User Specified non-bonded potentials in gromacs

Size: px
Start display at page:

Download "User Specified non-bonded potentials in gromacs"

Transcription

1 Use Specified non-bonded potentials in gomacs Apil 8, Intoduction On fist appeaances gomacs, unlike MD codes like LAMMPS o DL POLY, appeas to have vey little flexibility with egads to the fom of the intemolecula inteactions as one must eithe choose a Lennad Jones 12-6 potential o a Buckingham inteaction in the [ defaults ] section of the topology file, which will subsequently be used thoughout. Thee is, o so it would seem, no option to define a wacky non-bonded inteaction o to have cetain pais of atom inteacting though a buckingham tem, while the emaining atoms inteact though Lennad-Jones. Thankfully howeve both these options exist although the documentation on how pecisely this should be done is split up in the manual. In the following theefoe we will bing all this infomation togethe into a single document. Fistly though a wod of caution. Obviously Buckingham and Lennad Jones inteactions ae vey standad desciptions fo the non-bonded tems in atoms. Hence, unless you have a specific eason to believe that you special functional fom is equied it is often best to stay with these tied and tusted functions. In addition, although a mixtue of Buckingham and Lennad-Jones tems povides a pefectly easonable desciption of the essential physics, you ente a wold whee thee ae no longe any convenient mixing ules fo the inte atomic foces. As a diect consequence thee ae going to be many moe tems that must be fitted in the potential. In shot don t do the following unless you ae confident that you have a sensible potential and a easonable way fo obtaining the coss tems. 1

2 These caveats aside a few wods on non-bonded potentials so as to define some tems. The inte molecula inteactions between atoms can be split into thee pats the electostatic inteaction, the dispesion inteaction and the shot ange epulsion. With this in mind we can wite the two body potential as: V () = q iq j 4πɛ 0 f() + Cg() + Ah() (1) whee the fist second and thid tems ae fom the electostatics, the dispesion and the shot ange epulsion espectively. The f(), g() and h() ae then use defined functions, while A, C and the chages ae the paametes of these functions. Fo the Lennad-Jones inteaction these functions ae: f() = 1 g() = 1 6 g() = 1 12 (2) while fo Buckingham f() and g() ae the same but h() = Ae B, whee B is an additional paamete. Gomacs, unless explicitly told othewise (see section 3), will use the same f(), g() and h() fo all the inte atomic inteactions in the system. One then specifies the paametes (A, C and B) in the topology file and by changing these paametes you can eflect the diffeences in the inteactions between diffeent atomic types. The fom of the inteaction is specified in the [ defaults ] section of the topoology file as follows: [ defaults ] ; nbfunc comb-ule gen-pais fudgelj fudgeqq 1 1 yes Hee only the fist two paametes in this line need concen us. By specifying 1 fo the fist we tell gomacs that we ae using Lennad-Jones inteactions athe than Buckingham tems (2=Buckingham). As a consequence gomacs assumes that two paametes ae equied fo each of the non-bonded inteactions (A and C in equation 1) 1. The second tem tells gomacs what mixing ules should be used and by extension how the paametes in the file should be intepeted. A 1 indicates that gomacs will intepet the paametes in C 1 Obviously if we eplace the 1 hee by a 2 gomacs will expect us to povide A, B and 2

3 the topology file as C and A diectly. 2 and 3 mean that we ae poviding the paametes fo ou Lennad Jones inteactions in epsilon-sigma fom: V () = 4ɛ [ (σ )12 ( σ ) 6 ] We thus poviding the ɛ and σ in the topology file fom which gomacs will calculate A and C using: A = 4ɛσ 12 C = 4ɛσ 6 (4) If you specify you own potentials these paametes must be both set equal to 1. 2 Changing the fom of the global inteaction We now descibe how to use tables to change the functions f(), g() and h() that gomacs uses to calculate inte-atomic inteactions. Fist we will examine how to change the global f(), g() and h() and show an example in which all the atoms inteact though a 9-6 inteaction fo which f(), g() and h() ae equal to: (3) f() = 1 g() = 1 6 g() = 1 9 (5) The mdp file in this file we must tell gomacs that it must ead in a table to get f(), g() and h(). This is a matte of simply including the following commands: vdw-type = use coulombtype = use What is moe the second of these is only equied if we wish to change f(). In the example we ae discussing we don t so we only need the fist command 2 The xvg/table file having told gomacs that it must ead in a table containing f(), g() and h() we must now povide the table. This file 2 We must still specify one of the othe options fo coulombtype - these othe options ae beyond the scope of this document howeve. 3

4 must contain the values of f(), g(), h() and thei deivatives at a seies of values of. Gomacs will then use the cubic splines pocedue descibed in section 6.7 of the manual to calculate the values of the functions fo any value of that occus duing the simulation. This file must be geneated by the use. Each line consists of the values of the vaious functions fo a paticula and consists of seven columns containing, f(), f (), g(), g (), h() and h () 3. You table must contain must go fom = 0 to = c + 1, whee c is the lagest cutoff distance specified in the mdp file. In addition, it is ecommended that the spacing between the adjacent s in you table should equal nm o nm fo the single and double pecision vesions of gomacs espectively. Some example tables can be found in shae/gomacs/top. Fo ou 9-6 inteaction example ou table could be geneated using the following shot fotan code: pogam gen table implicit none eal, paamete :: del=0.002, cut=1.0 eal :: intege :: nbins, j nbins=int( (cut+1)/del ) + 1 do j=0,nbins =del*j 10 wite(6,*), 1/, 1/(*), 1/(**6), 6/(**7), 1/(**9), 9/(**10) end do end pogam Cae must be taken fo = 0 as the code above would obviously poduce infinity o not a numbe fo this case. To esolve this include an if condition that outputs a value of zeo fo f(), f (), g(), g (), h() and h () fo vey small. This will have no effect on the dynamics as no atoms will eve be this close. Finally, note that we have povided meaningful data fo f() and f () despite the fact that we ae not using coulombtype=use. This is equied as gomacs will complain othewise. 3 Accoding to the manual the spline pocedue is diffeent in gomacs 3 and so you table must contain, f(), f (), g(), g (), h() and h () 4

