An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method

Size: px
Start display at page:

Download "An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method"

Transcription

1 Internatonal Journal of Computatonal and Appled Mathematcs. ISSN Volume, Number (07), pp Research Inda Publcatons An Accurate Evaluaton of Integrals n Convex and Non convex Polygonal Doman by Twelve Node Quadrlateral Fnte Element Method K.T.Shvaram, H.R. Jyoth and A.M. Yogtha Department of Mathematcs, Dayananda Sagar College of Engneerng, Bangalore , Karnataka, Inda. Department of Mathematcs, Ghousa College of Engneerng, Ramanagara-5659, Karnataka, Inda. Department of Mathematcs, Cty Engneerng College, Bangalore , Karnataka, Inda. Abstract In ths paper, we present Gauss Legendre quadrature method to fnd numercally approxmated by ntegral of arbtrary functon over convex and non convex polygonal doman. These doman are dscretsed nto twelve noded quadrlateral element, Dervng a new Gaussan quadrature formula for generatng samplng ponts and ts weght coeffcents. Numercal results are provded to ustfy the usefulness of the proposed method. Keywords: Fnte Element Method, Gauss Legendre quadrature, Convex and Non convex polygonal doman.. INTRODUCTION The Fnte element method s a numercal method used to obtan approxmate soluton of ntegral equatons are typcally occurs n Boundary element method (BEM) and Surface fnte element method (SFM) for solvng partal dfferental equaton on surface whch requres surface ntegrals, the ntegral arsng n practcal problems are not always smple and some quadrature scheme cannot evaluate exactly. Numercal evaluaton of ntegrals over trangle and square regon are smple but convex and non convex polygonal regon are challengng task to ntegraton of arbtrary functon, the method proposed here s termed as Gauss Legendre quadrature rule.

2 34 K.T.Shvaram, H.R. Jyoth and A.M. Yogtha From the lterature of revew we ponted out that numercal ntegraton of arbtrary functon over trangle and quadrlateral regon have been carred out [-7], numercal ntegraton of arbtrary functon over polygonal doman are dscussed n [ 8-0] and numercal ntegraton of arbtrary functon over polygonal doman by splne fnte element method are dscussed n [0,], numercal ntegraton of arbtrary functon over convex and non convex polygonal doman by 4 node and 8- noded quadrlateral elements by usng generalzed Gaussan quadrature rule [,3 ]. In ths paper we dvded the polygonal doman nto node quadrlateral element and then we apply Gauss Legendre quadrature rule to evaluate the numercal ntegraton of arbtrary functon over convex and non convex polygonal regon. The paper s organzed as follows. In secton. we present the mathematcal formulaton requred for understandng the dervaton and dscretsed the convex and Non convex polygonal doman nto sub - node quadrlateral elements secton 3 and 4. derve a new Gaussan quadrature formula over a convex and non convex regon to calculate samplng ponts and weght coeffcents of varous order and also plotted the extracted samplng ponts n both convex and non convex regon. In secton 5. we compare the numercal results wth some llustratve examples.. FORMULATION OF INTEGRALS OVER A LINEAR CONVEX QUADRILATERAL ELEMENT The ntegral of an arbtrary functon f ( x, over an arbtrary convex quadrlateral regon Ω s gven by I = f(x, dxdy Ω () I f ( x, dxdy () Let us consder an arbtrary - node quadrlateral element n the global coordnate s mapped nto - square n the local coordnate (ξ, η). The sopermetrc coordnate transformaton from (ξ, plane to (ξ, η) s gven by ( x y ) = (x k k= ) N y k k (ξ, η) (3) Where (x k, y k ), (k=,, 3, 4, 5, 6, 7, 8, 9, 0,, ) are the vertces of the quadrlateral element n (ξ, plane and N k (ξ, η) denotes the shape functon of node k such that N = 3 ( x)( ( 0 + 9(x + y ) N = 9 3 ( ( 3x)( x ) N3 = 9 3 ( ( + 3x)( x ) N4 = 3 ( + x)( ( 0 + 9(x + y )

3 An Accurate Evaluaton of Integrals n Convex and Non convex Polygonal Doman 35 N5 = 9 3 ( + x)( 3( y ) N6 = 9 3 ( + x)( + 3( y ) N7 = 3 ( + x)( + ( 0 + 9(x + y ) N8 = 9 3 ( + ( + 3x)( x ) N9 = 9 3 ( + ( 3x)( x ) N0 = 3 ( x)( + ( 0 + 9(x + y ) N = 9 3 ( x)( + 3( y ) N = 9 3 ( x)( 3( y ) J = (x, = x (ξ,η) ξ Where x = ξ and y ξ = k= x k k= y k y x η η S k ξ, x y ξ S k ξ, y η = η = k= x k k= y k S k η S k η (a) Fg. (a) Convex polygonal Doman (b) (b) Non convex polygonal Doman

4 36 K.T.Shvaram, H.R. Jyoth and A.M. Yogtha we test the ntegral doman s shown n Fg. (a) wth two quadrlateral elements n convex polygonal doman wth vertces are (0, 0.5), (0., 0), (0.7,0.), (, 0.5),(0.75, 0.85) and (0.5, ) and Fg. (b) wth fve quadrlateral elements n non convex polygonal doman wth vertces are (0, 0.75), (0.5, 0.5), (0.5, 0), (0.75, 0.5), (0.75, 0), (, 0.5), (0.75, 0.75), (.0, 0.9), (0.5, ), (0.875, 0.65) and (0.5, 0.75) 3. GAUSS LEGENDRE QUADRATURE OVER A NODE CONVEX REGION Integral form of Eq. () rewrtten as I = f(x, dxdy + f(x, dxdy Q Q I = f(x(ξ, η), y(ξ, η)) J dξ dη f ( m( n( Jd d f ( m( n( J d d m n = w w [ f ( m(, ), n(, )) J f ( m(, ), n(, )) J] Where m = ξ η η ξ ξ η η ξ η 3 ξ n = ξ η η ξ ξ η η ξ η 3 ξ J = ξ η ξ η η ξ ξ 4 η ξ η η ξ η 4 ξ ξ η ξ η η ξ ξ η η 4 ξ η ξ 3 m = η η ξ η ξ η ξ η 3 ξ ξ n = η η ξ η ξ η ξ η 3 ξ ξ J = η ξ η η ξ ξ 4 η ξ η η ξ η 4 ξ ξ η η 4 ξ η ξ η η ξ η ξ ξ ξ

