresso aalss Such a assumpto s approprate for those epermets whch

More information

A Collocation Method for Solving Abel s Integral Equations of First and Second Kinds

A Collocation Method for Solving Abel s Integral Equations of First and Second Kinds A Collocato Method for Solvg Abel s Itegral Equatos of Frst ad Secod Kds Abbas Saadatmad a ad Mehd Dehgha b a Departmet of Mathematcs, Uversty of Kasha, Kasha, Ira b Departmet of Appled Mathematcs, Faculty

More information

Calculus Appendix 1: Inequality Constraints

Calculus Appendix 1: Inequality Constraints Calculus Aed : Iequalty Costrats CA Mamzg wth Iequalty Costrats The method of solvg costraed etremum rolems devsed y Lagrage s arorate f the costrats hold wth strct equalty Ths method works eve whe the

More information

Arithmetic Mean and Geometric Mean

Arithmetic Mean and Geometric Mean Acta Mathematca Ntresa Vol, No, p 43 48 ISSN 453-6083 Arthmetc Mea ad Geometrc Mea Mare Varga a * Peter Mchalča b a Departmet of Mathematcs, Faculty of Natural Sceces, Costate the Phlosopher Uversty Ntra,

More information

Lecture 9. Some Useful Discrete Distributions. Some Useful Discrete Distributions. The observations generated by different experiments have

Lecture 9. Some Useful Discrete Distributions. Some Useful Discrete Distributions. The observations generated by different experiments have NM 7 Lecture 9 Some Useful Dscrete Dstrbutos Some Useful Dscrete Dstrbutos The observatos geerated by dfferet eermets have the same geeral tye of behavor. Cosequetly, radom varables assocated wth these

More information

ECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013

ECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013 ECE 595, Secto 0 Numercal Smulatos Lecture 9: FEM for Electroc Trasport Prof. Peter Bermel February, 03 Outle Recap from Wedesday Physcs-based devce modelg Electroc trasport theory FEM electroc trasport

More information

Non-uniform Turán-type problems

Non-uniform Turán-type problems Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at

More information

Unsupervised Learning and Other Neural Networks

Unsupervised Learning and Other Neural Networks CSE 53 Soft Computg NOT PART OF THE FINAL Usupervsed Learg ad Other Neural Networs Itroducto Mture Destes ad Idetfablty ML Estmates Applcato to Normal Mtures Other Neural Networs Itroducto Prevously, all

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

A Remark on the Uniform Convergence of Some Sequences of Functions

A Remark on the Uniform Convergence of Some Sequences of Functions Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut

More information

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract Numercal Smulatos of the Complex Moded Korteweg-de Vres Equato Thab R. Taha Computer Scece Departmet The Uversty of Georga Athes, GA 002 USA Tel 0-542-2911 e-mal thab@cs.uga.edu Abstract I ths paper mplemetatos

More information

2. Independence and Bernoulli Trials

2. Independence and Bernoulli Trials . Ideedece ad Beroull Trals Ideedece: Evets ad B are deedet f B B. - It s easy to show that, B deedet mles, B;, B are all deedet ars. For examle, ad so that B or B B B B B φ,.e., ad B are deedet evets.,

More information

Minimizing Total Completion Time in a Flow-shop Scheduling Problems with a Single Server

Minimizing Total Completion Time in a Flow-shop Scheduling Problems with a Single Server Joural of Aled Mathematcs & Boformatcs vol. o.3 0 33-38 SSN: 79-660 (rt) 79-6939 (ole) Sceress Ltd 0 Mmzg Total omleto Tme a Flow-sho Schedulg Problems wth a Sgle Server Sh lg ad heg xue-guag Abstract

More information

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Numercal Computg -I UNIT SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Structure Page Nos..0 Itroducto 6. Objectves 7. Ital Approxmato to a Root 7. Bsecto Method 8.. Error Aalyss 9.4 Regula Fals Method

More information

2SLS Estimates ECON In this case, begin with the assumption that E[ i

2SLS Estimates ECON In this case, begin with the assumption that E[ i SLS Estmates ECON 3033 Bll Evas Fall 05 Two-Stage Least Squares (SLS Cosder a stadard lear bvarate regresso model y 0 x. I ths case, beg wth the assumto that E[ x] 0 whch meas that OLS estmates of wll