5 The topology file the only emaining job equied is to povide the A and C paametes fo you potential. These must must be placed in the topology file. Fist, howeve ensue that you have set both nbfunc and comb-ule equal to one as descibed in the intoduction. The paametes fo inteactions between atoms of the same type ae then set in the [ atomtypes ] section, which comes immediately afte the defaults section: [ atomtypes ] ; name bond type mass chage ptype C A Na Na A 1.0e e-06 Cl Cl A 2.0e e-06 As fo the coss tems, unless you have specific eason to believe that gomacs will mix the tems coectly using mixing ule 1, you must povide these explicitly in the [ nonbond paams ] section immediately afte the [ atomtypes ] section as follows: [ nonbond paams ] ; i j func C A Na Cl E E-06 Please note that the paametes given above ae complete guff and should not be used in any simulation of sodium chloide. Running a calculation To un the above you then geneate the binay input file using gompp in the nomal way and then un mdun with the -table flag as below: gompp -f md.mdp - p topol.top -c conf.go mdun -table table.xvg When executed gomacs will look in the active diectoy and in shae/gomacs/top fo the xvg file specified afte the table flag. N.B. If thee ae 1-4 pai inteactions in you molecule you must also sepaately specify which table is to be used to calculate them by using the -tablep extension. The fudgelj facto specified in the [ defaults ] section of you topology file is still taken into account in the calculation of these tems. As such unless the fom of the f(), g() and h() functions is diffeent fo the pai inteactions you may un using the following: gompp -f md.mdp - p topol.top -c conf.go mdun -table table.xvg -tablep table.xvg 5

6 3 Specifying the fom fo a paticula inteaction In the pevious section we have seen how to change globally the f(), g() and h() functions. Howeve, what if one simply wants to have a paticula pai of atom types inteacting with diffeent f(), g() and h() functions. Fo example imagine we have sodium chloide in which the Na Na and Cl Cl inteactions ae given by buckingham tems while the Na Cl inteaction has a Lennad Jones fom. Gomacs is able to use tables to esolve this poblem as well. The mdp file Much like in the pevious section we must fist tell gomacs that it will be using a use-defined, tabulated potential using the following flags: vdw-type = use coulombtype = use In addition though we ae also equied to define which f(), g() and h() functions ae to be used fo the vaious inteactions. This is done using the following lines: enegygps = Na Cl enegygp table = Na Na Cl Cl The fist of these tells gomacs that it must deal with the enegies of all the atoms in the enegy goups Na and Cl sepaately - we will etun to this momentaily. The second line meanwhile tells gomacs that it must ead in specific table files in ode to get the f(), g() and h() functions fo the Na Na and Cl Cl inteactions. The emaining inteactions ( the Na Cl in this case ) should be then be calculated using the default table file. If this default table file is called table.xvg then the table containing the Na Na inteactions will be called table Na Na.xvg while the table containing the Cl Cl inteactions will be called table Cl Cl.xvg. The table files Fo ou sodium chloide example gomacs now expects to find thee table files when it is un; namely, table.xvg, table Na Na.xvg and table Cl Cl.xvg. These table files ae set up in the exactly same manne descibed in section 2. It is impotant to note howeve that when a combination of Lennad Jones and Buckingham tems is equied tabulated potentials 6

7 must be used fo all the non-bonded inteactions even fo the Lennad Jones. In ou sodium chloide example the following thee tables ae equied: f() g() h() table.xvg Fo Na Cl table Na Na.xvg e B NaNa Fo Na Na table Cl Cl.xvg e B ClCl Fo Cl Cl In addition, because, when tables ae used gomacs always assumes the non-bonded inteaction to be given by equation 1, sepaate tables ae equied fo each of the buckingham tems as it is only in the table file that the diffeent values fo the B paametes ae taken into account. The index/ndx file The final job, pio to unning gomacs, is to define the Na and Cl enegy goups. These goups ae defined in index file. Fo the following.go file: Some sodium chloide 8 1SOD Na SOD Na SOD Na SOD Na CHL Cl CHL Cl CHL Cl CHL Cl The index file should ead: [ Na ] [ Cl ] as the fist fou atoms in the configuation ae sodium while the emainde ae chloine. Running The topology file is set up in the manne descibed in the pevious section and the calculation is un by executing: gompp -f md.mdp - p topol.top -c conf.go -n index.ndx mdun -table table.xvg with all the table files in the diectoy whee mdun is unning. 7

8 4 Dealing with molecules The pevious sections have shown how poweful gomacs can be in handling inte atomic foces. If you system is molecula all of the above can be used as typically intemolecula inteactions ae calculated as a sum of inteactions between the vaious atoms that make up the molecules. Thee is howeve one impotant caveat egading how the molecules must be defined in the topology file, which we will illustate though the following example. Conside the the following extact fom a topology file which defines a TIP3P wate molecule: [ atoms ] ; at type es n es name at name cg n chage mass 1 OW 1 SOL OW HW 1 SOL HW HW 1 SOL HW Now imagine we set up ou calculation so that the OW OW f(), g() and h() ae diffeent fom the OW HW and HW HW f(), g() and h(). To do this we would put the following in the mdp file: vdw-type = use enegygps = OW enegygp table = OW OW and would set up the tables and index file in the manne descibed in the pevious section. This setup would give a eo when un though gommpp howeve. The eason fo this is elated to the way that gomacs deals with the calculation of neighbo lists and cutoffs. This is done though so called chage goups and the essential poblem is that an enegy goups must contain all contain eithe all o none of the atoms in any given change goup. Howeve, the chage goups ae defined in the topology file in the column headed cg n so by simply changing ou molecule definition to: [ atoms ] ; at type es n es name at name cg n chage mass 1 OW 1 SOL OW HW 1 SOL HW HW 1 SOL HW

9 we can bypass this poblem and do the calculation in the manne equied. Cae must be taken when this pocedue is caied out especially when one is using a cutoff o on the electostatic inteactions fo the easons descibed in section of the manual. Howeve, this should not be a poblem if you ae using pme o ewald electostatics. Thee is an additional poblem if you ae using constaints as you can now no longe use settles to constain the wate molecule and must define the constaints and use LINCS instead. In addition splitting the chage goups in this way means you can only use shake to enfoce the constaints if you un without domain decomposition. 9

(a, b) x y r. For this problem, is a point in the - coordinate plane and is a positive number.