5 An Accurate Evaluaton of Integrals n Convex and Non convex Polygonal Doman 37 Where ξ, η are samplng ponts and w, w weght coeffcents to computed the samplng ponts and correspondng weghts of order N = 5, 0, 5 and plotted the dstrbuton of samplng ponts n convex polygonal doman of varous order N = 5 N = 0 Fg. Dstrbuton of Samplng ponts n convex polygonal doman 4. GAUSS LEGENDRE QUADRATURE OVER A NODED NON CONVEX REGION Integral form of Eq. () rewrtten as I f ( x, dxdy f ( x, dxdy f ( x, dxdy f ( x, dxdy f ( x, dxdy Q Q Q3 I = f(x(ξ, η), y(ξ, η)) J dξ dη f ( m4( n4( J 4d d f ( m5( n5( J5d d f ( m( n( Jd d f ( m( n( J d d f ( m3( n3( J3d d m n = w w [ f ( m(, ), n(, )) J f ( m(, ), n(, )) J f ( m3(, ), n3(, )) J3 f ( m4(, ), n4(, )) J4 f ( m5(, ), n5(, )) J5] Where m = ξ ξ 3 η ξη ξη η ξ η n = ξ ξ 3 η ξη ξ η η ξ η Q4 Q5

6 38 K.T.Shvaram, H.R. Jyoth and A.M. Yogtha J = ξ η η ξ ξ ξ η ηξ ξ 4 η ξ η η ξ η 4 ξ ξη ξ 3 η η 4 ξ η ξ η m = 0.385ξη ξ η ξ 3 η ξη ξ η n = ξη ξ η ξ 3 η ξη ξ η J = ξ η η ξ ξ 4 η ξ η η ξ η 4 ξ ξη η ξ ξ η ξ η η 4 ξ ξ 3 η ξ η m3 = ξη ξ η ξ 3 η ξη η ξ n3 = ξη ξ η ξ 3 η ξη ξ η J3 = ηξ η ξ η 4 ξ ξ 4 η ξ η ξη η η ξ ξ ξ η η 4 ξ ξ 3 η ξ η η ξ m4 = ξη η ξ ξ 3 η ξη η ξ n4 = η ξ η ξ J4 = ηξ ξ 4 η η ξ η ξ η ξ ξη ξη η ξ ξ 3 η ξ η 4 m5 = ξ ξ 3 n5 = η ξ ξη η ξ ξ 3 η ξη 3 J5 = ηξ ξ ξ 4 η ξ η ξ η η samplng ponts and correspondng weghts are calculated by the above equatons for order N = 5, 0, 5 and plotted the dstrbuton of samplng ponts n Non convex polygonal doman

7 An Accurate Evaluaton of Integrals n Convex and Non convex Polygonal Doman 39 (a) N = 0 (b) N = 5 Fg. 3 Dstrbuton of Samplng ponts n Non convex polygonal doman 5. NUMERICAL RESULTS We have compared the numercal results obtaned usng Gauss Legendre quadrature rule wth that of numercal results arrved n [0] and [] of varous order N = 5, 0, 5 and are tabulated n Table and TABLE. Convex regon Exact value Order Computed value 00(( x 0.5) ( y 0.5) ) e dxdy C N= [Ref. 0] C ( x 0.5) ( y 0.5) [Ref. 0 ] C x y 0. 5 dxdy [Ref. 0 ] C 3 4x 3y dxdy [Ref. 0 ] dxdy N=0 N=0 N=

8 40 K.T.Shvaram, H.R. Jyoth and A.M. Yogtha TABLE. 3 Non convex regon Exact value Order Relatve error Relatve error[] 00(( x 0.5) ( y 0.5) ) e dxdy N N= = N ( x 0.5) ( y 0.5) dxdy = N= ( x ) N ( y ) = N 3 4x 3y dxdy = dxdy N=0 N= CONCLUSIONS In ths paper, Gauss Legendre quadrature rule s appled for the numercal ntegraton of arbtrary functon over convex and non convex polygonal doman s dscretsed nto noded quadrlateral element The results obtaned are n excellent agreement wth exact values. REFERENCES [] O. C. Zenkewcz, R. L. Taylor and J. Z. Zhu, The Fnte Element Method, ts bass and fundamentals, Sξth edton, Butterworth- Henemann, An Imprnt of Elsever (000). [] C. T. Reddy, D. J. Shppy, Alternatve ntegraton formulae for trangular fnte elements, Int. J. Numer. Methods Eng 7 (98) pp [3] Md. Shafqual Islam and M. Alamgr Hossan, Numercal ntegraton over an arbtrary quadrlateral regon, Appl. Math. Computaton, Elsever (009) [4] D. A. Dunavant, Hgh degree effcent symmetrcal Gaussan Quadrature rules for trangle, Int. J. Numer. Methods Eng (985) [5] D. A. Dunavant, Hgh degree effcent symmetrcal Gaussan Quadrature rules for trangle, Int. J. Numer. Methods Eng (985) 9-48.

