Calculation of Power Density with MCNP in TRIGA Reactor

Size: px
Start display at page:

Download "Calculation of Power Density with MCNP in TRIGA Reactor"

Transcription

1 Internatonal Conerence Nuclear Energy or New Europe 26 Portorož, Slovena, September 18-21, 26 Calculaton o Power Densty wth MCNP n TRIGA Reactor ABSTRACT Luka Snoj, Matjaž Ravnk Jože Stean Insttute Jamova 39, SI-1 Ljubljana, Slovena Luka.Snoj@js.s, Matjaz.Ravnk@js.s Modern Monte Carlo codes (e.g. MCNP allow calculaton o power densty dstrbuton n 3-D geometry assumng detaled geometry wthout unt-cell homogenzaton. To normalze MCNP calculaton by the steady-state thermal power o a reactor, one must use approprate scalng actors. The descrpton o the scalng actors s not adequately descrbed n the MCNP manual and requres detaled knowledge o the code model. As the applcaton o MCNP or power densty calculaton n TRIGA reactors has not been reported n open lterature, the procedure o calculatng power densty wth MCNP and ts normalzaton to the power level o a reactor s descrbed n the paper. 1 INTRODUCTION Monte Carlo computer code, MCNP, s a very powerul and versatle tool or partcle transport calculatons. It can be used or transport o neutrons, photons and electrons. Transport o neutrons s o specal nterest or a reactor physcst. MCNP code can be used or calculatons o multplcaton actor, reacton rates, saturated actvtes, neutron luxes and spectra, power peakng actors, reacton rate dstrbutons, sheldng etc. Its man advantage s the ablty to handle complcated geometres. MCNP also provdes seven standard tally types [1]. All talles are normalzed to one "startng" partcle except n KCODE crtcalty problems, whch are normalzed to one sson neutron. In order to normalze the result by the thermal power o a system, one must use approprate scalng actors. As the procedure o calculatng the scalng actors or KCODE calculaton s not adequately descrbed n the MCNP manual, t wll be descrbed n the paper. The present paper wll ocus on standard cell lux (track length estmate o cell lux F4 tally [1] whch s o greatest nterest or reactor physcs calculatons. However the results can be appled also to other neutron talles. 2 NORMALISATION OF F4 TALLIES IN A CRITICALITY CALCULATION The multplcaton actor s one o the most mportant propertes o a reactor or other system made o ssle materal. In MCNP the most common way to calculate the multplcaton actor s through the use o KCODE card. It s mportant to note that all the standard MCNP talles can be made durng a crtcalty calculaton. Snce the MCNP results are normalsed to one source neutron, the result has to be properly scaled n order to get absolute comparson to the measured quanttes (lux, reacton rate, sson densty, etc.. The F4 tally results can be scaled to a desred sson neutron 19.1

2 19.2 source (power level or total neutron pulse strength. The scalng actor can be entered on the FM (tally multpler card or can be appled later n data processng. The neutron brth rate n a ssle system can be calculated rom the released energy per P unt tme.e. the power o the system. The system producng power P needs ssons per w second, where w denotes eectve energy released per sson event. Although the value o w wll vary somewhat wth the type o reactor and the detaled core composton, t s typcally Pν o the order o 198 MeV or steady state condton. Ths sson rate produces neutrons w per second, where ν denotes the average number o neutrons released per sson. (The value o ν s lsted n the MCNP output le n the box contanng the nal k e result and represents the value averaged over ssle sotopes and neutron energes. Thereore to normalze an F4 tally by the steady-state thermal power o a crtcal system, the ollowng scalng actor n unts o sson neutrons per unt tme should be used neutron P[ W] ν sson S = 13 J MeV w MeV sson (1. The upper scalng actor s approprate or crtcal.e. steady-state power level systems only (k = 1. KCODE talles or subcrtcal and supercrtcal systems do not nclude any multplcaton eects because sson s treated as absorpton. Thereore one must multply the equaton (1 by 1 on the rght-hand sde or subcrtcal and supercrtcal systems, ke respectvely. It s mportant to note that the scalng actor or subcrtcal and supercrtcal systems s vald only when one uses neutron source dstrbuton dentcal n space and energy to the source dstrbuton obtaned rom the soluton o an egenvalue problem wth k e 1. To conclude, when one wants to scale the calculated F4 tally "lux", Φ F4, one must use the ollowng equaton neutron P[ W] ν neutron sson 1 1 Φ = Φ cm s J MeV MeV sson 2 F ke cm w where Φ denotes the actual total neutron lux n the system., (2 3 CALCULATION OF POWER DENSITY DISTRIBUTION 3.1 Calculaton o power densty The energy released n a nuclear sson reacton s dstrbuted among a varety o reacton products. The majorty o the sson energy appears as the knetc energy o the sson ragments and s deposted essentally at the pont o sson. About 97 % o the Proceedngs o the Internatonal Conerence Nuclear Energy or New Europe, 26