(a, b) x y r. For this problem, is a point in the - coordinate plane and is a positive number. Illustative G-C Simila cicles Alignments to Content Standads: G-C.A. Task (a, b) x y Fo this poblem, is a point in the - coodinate plane and is a positive numbe. a. Using a tanslation and a dilation, show

More information

Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters

Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters Optics and Photonics Jounal, 016, 6, 94-100 Published Online August 016 in SciRes. http://www.scip.og/jounal/opj http://dx.doi.og/10.436/opj.016.68b016 Fequency Domain Appoach fo Face Recognition Using

More information

5 4 THE BERNOULLI EQUATION

5 4 THE BERNOULLI EQUATION 185 CHATER 5 the suounding ai). The fictional wok tem w fiction is often expessed as e loss to epesent the loss (convesion) of mechanical into themal. Fo the idealied case of fictionless motion, the last

More information

Assessment of Track Sequence Optimization based on Recorded Field Operations

Assessment of Track Sequence Optimization based on Recorded Field Operations Assessment of Tack Sequence Optimization based on Recoded Field Opeations Matin A. F. Jensen 1,2,*, Claus G. Søensen 1, Dionysis Bochtis 1 1 Aahus Univesity, Faculty of Science and Technology, Depatment

More information

FACE VECTORS OF FLAG COMPLEXES

FACE VECTORS OF FLAG COMPLEXES FACE VECTORS OF FLAG COMPLEXES ANDY FROHMADER Abstact. A conjectue of Kalai and Eckhoff that the face vecto of an abitay flag complex is also the face vecto of some paticula balanced complex is veified.

More information

Pipes, connections, channels and multiplexors

Pipes, connections, channels and multiplexors Pipes, connections, channels and multiplexos Fancisco J. Ballesteos ABSTRACT Channels in the style of CSP ae a poeful abstaction. The ae close to pipes and connections used to inteconnect system and netok

More information

Conservation Law of Centrifugal Force and Mechanism of Energy Transfer Caused in Turbomachinery

Conservation Law of Centrifugal Force and Mechanism of Energy Transfer Caused in Turbomachinery Poceedings of the 4th WSEAS Intenational Confeence on luid Mechanics and Aeodynamics, Elounda, Geece, August 1-3, 006 (pp337-34) Consevation Law of Centifugal oce and Mechanism of Enegy Tansfe Caused in

More information

a Not yet implemented in current version SPARK: Research Kit Pointer Analysis Parameters Soot Pointer analysis. Objectives

a Not yet implemented in current version SPARK: Research Kit Pointer Analysis Parameters Soot Pointer analysis. Objectives SPARK: Soot Reseach Kit Ondřej Lhoták Objectives Spak is a modula toolkit fo flow-insensitive may points-to analyses fo Java, which enables expeimentation with: vaious paametes of pointe analyses which

More information

Cellular Neural Network Based PTV

Cellular Neural Network Based PTV 3th Int Symp on Applications of Lase Techniques to Fluid Mechanics Lisbon, Potugal, 6-9 June, 006 Cellula Neual Netwok Based PT Kazuo Ohmi, Achyut Sapkota : Depatment of Infomation Systems Engineeing,

More information

DISTRIBUTION MIXTURES

DISTRIBUTION MIXTURES Application Example 7 DISTRIBUTION MIXTURES One fequently deals with andom vaiables the distibution of which depends on vaious factos. One example is the distibution of atmospheic paametes such as wind

More information

Transmission Lines Modeling Based on Vector Fitting Algorithm and RLC Active/Passive Filter Design

Transmission Lines Modeling Based on Vector Fitting Algorithm and RLC Active/Passive Filter Design Tansmission Lines Modeling Based on Vecto Fitting Algoithm and RLC Active/Passive Filte Design Ahmed Qasim Tuki a,*, Nashien Fazilah Mailah b, Mohammad Lutfi Othman c, Ahmad H. Saby d Cente fo Advanced

More information

MIS to Prepress ICS. Version Date: File: ICS-MIS-Prepress-1.01.doc,.pdf. Origination & Prepress WG

MIS to Prepress ICS. Version Date: File: ICS-MIS-Prepress-1.01.doc,.pdf. Origination & Prepress WG MIS to Pepess ICS Vesion 1.01 Date: 2006-01-02 File: ICS-MIS-Pepess-1.01.doc,.pdf Oigination & Pepess WG Abstact This ICS defines the Inteface between the MIS and Pepess. It specifies the Pocesses fo a

More information

Detection and Recognition of Alert Traffic Signs

Detection and Recognition of Alert Traffic Signs Detection and Recognition of Alet Taffic Signs Chia-Hsiung Chen, Macus Chen, and Tianshi Gao 1 Stanfod Univesity Stanfod, CA 9305 {echchen, macuscc, tianshig}@stanfod.edu Abstact Taffic signs povide dives

More information

Configuring RSVP-ATM QoS Interworking

Configuring RSVP-ATM QoS Interworking Configuing RSVP-ATM QoS Intewoking Last Updated: Januay 15, 2013 This chapte descibes the tasks fo configuing the RSVP-ATM QoS Intewoking featue, which povides suppot fo Contolled Load Sevice using RSVP

More information

Gravitational Shift for Beginners

Gravitational Shift for Beginners Gavitational Shift fo Beginnes This pape, which I wote in 26, fomulates the equations fo gavitational shifts fom the elativistic famewok of special elativity. Fist I deive the fomulas fo the gavitational

More information

ADDING REALISM TO SOURCE CHARACTERIZATION USING A GENETIC ALGORITHM

ADDING REALISM TO SOURCE CHARACTERIZATION USING A GENETIC ALGORITHM ADDING REALISM TO SOURCE CHARACTERIZATION USING A GENETIC ALGORITHM Luna M. Rodiguez*, Sue Ellen Haupt, and Geoge S. Young Depatment of Meteoology and Applied Reseach Laboatoy The Pennsylvania State Univesity,

More information

OPTIMAL KINEMATIC SYNTHESIS OF CRANK & SLOTTED LEVER QUICK RETURN MECHANISM FOR SPECIFIC STROKE & TIME RATIO

OPTIMAL KINEMATIC SYNTHESIS OF CRANK & SLOTTED LEVER QUICK RETURN MECHANISM FOR SPECIFIC STROKE & TIME RATIO OPTIMAL KINEMATIC SYNTHESIS OF CRANK & SLOTTED LEVER QUICK RETURN MECHANISM FOR SPECIFIC STROKE & TIME RATIO Zeeshan A. Shaikh 1 and T.Y. Badguja 2 1,2 Depatment of Mechanical Engineeing, Late G. N. Sapkal

More information

RANDOM IRREGULAR BLOCK-HIERARCHICAL NETWORKS: ALGORITHMS FOR COMPUTATION OF MAIN PROPERTIES

RANDOM IRREGULAR BLOCK-HIERARCHICAL NETWORKS: ALGORITHMS FOR COMPUTATION OF MAIN PROPERTIES RANDOM IRREGULAR BLOCK-HIERARCHICAL NETWORKS: ALGORITHMS FOR COMPUTATION OF MAIN PROPERTIES Svetlana Avetisyan Mikayel Samvelyan* Matun Kaapetyan Yeevan State Univesity Abstact In this pape, the class