9 An Accurate Evaluaton of Integrals n Convex and Non convex Polygonal Doman 4 [6] G. Lague, R. Baldur, Eξtended numercal ntegraton method for trangular surfaces, Int. J. Numer. Methods Eng. (977) [7] K.T. Shvaram, Generalsed Gaussan Quadrature over a Trangle, Amercan Journal of Engneerng Research. Vol. 0, Issue-09, pp.90 93, 03. [8] S. E. Mousav, H. Ξao and N. Sukumar, Generalzed Gaussan Quadrature Rules on Arbtrary Polygons, Int. J. Numer. Meth. Engng 009, pp. 6 [9] M. A. Hossan and Md. Shafqul Islam, Generalsed Composte ntegraton rule over a polygon usng, Gaussan quadratue, Dhaka Un. J. Sc. 6() 5-9, Jan 04 [0] Chong- Jun L, Paola Lambert and Catterna Dagnno, Numercal ntegraton over polygons usng an eght- node quadrlateral splne fnte elements, Journal of Computatonal and Appled Mathematcs, 33(009),pp.79-9 [] Chong- Jun L, Catterna Dagnno, An adaptve numercal ntegraton algorthm for polygons, Journal of Appled Numercal Mathematcs, 60(00),pp [] K.T. Shvaram, Numercal Integraton of arbtrary functons over a Convex and Non convex polygonal doman by Eght noded Lnear quadrlateral Fnte Element Method, Australan Journal of Basc and Appled Scences, vol. 0, pp.04-0 (06) [3] K.T. Shvaram, Yogtha.A, Numercal Integraton of Arbtrary Functons over a Convex and non convex polygonal doman by quadrature method, Journal of Mathematcal and Computatonal Scence, vol.6, pp.77-86, (06) [4] K.T. Shvaram, Generalsed Gaussan Quadrature Rules over an arbtrary Tetrahedron n Eucldean Three- Dmensonal Space, Internatonal Journal of Appled Engneerng Research. Vol.8, pp , Number 3 (03) [5] K.T.Shvaram, H.T Prakasha, Numercal Integraton of Hghly Oscllatng Functons usng Quadrature Method, Global Journal of Pure and appled Mathematcs, Vol., pp ( 06)

10 4 K.T.Shvaram, H.R. Jyoth and A.M. Yogtha

2x x l. Module 3: Element Properties Lecture 4: Lagrange and Serendipity Elements

2x x l. Module 3: Element Properties Lecture 4: Lagrange and Serendipity Elements Module 3: Element Propertes Lecture : Lagrange and Serendpty Elements 5 In last lecture note, the nterpolaton functons are derved on the bass of assumed polynomal from Pascal s trangle for the fled varable.

More information

Very simple computational domains can be discretized using boundary-fitted structured meshes (also called grids)

Very simple computational domains can be discretized using boundary-fitted structured meshes (also called grids) Structured meshes Very smple computatonal domans can be dscretzed usng boundary-ftted structured meshes (also called grds) The grd lnes of a Cartesan mesh are parallel to one another Structured meshes

More information

Sum of Linear and Fractional Multiobjective Programming Problem under Fuzzy Rules Constraints

Sum of Linear and Fractional Multiobjective Programming Problem under Fuzzy Rules Constraints Australan Journal of Basc and Appled Scences, 2(4): 1204-1208, 2008 ISSN 1991-8178 Sum of Lnear and Fractonal Multobjectve Programmng Problem under Fuzzy Rules Constrants 1 2 Sanjay Jan and Kalash Lachhwan

More information

Module 6: FEM for Plates and Shells Lecture 6: Finite Element Analysis of Shell

Module 6: FEM for Plates and Shells Lecture 6: Finite Element Analysis of Shell Module 6: FEM for Plates and Shells Lecture 6: Fnte Element Analyss of Shell 3 6.6. Introducton A shell s a curved surface, whch by vrtue of ther shape can wthstand both membrane and bendng forces. A shell

More information

Structured Grid Generation Via Constraint on Displacement of Internal Nodes

Structured Grid Generation Via Constraint on Displacement of Internal Nodes Internatonal Journal of Basc & Appled Scences IJBAS-IJENS Vol: 11 No: 4 79 Structured Grd Generaton Va Constrant on Dsplacement of Internal Nodes Al Ashrafzadeh, Razeh Jalalabad Abstract Structured grd

More information

Radial Basis Functions

Radial Basis Functions Radal Bass Functons Mesh Reconstructon Input: pont cloud Output: water-tght manfold mesh Explct Connectvty estmaton Implct Sgned dstance functon estmaton Image from: Reconstructon and Representaton of

More information

Accounting for the Use of Different Length Scale Factors in x, y and z Directions

Accounting for the Use of Different Length Scale Factors in x, y and z Directions 1 Accountng for the Use of Dfferent Length Scale Factors n x, y and z Drectons Taha Soch (taha.soch@kcl.ac.uk) Imagng Scences & Bomedcal Engneerng, Kng s College London, The Rayne Insttute, St Thomas Hosptal,

More information

Quality Improvement Algorithm for Tetrahedral Mesh Based on Optimal Delaunay Triangulation

Quality Improvement Algorithm for Tetrahedral Mesh Based on Optimal Delaunay Triangulation Intellgent Informaton Management, 013, 5, 191-195 Publshed Onlne November 013 (http://www.scrp.org/journal/m) http://dx.do.org/10.36/m.013.5601 Qualty Improvement Algorthm for Tetrahedral Mesh Based on

More information

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS ARPN Journal of Engneerng and Appled Scences 006-017 Asan Research Publshng Network (ARPN). All rghts reserved. NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS Igor Grgoryev, Svetlana

More information

A CLASS OF TRANSFORMED EFFICIENT RATIO ESTIMATORS OF FINITE POPULATION MEAN. Department of Statistics, Islamia College, Peshawar, Pakistan 2

A CLASS OF TRANSFORMED EFFICIENT RATIO ESTIMATORS OF FINITE POPULATION MEAN. Department of Statistics, Islamia College, Peshawar, Pakistan 2 Pa. J. Statst. 5 Vol. 3(4), 353-36 A CLASS OF TRANSFORMED EFFICIENT RATIO ESTIMATORS OF FINITE POPULATION MEAN Sajjad Ahmad Khan, Hameed Al, Sadaf Manzoor and Alamgr Department of Statstcs, Islama College,

More information

Monte Carlo Integration

Monte Carlo Integration Introducton Monte Carlo Integraton Dgtal Image Synthess Yung-Yu Chuang 11/9/005 The ntegral equatons generally don t have analytc solutons, so we must turn to numercal methods. L ( o p,ωo) = L e ( p,ωo)

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

Parallelism for Nested Loops with Non-uniform and Flow Dependences Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr

More information

Machine Learning: Algorithms and Applications

Machine Learning: Algorithms and Applications 14/05/1 Machne Learnng: Algorthms and Applcatons Florano Zn Free Unversty of Bozen-Bolzano Faculty of Computer Scence Academc Year 011-01 Lecture 10: 14 May 01 Unsupervsed Learnng cont Sldes courtesy of

More information

Multiblock method for database generation in finite element programs

Multiblock method for database generation in finite element programs Proc. of the 9th WSEAS Int. Conf. on Mathematcal Methods and Computatonal Technques n Electrcal Engneerng, Arcachon, October 13-15, 2007 53 Multblock method for database generaton n fnte element programs