More information

An Efficient without Direct Function Evaluations. Newton s Method for Solving Systems of. Nonlinear Equations

An Efficient without Direct Function Evaluations. Newton s Method for Solving Systems of. Nonlinear Equations Aled Mathematcal Sceces, Vol. 3, 9, o., - 3 HIKARI Ltd, www.m-hkar.com htts://do.org/.988/ams.9.88 A Effcet wthout Drect Fucto Evaluatos Newto s Method for Solvg Systems of Nolear Equatos Elefthera N.

More information

Convergence of the Desroziers scheme and its relation to the lag innovation diagnostic

Convergence of the Desroziers scheme and its relation to the lag innovation diagnostic Covergece of the Desrozers scheme ad ts relato to the lag ovato dagostc chard Méard Evromet Caada, Ar Qualty esearch Dvso World Weather Ope Scece Coferece Motreal, August 9, 04 o t t O x x x y x y Oservato

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto

More information

IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 07, 2014 ISSN (online):

IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 07, 2014 ISSN (online): IJSRD - Iteratoal Joural for Scetfc Research & Develomet Vol. 2, Issue 07, 204 ISSN (ole): 232-063 Sestvty alyss of GR Method for Iterval Valued Itutost Fuzzy MDM: The Results of Chage the Weght of Oe

More information

QR Factorization and Singular Value Decomposition COS 323

QR Factorization and Singular Value Decomposition COS 323 QR Factorzato ad Sgular Value Decomposto COS 33 Why Yet Aother Method? How do we solve least-squares wthout currg codto-squarg effect of ormal equatos (A T A A T b) whe A s sgular, fat, or otherwse poorly-specfed?

More information

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES FDM: Appromato of Frst Order Dervatves Lecture APPROXIMATION OF FIRST ORDER DERIVATIVES. INTRODUCTION Covectve term coservato equatos volve frst order dervatves. The smplest possble approach for dscretzato

More information

Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets

Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets Modfed ose mlarty Measure betwee Itutostc Fuzzy ets hao-mg wag ad M-he Yag,* Deartmet of led Mathematcs, hese ulture Uversty, Tae, Tawa Deartmet of led Mathematcs, hug Yua hrsta Uversty, hug-l, Tawa msyag@math.cycu.edu.tw

More information

Point Estimation: definition of estimators

Point Estimation: definition of estimators Pot Estmato: defto of estmators Pot estmator: ay fucto W (X,..., X ) of a data sample. The exercse of pot estmato s to use partcular fuctos of the data order to estmate certa ukow populato parameters.

More information

Recursive linear estimation for discrete time systems in the presence of different multiplicative observation noises

Recursive linear estimation for discrete time systems in the presence of different multiplicative observation noises Recursve lear estmato for dscrete tme systems the resece of dfferet multlcatve observato oses C. Sáchez Gozález,*,.M. García Muñoz Deartameto de Métodos Cuattatvos ara la Ecoomía y la Emresa, Facultad

More information

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

ELEC 6041 LECTURE NOTES WEEK 1 Dr. Amir G. Aghdam Concordia University

ELEC 6041 LECTURE NOTES WEEK 1 Dr. Amir G. Aghdam Concordia University ELEC 604 LECTURE NOTES WEEK Dr mr G ghdam Cocorda Uverst Itroducto - Large-scale sstems are the mult-ut mult-outut (MIMO) sstems cosstg of geograhcall searated comoets - Eamles of large-scale sstems clude

More information

Factorization of Finite Abelian Groups

Factorization of Finite Abelian Groups Iteratoal Joural of Algebra, Vol 6, 0, o 3, 0-07 Factorzato of Fte Abela Grous Khald Am Uversty of Bahra Deartmet of Mathematcs PO Box 3038 Sakhr, Bahra kamee@uobedubh Abstract If G s a fte abela grou

More information

CHAPTER 6. d. With success = observation greater than 10, x = # of successes = 4, and

