The Direct and Inverse Problems for the Hyperbolic Boundary Value Problem
|
|
- Jocelyn Walker
- 5 years ago
- Views:
Transcription
1 Al- Mustansiriyah J. Sci. Vol. 24, No 5, 203 The Direct and Inverse Probles for the Hyperbolic Boundary Value Proble Jail Air Ali Al-Hawasy and Halah Rahan Jaber 2,2 Deparent of atheatics, College of Science, University of Al-Mustansiriyah Received 6/3/203 Accepted 5/9/203 الخالصة خناول هذا انبحث حم ان سأنت ان باشزة ن عادنت حفاضه ت جزئ ت ين اننىع انزائذي يع شزوط ابخذائ ت و حذود ت باسخخذاو طز قت انعناصز ان حذدة و خناول ا ضا حم ان سأنت انعكس ت ن سأنت انق ى االبخذائ ت ان ذكىرة اعاله ال جاد انشزط االبخذائ ان صاحب ن سأنت انق ى االبخذائ ت ين اننىع انزائذي بخحى هها انى يسأنت ايثه ت غ ز خط ت وانخ خى حهها باسخخذاو طز قت هىك وج فزغ ز يشزوطت.اعط ج اننخائج عهى شكم جذاول او رسىياث ح ث اظهزث كفأه انطز قخ ن ف انحم. ABSTRACT This paper deals with solving the direct proble for partial differential equation of hyperbolic type with initial conditions and boundary conditions using finite eleent ethod. Also it deals with the direct ethod for solving the inverse proble to deterine the initial condition which associates the hyperbolic partial differential equation when the solution of the equation is given at finite nuber of points of the doain that the solution is defined. This proble is transfored to a nonlinear optiization proble which is solved by the unconstraint Hook and Jives ethod. The results are given by tables and/or figures and show the efficiency of these ethods. INTRODUCTION During the last three decades, inverse probles have been studied fro any researchers. Warin S. and Suabsagun Y. used the iterative ethod for Levenberg-Marquardt ethod to estiate the odel paraeters of conductivity variation of the ground []. Liao W. applied TAMC tool to solve the optiization proble which obtained fro the forulation of inverse proble to deterine the unknown acoustic coefficient (coefficient of 2D wave equation) [2]. Rashedi K. and Yousefi S.A., used a technique on the Ritz-Galrekin ethod to solve the inverse proble to deterine the coefficient of a parabolic equation [3]. Al- Hawasy Ali, J. A. used the direct ethod to solve the inverse proble to deterine the unknown region that the equation is defined [4]. In fact the differenence between the direct ethod which is used in [4] and which is used here are, first the varational ethod is used there to solve the direct proble while the finite eleents ethod is used here, second the inverse proble is used there to find the region that the equation is defined while here the inverse proble is used to find the initial condition. Since the inverse probles for hyperbolic partial differential equations arise naturally in geophysics, oil prospecting, in the design of optical devise, and in any other area. Hence our interest in this paper to study 39
2 The Direct and Inverse Probles for the Hyperbolic Boundary Value Proble Jail and Halah the inverse proble of hyperbolic differential equations to deterine an initial condition. The paper consists of two parts, in the first part, the direct proble is to solve the hyperbolic partial differential equation when the initial and the boundary conditions are given using the finite eleents ethod. While the second part deals with the direct ethod for solving the inverse proble to deterine the initial condition associated with hyperbolic differential equation when the solution of this equation are given at finite nubers of points of the doain that the equation is defined. This inverse proble is transfored to a nonlinear optiization proble which is solved by using the unconstraint Hook and Jives ethod. The results for both direct and inverse probles are given in tables and/or figures which show the efficiency of both ethods. STATEMENT OF THE DIRECT PROBLEM Let Ω R d be an open and bounded region with Lipischitz boundary Г= Ω and let I= (0, T) and Q=Ω I. The hyperbolic equation is given by: ( ) ( ) in Q, ( ) () with the boundary condition ( ) in, where (2) and the initial conditions ( ) ( ), in Ω (3) ( ) ( ), in Ω (4) where A(t) is the 2 nd order elliptic differential operator i.e.: ( ) d y aij ( x, t) i, jxi xi Now, we denote by (,.),and. the inner product and nor in Sobolev space V= ( ) by the duality bracket between V and its dual and by the nor in ( ). The weak for of the proble (-4) is given by: ( ) ( ( ) ), alost everywhere on I (5) ( ),in Ω (6) ( ),in Ω (7) with ( ) d y v aij( x, t) x (8) i, j j xi where the initial conditions ake sense if, ( ),and ( ) is the usual bilinear for associated with A(t),we suppose ( ) is syetric and for soe positive constants, satisfies ( ) and ( ). 40