More information

International Journal of Scientific & Engineering Research, Volume 7, Issue 5, May ISSN Some Polygonal Sum Labeling of Bistar

International Journal of Scientific & Engineering Research, Volume 7, Issue 5, May ISSN Some Polygonal Sum Labeling of Bistar Internatonal Journal of Scentfc & Engneerng Research Volume 7 Issue 5 May-6 34 Some Polygonal Sum Labelng of Bstar DrKAmuthavall SDneshkumar ABSTRACT- A (p q) graph G s sad to admt a polygonal sum labelng

More information

Solitary and Traveling Wave Solutions to a Model. of Long Range Diffusion Involving Flux with. Stability Analysis

Solitary and Traveling Wave Solutions to a Model. of Long Range Diffusion Involving Flux with. Stability Analysis Internatonal Mathematcal Forum, Vol. 6,, no. 7, 8 Soltary and Travelng Wave Solutons to a Model of Long Range ffuson Involvng Flux wth Stablty Analyss Manar A. Al-Qudah Math epartment, Rabgh Faculty of

More information

An Application of the Dulmage-Mendelsohn Decomposition to Sparse Null Space Bases of Full Row Rank Matrices

An Application of the Dulmage-Mendelsohn Decomposition to Sparse Null Space Bases of Full Row Rank Matrices Internatonal Mathematcal Forum, Vol 7, 2012, no 52, 2549-2554 An Applcaton of the Dulmage-Mendelsohn Decomposton to Sparse Null Space Bases of Full Row Rank Matrces Mostafa Khorramzadeh Department of Mathematcal

More information

F Geometric Mean Graphs

F Geometric Mean Graphs Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 2 (December 2015), pp. 937-952 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) F Geometrc Mean Graphs A.

More information

Intra-Parametric Analysis of a Fuzzy MOLP

Intra-Parametric Analysis of a Fuzzy MOLP Intra-Parametrc Analyss of a Fuzzy MOLP a MIAO-LING WANG a Department of Industral Engneerng and Management a Mnghsn Insttute of Technology and Hsnchu Tawan, ROC b HSIAO-FAN WANG b Insttute of Industral

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Decson surface s a hyperplane (lne n 2D) n feature space (smlar to the Perceptron) Arguably, the most mportant recent dscovery n machne learnng In a nutshell: map the data to a predetermned

More information

Type-2 Fuzzy Non-uniform Rational B-spline Model with Type-2 Fuzzy Data

Type-2 Fuzzy Non-uniform Rational B-spline Model with Type-2 Fuzzy Data Malaysan Journal of Mathematcal Scences 11(S) Aprl : 35 46 (2017) Specal Issue: The 2nd Internatonal Conference and Workshop on Mathematcal Analyss (ICWOMA 2016) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES

More information

Determining the Optimal Bandwidth Based on Multi-criterion Fusion

Determining the Optimal Bandwidth Based on Multi-criterion Fusion Proceedngs of 01 4th Internatonal Conference on Machne Learnng and Computng IPCSIT vol. 5 (01) (01) IACSIT Press, Sngapore Determnng the Optmal Bandwdth Based on Mult-crteron Fuson Ha-L Lang 1+, Xan-Mn

More information

Investigations of Topology and Shape of Multi-material Optimum Design of Structures

Investigations of Topology and Shape of Multi-material Optimum Design of Structures Advanced Scence and Tecnology Letters Vol.141 (GST 2016), pp.241-245 ttp://dx.do.org/10.14257/astl.2016.141.52 Investgatons of Topology and Sape of Mult-materal Optmum Desgn of Structures Quoc Hoan Doan

More information

S1 Note. Basis functions.

S1 Note. Basis functions. S1 Note. Bass functons. Contents Types of bass functons...1 The Fourer bass...2 B-splne bass...3 Power and type I error rates wth dfferent numbers of bass functons...4 Table S1. Smulaton results of type

More information

Range images. Range image registration. Examples of sampling patterns. Range images and range surfaces

Range images. Range image registration. Examples of sampling patterns. Range images and range surfaces Range mages For many structured lght scanners, the range data forms a hghly regular pattern known as a range mage. he samplng pattern s determned by the specfc scanner. Range mage regstraton 1 Examples

More information

Some Tutorial about the Project. Computer Graphics

Some Tutorial about the Project. Computer Graphics Some Tutoral about the Project Lecture 6 Rastersaton, Antalasng, Texture Mappng, I have already covered all the topcs needed to fnsh the 1 st practcal Today, I wll brefly explan how to start workng on

More information

UNIT 2 : INEQUALITIES AND CONVEX SETS

UNIT 2 : INEQUALITIES AND CONVEX SETS UNT 2 : NEQUALTES AND CONVEX SETS ' Structure 2. ntroducton Objectves, nequaltes and ther Graphs Convex Sets and ther Geometry Noton of Convex Sets Extreme Ponts of Convex Set Hyper Planes and Half Spaces

More information

A New Approach For the Ranking of Fuzzy Sets With Different Heights

A New Approach For the Ranking of Fuzzy Sets With Different Heights New pproach For the ankng of Fuzzy Sets Wth Dfferent Heghts Pushpnder Sngh School of Mathematcs Computer pplcatons Thapar Unversty, Patala-7 00 Inda pushpndersnl@gmalcom STCT ankng of fuzzy sets plays

More information

Lecture #15 Lecture Notes

Lecture #15 Lecture Notes Lecture #15 Lecture Notes The ocean water column s very much a 3-D spatal entt and we need to represent that structure n an economcal way to deal wth t n calculatons. We wll dscuss one way to do so, emprcal

More information

REAL 03-T-7 March, 2003

REAL 03-T-7 March, 2003 The Regonal Economcs Applcatons Laboratory (REAL) s a cooperatve venture between the Unversty of Illnos and the Federal Reserve Bank of Chcago focusng on the development and use of analytcal models for

More information

Reading. 14. Subdivision curves. Recommended:

Reading. 14. Subdivision curves. Recommended: eadng ecommended: Stollntz, Deose, and Salesn. Wavelets for Computer Graphcs: heory and Applcatons, 996, secton 6.-6., A.5. 4. Subdvson curves Note: there s an error n Stollntz, et al., secton A.5. Equaton