3 19.3 recoverable sson energy s deposted drectly n the ssle materal [2]. In our calculaton o the power densty dstrbuton we wll assume that power densty s proportonal to sson densty. In other word that means that we assume that all o the recoverable sson energy s deposted at the pont o sson. We wll also assume that there are no temperature eedback eects and that there s only one ssle sotope n the system. Power densty, dened as the energy deposted n the ssle materal per unt volume per unt tme, can be wrtten as p( r = w ( E, r Σ ( E, r ϕ( E, r de, (3 where Σ and φ denote macroscopc sson cross secton and neutron spectrum, respectvely. Neutron spectrum φ(e,r s normalzed such as ϕ( E, r de =Φ( r, (4 where Φ(r s total neutron lux n cm -2 s -1. The same s vald also or MCNP F4 tally ϕ F ( E, r de =Φ ( r. (5 4 F4 Equaton (3 represents thermal power densty at poston r n the sson system. Hence the total power generated by the sson system s just the ntegral o the power densty over the total volume where Σ. 3 P = d r w ( E, r Σ ( E, r ϕ( E, r de V, Σ (6 Assumng that w and number densty o the ssle materal do not depend sgncantly on the energy and the poston n the ssle system, equaton (3 can be wrtten as p( r = wn σ (, (, r E, (7 E r ϕ E d where N denotes ssle materal atom densty and σ denotes mcroscopc total sson cross secton. In MCNP the F4 cell lux tally, Φ F4 (r, s averaged over the volume o the samplng cell. Thereore, when we calculate sson densty n a certan cell, Δ V ( runs over all spatal cells o the reactor, we can omt the spatal dependence rom the ntegral n equaton (7 and obtan p( r = w N σ ( (, E ϕ E de r V (8 Δ The ntegral can be qute easly calculated by usng the tally multpler (FM card [1], whch s used to calculate, or Δ V, any quantty o the orm Proceedngs o the Internatonal Conerence Nuclear Energy or New Europe, 26