3 Al- Mustansiriyah J. Sci. Vol. 24, No 5, 203 We can rewrite equation (5) by ( ) ( ( ) ), alost everywhere on (5a) (5b) DESCRTIZATION OF THE CONTINUOUS EQUATION In this section we discrtize the weak for (5-7) by using the finite eleents ethod. We suppose for siplicity the operator ( ) is independent of, the doain Ω is polyhedron. For every integer n, let ( ) * + be an adissible regular triangulation of into closed disiplices [5],{ } be subdivision of the interval into N (n) intervals, where [ ] of equal lengths equal Set, Let ( ) be the space of continuous pricewise affine in Ω. Hence, the discrete state equations, for each v V n is written in the for: ( ) ( ) ( ( ) ), (9), (0) ( ) ( ) () ( ) ( ) (2) Where ( ) are given, and ( ), ( ), for Now, suppose the function f is defined on,( ) continuous w.r.t.. for here and up and for brevity we will drop soe ties the agreeent of dependent variable, and any others ters which contain this independent variable. SOLUTION OF THE WAVE EQUATION BY FINITE ELEMENT METHOD To find the solution ( ) for fixed any j ( ), the procedure utilized here, can be described by using the following steps: Step : for fixed any j,( ), let * ( )+ be a finite basis of (where ( ),for are continuous pricewise affine in Ω with ( ) are zero on the boundary Г), then equations(9-2) for any and,,,, can be written in the for: ( ) ( ) ( ( ) ), (3), (4) ( ) ( ), (5) ( ) ( ) (6) 4
4 The Direct and Inverse Probles for the Hyperbolic Boundary Value Proble Jail and Halah Step2: Rewriting (4) in the for Substituting (7) in (3), we have: ( ) ( ) ( ) ( ) ( ( ) ) (8) Step3: Fro the basis of, using Galerkin ethod we write k 0 c k v k j c k vk k j d k vk. k, j c k vk k, k d k v k 0, k d k v k, and (7) Where, ( ) and, ( ), are unknown constants, for each. Step4: Substituting,,,, and in equations (7,8,5,&6) we get the following linear syste of ordinary differential equations: (A+( ) B) =A + A +( ) ( ),.. (9) ( ), (20) AC 0 =e 0 (2) AD 0 =e (22) Where A=( ), ( ), B=( ), ( ) ( ), ( ), ( ), ( ( ) ) ( ), ( ), ( ), ( )and ( ), for each The above linear syste has a unique solution [6]. To solve the linear systes (9) and (20), first we solve the linear systes (2) and (22) to get the unknowns and, then we set in (9) and (20) to get and, then we repeat this procedure to solve (9) and (20), for to get the unknowns and (solution of the direct proble). THE INVERSE PROBLEM OF THE WAVE EQUATION DESCRIPTION OF THE INVERSE PROBLEM The previous section is devoted to the solution of the direct proble for the wave equation in, in which the solution of the proble 42
5 Al- Mustansiriyah J. Sci. Vol. 24, No 5, 203 (discrete wave for) is found over the region Q, when the initial condition y( )is given, while the inverse proble is to deterine the initial condition ( )when the solution of the wave equation is given on (where contains a finite nuber of the points of Q). Where *( ) + In general the unknown initial condition can be expressed by the polynoial ( ) a x i p i0 i (23) where ( ) are unknown constants) MATHEMATICAL STATEMENT OF THE INVERSE PROBLEM FOR THE WAVE EQUATION Before solving the inverse proble to find the unknown initial condition, the region of space variable Ω is assued be a square, hence the unknown initial condition (23) ust be in the for: ( ) ( )( )( )( ) (24) Therefore, our proble becoes to find the unknowns constants (a and b). Now, to solve this proble by using the direct ethod to find these unknowns the proble is transfored to the following discrete leastsquare approxiation M Min ( ) u ( x, x, t) u ( x, x, t) 2 i 0 i 2i ap i 2i (25) where ( ) are the given values of solution of the discrete wave equation at the point ( ) with when all the initial and boundary conditions are known (solution of the direct proble), uap ( x i, x2i, t) are the values of the approxiate solution of the sae proble but when ( ) has the for (24), i.e., the proble becoes to find the unknowns a and b which are in (24), the unconstrained Hook and Jives ethod [7], used to deterine these values. NUMERICAL EXAMPLES EXAMPLE () Consider the following wave equation : ( ), where ( ) associated with the initial and boundary conditions ( ) on where 43
6 Y Y The Direct and Inverse Probles for the Hyperbolic Boundary Value Proble Jail and Halah ( ), ( )( ) ( ) ( ) - The exact solution of this proble is: ( ) ( )( ) By using the finite eleent ethod for M=9, N=00, we get the results which are shown in Table () and Figure () at =0.3, the table shows the approxiate solution ( ) and the exact solution ( ) and the absolute error at x and x 2. Table-: Coparison between exact and approxiation solutions Exact solution Approxiate solution Absolute Error a X X b X X Figure-: (a) shows the exact solution (b) shows the approxiation solution EXAMPLE (2) Consider the following wave equation: ( ), where ( ) associated with the initial and boundary conditions 44
7 Al- Mustansiriyah J. Sci. Vol. 24, No 5, 203 ( ) on Where ( ),( )( ) ( ) ( )- The exact solution of this proble is: ( ) ( )( ) By using the finite eleents ethod for M=9, N=00, we get the results which are shown in Table (2) and Figure (2) at =0.3, which shows the approxiate results ( ) and the exact solution ( ) and the absolute error at the values of x and x 2 which are given in the table. Table-2: Coparison between exact and approxiation solution Exact solution Approxiate solution Absolute Error Exact solution Approxiate solution Absolute Error