More information

dc - Linux Command Dc may be invoked with the following command-line options: -V --version Print out the version of dc

dc - Linux Command Dc may be invoked with the following command-line options: -V --version Print out the version of dc - CentOS 5.2 - Linux Uses Guide - Linux Command SYNOPSIS [-V] [--vesion] [-h] [--help] [-e sciptexpession] [--expession=sciptexpession] [-f sciptfile] [--file=sciptfile] [file...] DESCRIPTION is a evese-polish

More information

The Internet Ecosystem and Evolution

The Internet Ecosystem and Evolution The Intenet Ecosystem and Evolution Contents Netwok outing: basics distibuted/centalized, static/dynamic, linkstate/path-vecto inta-domain/inte-domain outing Mapping the sevice model to AS-AS paths valley-fee

More information

Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension

Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension 17th Wold Confeence on Nondestuctive Testing, 25-28 Oct 2008, Shanghai, China Segmentation of Casting Defects in X-Ray Images Based on Factal Dimension Jue WANG 1, Xiaoqin HOU 2, Yufang CAI 3 ICT Reseach

More information

Multidimensional Testing

Multidimensional Testing Multidimensional Testing QA appoach fo Stoage netwoking Yohay Lasi Visuality Systems 1 Intoduction Who I am Yohay Lasi, QA Manage at Visuality Systems Visuality Systems the leading commecial povide of

More information

Journal of World s Electrical Engineering and Technology J. World. Elect. Eng. Tech. 1(1): 12-16, 2012

Journal of World s Electrical Engineering and Technology J. World. Elect. Eng. Tech. 1(1): 12-16, 2012 2011, Scienceline Publication www.science-line.com Jounal of Wold s Electical Engineeing and Technology J. Wold. Elect. Eng. Tech. 1(1): 12-16, 2012 JWEET An Efficient Algoithm fo Lip Segmentation in Colo

More information

GCC-AVR Inline Assembler Cookbook Version 1.2

GCC-AVR Inline Assembler Cookbook Version 1.2 GCC-AVR Inline Assemble Cookbook Vesion 1.2 About this Document The GNU C compile fo Atmel AVR isk pocessos offes, to embed assembly language code into C pogams. This cool featue may be used fo manually

More information

Comparisons of Transient Analytical Methods for Determining Hydraulic Conductivity Using Disc Permeameters

Comparisons of Transient Analytical Methods for Determining Hydraulic Conductivity Using Disc Permeameters Compaisons of Tansient Analytical Methods fo Detemining Hydaulic Conductivity Using Disc Pemeametes 1,,3 Cook, F.J. 1 CSRO Land and Wate, ndoooopilly, Queensland The Univesity of Queensland, St Lucia,

More information

DEADLOCK AVOIDANCE IN BATCH PROCESSES. M. Tittus K. Åkesson

DEADLOCK AVOIDANCE IN BATCH PROCESSES. M. Tittus K. Åkesson DEADLOCK AVOIDANCE IN BATCH PROCESSES M. Tittus K. Åkesson Univesity College Boås, Sweden, e-mail: Michael.Tittus@hb.se Chalmes Univesity of Technology, Gothenbug, Sweden, e-mail: ka@s2.chalmes.se Abstact:

More information

The Processor: Improving Performance Data Hazards

The Processor: Improving Performance Data Hazards The Pocesso: Impoving Pefomance Data Hazads Monday 12 Octobe 15 Many slides adapted fom: and Design, Patteson & Hennessy 5th Edition, 2014, MK and fom Pof. May Jane Iwin, PSU Summay Pevious Class Pipeline

More information

Point-Biserial Correlation Analysis of Fuzzy Attributes

Point-Biserial Correlation Analysis of Fuzzy Attributes Appl Math Inf Sci 6 No S pp 439S-444S (0 Applied Mathematics & Infomation Sciences An Intenational Jounal @ 0 NSP Natual Sciences Publishing o Point-iseial oelation Analysis of Fuzzy Attibutes Hao-En hueh

More information

A Shape-preserving Affine Takagi-Sugeno Model Based on a Piecewise Constant Nonuniform Fuzzification Transform

A Shape-preserving Affine Takagi-Sugeno Model Based on a Piecewise Constant Nonuniform Fuzzification Transform A Shape-peseving Affine Takagi-Sugeno Model Based on a Piecewise Constant Nonunifom Fuzzification Tansfom Felipe Fenández, Julio Gutiéez, Juan Calos Cespo and Gacián Tiviño Dep. Tecnología Fotónica, Facultad

More information

Efficient Execution Path Exploration for Detecting Races in Concurrent Programs

Efficient Execution Path Exploration for Detecting Races in Concurrent Programs IAENG Intenational Jounal of Compute Science, 403, IJCS_40_3_02 Efficient Execution Path Exploation fo Detecting Races in Concuent Pogams Theodous E. Setiadi, Akihiko Ohsuga, and Mamou Maekaa Abstact Concuent

More information

A Memory Efficient Array Architecture for Real-Time Motion Estimation

A Memory Efficient Array Architecture for Real-Time Motion Estimation A Memoy Efficient Aay Achitectue fo Real-Time Motion Estimation Vasily G. Moshnyaga and Keikichi Tamau Depatment of Electonics & Communication, Kyoto Univesity Sakyo-ku, Yoshida-Honmachi, Kyoto 66-1, JAPAN

More information

IP Network Design by Modified Branch Exchange Method

IP Network Design by Modified Branch Exchange Method Received: June 7, 207 98 IP Netwok Design by Modified Banch Method Kaiat Jaoenat Natchamol Sichumoenattana 2* Faculty of Engineeing at Kamphaeng Saen, Kasetsat Univesity, Thailand 2 Faculty of Management

More information

Communication vs Distributed Computation: an alternative trade-off curve

Communication vs Distributed Computation: an alternative trade-off curve Communication vs Distibuted Computation: an altenative tade-off cuve Yahya H. Ezzeldin, Mohammed amoose, Chistina Fagouli Univesity of Califonia, Los Angeles, CA 90095, USA, Email: {yahya.ezzeldin, mkamoose,