More information

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth

More information

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points;

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points; Subspace clusterng Clusterng Fundamental to all clusterng technques s the choce of dstance measure between data ponts; D q ( ) ( ) 2 x x = x x, j k = 1 k jk Squared Eucldean dstance Assumpton: All features

More information

High-Boost Mesh Filtering for 3-D Shape Enhancement

High-Boost Mesh Filtering for 3-D Shape Enhancement Hgh-Boost Mesh Flterng for 3-D Shape Enhancement Hrokazu Yagou Λ Alexander Belyaev y Damng We z Λ y z ; ; Shape Modelng Laboratory, Unversty of Azu, Azu-Wakamatsu 965-8580 Japan y Computer Graphcs Group,

More information

Complex Filtering and Integration via Sampling

Complex Filtering and Integration via Sampling Overvew Complex Flterng and Integraton va Samplng Sgnal processng Sample then flter (remove alases) then resample onunform samplng: jtterng and Posson dsk Statstcs Monte Carlo ntegraton and probablty theory

More information

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,

More information

Adaptive Fairing of Surface Meshes by Geometric Diffusion

Adaptive Fairing of Surface Meshes by Geometric Diffusion Adaptve Farng of Surface Meshes by Geometrc Dffuson Chandrajt L. Bajaj Department of Computer Scences, Unversty of Texas, Austn, TX 78712 Emal: bajaj@cs.utexas.edu Guolang Xu State Key Lab. of Scentfc

More information

Computers and Mathematics with Applications. Discrete schemes for Gaussian curvature and their convergence

Computers and Mathematics with Applications. Discrete schemes for Gaussian curvature and their convergence Computers and Mathematcs wth Applcatons 57 (009) 87 95 Contents lsts avalable at ScenceDrect Computers and Mathematcs wth Applcatons journal homepage: www.elsever.com/locate/camwa Dscrete schemes for Gaussan

More information

Kinematics of pantograph masts

Kinematics of pantograph masts Abstract Spacecraft Mechansms Group, ISRO Satellte Centre, Arport Road, Bangalore 560 07, Emal:bpn@sac.ernet.n Flght Dynamcs Dvson, ISRO Satellte Centre, Arport Road, Bangalore 560 07 Emal:pandyan@sac.ernet.n

More information

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,

More information

X- Chart Using ANOM Approach

X- Chart Using ANOM Approach ISSN 1684-8403 Journal of Statstcs Volume 17, 010, pp. 3-3 Abstract X- Chart Usng ANOM Approach Gullapall Chakravarth 1 and Chaluvad Venkateswara Rao Control lmts for ndvdual measurements (X) chart are

More information

Monte Carlo 1: Integration

Monte Carlo 1: Integration Monte Carlo : Integraton Prevous lecture: Analytcal llumnaton formula Ths lecture: Monte Carlo Integraton Revew random varables and probablty Samplng from dstrbutons Samplng from shapes Numercal calculaton

More information

A MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS

A MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS Proceedngs of the Wnter Smulaton Conference M E Kuhl, N M Steger, F B Armstrong, and J A Jones, eds A MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS Mark W Brantley Chun-Hung

More information

A 2D pre-processor for finite element programs based on a knowledge-based system

A 2D pre-processor for finite element programs based on a knowledge-based system 5th WSEAS / IASME Internatonal Conference on ENGINEERING EDUCATION (EE'08), Heraklon, Greece, July 22-24, 2008 A 2D pre-processor for fnte element programs based on a knowledge-based system DANIELA CÂRSTEA

More information

A new paradigm of fuzzy control point in space curve

A new paradigm of fuzzy control point in space curve MATEMATIKA, 2016, Volume 32, Number 2, 153 159 c Penerbt UTM Press All rghts reserved A new paradgm of fuzzy control pont n space curve 1 Abd Fatah Wahab, 2 Mohd Sallehuddn Husan and 3 Mohammad Izat Emr

More information

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

Support Vector Machines

Support Vector Machines /9/207 MIST.6060 Busness Intellgence and Data Mnng What are Support Vector Machnes? Support Vector Machnes Support Vector Machnes (SVMs) are supervsed learnng technques that analyze data and recognze patterns.

More information

Machine Learning 9. week

Machine Learning 9. week Machne Learnng 9. week Mappng Concept Radal Bass Functons (RBF) RBF Networks 1 Mappng It s probably the best scenaro for the classfcaton of two dataset s to separate them lnearly. As you see n the below

More information

Mathematics 256 a course in differential equations for engineering students

Mathematics 256 a course in differential equations for engineering students Mathematcs 56 a course n dfferental equatons for engneerng students Chapter 5. More effcent methods of numercal soluton Euler s method s qute neffcent. Because the error s essentally proportonal to the

More information

Barycentric Coordinates. From: Mean Value Coordinates for Closed Triangular Meshes by Ju et al.

Barycentric Coordinates. From: Mean Value Coordinates for Closed Triangular Meshes by Ju et al. Barycentrc Coordnates From: Mean Value Coordnates for Closed Trangular Meshes by Ju et al. Motvaton Data nterpolaton from the vertces of a boundary polygon to ts nteror Boundary value problems Shadng Space

More information

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole Appled Mathematcs, 04, 5, 37-3 Publshed Onlne May 04 n ScRes. http://www.scrp.org/journal/am http://dx.do.org/0.436/am.04.584 The Research of Ellpse Parameter Fttng Algorthm of Ultrasonc Imagng Loggng

More information

An Approach in Coloring Semi-Regular Tilings on the Hyperbolic Plane

An Approach in Coloring Semi-Regular Tilings on the Hyperbolic Plane An Approach n Colorng Sem-Regular Tlngs on the Hyperbolc Plane Ma Louse Antonette N De Las Peñas, mlp@mathscmathadmueduph Glenn R Lago, glago@yahoocom Math Department, Ateneo de Manla Unversty, Loyola

More information

Monte Carlo Rendering

Monte Carlo Rendering Monte Carlo Renderng Last Tme? Modern Graphcs Hardware Cg Programmng Language Gouraud Shadng vs. Phong Normal Interpolaton Bump, Dsplacement, & Envronment Mappng Cg Examples G P R T F P D Today Does Ray