8 Y Y The Direct and Inverse Probles for the Hyperbolic Boundary Value Proble Jail and Halah a X X b X X Figure-2: (a) shows the exact solution (b) shows the approxiation solution EXAMPLE (3) Consider the following hyperbolic equation: ( ), where ( ) With the boundary condition ( ) on Г=I əω And the initial conditions ( )( ) Where ( ), ( )( ) ( ) ( ) - In this exaple the inverse proble is to find the unknown (a and b) using the ethod of Hook and Jives when the solution of the direct ethod is given at the points of the set. By using the unconstraint Hook and Jives ethod with step length k=0.5, and different initial values of ( a and b). the results are shown in table (3). Table-3: Different initial values of unknowns ( a and b) and their final values K=0.5, Initial Final Z= ( Z= ( Values Values ) ) a b a b
9 Al- Mustansiriyah J. Sci. Vol. 24, No 5, 203 EXAMPLE (4) Consider the following hyperbolic equation: ( ), where ( ) With the boundary condition ( ) on Г=I əω And initial conditions ( )( ) Where ( ),( )( ) ( ) ( )- By using the ethod of Hook and Jives with step length k= and different initial values of (a and b). The results are shown in table (4). Table-4: Different initial value of unknowns ( a and b) and their final values Initial Values a b Z= ( ) K= Final Values a b Z= ( CONCLUSION In this paper we conclude that the finite eleents ethod is suitable and efficient to solve the direct proble and in the other hand the finite eleents ethod associated with unconstraint Hook and Jives ethod for solving a nonlinear optiization proble at certain tie with different values of space variable is efficient to deterine initial condition associated with the given partial differential equation. It is iportant to ention here that the value of is chose arbitral in the interval I, one can take any other value of provided this value belong to I. REFERENCES. Warin S., and Subsagun Y., Matheatical Inverse Proble of Magnetic Field fro Exponentially Varying Conductive Ground, Applied Matheatic Science, Vol. 6, No. 3, Lio W., An Accurate and Efficient Algorith for Paraeter Estiation of 2D Acoustic Wave Equation, International Journal of Applied Physics, Vol. No. 2, 20. )
10 The Direct and Inverse Probles for the Hyperbolic Boundary Value Proble Jail and Halah 3. Rashedi k., and Yousefi S. A., Ritz Galerkin Method for Solving a Class of Inverse Proble in the Parabolic Equation, International Journal of Nonlinear Science, Vol. 2 No. 4, Al-Hawasy J. A., On the Matheatical Inverse Probles with Applications to the Acoustic Wave Scattering, College of Science, Al-Nahrain University, M. Sc. Thesis, Thoee V., Galerkin Finite Eleent ethods for Parabolic Proble, 997 Springer Verlag Berlin Heidelberg, New York. 6. Al-Hawasy J. A., The Discrete Classical Optial Control Proble of Nonlinear Hyperbolic Partial Differential Equation (DCOCP) Journal Al-Nahrain, Vol.3, No Rao S. S., Optiization: Theory and Application, 2 nd, 984, Wiely, New York. 48
Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon
Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential
More informationExplicit Approximate Solution for Finding the. Natural Frequency of the Motion of Pendulum. by Using the HAM
Applied Matheatical Sciences Vol. 3 9 no. 1 13-13 Explicit Approxiate Solution for Finding the Natural Frequency of the Motion of Pendulu by Using the HAM Ahad Doosthoseini * Mechanical Engineering Departent
More informationThe Solution of One-Phase Inverse Stefan Problem. by Homotopy Analysis Method
Applied Matheatical Sciences, Vol. 8, 214, no. 53, 2635-2644 HIKARI Ltd, www.-hikari.co http://dx.doi.org/1.12988/as.214.43152 The Solution of One-Phase Inverse Stefan Proble by Hootopy Analysis Method
More informationThe Methods of Solution for Constrained Nonlinear Programming
Research Inventy: International Journal Of Engineering And Science Vol.4, Issue 3(March 2014), PP 01-06 Issn (e): 2278-4721, Issn (p):2319-6483, www.researchinventy.co The Methods of Solution for Constrained
More informationEfficient Numerical Solution of Diffusion Convection Problem of Chemical Engineering
Cheical and Process Engineering Research ISSN 4-7467 (Paper) ISSN 5-9 (Online) Vol, 5 Efficient Nuerical Solution of Diffusion Convection Proble of Cheical Engineering Bharti Gupta VK Kukreja * Departent
More informationSolving initial value problems by residual power series method
Theoretical Matheatics & Applications, vol.3, no.1, 13, 199-1 ISSN: 179-9687 (print), 179-979 (online) Scienpress Ltd, 13 Solving initial value probles by residual power series ethod Mohaed H. Al-Sadi
More informationAN APPLICATION OF CUBIC B-SPLINE FINITE ELEMENT METHOD FOR THE BURGERS EQUATION
Aksan, E..: An Applıcatıon of Cubıc B-Splıne Fınıte Eleent Method for... THERMAL SCIECE: Year 8, Vol., Suppl., pp. S95-S S95 A APPLICATIO OF CBIC B-SPLIE FIITE ELEMET METHOD FOR THE BRGERS EQATIO by Eine
More informationKernel Methods and Support Vector Machines
Intelligent Systes: Reasoning and Recognition Jaes L. Crowley ENSIAG 2 / osig 1 Second Seester 2012/2013 Lesson 20 2 ay 2013 Kernel ethods and Support Vector achines Contents Kernel Functions...2 Quadratic