CHAPTER 6. d. With success = observation greater than 10, x = # of successes = 4, and CHAPTR 6 Secto 6.. a. We use the samle mea, to estmate the oulato mea µ. Σ 9.80 µ 8.407 7 ~ 7. b. We use the samle meda, 7 (the mddle observato whe arraged ascedg order. c. We use the samle stadard devato,

More information

An Improved Newton's Method Without Direct Function Evaluations

An Improved Newton's Method Without Direct Function Evaluations Ge. Math. Notes, Vol., No., February,. 64-7 ISSN 9-784; Coyrght ICSRS Publcato, www.-csrs.org Avalable ree ole at htt://www.gema. A Imroved Newto's Method Wthout Drect Fucto Evaluatos Behzad Ghabar, ad

More information

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation PGE 30: Formulato ad Soluto Geosystems Egeerg Dr. Balhoff Iterpolato Numercal Methods wth MATLAB, Recktewald, Chapter 0 ad Numercal Methods for Egeers, Chapra ad Caale, 5 th Ed., Part Fve, Chapter 8 ad

More information

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n .. Soluto of Problem. M s obvously cotuous o ], [ ad ], [. Observe that M x,..., x ) M x,..., x ) )..) We ext show that M s odecreasg o ], [. Of course.) mles that M s odecreasg o ], [ as well. To show

More information

Unit 9. The Tangent Bundle

Unit 9. The Tangent Bundle Ut 9. The Taget Budle ========================================================================================== ---------- The taget sace of a submafold of R, detfcato of taget vectors wth dervatos at

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

Entropy, Relative Entropy and Mutual Information

Entropy, Relative Entropy and Mutual Information Etro Relatve Etro ad Mutual Iformato rof. Ja-Lg Wu Deartmet of Comuter Scece ad Iformato Egeerg Natoal Tawa Uverst Defto: The Etro of a dscrete radom varable s defed b : base : 0 0 0 as bts 0 : addg terms

More information

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen Vol No : Joural of Facult of Egeerg & echolog JFE Pages 9- Uque Coo Fed Pot of Sequeces of Mags -Metrc Sace M. Ara * Noshee * Deartet of Matheatcs C Uverst Lahore Pasta. Eal: ara7@ahoo.co Deartet of Matheatcs

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

Tokyo Institute of Technology Tokyo Institute of Technology

Tokyo Institute of Technology Tokyo Institute of Technology Outle ult-aget Search usg oroo Partto ad oroo D eermet Revew Itroducto Decreasg desty fucto Stablty Cocluso Fujta Lab, Det. of Cotrol ad System Egeerg, FL07--: July 09,007 Davd Ask ork rogress:. Smulato

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

IMPROVED GA-CONVEXITY INEQUALITIES

IMPROVED GA-CONVEXITY INEQUALITIES IMPROVED GA-CONVEXITY INEQUALITIES RAZVAN A. SATNOIANU Corresodece address: Deartmet of Mathematcs, Cty Uversty, LONDON ECV HB, UK; e-mal: r.a.satoau@cty.ac.uk; web: www.staff.cty.ac.uk/~razva/ Abstract

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming Aerca Joural of Operatos Research, 4, 4, 33-339 Publshed Ole Noveber 4 ScRes http://wwwscrporg/oural/aor http://ddoorg/436/aor4463 A Pealty Fucto Algorth wth Obectve Paraeters ad Costrat Pealty Paraeter

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

Integral Equation Methods. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, Xin Wang and Karen Veroy

Integral Equation Methods. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, Xin Wang and Karen Veroy Itroducto to Smulato - Lecture 22 Itegral Equato ethods Jacob Whte Thaks to Deepak Ramaswamy, chal Rewesk, X Wag ad Kare Veroy Outle Itegral Equato ethods Exteror versus teror problems Start wth usg pot

More information

Nonparametric Density Estimation Intro

Nonparametric Density Estimation Intro Noarametrc Desty Estmato Itro Parze Wdows No-Parametrc Methods Nether robablty dstrbuto or dscrmat fucto s kow Haes qute ofte All we have s labeled data a lot s kow easer salmo bass salmo salmo Estmate