More information

LECTURE : MANIFOLD LEARNING

LECTURE : MANIFOLD LEARNING LECTURE : MANIFOLD LEARNING Rta Osadchy Some sldes are due to L.Saul, V. C. Raykar, N. Verma Topcs PCA MDS IsoMap LLE EgenMaps Done! Dmensonalty Reducton Data representaton Inputs are real-valued vectors

More information

LU Decomposition Method Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America

LU Decomposition Method Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America nbm_sle_sm_ludecomp.nb 1 LU Decomposton Method Jame Trahan, Autar Kaw, Kevn Martn Unverst of South Florda Unted States of Amerca aw@eng.usf.edu nbm_sle_sm_ludecomp.nb 2 Introducton When solvng multple

More information

Proper Choice of Data Used for the Estimation of Datum Transformation Parameters

Proper Choice of Data Used for the Estimation of Datum Transformation Parameters Proper Choce of Data Used for the Estmaton of Datum Transformaton Parameters Hakan S. KUTOGLU, Turkey Key words: Coordnate systems; transformaton; estmaton, relablty. SUMMARY Advances n technologes and

More information

Smoothing Spline ANOVA for variable screening

Smoothing Spline ANOVA for variable screening Smoothng Splne ANOVA for varable screenng a useful tool for metamodels tranng and mult-objectve optmzaton L. Rcco, E. Rgon, A. Turco Outlne RSM Introducton Possble couplng Test case MOO MOO wth Game Theory

More information

A Numerical Technique of Initial and Boundary Value Problems by Galerkin s Weighted Method and Comparison of the Other Approximate Numerical Methods

A Numerical Technique of Initial and Boundary Value Problems by Galerkin s Weighted Method and Comparison of the Other Approximate Numerical Methods Internatonal Journal of Engneerng Research & Technolog (IJERT) ISS: 78-8 Vol 3 Issue, Februar - 4 A umercal Technque of Intal and Boundar Value Problems b Galerkn s Weghted Method and Comparson of the

More information

Non-Split Restrained Dominating Set of an Interval Graph Using an Algorithm

Non-Split Restrained Dominating Set of an Interval Graph Using an Algorithm Internatonal Journal of Advancements n Research & Technology, Volume, Issue, July- ISS - on-splt Restraned Domnatng Set of an Interval Graph Usng an Algorthm ABSTRACT Dr.A.Sudhakaraah *, E. Gnana Deepka,

More information

Monte Carlo 1: Integration

Monte Carlo 1: Integration Monte Carlo : Integraton Prevous lecture: Analytcal llumnaton formula Ths lecture: Monte Carlo Integraton Revew random varables and probablty Samplng from dstrbutons Samplng from shapes Numercal calculaton

More information

Solutions to Programming Assignment Five Interpolation and Numerical Differentiation

Solutions to Programming Assignment Five Interpolation and Numerical Differentiation College of Engneerng and Coputer Scence Mechancal Engneerng Departent Mechancal Engneerng 309 Nuercal Analyss of Engneerng Systes Sprng 04 Nuber: 537 Instructor: Larry Caretto Solutons to Prograng Assgnent

More information

Solving two-person zero-sum game by Matlab

Solving two-person zero-sum game by Matlab Appled Mechancs and Materals Onlne: 2011-02-02 ISSN: 1662-7482, Vols. 50-51, pp 262-265 do:10.4028/www.scentfc.net/amm.50-51.262 2011 Trans Tech Publcatons, Swtzerland Solvng two-person zero-sum game by

More information

Discrete Schemes for Gaussian Curvature and Their Convergence

Discrete Schemes for Gaussian Curvature and Their Convergence Dscrete Schemes for Gaussan Curvature and Ther Convergence Zhqang Xu Guolang Xu Insttute of Computatonal Math. and Sc. and Eng. Computng, Academy of Mathematcs and System Scences, Chnese Academy of Scences,

More information

Computation of Ex-Core Detector Weighting Functions for VVER-440 Using MCNP5

Computation of Ex-Core Detector Weighting Functions for VVER-440 Using MCNP5 Computaton of Ex-Core Detector Weghtng Functons for VVER-440 Usng MCNP5 Gabrel Farkas, Jozef Lpka, Ján Haščík, Vladmír Slugeň Slovak Unversty of Technology, Faculty of Electrcal Engneerng and Informaton

More information

A NOTE ON FUZZY CLOSURE OF A FUZZY SET

A NOTE ON FUZZY CLOSURE OF A FUZZY SET (JPMNT) Journal of Process Management New Technologes, Internatonal A NOTE ON FUZZY CLOSURE OF A FUZZY SET Bhmraj Basumatary Department of Mathematcal Scences, Bodoland Unversty, Kokrajhar, Assam, Inda,

More information

Kent State University CS 4/ Design and Analysis of Algorithms. Dept. of Math & Computer Science LECT-16. Dynamic Programming

Kent State University CS 4/ Design and Analysis of Algorithms. Dept. of Math & Computer Science LECT-16. Dynamic Programming CS 4/560 Desgn and Analyss of Algorthms Kent State Unversty Dept. of Math & Computer Scence LECT-6 Dynamc Programmng 2 Dynamc Programmng Dynamc Programmng, lke the dvde-and-conquer method, solves problems

More information

AP PHYSICS B 2008 SCORING GUIDELINES

AP PHYSICS B 2008 SCORING GUIDELINES AP PHYSICS B 2008 SCORING GUIDELINES General Notes About 2008 AP Physcs Scorng Gudelnes 1. The solutons contan the most common method of solvng the free-response questons and the allocaton of ponts for

More information

Review of approximation techniques

Review of approximation techniques CHAPTER 2 Revew of appromaton technques 2. Introducton Optmzaton problems n engneerng desgn are characterzed by the followng assocated features: the objectve functon and constrants are mplct functons evaluated

More information

Chapter 6 Programmng the fnte element method Inow turn to the man subject of ths book: The mplementaton of the fnte element algorthm n computer programs. In order to make my dscusson as straghtforward