More informationAlgorithms for parallel processor scheduling with distinct due windows and unit-time jobs
BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES Vol. 57, No. 3, 2009 Algoriths for parallel processor scheduling with distinct due windows and unit-tie obs A. JANIAK 1, W.A. JANIAK 2, and
More informationProbability Distributions
Probability Distributions In Chapter, we ephasized the central role played by probability theory in the solution of pattern recognition probles. We turn now to an exploration of soe particular exaples
More informationSupport Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization
Recent Researches in Coputer Science Support Vector Machine Classification of Uncertain and Ibalanced data using Robust Optiization RAGHAV PAT, THEODORE B. TRAFALIS, KASH BARKER School of Industrial Engineering
More informationCourse Notes for EE227C (Spring 2018): Convex Optimization and Approximation
Course Notes for EE227C (Spring 2018): Convex Optiization and Approxiation Instructor: Moritz Hardt Eail: hardt+ee227c@berkeley.edu Graduate Instructor: Max Sichowitz Eail: sichow+ee227c@berkeley.edu October
More informationCourse Notes for EE227C (Spring 2018): Convex Optimization and Approximation
Course Notes for EE7C (Spring 018: Convex Optiization and Approxiation Instructor: Moritz Hardt Eail: hardt+ee7c@berkeley.edu Graduate Instructor: Max Sichowitz Eail: sichow+ee7c@berkeley.edu October 15,
More informationThe linear sampling method and the MUSIC algorithm
INSTITUTE OF PHYSICS PUBLISHING INVERSE PROBLEMS Inverse Probles 17 (2001) 591 595 www.iop.org/journals/ip PII: S0266-5611(01)16989-3 The linear sapling ethod and the MUSIC algorith Margaret Cheney Departent
More informationOptimum Value of Poverty Measure Using Inverse Optimization Programming Problem
International Journal of Conteporary Matheatical Sciences Vol. 14, 2019, no. 1, 31-42 HIKARI Ltd, www.-hikari.co https://doi.org/10.12988/ijcs.2019.914 Optiu Value of Poverty Measure Using Inverse Optiization
More informationIN modern society that various systems have become more
Developent of Reliability Function in -Coponent Standby Redundant Syste with Priority Based on Maxiu Entropy Principle Ryosuke Hirata, Ikuo Arizono, Ryosuke Toohiro, Satoshi Oigawa, and Yasuhiko Takeoto
More informationNUMERICAL MODELLING OF THE TYRE/ROAD CONTACT
NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT PACS REFERENCE: 43.5.LJ Krister Larsson Departent of Applied Acoustics Chalers University of Technology SE-412 96 Sweden Tel: +46 ()31 772 22 Fax: +46 ()31
More informationESTIMATING AND FORMING CONFIDENCE INTERVALS FOR EXTREMA OF RANDOM POLYNOMIALS. A Thesis. Presented to. The Faculty of the Department of Mathematics
ESTIMATING AND FORMING CONFIDENCE INTERVALS FOR EXTREMA OF RANDOM POLYNOMIALS A Thesis Presented to The Faculty of the Departent of Matheatics San Jose State University In Partial Fulfillent of the Requireents
More informationANALYSIS OF A NUMERICAL SOLVER FOR RADIATIVE TRANSPORT EQUATION
ANALYSIS OF A NUMERICAL SOLVER FOR RADIATIVE TRANSPORT EQUATION HAO GAO AND HONGKAI ZHAO Abstract. We analyze a nuerical algorith for solving radiative transport equation with vacuu or reflection boundary
More informationCh 12: Variations on Backpropagation
Ch 2: Variations on Backpropagation The basic backpropagation algorith is too slow for ost practical applications. It ay take days or weeks of coputer tie. We deonstrate why the backpropagation algorith
More informationBernoulli Wavelet Based Numerical Method for Solving Fredholm Integral Equations of the Second Kind
ISSN 746-7659, England, UK Journal of Inforation and Coputing Science Vol., No., 6, pp.-9 Bernoulli Wavelet Based Nuerical Method for Solving Fredhol Integral Equations of the Second Kind S. C. Shiralashetti*,
More informationUsing EM To Estimate A Probablity Density With A Mixture Of Gaussians
Using EM To Estiate A Probablity Density With A Mixture Of Gaussians Aaron A. D Souza adsouza@usc.edu Introduction The proble we are trying to address in this note is siple. Given a set of data points
More informationComparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations
International Journal of Applied Science and Technology Vol. 7, No. 3, Septeber 217 Coparison of Stability of Selected Nuerical Methods for Solving Stiff Sei- Linear Differential Equations Kwaku Darkwah
More informationNumerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term
Nuerical Studies of a Nonlinear Heat Equation with Square Root Reaction Ter Ron Bucire, 1 Karl McMurtry, 1 Ronald E. Micens 2 1 Matheatics Departent, Occidental College, Los Angeles, California 90041 2
More information. The univariate situation. It is well-known for a long tie that denoinators of Pade approxiants can be considered as orthogonal polynoials with respe
PROPERTIES OF MULTIVARIATE HOMOGENEOUS ORTHOGONAL POLYNOMIALS Brahi Benouahane y Annie Cuyt? Keywords Abstract It is well-known that the denoinators of Pade approxiants can be considered as orthogonal
More informationINTRODUCTION. Residual migration has proved to be a useful tool in imaging and in velocity analysis.