4 Emax 19.4 FR = C σr( E ϕf4( E de, (9 Emn where the constant C s any arbtrary scalar quantty that can be used or normalsaton, σ R (E s mcroscopc cross secton or reacton R taken rom MCNP cross-secton lbrares and E mn and E max denote mnmum and maxmum neutron energy n the system (usually and 2 MeV, respectvely. F R s the quantty or reacton R that s calculated by MCNP and ts value can be ound n the output le. Any number o ENDF or specal reactons can be used as a multpler as long as they are present n the MCNP cross-secton lbrares. I the C entry s negatve (or type 4 tally only, C s replaced by C tmes the atom densty o the cell where the tally s made. Thus or calculatng power densty we use F4 tally wth tally multpler -6, whch s the mcroscopc total sson cross secton, and normalse the result to a desred sson neutron source (power level or total neutron pulse strength. Usng equatons (8, (9 and the scalng actor S we obtan p( r = Pν M w w Emax σ ( ϕf4(, r E Δ V (1 mn N E E de It s nterestng that the power densty s ndependent on w. Fnally we can wrte power densty as p( r = Pν NMF, r V. (11 Note that p(r s a uncton o r, as t s constant nsde each Δ V. I we want to obtan "smooth" p(r dstrbuton, all Δ V must be small. It s mportant to note that σ n equaton (1 s actually macroscopc total sson cross secton normalzed to one atom o the sampled materal. Thereore n case the sampled materal contans ssle and non-ssle components (e.g. UO 2, UCO, UZrH, UO 2 + PuO 2, etc. the ntegral n equaton (1 can be smply multpled by the sampled materal atom densty,.e. a mxture o several nucldes, and not the atom densty o the ssle materal only. I the sampled materal contans several ssle sotopes, mcroscopc total sson cross secton, σ, s calculated as the weghted average over all ssle sotopes, wth regard to ther atom racton. The same s true orν. Δ 3.2 Alternatve opton or calculaton o power densty The alternatve opton or calculaton o power densty s much smpler, but t has some lmtatons. Ths opton s partcularly useul when we want to calculate the power densty n ndvdual cells or uel elements. Frst we calculate sson densty (normalsed "per atom".e. calculate F n each cell contanng ssle materal and obtan E max F = Φ( E σ ( E de E mn (, (12 Proceedngs o the Internatonal Conerence Nuclear Energy or New Europe, 26

5 19.5 where denotes the cell ndex. Snce the power produced n one cell s lnearly proportonal to the number o ssons n that cell, we can calculate the power produced n cell, P, by multplyng the ssle system thermal power, P, by the relatve number o ssons n cell. As the relatve number o ssons n cell s proportonal to the product o sson densty n cell and the volume o cell, we obtan P ( F ( F V = P. (13 V Usng the denton o power densty as beng the power produced per unt volume we obtan the power densty n cell as p ( F ( F = P. (14 V The man lmtatons o ths procedure o sson densty calculaton are that we have to know the exact volume o each cell and that we have to sample all cells contanng ssle materal, whch s not necessary or the prevously descrbed opton. Note that V can be the volume o the uel nsde the uel element or very small volume o arbtrary materal composton and needs not to contan only ssle materal. In both cases p corresponds to the average power densty n that volume. 3.3 Calculaton o power densty dstrbuton The easest way or calculatng the power densty dstrbuton can be by usng the supermposed mesh tally card, FMESHn (or the present only type 4 talles are permtted. FMESH card allows the user to dene a mesh tally supermposed over the problem geometry. By deault, the mesh tally calculates the track length estmate o partcle lux, averaged over a mesh cell. I we use the tally multpler card or sson together wth the mesh tally and scale the results to approprate power level, we can obtan power densty dstrbuton. When usng tally multpler card together wth supermposed mesh tally card t s recommended to set materal number to, whch causes that the reacton cross sectons or the materal n whch the partcle s travellng are used. Thus we do not have to worry n whch materal partcle s travellng. The FMESH card s extremely powerul and useul method also or calculatng lux dstrbutons, power peakng actors, etc.. By usng the very ne mesh we can calculate local power peakngs and power densty dstrbutons near the water channels, whch s very dcult not mpossble to do wth determnstc methods. 4 POWER DENSITY DISTRIBUTION IN TRIGA MARK II CORE The supermposed mesh tally eature o the MCNP code was used to calculate detaled power densty dstrbuton and power peakng actors o varous hypothetcal mxed cores o TRIGA Mark II reactor located at Joze Stean Insttute. The mesh o the mesh tally was so ne that power densty dstrbuton was calculated wth a resoluton o 1mm 1mm. The dsadvantage o such hgh resoluton s the very large number o samplng cells (5 5 Proceedngs o the Internatonal Conerence Nuclear Energy or New Europe, 26