More information

Query Language #1/3: Relational Algebra Pure, Procedural, and Set-oriented

Query Language #1/3: Relational Algebra Pure, Procedural, and Set-oriented Quey Language #1/3: Relational Algeba Pue, Pocedual, and Set-oiented To expess a quey, we use a set of opeations. Each opeation takes one o moe elations as input paamete (set-oiented). Since each opeation

More information

Complete Solution to Potential and E-Field of a sphere of radius R and a charge density ρ[r] = CC r 2 and r n

Complete Solution to Potential and E-Field of a sphere of radius R and a charge density ρ[r] = CC r 2 and r n Complete Solution to Potential and E-Field of a sphee of adius R and a chage density ρ[] = CC 2 and n Deive the electic field and electic potential both inside and outside of a sphee of adius R with a

More information

ASSIGN 01: Due Monday Feb 04 PART 1 Get a Sketchbook: 8.5 x 11 (Minimum size 5 x7 ) fo keeping a design jounal and a place to keep poject eseach & ideas. Make sue you have you Dopbox account and/o Flash

More information

On Error Estimation in Runge-Kutta Methods

On Error Estimation in Runge-Kutta Methods Leonado Jounal of Sciences ISSN 1583-0233 Issue 18, Januay-June 2011 p. 1-10 On Eo Estimation in Runge-Kutta Methods Ochoche ABRAHAM 1,*, Gbolahan BOLARIN 2 1 Depatment of Infomation Technology, 2 Depatment

More information

HISTOGRAMS are an important statistic reflecting the

HISTOGRAMS are an important statistic reflecting the JOURNAL OF L A T E X CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 D 2 HistoSketch: Disciminative and Dynamic Similaity-Peseving Sketching of Steaming Histogams Dingqi Yang, Bin Li, Laua Rettig, and Philippe

More information

Towards Adaptive Information Merging Using Selected XML Fragments

Towards Adaptive Information Merging Using Selected XML Fragments Towads Adaptive Infomation Meging Using Selected XML Fagments Ho-Lam Lau and Wilfed Ng Depatment of Compute Science and Engineeing, The Hong Kong Univesity of Science and Technology, Hong Kong {lauhl,

More information

Lecture 27: Voronoi Diagrams

Lecture 27: Voronoi Diagrams We say that two points u, v Y ae in the same connected component of Y if thee is a path in R N fom u to v such that all the points along the path ae in the set Y. (Thee ae two connected components in the

More information

Class 21. N -body Techniques, Part 4

Class 21. N -body Techniques, Part 4 Class. N -body Techniques, Pat Tee Codes Efficiency can be inceased by gouping paticles togethe: Neaest paticles exet geatest foces diect summation. Distant paticles exet smallest foces teat in goups.

More information

The Java Virtual Machine. Compiler construction The structure of a frame. JVM stacks. Lecture 2

The Java Virtual Machine. Compiler construction The structure of a frame. JVM stacks. Lecture 2 Compile constuction 2009 Lectue 2 Code geneation 1: Geneating code The Java Vitual Machine Data types Pimitive types, including intege and floating-point types of vaious sizes and the boolean type. The

More information

ANALYTIC PERFORMANCE MODELS FOR SINGLE CLASS AND MULTIPLE CLASS MULTITHREADED SOFTWARE SERVERS

ANALYTIC PERFORMANCE MODELS FOR SINGLE CLASS AND MULTIPLE CLASS MULTITHREADED SOFTWARE SERVERS ANALYTIC PERFORMANCE MODELS FOR SINGLE CLASS AND MULTIPLE CLASS MULTITHREADED SOFTWARE SERVERS Daniel A Menascé Mohamed N Bennani Dept of Compute Science Oacle, Inc Geoge Mason Univesity 1211 SW Fifth

More information

Getting Started PMW-EX1/PMW-EX3. 1 Rotate the grip with the RELEASE button pressed. Overview. Connecting the Computer and PMW-EX1/EX3

Getting Started PMW-EX1/PMW-EX3. 1 Rotate the grip with the RELEASE button pressed. Overview. Connecting the Computer and PMW-EX1/EX3 A PMW-EX1/PMW-EX3 Getting Stated Oveview This document descibes how to use the XDCAM EX Vesion Up Tool (heeafte Vesion Up Tool ) to upgade the PMW-EX1 and PMW-EX3 to vesion 1.20 (PMW-EX1) o vesion 1.10

More information

Controlled Information Maximization for SOM Knowledge Induced Learning

Controlled Information Maximization for SOM Knowledge Induced Learning 3 Int'l Conf. Atificial Intelligence ICAI'5 Contolled Infomation Maximization fo SOM Knowledge Induced Leaning Ryotao Kamimua IT Education Cente and Gaduate School of Science and Technology, Tokai Univeisity

More information

XFVHDL: A Tool for the Synthesis of Fuzzy Logic Controllers

XFVHDL: A Tool for the Synthesis of Fuzzy Logic Controllers XFVHDL: A Tool fo the Synthesis of Fuzzy Logic Contolles E. Lago, C. J. Jiménez, D. R. López, S. Sánchez-Solano and A. Baiga Instituto de Micoelectónica de Sevilla. Cento Nacional de Micoelectónica, Edificio

More information

Spiral Recognition Methodology and Its Application for Recognition of Chinese Bank Checks

Spiral Recognition Methodology and Its Application for Recognition of Chinese Bank Checks Spial Recognition Methodology and Its Application fo Recognition of Chinese Bank Checks Hanshen Tang 1, Emmanuel Augustin 2, Ching Y. Suen 1, Olivie Baet 2, Mohamed Cheiet 3 1 Cente fo Patten Recognition

More information

MapReduce Optimizations and Algorithms 2015 Professor Sasu Tarkoma

MapReduce Optimizations and Algorithms 2015 Professor Sasu Tarkoma apreduce Optimizations and Algoithms 2015 Pofesso Sasu Takoma www.cs.helsinki.fi Optimizations Reduce tasks cannot stat befoe the whole map phase is complete Thus single slow machine can slow down the

More information

Lecture # 04. Image Enhancement in Spatial Domain

Lecture # 04. Image Enhancement in Spatial Domain Digital Image Pocessing CP-7008 Lectue # 04 Image Enhancement in Spatial Domain Fall 2011 2 domains Spatial Domain : (image plane) Techniques ae based on diect manipulation of pixels in an image Fequency

More information

COSC 6385 Computer Architecture. - Pipelining

COSC 6385 Computer Architecture. - Pipelining COSC 6385 Compute Achitectue - Pipelining Sping 2012 Some of the slides ae based on a lectue by David Culle, Pipelining Pipelining is an implementation technique wheeby multiple instuctions ae ovelapped