Stanford Exploration Project, Report, June 3, 999, pages 5 59 Short Note On Stolt prestack residual igration Paul Sava keywords: Stolt, residual igration INTRODUCTION Residual igration has proved to be
More informationI. Understand get a conceptual grasp of the problem
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departent o Physics Physics 81T Fall Ter 4 Class Proble 1: Solution Proble 1 A car is driving at a constant but unknown velocity,, on a straightaway A otorcycle is
More informationKonrad-Zuse-Zentrum für Informationstechnik Berlin Heilbronner Str. 10, D Berlin - Wilmersdorf
Konrad-Zuse-Zentru für Inforationstechnik Berlin Heilbronner Str. 10, D-10711 Berlin - Wilersdorf Folkar A. Borneann On the Convergence of Cascadic Iterations for Elliptic Probles SC 94-8 (Marz 1994) 1
More informationOn Lotka-Volterra Evolution Law
Advanced Studies in Biology, Vol. 3, 0, no. 4, 6 67 On Lota-Volterra Evolution Law Farruh Muhaedov Faculty of Science, International Islaic University Malaysia P.O. Box, 4, 570, Kuantan, Pahang, Malaysia
More informationDepartment of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, , China
6th International Conference on Machinery, Materials, Environent, Biotechnology and Coputer (MMEBC 06) Solving Multi-Sensor Multi-Target Assignent Proble Based on Copositive Cobat Efficiency and QPSO Algorith
More informationOn Constant Power Water-filling
On Constant Power Water-filling Wei Yu and John M. Cioffi Electrical Engineering Departent Stanford University, Stanford, CA94305, U.S.A. eails: {weiyu,cioffi}@stanford.edu Abstract This paper derives
More informationINTELLECTUAL DATA ANALYSIS IN AIRCRAFT DESIGN
INTELLECTUAL DATA ANALYSIS IN AIRCRAFT DESIGN V.A. Koarov 1, S.A. Piyavskiy 2 1 Saara National Research University, Saara, Russia 2 Saara State Architectural University, Saara, Russia Abstract. This article
More informationMODIFICATION OF AN ANALYTICAL MODEL FOR CONTAINER LOADING PROBLEMS
MODIFICATIO OF A AALYTICAL MODEL FOR COTAIER LOADIG PROBLEMS Reception date: DEC.99 otification to authors: 04 MAR. 2001 Cevriye GECER Departent of Industrial Engineering, University of Gazi 06570 Maltepe,
More informationSOLVING LITERAL EQUATIONS. Bundle 1: Safety & Process Skills
SOLVING LITERAL EQUATIONS Bundle 1: Safety & Process Skills Solving Literal Equations An equation is a atheatical sentence with an equal sign. The solution of an equation is a value for a variable that
More informationResearch in Area of Longevity of Sylphon Scraies
IOP Conference Series: Earth and Environental Science PAPER OPEN ACCESS Research in Area of Longevity of Sylphon Scraies To cite this article: Natalia Y Golovina and Svetlana Y Krivosheeva 2018 IOP Conf.
More informationFast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials
Fast Montgoery-like Square Root Coputation over GF( ) for All Trinoials Yin Li a, Yu Zhang a, a Departent of Coputer Science and Technology, Xinyang Noral University, Henan, P.R.China Abstract This letter
More informationChapter 6 1-D Continuous Groups
Chapter 6 1-D Continuous Groups Continuous groups consist of group eleents labelled by one or ore continuous variables, say a 1, a 2,, a r, where each variable has a well- defined range. This chapter explores:
More informationA model reduction approach to numerical inversion for a parabolic partial differential equation
Inverse Probles Inverse Probles 30 (204) 250 (33pp) doi:0.088/0266-56/30/2/250 A odel reduction approach to nuerical inversion for a parabolic partial differential equation Liliana Borcea, Vladiir Drusin
More informationOn the approximation of Feynman-Kac path integrals
On the approxiation of Feynan-Kac path integrals Stephen D. Bond, Brian B. Laird, and Benedict J. Leikuhler University of California, San Diego, Departents of Matheatics and Cheistry, La Jolla, CA 993,
More informationInspection; structural health monitoring; reliability; Bayesian analysis; updating; decision analysis; value of information
Cite as: Straub D. (2014). Value of inforation analysis with structural reliability ethods. Structural Safety, 49: 75-86. Value of Inforation Analysis with Structural Reliability Methods Daniel Straub
More informationPh 20.3 Numerical Solution of Ordinary Differential Equations
Ph 20.3 Nuerical Solution of Ordinary Differential Equations Due: Week 5 -v20170314- This Assignent So far, your assignents have tried to failiarize you with the hardware and software in the Physics Coputing
More informationNon-Parametric Non-Line-of-Sight Identification 1
Non-Paraetric Non-Line-of-Sight Identification Sinan Gezici, Hisashi Kobayashi and H. Vincent Poor Departent of Electrical Engineering School of Engineering and Applied Science Princeton University, Princeton,
More informationTopic 5a Introduction to Curve Fitting & Linear Regression
/7/08 Course Instructor Dr. Rayond C. Rup Oice: A 337 Phone: (95) 747 6958 E ail: rcrup@utep.edu opic 5a Introduction to Curve Fitting & Linear Regression EE 4386/530 Coputational ethods in EE Outline
More informationSoft Computing Techniques Help Assign Weights to Different Factors in Vulnerability Analysis
Soft Coputing Techniques Help Assign Weights to Different Factors in Vulnerability Analysis Beverly Rivera 1,2, Irbis Gallegos 1, and Vladik Kreinovich 2 1 Regional Cyber and Energy Security Center RCES
More informationExtension of CSRSM for the Parametric Study of the Face Stability of Pressurized Tunnels
Extension of CSRSM for the Paraetric Study of the Face Stability of Pressurized Tunnels Guilhe Mollon 1, Daniel Dias 2, and Abdul-Haid Soubra 3, M.ASCE 1 LGCIE, INSA Lyon, Université de Lyon, Doaine scientifique
More informationEMPIRICAL COMPLEXITY ANALYSIS OF A MILP-APPROACH FOR OPTIMIZATION OF HYBRID SYSTEMS
EMPIRICAL COMPLEXITY ANALYSIS OF A MILP-APPROACH FOR OPTIMIZATION OF HYBRID SYSTEMS Jochen Till, Sebastian Engell, Sebastian Panek, and Olaf Stursberg Process Control Lab (CT-AST), University of Dortund,
More informationData-Driven Imaging in Anisotropic Media
18 th World Conference on Non destructive Testing, 16- April 1, Durban, South Africa Data-Driven Iaging in Anisotropic Media Arno VOLKER 1 and Alan HUNTER 1 TNO Stieltjesweg 1, 6 AD, Delft, The Netherlands
More informationThe Stefan problem with moving boundary. Key Words: Stefan Problem; Crank-Nicolson method; Moving Boundary; Finite Element Method.