6 19.6 and consequently relatvely hgh relatve error o the tally. That s the man reason why we calculated the power densty dstrbuton averaged over the uel heght. The results are presented n Fgure 1. Fgure 1: Power densty dstrbuton (rel. unts n mxed core wth 8.5 w/o standard uel and 6 LEU uel elements n the D rng. The numbers on x n y axs are dstances rom the centre o the core n cm. 5 CONCLUSIONS We have shown how to scale MCNP tally results to a desred power level o the system. The scalng actors can be derved rom the system power, multplcaton actor, average number o neutrons released per sson and average energy produced per sson event. When one s amlar wth normalzng the results to a certan power level, the MCNP becomes a versatle calculaton tool or varous reactor physcs calculatons. One can calculate reacton rates, saturated actvtes, neutron luxes and spectra, power peakng actors etc.. The MCNP ablty to handle complcated geometres and use o the FMESH card eature o the MCNP code enables one to calculate detaled neutron lux and varous reacton rate dstrbutons wth a resoluton o 1mm 1mm or less (depends on the sze o the system, the computer hardware and sotware. The later eature s especally useul or calculaton o power densty dstrbuton and local power peakng actors calculaton snce t can reproduce properly the eects o local power gradents due to small heterogenetes n the core. REFERENCES [1] J.J. Bresmester, "MCNP5- A General Monte Carlo N-Partcle Transport Code, Verson 5 Los Alamos Natonal Laboratory", March, 25 [2] J. J. Duderstadt, L. J. Hamlton, Nuclear Reactor Analyss, John Wley & Sons, 1976 Proceedngs o the Internatonal Conerence Nuclear Energy or New Europe, 26

Physics 2A Chapters 6 - Work & Energy Fall 2017

Physics 2A Chapters 6 - Work & Energy Fall 2017 Physcs A Chapters 6 - Work & Energy Fall 017 These notes are eght pages. A quck summary: The work-energy theorem s a combnaton o Chap and Chap 4 equatons. Work s dened as the product o the orce actng on

More information

Measurement of Radiation: Exposure. Purpose. Quantitative description of radiation

Measurement of Radiation: Exposure. Purpose. Quantitative description of radiation Measurement of Radaton: Exposure George Starkschall, Ph.D. Department of Radaton Physcs U.T. M.D. Anderson Cancer Center Purpose To ntroduce the concept of radaton exposure and to descrbe and evaluate

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 16 8/4/14 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 214. Real Vapors and Fugacty Henry s Law accounts or the propertes o extremely dlute soluton. s shown n Fgure

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity 1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Physics for Scientists and Engineers. Chapter 9 Impulse and Momentum

Physics for Scientists and Engineers. Chapter 9 Impulse and Momentum Physcs or Scentsts and Engneers Chapter 9 Impulse and Momentum Sprng, 008 Ho Jung Pak Lnear Momentum Lnear momentum o an object o mass m movng wth a velocty v s dened to be p mv Momentum and lnear momentum

More information

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department

More information

SPANC -- SPlitpole ANalysis Code User Manual

SPANC -- SPlitpole ANalysis Code User Manual Functonal Descrpton of Code SPANC -- SPltpole ANalyss Code User Manual Author: Dale Vsser Date: 14 January 00 Spanc s a code created by Dale Vsser for easer calbratons of poston spectra from magnetc spectrometer

More information

5.15 MICRO GAMMA SCANNING ON THE HIGH BURNUP PWR FUEL SAMPLES

5.15 MICRO GAMMA SCANNING ON THE HIGH BURNUP PWR FUEL SAMPLES 5.15 MICRO GAMMA SCANNING ON THE HIGH BURNUP PWR FUEL SAMPLES Hyoung-Mun Kwon, Hang-Seog Seo, Hyung-Kwon Lee, Duck-Kee Mn, Yong-Bum Chun Post Irradaton Examnaton Faclty, Korea Atomc Energy Research Insttute