More information

Optimal Quadrilateral Finite Elements on Polygonal Domains

Optimal Quadrilateral Finite Elements on Polygonal Domains J Sc Comput (2017) 70:60 84 DOI 10.1007/s10915-016-0242-5 Optmal Quadrlateral Fnte Elements on Polygonal Domans Hengguang L 1 Qnghu Zhang 2 Receved: 30 January 2015 / Revsed: 21 January 2016 / Accepted:

More information

Cordial and 3-Equitable Labeling for Some Star Related Graphs

Cordial and 3-Equitable Labeling for Some Star Related Graphs Internatonal Mathematcal Forum, 4, 009, no. 31, 1543-1553 Cordal and 3-Equtable Labelng for Some Star Related Graphs S. K. Vadya Department of Mathematcs, Saurashtra Unversty Rajkot - 360005, Gujarat,

More information

Computer Animation and Visualisation. Lecture 4. Rigging / Skinning

Computer Animation and Visualisation. Lecture 4. Rigging / Skinning Computer Anmaton and Vsualsaton Lecture 4. Rggng / Sknnng Taku Komura Overvew Sknnng / Rggng Background knowledge Lnear Blendng How to decde weghts? Example-based Method Anatomcal models Sknnng Assume

More information

Modeling of the Absorption of the Electromagnetic Wave Energy in the Human Head Induced by Cell Phone

Modeling of the Absorption of the Electromagnetic Wave Energy in the Human Head Induced by Cell Phone Journal of Appled Mathematcs and Physcs, 14,, 179-184 Publshed Onlne November 14 n ScRes. http://www.scrp.org/ournal/amp http://dx.do.org/1.436/amp.14.114 Modelng of the Absorpton of the Electromagnetc

More information

Mode III fracture mechanics analysis with Fourier series method

Mode III fracture mechanics analysis with Fourier series method Mode III fracture mechancs analyss wth Fourer seres method F W M Kwok 3 L C Kang, and C R Steele Dvson of ppled Mechancs, Stanford Unversty, Stanford C 94305 numercal scheme based on the Fourer seres method

More information

Smooth Approximation to Surface Meshes of Arbitrary Topology with Locally Blended Radial Basis Functions

Smooth Approximation to Surface Meshes of Arbitrary Topology with Locally Blended Radial Basis Functions 587 Smooth Approxmaton to Surface eshes of Arbtrary Topology wth Locally Blended Radal Bass Functons ngyong Pang 1,, Weyn a 1, Zhgeng Pan and Fuyan Zhang 1 Cty Unversty of Hong Kong, mewma@ctyu.edu.hk

More information

Form-factors Josef Pelikán CGG MFF UK Praha.

Form-factors Josef Pelikán CGG MFF UK Praha. Form-factors 1996-2016 Josef Pelkán CGG MFF UK Praha pepca@cgg.mff.cun.cz http://cgg.mff.cun.cz/~pepca/ FormFactor 2016 Josef Pelkán, http://cgg.mff.cun.cz/~pepca 1 / 23 Form-factor F It ndcates the proporton

More information

Scan Conversion & Shading

Scan Conversion & Shading Scan Converson & Shadng Thomas Funkhouser Prnceton Unversty C0S 426, Fall 1999 3D Renderng Ppelne (for drect llumnaton) 3D Prmtves 3D Modelng Coordnates Modelng Transformaton 3D World Coordnates Lghtng

More information

Polyhedral Compilation Foundations

Polyhedral Compilation Foundations Polyhedral Complaton Foundatons Lous-Noël Pouchet pouchet@cse.oho-state.edu Dept. of Computer Scence and Engneerng, the Oho State Unversty Feb 8, 200 888., Class # Introducton: Polyhedral Complaton Foundatons

More information

Feature Reduction and Selection

Feature Reduction and Selection Feature Reducton and Selecton Dr. Shuang LIANG School of Software Engneerng TongJ Unversty Fall, 2012 Today s Topcs Introducton Problems of Dmensonalty Feature Reducton Statstc methods Prncpal Components

More information

Research Article Quasi-Bézier Curves with Shape Parameters

Research Article Quasi-Bézier Curves with Shape Parameters Hndaw Publshng Corporaton Appled Mathematcs Volume 3, Artcle ID 739, 9 pages http://dxdoorg/55/3/739 Research Artcle Quas-Bézer Curves wth Shape Parameters Jun Chen Faculty of Scence, Nngbo Unversty of

More information

Scan Conversion & Shading

Scan Conversion & Shading 1 3D Renderng Ppelne (for drect llumnaton) 2 Scan Converson & Shadng Adam Fnkelsten Prnceton Unversty C0S 426, Fall 2001 3DPrmtves 3D Modelng Coordnates Modelng Transformaton 3D World Coordnates Lghtng

More information

An efficient method to build panoramic image mosaics

An efficient method to build panoramic image mosaics An effcent method to buld panoramc mage mosacs Pattern Recognton Letters vol. 4 003 Dae-Hyun Km Yong-In Yoon Jong-Soo Cho School of Electrcal Engneerng and Computer Scence Kyungpook Natonal Unv. Abstract

More information

Time Integration Schemes in Dynamic Problems

Time Integration Schemes in Dynamic Problems Internatonal Workshop of Advanced Manufacturng and Automaton (IWAMA 016) Tme Integraton Schemes n Dynamc Problems Effect of Dampng on Numercal Stablty and Accuracy Ashsh Aeran and Hrpa G. Lemu Dept. Mechancal

More information

Dynamic wetting property investigation of AFM tips in micro/nanoscale

Dynamic wetting property investigation of AFM tips in micro/nanoscale Dynamc wettng property nvestgaton of AFM tps n mcro/nanoscale The wettng propertes of AFM probe tps are of concern n AFM tp related force measurement, fabrcaton, and manpulaton technques, such as dp-pen

More information

Bridges and cut-vertices of Intuitionistic Fuzzy Graph Structure

Bridges and cut-vertices of Intuitionistic Fuzzy Graph Structure Internatonal Journal of Engneerng, Scence and Mathematcs (UGC Approved) Journal Homepage: http://www.jesm.co.n, Emal: jesmj@gmal.com Double-Blnd Peer Revewed Refereed Open Access Internatonal Journal -

More information

THREE-DIMENSIONAL UNSTRUCTURED GRID GENERATION FOR FINITE-VOLUME SOLUTION OF EULER EQUATIONS

THREE-DIMENSIONAL UNSTRUCTURED GRID GENERATION FOR FINITE-VOLUME SOLUTION OF EULER EQUATIONS ICAS 2000 CONGRESS THREE-DIMENSIONAL UNSTRUCTURED GRID GENERATION FOR FINITE-VOLUME SOLUTION OF EULER EQUATIONS Karm Mazaher, Shahram Bodaghabad Sharf Unversty of Technology Keywords: Unstructured grd

More information

S.P.H. : A SOLUTION TO AVOID USING EROSION CRITERION?