More information

INDEXATION OF WEB PAGES BASED ON THEIR VISUAL RENDERING

INDEXATION OF WEB PAGES BASED ON THEIR VISUAL RENDERING INDEXATION OF WEB PAGES BASED ON THEIR VISUAL RENDERING Emmanuel Buno Univesité du Sud Toulon-Va / LSIS CNRS BP 20132, F-83957 La Gade buno@univ-tln.f Nicolas Faessel LSIS CNRS Domaine Univesitaie de Saint-Jéôme

More information

IP Multicast Simulation in OPNET

IP Multicast Simulation in OPNET IP Multicast Simulation in OPNET Xin Wang, Chien-Ming Yu, Henning Schulzinne Paul A. Stipe Columbia Univesity Reutes Depatment of Compute Science 88 Pakway Dive South New Yok, New Yok Hauppuage, New Yok

More information

Adaptation of Motion Capture Data of Human Arms to a Humanoid Robot Using Optimization

Adaptation of Motion Capture Data of Human Arms to a Humanoid Robot Using Optimization ICCAS25 June 2-5, KINTEX, Gyeonggi-Do, Koea Adaptation of Motion Captue Data of Human Ams to a Humanoid Robot Using Optimization ChangHwan Kim and Doik Kim Intelligent Robotics Reseach Cente, Koea Institute

More information

An Unsupervised Segmentation Framework For Texture Image Queries

An Unsupervised Segmentation Framework For Texture Image Queries An Unsupevised Segmentation Famewok Fo Textue Image Queies Shu-Ching Chen Distibuted Multimedia Infomation System Laboatoy School of Compute Science Floida Intenational Univesity Miami, FL 33199, USA chens@cs.fiu.edu

More information

Automatically Testing Interacting Software Components

Automatically Testing Interacting Software Components Automatically Testing Inteacting Softwae Components Leonad Gallaghe Infomation Technology Laboatoy National Institute of Standads and Technology Gaithesbug, MD 20899, USA lgallaghe@nist.gov Jeff Offutt

More information

Any modern computer system will incorporate (at least) two levels of storage:

Any modern computer system will incorporate (at least) two levels of storage: 1 Any moden compute system will incopoate (at least) two levels of stoage: pimay stoage: andom access memoy (RAM) typical capacity 32MB to 1GB cost pe MB $3. typical access time 5ns to 6ns bust tansfe

More information

EE 168 Handout #32 Introduction to Digital Image Processing March 7, 2012 HOMEWORK 7 SOLUTIONS

EE 168 Handout #32 Introduction to Digital Image Processing March 7, 2012 HOMEWORK 7 SOLUTIONS EE 168 Handout #32 Intoduction to Diital Imae Pocessin Mach 7, 2012 HOMEWORK 7 SOLUTIONS Polem 1: Colo Wheels We can epesent an N x N colo imae y a thee-dimensional aay such that the fist two dimensions

More information

Image Enhancement in the Spatial Domain. Spatial Domain

Image Enhancement in the Spatial Domain. Spatial Domain 8-- Spatial Domain Image Enhancement in the Spatial Domain What is spatial domain The space whee all pixels fom an image In spatial domain we can epesent an image by f( whee x and y ae coodinates along

More information

AUTOMATED LOCATION OF ICE REGIONS IN RADARSAT SAR IMAGERY

AUTOMATED LOCATION OF ICE REGIONS IN RADARSAT SAR IMAGERY AUTOMATED LOCATION OF ICE REGIONS IN RADARSAT SAR IMAGERY Chistophe Waceman (1), William G. Pichel (2), Pablo Clement-Colón (2) (1) Geneal Dynamics Advanced Infomation Systems, P.O. Box 134008 Ann Abo

More information

Illumination methods for optical wear detection

Illumination methods for optical wear detection Illumination methods fo optical wea detection 1 J. Zhang, 2 P.P.L.Regtien 1 VIMEC Applied Vision Technology, Coy 43, 5653 LC Eindhoven, The Nethelands Email: jianbo.zhang@gmail.com 2 Faculty Electical

More information

Massachusetts Institute of Technology Department of Mechanical Engineering

Massachusetts Institute of Technology Department of Mechanical Engineering cm cm Poblem Massachusetts Institute of echnolog Depatment of Mechanical Engineeing. Intoduction to obotics Sample Poblems and Solutions fo the Mid-em Exam Figue shows a obotic vehicle having two poweed

More information

A Consistent, User Friendly Interface for Running a Variety of Underwater Acoustic Propagation Codes

A Consistent, User Friendly Interface for Running a Variety of Underwater Acoustic Propagation Codes Poceedings of ACOUSTICS 6 - Novembe 6, Chistchuch, New Zealand A Consistent, Use Fiendly Inteface fo Running a Vaiety of Undewate Acoustic Popagation Codes Alec J Duncan, Amos L Maggi Cente fo Maine Science

More information

Extract Object Boundaries in Noisy Images using Level Set. Final Report

Extract Object Boundaries in Noisy Images using Level Set. Final Report Extact Object Boundaies in Noisy Images using Level Set by: Quming Zhou Final Repot Submitted to Pofesso Bian Evans EE381K Multidimensional Digital Signal Pocessing May 10, 003 Abstact Finding object contous

More information

A modal estimation based multitype sensor placement method

A modal estimation based multitype sensor placement method A modal estimation based multitype senso placement method *Xue-Yang Pei 1), Ting-Hua Yi 2) and Hong-Nan Li 3) 1),)2),3) School of Civil Engineeing, Dalian Univesity of Technology, Dalian 116023, China;

More information

Satellite Image Analysis

Satellite Image Analysis Satellite Image Analysis Chistian Melsheime Apil 25, 2012 The lab on satellite image analysis deals with a vey typical application, the extaction of land use infomation. Stating point is an image ecoded

More information

Controlled Blending of Procedural Implicit Surfaces

Controlled Blending of Procedural Implicit Surfaces 236 Contolled Blending of Pocedual Implicit Sufaces Zoan KaCic-Alesic Bian Wyvill Depatment of Compute Science Univesity of Calgay Calgay, Albeta, Canada T2N IN4 Abstact Implicit sufaces ae becoming inceasingly

More information

4.2. Co-terminal and Related Angles. Investigate

4.2. Co-terminal and Related Angles. Investigate .2 Co-teminal and Related Angles Tigonometic atios can be used to model quantities such as