More information

Generalized One-Step Third Derivative Implicit Hybrid Block Method for the Direct Solution of Second Order Ordinary Differential Equation

Generalized One-Step Third Derivative Implicit Hybrid Block Method for the Direct Solution of Second Order Ordinary Differential Equation Appled Mathematcal Sceces, Vol. 1, 16, o. 9, 417-4 HIKARI Ltd, www.m-hkar.com http://dx.do.org/1.1988/ams.16.51667 Geeralzed Oe-Step Thrd Dervatve Implct Hybrd Block Method for the Drect Soluto of Secod

More information

Channel Models with Memory. Channel Models with Memory. Channel Models with Memory. Channel Models with Memory

Channel Models with Memory. Channel Models with Memory. Channel Models with Memory. Channel Models with Memory Chael Models wth Memory Chael Models wth Memory Hayder radha Electrcal ad Comuter Egeerg Mchga State Uversty I may ractcal etworkg scearos (cludg the Iteret ad wreless etworks), the uderlyg chaels are

More information

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018 Chrs Pech Fal Practce CS09 Dec 5, 08 Practce Fal Examato Solutos. Aswer: 4/5 8/7. There are multle ways to obta ths aswer; here are two: The frst commo method s to sum over all ossbltes for the rak of

More information

A Method for Damping Estimation Based On Least Square Fit

A Method for Damping Estimation Based On Least Square Fit Amerca Joural of Egeerg Research (AJER) 5 Amerca Joural of Egeerg Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-7, pp-5-9 www.ajer.org Research Paper Ope Access A Method for Dampg Estmato

More information

K-Even Edge-Graceful Labeling of Some Cycle Related Graphs

K-Even Edge-Graceful Labeling of Some Cycle Related Graphs Iteratoal Joural of Egeerg Scece Iveto ISSN (Ole): 9 7, ISSN (Prt): 9 7 www.jes.org Volume Issue 0ǁ October. 0 ǁ PP.0-7 K-Eve Edge-Graceful Labelg of Some Cycle Related Grahs Dr. B. Gayathr, S. Kousalya

More information

DKA method for single variable holomorphic functions

DKA method for single variable holomorphic functions DKA method for sgle varable holomorphc fuctos TOSHIAKI ITOH Itegrated Arts ad Natural Sceces The Uversty of Toushma -, Mamhosama, Toushma, 770-8502 JAPAN Abstract: - Durad-Kerer-Aberth (DKA method for

More information

ENGI 4421 Joint Probability Distributions Page Joint Probability Distributions [Navidi sections 2.5 and 2.6; Devore sections

ENGI 4421 Joint Probability Distributions Page Joint Probability Distributions [Navidi sections 2.5 and 2.6; Devore sections ENGI 441 Jot Probablty Dstrbutos Page 7-01 Jot Probablty Dstrbutos [Navd sectos.5 ad.6; Devore sectos 5.1-5.] The jot probablty mass fucto of two dscrete radom quattes, s, P ad p x y x y The margal probablty

More information

Probability and Statistics. What is probability? What is statistics?

Probability and Statistics. What is probability? What is statistics? robablt ad Statstcs What s robablt? What s statstcs? robablt ad Statstcs robablt Formall defed usg a set of aoms Seeks to determe the lkelhood that a gve evet or observato or measuremet wll or has haeed

More information

for each of its columns. A quick calculation will verify that: thus m < dim(v). Then a basis of V with respect to which T has the form: A

for each of its columns. A quick calculation will verify that: thus m < dim(v). Then a basis of V with respect to which T has the form: A Desty of dagoalzable square atrces Studet: Dael Cervoe; Metor: Saravaa Thyagaraa Uversty of Chcago VIGRE REU, Suer 7. For ths etre aer, we wll refer to V as a vector sace over ad L(V) as the set of lear