Bol. Soc. Paran. Mat. 3s. v. 6-8: 9 6. c SPM ISNN-3787 The Stefan proble with oving boundary M. A. Rincon & A. Scardua abstract: A atheatical odel of the linear therodynaic equations with oving ends, based
More informationA Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness
A Note on Scheduling Tall/Sall Multiprocessor Tasks with Unit Processing Tie to Miniize Maxiu Tardiness Philippe Baptiste and Baruch Schieber IBM T.J. Watson Research Center P.O. Box 218, Yorktown Heights,
More informationŞtefan ŞTEFĂNESCU * is the minimum global value for the function h (x)
7Applying Nelder Mead s Optiization Algorith APPLYING NELDER MEAD S OPTIMIZATION ALGORITHM FOR MULTIPLE GLOBAL MINIMA Abstract Ştefan ŞTEFĂNESCU * The iterative deterinistic optiization ethod could not
More informationDynamic analysis of frames with viscoelastic dampers: a comparison of damper models
Structural Engineering and Mechanics, Vol. 41, No. 1 (2012) 113-137 113 Dynaic analysis of fraes with viscoelastic dapers: a coparison of daper odels R. Lewandowski*, A. Bartkowiak a and H. Maciejewski
More informationIntelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines
Intelligent Systes: Reasoning and Recognition Jaes L. Crowley osig 1 Winter Seester 2018 Lesson 6 27 February 2018 Outline Perceptrons and Support Vector achines Notation...2 Linear odels...3 Lines, Planes
More informationCurious Bounds for Floor Function Sums
1 47 6 11 Journal of Integer Sequences, Vol. 1 (018), Article 18.1.8 Curious Bounds for Floor Function Sus Thotsaporn Thanatipanonda and Elaine Wong 1 Science Division Mahidol University International
More informationThis model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t.
CS 493: Algoriths for Massive Data Sets Feb 2, 2002 Local Models, Bloo Filter Scribe: Qin Lv Local Models In global odels, every inverted file entry is copressed with the sae odel. This work wells when
More informationHybrid System Identification: An SDP Approach
49th IEEE Conference on Decision and Control Deceber 15-17, 2010 Hilton Atlanta Hotel, Atlanta, GA, USA Hybrid Syste Identification: An SDP Approach C Feng, C M Lagoa, N Ozay and M Sznaier Abstract The
More informationStochastic Subgradient Methods
Stochastic Subgradient Methods Lingjie Weng Yutian Chen Bren School of Inforation and Coputer Science University of California, Irvine {wengl, yutianc}@ics.uci.edu Abstract Stochastic subgradient ethods
More informationA Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair
Proceedings of the 6th SEAS International Conference on Siulation, Modelling and Optiization, Lisbon, Portugal, Septeber -4, 006 0 A Siplified Analytical Approach for Efficiency Evaluation of the eaving
More informationResearch Article Robust ε-support Vector Regression
Matheatical Probles in Engineering, Article ID 373571, 5 pages http://dx.doi.org/10.1155/2014/373571 Research Article Robust ε-support Vector Regression Yuan Lv and Zhong Gan School of Mechanical Engineering,
More informationHermite s Rule Surpasses Simpson s: in Mathematics Curricula Simpson s Rule. Should be Replaced by Hermite s
International Matheatical Foru, 4, 9, no. 34, 663-686 Herite s Rule Surpasses Sipson s: in Matheatics Curricula Sipson s Rule Should be Replaced by Herite s Vito Lapret University of Lublana Faculty of
More information1 Bounding the Margin
COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #12 Scribe: Jian Min Si March 14, 2013 1 Bounding the Margin We are continuing the proof of a bound on the generalization error of AdaBoost
More informationOPTIMIZATION OF SPECIFIC FACTORS TO PRODUCE SPECIAL ALLOYS
5 th International Conference Coputational Mechanics and Virtual Engineering COMEC 2013 24-25 October 2013, Braşov, Roania OPTIMIZATION OF SPECIFIC FACTORS TO PRODUCE SPECIAL ALLOYS I. Milosan 1 1 Transilvania
More informationLeast Squares Fitting of Data
Least Squares Fitting of Data David Eberly, Geoetric Tools, Redond WA 98052 https://www.geoetrictools.co/ This work is licensed under the Creative Coons Attribution 4.0 International License. To view a
More informationAPPROXIMATION BY GENERALIZED FABER SERIES IN BERGMAN SPACES ON INFINITE DOMAINS WITH A QUASICONFORMAL BOUNDARY
NEW ZEALAND JOURNAL OF MATHEMATICS Volue 36 007, 11 APPROXIMATION BY GENERALIZED FABER SERIES IN BERGMAN SPACES ON INFINITE DOMAINS WITH A QUASICONFORMAL BOUNDARY Daniyal M. Israfilov and Yunus E. Yildirir
More informationCMES. Computer Modeling in Engineering & Sciences. Tech Science Press. Reprinted from. Founder and Editor-in-Chief: Satya N.