More information

Week 6, Chapter 7 Sect 1-5

Week 6, Chapter 7 Sect 1-5 Week 6, Chapter 7 Sect 1-5 Work and Knetc Energy Lecture Quz The frctonal force of the floor on a large sutcase s least when the sutcase s A.pushed by a force parallel to the floor. B.dragged by a force

More information

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method

More information

Experiment 1 Mass, volume and density

Experiment 1 Mass, volume and density Experment 1 Mass, volume and densty Purpose 1. Famlarze wth basc measurement tools such as verner calper, mcrometer, and laboratory balance. 2. Learn how to use the concepts of sgnfcant fgures, expermental

More information

NEUTRON FLUX IN THE EXPOSURE ROOM OF THE TRIGA MARK II REACTOR IN LJUBLJANA

NEUTRON FLUX IN THE EXPOSURE ROOM OF THE TRIGA MARK II REACTOR IN LJUBLJANA Internatonal Conference Nuclear Energy n Central Europe 2000 Golf Hotel, Bled, Slovena, September 11-14, 2000 NEUTRON FLUX IN THE EXPOSURE ROOM OF THE TRIGA MARK II REACTOR IN LJUBLJANA Edvard S. Krštof

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

Entropy generation in a chemical reaction

Entropy generation in a chemical reaction Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy

More information

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is.

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is. Moments of Inerta Suppose a body s movng on a crcular path wth constant speed Let s consder two quanttes: the body s angular momentum L about the center of the crcle, and ts knetc energy T How are these

More information

Chapter 3 Differentiation and Integration

Chapter 3 Differentiation and Integration MEE07 Computer Modelng Technques n Engneerng Chapter Derentaton and Integraton Reerence: An Introducton to Numercal Computatons, nd edton, S. yakowtz and F. zdarovsky, Mawell/Macmllan, 990. Derentaton

More information

Finite Difference Method

Finite Difference Method 7/0/07 Instructor r. Ramond Rump (9) 747 698 rcrump@utep.edu EE 337 Computatonal Electromagnetcs (CEM) Lecture #0 Fnte erence Method Lecture 0 These notes ma contan coprghted materal obtaned under ar use

More information

General Tips on How to Do Well in Physics Exams. 1. Establish a good habit in keeping track of your steps. For example, when you use the equation

General Tips on How to Do Well in Physics Exams. 1. Establish a good habit in keeping track of your steps. For example, when you use the equation General Tps on How to Do Well n Physcs Exams 1. Establsh a good habt n keepng track o your steps. For example when you use the equaton 1 1 1 + = d d to solve or d o you should rst rewrte t as 1 1 1 = d

More information

Markov Chain Monte Carlo Lecture 6

Markov Chain Monte Carlo Lecture 6 where (x 1,..., x N ) X N, N s called the populaton sze, f(x) f (x) for at least one {1, 2,..., N}, and those dfferent from f(x) are called the tral dstrbutons n terms of mportance samplng. Dfferent ways

More information

Designing of Combined Continuous Lot By Lot Acceptance Sampling Plan

Designing of Combined Continuous Lot By Lot Acceptance Sampling Plan Internatonal Journal o Scentc Research Engneerng & Technology (IJSRET), ISSN 78 02 709 Desgnng o Combned Contnuous Lot By Lot Acceptance Samplng Plan S. Subhalakshm 1 Dr. S. Muthulakshm 2 1 Research Scholar,

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

More information

2016 Wiley. Study Session 2: Ethical and Professional Standards Application

2016 Wiley. Study Session 2: Ethical and Professional Standards Application 6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton

More information

The exponential map of GL(N)

The exponential map of GL(N) The exponental map of GLN arxv:hep-th/9604049v 9 Apr 996 Alexander Laufer Department of physcs Unversty of Konstanz P.O. 5560 M 678 78434 KONSTANZ Aprl 9, 996 Abstract A fnte expanson of the exponental