More information

Solution of General Dual Fuzzy Linear Systems. Using ABS Algorithm

Solution of General Dual Fuzzy Linear Systems. Using ABS Algorithm Appled Mathematcal Sceces, Vol 6, 0, o 4, 63-7 Soluto of Geeral Dual Fuzzy Lear Systems Usg ABS Algorthm M A Farborz Aragh * ad M M ossezadeh Departmet of Mathematcs, Islamc Azad Uversty Cetral ehra Brach,

More information

Fractional Order Finite Difference Scheme For Soil Moisture Diffusion Equation And Its Applications

Fractional Order Finite Difference Scheme For Soil Moisture Diffusion Equation And Its Applications IOS Joural of Mathematcs (IOS-JM e-iss: 78-578. Volume 5, Issue 4 (Ja. - Feb. 3, PP -8 www.osrourals.org Fractoal Order Fte Dfferece Scheme For Sol Mosture Dffuso quato Ad Its Applcatos S.M.Jogdad, K.C.Takale,

More information

International Journal of Mathematical Archive-5(8), 2014, Available online through ISSN

International Journal of Mathematical Archive-5(8), 2014, Available online through   ISSN Iteratoal Joural of Mathematcal Archve-5(8) 204 25-29 Avalable ole through www.jma.fo ISSN 2229 5046 COMMON FIXED POINT OF GENERALIZED CONTRACTION MAPPING IN FUZZY METRIC SPACES Hamd Mottagh Golsha* ad

More information

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system Iteratoal Joural of Egeerg ad Advaced Research Techology (IJEART) ISSN: 2454-9290, Volume-2, Issue-1, Jauary 2016 Uform asymptotcal stablty of almost perodc soluto of a dscrete multspeces Lotka-Volterra

More information

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions Appled Matheatcs, 1, 4, 8-88 http://d.do.org/1.4/a.1.448 Publshed Ole Aprl 1 (http://www.scrp.org/joural/a) A Covetoal Approach for the Soluto of the Ffth Order Boudary Value Probles Usg Sth Degree Sple

More information

4 Inner Product Spaces

4 Inner Product Spaces 11.MH1 LINEAR ALGEBRA Summary Notes 4 Ier Product Spaces Ier product s the abstracto to geeral vector spaces of the famlar dea of the scalar product of two vectors or 3. I what follows, keep these key

More information

Chapter 8: Statistical Analysis of Simulated Data

Chapter 8: Statistical Analysis of Simulated Data Marquette Uversty MSCS600 Chapter 8: Statstcal Aalyss of Smulated Data Dael B. Rowe, Ph.D. Departmet of Mathematcs, Statstcs, ad Computer Scece Copyrght 08 by Marquette Uversty MSCS600 Ageda 8. The Sample

More information

On A Two Dimensional Finsler Space Whose Geodesics Are Semi- Elipses and Pair of Straight Lines

On A Two Dimensional Finsler Space Whose Geodesics Are Semi- Elipses and Pair of Straight Lines IOSR Joural of Mathematcs (IOSR-JM) e-issn: 78-578 -ISSN:39-765X Volume 0 Issue Ver VII (Mar-Ar 04) PP 43-5 wwwosrjouralsorg O A Two Dmesoal Fsler Sace Whose Geodescs Are Sem- Elses ad Par of Straght es

More information

Jacobian-Free Diagonal Newton s Method for Solving Nonlinear Systems with Singular Jacobian ABSTRACT INTRODUCTION

Jacobian-Free Diagonal Newton s Method for Solving Nonlinear Systems with Singular Jacobian ABSTRACT INTRODUCTION Malaysa Joural of Mathematcal Sceces 5(: 4-55 ( Jacoba-ree Dagoal Newto s Method for Solvg Nolear Systems wth Sgular Jacoba Mohammed Wazr Yusuf,, Leog Wah Jue ad, Mal Abu Hassa aculty of Scece, Uverst

More information

Aitken delta-squared generalized Juncgk-type iterative procedure

Aitken delta-squared generalized Juncgk-type iterative procedure Atke delta-squared geeralzed Jucgk-type teratve procedure M. De la Se Isttute of Research ad Developmet of Processes. Uversty of Basque Coutry Campus of Leoa (Bzkaa) PO Box. 644- Blbao, 488- Blbao. SPAIN

More information