Reprinted fro CMES Coputer Modeling in Engineering & Sciences Founder and Editor-in-Chief: Satya N. Atluri ISSN: 156-149 print ISSN: 156-1506 on-line Tech Science Press Copyright 009 Tech Science Press
More informationRECOVERY OF A DENSITY FROM THE EIGENVALUES OF A NONHOMOGENEOUS MEMBRANE
Proceedings of ICIPE rd International Conference on Inverse Probles in Engineering: Theory and Practice June -8, 999, Port Ludlow, Washington, USA : RECOVERY OF A DENSITY FROM THE EIGENVALUES OF A NONHOMOGENEOUS
More informationHomework 3 Solutions CSE 101 Summer 2017
Hoework 3 Solutions CSE 0 Suer 207. Scheduling algoriths The following n = 2 jobs with given processing ties have to be scheduled on = 3 parallel and identical processors with the objective of iniizing
More informationCS Lecture 13. More Maximum Likelihood
CS 6347 Lecture 13 More Maxiu Likelihood Recap Last tie: Introduction to axiu likelihood estiation MLE for Bayesian networks Optial CPTs correspond to epirical counts Today: MLE for CRFs 2 Maxiu Likelihood
More information13 Harmonic oscillator revisited: Dirac s approach and introduction to Second Quantization
3 Haronic oscillator revisited: Dirac s approach and introduction to Second Quantization. Dirac cae up with a ore elegant way to solve the haronic oscillator proble. We will now study this approach. The
More informationEE5900 Spring Lecture 4 IC interconnect modeling methods Zhuo Feng
EE59 Spring Parallel LSI AD Algoriths Lecture I interconnect odeling ethods Zhuo Feng. Z. Feng MTU EE59 So far we ve considered only tie doain analyses We ll soon see that it is soeties preferable to odel
More informationOptimal Control of Nonlinear Systems Using the Shifted Legendre Polynomials
Optial Control of Nonlinear Systes Using Shifted Legendre Polynoi Rahan Hajohaadi 1, Mohaad Ali Vali 2, Mahoud Saavat 3 1- Departent of Electrical Engineering, Shahid Bahonar University of Keran, Keran,
More informationwhich together show that the Lax-Milgram lemma can be applied. (c) We have the basic Galerkin orthogonality
UPPSALA UNIVERSITY Departent of Inforation Technology Division of Scientific Coputing Solutions to exa in Finite eleent ethods II 14-6-5 Stefan Engblo, Daniel Elfverson Question 1 Note: a inus sign in
More informationThe Wilson Model of Cortical Neurons Richard B. Wells
The Wilson Model of Cortical Neurons Richard B. Wells I. Refineents on the odgkin-uxley Model The years since odgkin s and uxley s pioneering work have produced a nuber of derivative odgkin-uxley-like
More informationOn Conditions for Linearity of Optimal Estimation
On Conditions for Linearity of Optial Estiation Erah Akyol, Kuar Viswanatha and Kenneth Rose {eakyol, kuar, rose}@ece.ucsb.edu Departent of Electrical and Coputer Engineering University of California at
More informationResearch Article Approximate Multidegree Reduction of λ-bézier Curves
Matheatical Probles in Engineering Volue 6 Article ID 87 pages http://dxdoiorg//6/87 Research Article Approxiate Multidegree Reduction of λ-bézier Curves Gang Hu Huanxin Cao and Suxia Zhang Departent of
More informationUNIVERSITY OF TRENTO ON THE USE OF SVM FOR ELECTROMAGNETIC SUBSURFACE SENSING. A. Boni, M. Conci, A. Massa, and S. Piffer.
UIVRSITY OF TRTO DIPARTITO DI IGGRIA SCIZA DLL IFORAZIO 3823 Povo Trento (Italy) Via Soarive 4 http://www.disi.unitn.it O TH US OF SV FOR LCTROAGTIC SUBSURFAC SSIG A. Boni. Conci A. assa and S. Piffer
More informationlecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 38: Linear Multistep Methods: Absolute Stability, Part II
lecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 3: Linear Multistep Methods: Absolute Stability, Part II 5.7 Linear ultistep ethods: absolute stability At this point, it ay well
More informationAn Improved Particle Filter with Applications in Ballistic Target Tracking
Sensors & ransducers Vol. 72 Issue 6 June 204 pp. 96-20 Sensors & ransducers 204 by IFSA Publishing S. L. http://www.sensorsportal.co An Iproved Particle Filter with Applications in Ballistic arget racing
More informationACTIVE VIBRATION CONTROL FOR STRUCTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAKE EXCITATION
International onference on Earthquae Engineering and Disaster itigation, Jaarta, April 14-15, 8 ATIVE VIBRATION ONTROL FOR TRUTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAE EXITATION Herlien D. etio
More informationList Scheduling and LPT Oliver Braun (09/05/2017)
List Scheduling and LPT Oliver Braun (09/05/207) We investigate the classical scheduling proble P ax where a set of n independent jobs has to be processed on 2 parallel and identical processors (achines)
More informationKinetic Theory of Gases: Elementary Ideas
Kinetic Theory of Gases: Eleentary Ideas 17th February 2010 1 Kinetic Theory: A Discussion Based on a Siplified iew of the Motion of Gases 1.1 Pressure: Consul Engel and Reid Ch. 33.1) for a discussion
More informationP016 Toward Gauss-Newton and Exact Newton Optimization for Full Waveform Inversion
P016 Toward Gauss-Newton and Exact Newton Optiization for Full Wavefor Inversion L. Métivier* ISTerre, R. Brossier ISTerre, J. Virieux ISTerre & S. Operto Géoazur SUMMARY Full Wavefor Inversion FWI applications
More informationON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical and Matheatical Sciences 04,, p. 7 5 ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD M a t h e a t i c s Yu. A. HAKOPIAN, R. Z. HOVHANNISYAN
More informationP032 3D Seismic Diffraction Modeling in Multilayered Media in Terms of Surface Integrals
P032 3D Seisic Diffraction Modeling in Multilayered Media in Ters of Surface Integrals A.M. Aizenberg (Institute of Geophysics SB RAS, M. Ayzenberg* (Norwegian University of Science & Technology, H.B.