S.P.H. : A SOLUTION TO AVOID USING EROSION CRITERION? S.P.H. : A SOLUTION TO AVOID USING EROSION CRITERION? Célne GALLET ENSICA 1 place Emle Bloun 31056 TOULOUSE CEDEX e-mal :cgallet@ensca.fr Jean Luc LACOME DYNALIS Immeuble AEROPOLE - Bat 1 5, Avenue Albert

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

More information

G 2 Surface Modeling Using Minimal Mean-Curvature-Variation Flow

G 2 Surface Modeling Using Minimal Mean-Curvature-Variation Flow G 2 Surface Modelng Usng Mnmal Mean-Curvature-Varaton Flow Guolang Xu 1 Qn Zhang 2 1,2 LSEC, Insttute of Computatonal Mathematcs, Academy of Mathematcs and System Scences, Chnese Academy of Scences, Bejng

More information

AC : TEACHING SPREADSHEET-BASED NUMERICAL ANAL- YSIS WITH VISUAL BASIC FOR APPLICATIONS AND VIRTUAL IN- STRUMENTS

AC : TEACHING SPREADSHEET-BASED NUMERICAL ANAL- YSIS WITH VISUAL BASIC FOR APPLICATIONS AND VIRTUAL IN- STRUMENTS AC 2011-1615: TEACHING SPREADSHEET-BASED NUMERICAL ANAL- YSIS WITH VISUAL BASIC FOR APPLICATIONS AND VIRTUAL IN- STRUMENTS Nkunja Swan, South Carolna State Unversty Dr. Swan s currently a Professor at

More information

Data Representation in Digital Design, a Single Conversion Equation and a Formal Languages Approach

Data Representation in Digital Design, a Single Conversion Equation and a Formal Languages Approach Data Representaton n Dgtal Desgn, a Sngle Converson Equaton and a Formal Languages Approach Hassan Farhat Unversty of Nebraska at Omaha Abstract- In the study of data representaton n dgtal desgn and computer

More information

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009.

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009. Farrukh Jabeen Algorthms 51 Assgnment #2 Due Date: June 15, 29. Assgnment # 2 Chapter 3 Dscrete Fourer Transforms Implement the FFT for the DFT. Descrbed n sectons 3.1 and 3.2. Delverables: 1. Concse descrpton

More information

A HIGH-ORDER SPECTRAL (FINITE) VOLUME METHOD FOR CONSERVATION LAWS ON UNSTRUCTURED GRIDS

A HIGH-ORDER SPECTRAL (FINITE) VOLUME METHOD FOR CONSERVATION LAWS ON UNSTRUCTURED GRIDS AIAA-00-058 A HIGH-ORDER SPECTRAL (FIITE) VOLUME METHOD FOR COSERVATIO LAWS O USTRUCTURED GRIDS Z.J. Wang Department of Mechancal Engneerng Mchgan State Unversty, East Lansng, MI 88 Yen Lu * MS T7B-, ASA

More information

GSLM Operations Research II Fall 13/14

GSLM Operations Research II Fall 13/14 GSLM 58 Operatons Research II Fall /4 6. Separable Programmng Consder a general NLP mn f(x) s.t. g j (x) b j j =. m. Defnton 6.. The NLP s a separable program f ts objectve functon and all constrants are

More information

Study on Fuzzy Models of Wind Turbine Power Curve

Study on Fuzzy Models of Wind Turbine Power Curve Proceedngs of the 006 IASME/WSEAS Internatonal Conference on Energy & Envronmental Systems, Chalkda, Greece, May 8-0, 006 (pp-7) Study on Fuzzy Models of Wnd Turbne Power Curve SHU-CHEN WANG PEI-HWA HUANG

More information

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water.

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water. Purpose Theory REFRACTION a. To study the refracton of lght from plane surfaces. b. To determne the ndex of refracton for Acrylc and Water. When a ray of lght passes from one medum nto another one of dfferent

More information

Available online at ScienceDirect. Procedia Environmental Sciences 26 (2015 )

Available online at   ScienceDirect. Procedia Environmental Sciences 26 (2015 ) Avalable onlne at www.scencedrect.com ScenceDrect Proceda Envronmental Scences 26 (2015 ) 109 114 Spatal Statstcs 2015: Emergng Patterns Calbratng a Geographcally Weghted Regresson Model wth Parameter-Specfc

More information

VISCOELASTIC SIMULATION OF BI-LAYER COEXTRUSION IN A SQUARE DIE: AN ANALYSIS OF VISCOUS ENCAPSULATION

VISCOELASTIC SIMULATION OF BI-LAYER COEXTRUSION IN A SQUARE DIE: AN ANALYSIS OF VISCOUS ENCAPSULATION VISCOELASTIC SIMULATION OF BI-LAYER COEXTRUSION IN A SQUARE DIE: AN ANALYSIS OF VISCOUS ENCAPSULATION Mahesh Gupta Mchgan Technologcal Unversty Plastc Flow, LLC Houghton, MI 49931 Hancock, MI 49930 Abstract

More information

Wavefront Reconstructor

Wavefront Reconstructor A Dstrbuted Smplex B-Splne Based Wavefront Reconstructor Coen de Vsser and Mchel Verhaegen 14-12-201212 2012 Delft Unversty of Technology Contents Introducton Wavefront reconstructon usng Smplex B-Splnes

More information

A Robust Method for Estimating the Fundamental Matrix

A Robust Method for Estimating the Fundamental Matrix Proc. VIIth Dgtal Image Computng: Technques and Applcatons, Sun C., Talbot H., Ourseln S. and Adraansen T. (Eds.), 0- Dec. 003, Sydney A Robust Method for Estmatng the Fundamental Matrx C.L. Feng and Y.S.

More information