More information

A Novel Automatic White Balance Method For Digital Still Cameras

A Novel Automatic White Balance Method For Digital Still Cameras A Novel Automatic White Balance Method Fo Digital Still Cameas Ching-Chih Weng 1, Home Chen 1,2, and Chiou-Shann Fuh 3 Depatment of Electical Engineeing, 2 3 Gaduate Institute of Communication Engineeing

More information

Prof. Feng Liu. Fall /17/2016

Prof. Feng Liu. Fall /17/2016 Pof. Feng Liu Fall 26 http://www.cs.pdx.edu/~fliu/couses/cs447/ /7/26 Last time Compositing NPR 3D Gaphics Toolkits Tansfomations 2 Today 3D Tansfomations The Viewing Pipeline Mid-tem: in class, Nov. 2

More information

A Radical Revision of UML s Role Concept *

A Radical Revision of UML s Role Concept * A Radical Revision of UML s Role oncept Fiedich Steimann nstitut fü Technische nfomatik Rechnegestützte Wissensveabeitung Univesität Hannove, Appelstaße 4, D-30167 Hannove steimann@acm.og Abstact. UML

More information

Also available at ISSN (printed edn.), ISSN (electronic edn.) ARS MATHEMATICA CONTEMPORANEA 3 (2010)

Also available at  ISSN (printed edn.), ISSN (electronic edn.) ARS MATHEMATICA CONTEMPORANEA 3 (2010) Also available at http://amc.imfm.si ISSN 1855-3966 (pinted edn.), ISSN 1855-3974 (electonic edn.) ARS MATHEMATICA CONTEMPORANEA 3 (2010) 109 120 Fulleene patches I Jack E. Gave Syacuse Univesity, Depatment

More information

All lengths in meters. E = = 7800 kg/m 3

All lengths in meters. E = = 7800 kg/m 3 Poblem desciption In this poblem, we apply the component mode synthesis (CMS) technique to a simple beam model. 2 0.02 0.02 All lengths in metes. E = 2.07 10 11 N/m 2 = 7800 kg/m 3 The beam is a fee-fee

More information

GARBAGE COLLECTION METHODS. Hanan Samet

GARBAGE COLLECTION METHODS. Hanan Samet gc0 GARBAGE COLLECTION METHODS Hanan Samet Compute Science Depatment and Cente fo Automation Reseach and Institute fo Advanced Compute Studies Univesity of Mayland College Pak, Mayland 07 e-mail: hjs@umiacs.umd.edu

More information

Physical simulation for animation

Physical simulation for animation Physical simulation fo animation Case study: The jello cube The Jello Cube Mass-Sping System Collision Detection Integatos Septembe 17 2002 1 Announcements Pogamming assignment 3 is out. It is due Tuesday,

More information

Voting-Based Grouping and Interpretation of Visual Motion

Voting-Based Grouping and Interpretation of Visual Motion Voting-Based Gouping and Intepetation of Visual Motion Micea Nicolescu Depatment of Compute Science Univesity of Nevada, Reno Reno, NV 89557 micea@cs.un.edu Géad Medioni Integated Media Systems Cente Univesity

More information

Decision Support for Rule and Technique Discovery in an Uncertain Environment

Decision Support for Rule and Technique Discovery in an Uncertain Environment Decision Suppot fo Rule and Technique Discovey in an Uncetain Envionment D. James F. Smith III Naval Reseach Laboatoy, Code 5741 Washington, D.C., 0375-5000 Telephone: 0.767.5358 Fax: 0.404.7690 jfsmith@dsews.nl.navy.mil

More information

Separability and Topology Control of Quasi Unit Disk Graphs

Separability and Topology Control of Quasi Unit Disk Graphs Sepaability and Topology Contol of Quasi Unit Disk Gaphs Jiane Chen, Anxiao(Andew) Jiang, Iyad A. Kanj, Ge Xia, and Fenghui Zhang Dept. of Compute Science, Texas A&M Univ. College Station, TX 7784. {chen,

More information

Optical Flow for Large Motion Using Gradient Technique

Optical Flow for Large Motion Using Gradient Technique SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol. 3, No. 1, June 2006, 103-113 Optical Flow fo Lage Motion Using Gadient Technique Md. Moshaof Hossain Sake 1, Kamal Bechkoum 2, K.K. Islam 1 Abstact: In this

More information

POMDP: Introduction to Partially Observable Markov Decision Processes Hossein Kamalzadeh, Michael Hahsler

POMDP: Introduction to Partially Observable Markov Decision Processes Hossein Kamalzadeh, Michael Hahsler POMDP: Intoduction to Patially Obsevable Makov Decision Pocesses Hossein Kamalzadeh, Michael Hahsle 2019-01-02 The R package pomdp povides an inteface to pomdp-solve, a solve (witten in C) fo Patially

More information

Obstacle Avoidance of Autonomous Mobile Robot using Stereo Vision Sensor

Obstacle Avoidance of Autonomous Mobile Robot using Stereo Vision Sensor Obstacle Avoidance of Autonomous Mobile Robot using Steeo Vision Senso Masako Kumano Akihisa Ohya Shin ichi Yuta Intelligent Robot Laboatoy Univesity of Tsukuba, Ibaaki, 35-8573 Japan E-mail: {masako,

More information

Pledge: Signature:

Pledge: Signature: S/PM 0 Final Exam 7 May 005 Name: KEY E-mail ID: @viginia.edu Pledge: Signatue: Thee ae 80 minutes 3 hous fo this exam and 80 oints on the test; don t send too long on any one uestion! Thee is an exam

More information

On the Conversion between Binary Code and Binary-Reflected Gray Code on Boolean Cubes

On the Conversion between Binary Code and Binary-Reflected Gray Code on Boolean Cubes On the Convesion between Binay Code and BinayReflected Gay Code on Boolean Cubes The Havad community has made this aticle openly available. Please shae how this access benefits you. You stoy mattes Citation

More information

A VECTOR PERTURBATION APPROACH TO THE GENERALIZED AIRCRAFT SPARE PARTS GROUPING PROBLEM

A VECTOR PERTURBATION APPROACH TO THE GENERALIZED AIRCRAFT SPARE PARTS GROUPING PROBLEM Accepted fo publication Intenational Jounal of Flexible Automation and Integated Manufactuing. A VECTOR PERTURBATION APPROACH TO THE GENERALIZED AIRCRAFT SPARE PARTS GROUPING PROBLEM Nagiza F. Samatova,

More information

Introduction To Pipelining. Chapter Pipelining1 1

Introduction To Pipelining. Chapter Pipelining1 1 Intoduction To Pipelining Chapte 6.1 - Pipelining1 1 Mooe s Law Mooe s Law says that the numbe of pocessos on a chip doubles about evey 18 months. Given the data on the following two slides, is this tue?