More informationProbabilistic Machine Learning
Probabilistic Machine Learning by Prof. Seungchul Lee isystes Design Lab http://isystes.unist.ac.kr/ UNIST Table of Contents I.. Probabilistic Linear Regression I... Maxiu Likelihood Solution II... Maxiu-a-Posteriori
More informationSupport Vector Machines. Goals for the lecture
Support Vector Machines Mark Craven and David Page Coputer Sciences 760 Spring 2018 www.biostat.wisc.edu/~craven/cs760/ Soe of the slides in these lectures have been adapted/borrowed fro aterials developed
More informationGeneralized Rayleigh Wave Dispersion in a Covered Half-space Made of Viscoelastic Materials
Copyright 7 Tech Science Press CMC vol.53 no.4 pp.37-34 7 Generalized Rayleigh Wave Dispersion in a Covered Half-space Made of Viscoelastic Materials S.D. Akbarov and M. Negin 3 Abstract: Dispersion of
More informationBlock designs and statistics
Bloc designs and statistics Notes for Math 447 May 3, 2011 The ain paraeters of a bloc design are nuber of varieties v, bloc size, nuber of blocs b. A design is built on a set of v eleents. Each eleent
More informationConvexity-Based Optimization for Power-Delay Tradeoff using Transistor Sizing
Convexity-Based Optiization for Power-Delay Tradeoff using Transistor Sizing Mahesh Ketkar, and Sachin S. Sapatnekar Departent of Electrical and Coputer Engineering University of Minnesota, Minneapolis,
More informationGraphical Models in Local, Asymmetric Multi-Agent Markov Decision Processes
Graphical Models in Local, Asyetric Multi-Agent Markov Decision Processes Ditri Dolgov and Edund Durfee Departent of Electrical Engineering and Coputer Science University of Michigan Ann Arbor, MI 48109
More informationNumerical issues in the implementation of high order polynomial multidomain penalty spectral Galerkin methods for hyperbolic conservation laws
Nuerical issues in the ipleentation of high order polynoial ultidoain penalty spectral Galerkin ethods for hyperbolic conservation laws Sigal Gottlieb 1 and Jae-Hun Jung 1, 1 Departent of Matheatics, University
More informationTime-Periodic Solutions of the Einstein s Field Equations
Tie-Periodic Solutions of the Einstein s Field Equations De-Xing Kong 1 and Kefeng Liu 1 Departent of Matheatics Zhejiang University Hangzhou 31007 China Departent of Matheatics University of California
More information3D acoustic wave modeling with a time-space domain dispersion-relation-based Finite-difference scheme
P-8 3D acoustic wave odeling with a tie-space doain dispersion-relation-based Finite-difference schee Yang Liu * and rinal K. Sen State Key Laboratory of Petroleu Resource and Prospecting (China University
More informationIntroduction to Discrete Optimization
Prof. Friedrich Eisenbrand Martin Nieeier Due Date: March 9 9 Discussions: March 9 Introduction to Discrete Optiization Spring 9 s Exercise Consider a school district with I neighborhoods J schools and
More informations = (Y Q Y P)/(X Q - X P)
Elliptic Curves and their Applications in Cryptography Preeti Shara M.Tech Student Mody University of Science and Technology, Lakshangarh Abstract This paper gives an introduction to elliptic curves. The
More informationSupport Vector Machines. Machine Learning Series Jerry Jeychandra Blohm Lab
Support Vector Machines Machine Learning Series Jerry Jeychandra Bloh Lab Outline Main goal: To understand how support vector achines (SVMs) perfor optial classification for labelled data sets, also a
More informationKinetic Theory of Gases: Elementary Ideas
Kinetic Theory of Gases: Eleentary Ideas 9th February 011 1 Kinetic Theory: A Discussion Based on a Siplified iew of the Motion of Gases 1.1 Pressure: Consul Engel and Reid Ch. 33.1) for a discussion of
More informationPolygonal Designs: Existence and Construction
Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G
More informationProc. of the IEEE/OES Seventh Working Conference on Current Measurement Technology UNCERTAINTIES IN SEASONDE CURRENT VELOCITIES
Proc. of the IEEE/OES Seventh Working Conference on Current Measureent Technology UNCERTAINTIES IN SEASONDE CURRENT VELOCITIES Belinda Lipa Codar Ocean Sensors 15 La Sandra Way, Portola Valley, CA 98 blipa@pogo.co
More informationHomotopy Analysis Method for Solving Fuzzy Integro-Differential Equations
Modern Applied Science; Vol. 7 No. 3; 23 ISSN 93-844 E-ISSN 93-82 Published by Canadian Center of Science Education Hootopy Analysis Method for Solving Fuzzy Integro-Differential Equations Ean A. Hussain
More informationA Self-Organizing Model for Logical Regression Jerry Farlow 1 University of Maine. (1900 words)
1 A Self-Organizing Model for Logical Regression Jerry Farlow 1 University of Maine (1900 words) Contact: Jerry Farlow Dept of Matheatics Univeristy of Maine Orono, ME 04469 Tel (07) 866-3540 Eail: farlow@ath.uaine.edu
More information