More information

EYE DIRECTION BY STEREO IMAGE PROCESSING USING CORNEAL REFLECTION ON AN IRIS

EYE DIRECTION BY STEREO IMAGE PROCESSING USING CORNEAL REFLECTION ON AN IRIS EYE DIRECTION BY STEREO IMAGE PROCESSING USING CORNEAL REFLECTION ON AN IRIS Kumiko Tsuji Fukuoka Medical technology Teikyo Univesity 4-3-14 Shin-Katsutachi-Machi Ohmuta Fukuoka 836 Japan email: c746g@wisdomcckyushu-uacjp

More information

ISyE 4256 Industrial Robotic Applications

ISyE 4256 Industrial Robotic Applications ISyE 456 Industial Robotic Applications Quiz # Oct. 9, 998 Name This is a closed book, closed notes exam. Show wok fo poblem questions ) ( pts) Please cicle one choice fo each item. a) In an application,

More information

Simulation-Based Test Algorithm Generation and Port Scheduling for Multi-Port Memories

Simulation-Based Test Algorithm Generation and Port Scheduling for Multi-Port Memories imulationbased Test Algoithm Geneation and Pot cheduling fo MultiPot Memoies ChiFeng Wu, ChihTsun Huang, KuoLiang Cheng, ChihWea Wang, and ChengWen Wu Depatment of Electical Engineeing ational Tsing Hua

More information

A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Personification by Boulic, Thalmann and Thalmann.

A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Personification by Boulic, Thalmann and Thalmann. A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Pesonification by Boulic, Thalmann and Thalmann. Mashall Badley National Cente fo Physical Acoustics Univesity of

More information

View Synthesis using Depth Map for 3D Video

View Synthesis using Depth Map for 3D Video View Synthesis using Depth Map fo 3D Video Cheon Lee and Yo-Sung Ho Gwangju Institute of Science and Technology (GIST) 1 Oyong-dong, Buk-gu, Gwangju, 500-712, Republic of Koea E-mail: {leecheon, hoyo}@gist.ac.k

More information

Monitors. Lecture 6. A Typical Monitor State. wait(c) Signal and Continue. Signal and What Happens Next?

Monitors. Lecture 6. A Typical Monitor State. wait(c) Signal and Continue. Signal and What Happens Next? Monitos Lectue 6 Monitos Summay: Last time A combination of data abstaction and mutual exclusion Automatic mutex Pogammed conditional synchonisation Widely used in concuent pogamming languages and libaies

More information

10/29/2010. Rendering techniques. Global Illumination. Local Illumination methods. Today : Global Illumination Modules and Methods

10/29/2010. Rendering techniques. Global Illumination. Local Illumination methods. Today : Global Illumination Modules and Methods Rendeing techniques Compute Gaphics Lectue 10 Can be classified as Local Illumination techniques Global Illumination techniques Global Illumination 1: Ray Tacing and Radiosity Taku Komua 1 Local Illumination

More information

Topic 4 Root Finding

Topic 4 Root Finding Couse Instucto D. Ramond C. Rump Oice: A 337 Phone: (915) 747 6958 E Mail: cump@utep.edu Topic 4 EE 4386/531 Computational Methods in EE Outline Intoduction Backeting Methods The Bisection Method False

More information

On the Forwarding Area of Contention-Based Geographic Forwarding for Ad Hoc and Sensor Networks

On the Forwarding Area of Contention-Based Geographic Forwarding for Ad Hoc and Sensor Networks On the Fowading Aea of Contention-Based Geogaphic Fowading fo Ad Hoc and Senso Netwoks Dazhi Chen Depatment of EECS Syacuse Univesity Syacuse, NY dchen@sy.edu Jing Deng Depatment of CS Univesity of New

More information

Reader & ReaderT Monad (11A) Young Won Lim 8/20/18

Reader & ReaderT Monad (11A) Young Won Lim 8/20/18 Copyight (c) 2016-2018 Young W. Lim. Pemission is ganted to copy, distibute and/o modify this document unde the tems of the GNU Fee Documentation License, Vesion 1.2 o any late vesion published by the

More information

Tufts University Math 13 Department of Mathematics November 14, :00 noon to 1:20 pm

Tufts University Math 13 Department of Mathematics November 14, :00 noon to 1:20 pm Tufts Univesit Math 3 Depatment of Mathematics Novembe, Eam : noon to : pm Instuctions: No calculatos, notes o books ae allowed. Unless othewise stated, ou must show all wok to eceive full cedit. Simplif

More information

Methods for history matching under geological constraints Jef Caers Stanford University, Petroleum Engineering, Stanford CA , USA

Methods for history matching under geological constraints Jef Caers Stanford University, Petroleum Engineering, Stanford CA , USA Methods fo histoy matching unde geological constaints Jef Caes Stanfod Univesity, Petoleum Engineeing, Stanfod CA 9435-222, USA Abstact Two geostatistical methods fo histoy matching ae pesented. Both ely

More information

DYNAMIC STORAGE ALLOCATION. Hanan Samet

DYNAMIC STORAGE ALLOCATION. Hanan Samet ds0 DYNAMIC STORAGE ALLOCATION Hanan Samet Compute Science Depatment and Cente fo Automation Reseach and Institute fo Advanced Compute Studies Univesity of Mayland College Pak, Mayland 07 e-mail: hjs@umiacs.umd.edu

More information

Elliptic Generation Systems

Elliptic Generation Systems 4 Elliptic Geneation Systems Stefan P. Spekeijse 4.1 Intoduction 4.1 Intoduction 4.2 Two-Dimensional Gid Geneation Hamonic Maps, Gid Contol Maps, and Poisson Systems Discetization and Solution Method Constuction

More information

Fifth Wheel Modelling and Testing

Fifth Wheel Modelling and Testing Fifth heel Modelling and Testing en Masoy Mechanical Engineeing Depatment Floida Atlantic Univesity Boca aton, FL 4 Lois Malaptias IFMA Institut Fancais De Mechanique Advancee ampus De lemont Feand Les

More information

Scaling Location-based Services with Dynamically Composed Location Index

Scaling Location-based Services with Dynamically Composed Location Index Scaling Location-based Sevices with Dynamically Composed Location Index Bhuvan Bamba, Sangeetha Seshadi and Ling Liu Distibuted Data Intensive Systems Laboatoy (DiSL) College of Computing, Geogia Institute

More information