More information

ONE-DIMENSIONAL COLLISIONS

ONE-DIMENSIONAL COLLISIONS Purpose Theory ONE-DIMENSIONAL COLLISIONS a. To very the law o conservaton o lnear momentum n one-dmensonal collsons. b. To study conservaton o energy and lnear momentum n both elastc and nelastc onedmensonal

More information

Computational Biology Lecture 8: Substitution matrices Saad Mneimneh

Computational Biology Lecture 8: Substitution matrices Saad Mneimneh Computatonal Bology Lecture 8: Substtuton matrces Saad Mnemneh As we have ntroduced last tme, smple scorng schemes lke + or a match, - or a msmatch and -2 or a gap are not justable bologcally, especally

More information

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations Quantum Physcs 量 理 Robert Esberg Second edton CH 09 Multelectron atoms ground states and x-ray exctatons 9-01 By gong through the procedure ndcated n the text, develop the tme-ndependent Schroednger equaton

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Physics 2A Chapter 3 HW Solutions

Physics 2A Chapter 3 HW Solutions Phscs A Chapter 3 HW Solutons Chapter 3 Conceptual Queston: 4, 6, 8, Problems: 5,, 8, 7, 3, 44, 46, 69, 70, 73 Q3.4. Reason: (a) C = A+ B onl A and B are n the same drecton. Sze does not matter. (b) C

More information

arxiv:cs.cv/ Jun 2000

arxiv:cs.cv/ Jun 2000 Correlaton over Decomposed Sgnals: A Non-Lnear Approach to Fast and Effectve Sequences Comparson Lucano da Fontoura Costa arxv:cs.cv/0006040 28 Jun 2000 Cybernetc Vson Research Group IFSC Unversty of São

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

Week 9 Chapter 10 Section 1-5

Week 9 Chapter 10 Section 1-5 Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,

More information

A Simple Research of Divisor Graphs

A Simple Research of Divisor Graphs The 29th Workshop on Combnatoral Mathematcs and Computaton Theory A Smple Research o Dvsor Graphs Yu-png Tsao General Educaton Center Chna Unversty o Technology Tape Tawan yp-tsao@cuteedutw Tape Tawan

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

Advanced Circuits Topics - Part 1 by Dr. Colton (Fall 2017)

Advanced Circuits Topics - Part 1 by Dr. Colton (Fall 2017) Advanced rcuts Topcs - Part by Dr. olton (Fall 07) Part : Some thngs you should already know from Physcs 0 and 45 These are all thngs that you should have learned n Physcs 0 and/or 45. Ths secton s organzed

More information

Integrals and Invariants of Euler-Lagrange Equations

Integrals and Invariants of Euler-Lagrange Equations Lecture 16 Integrals and Invarants of Euler-Lagrange Equatons ME 256 at the Indan Insttute of Scence, Bengaluru Varatonal Methods and Structural Optmzaton G. K. Ananthasuresh Professor, Mechancal Engneerng,

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Chapter 6. Operational Amplifier. inputs can be defined as the average of the sum of the two signals.

Chapter 6. Operational Amplifier.  inputs can be defined as the average of the sum of the two signals. 6 Operatonal mpler Chapter 6 Operatonal mpler CC Symbol: nput nput Output EE () Non-nvertng termnal, () nvertng termnal nput mpedance : Few mega (ery hgh), Output mpedance : Less than (ery low) Derental

More information

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure nhe roblem-solvng Strategy hapter 4 Transformaton rocess onceptual Model formulaton procedure Mathematcal Model The mathematcal model s an abstracton that represents the engneerng phenomena occurrng n

More information

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous

More information

29th Monitoring Research Review: Ground-Based Nuclear Explosion Monitoring Technologies

29th Monitoring Research Review: Ground-Based Nuclear Explosion Monitoring Technologies TESTING THE SPECTRAL DECONVOLUTION ALGORITHM TOOL (SDAT) WITH XE SPECTRA Steven R. Begalsk, Kendra M. Foltz Begalsk, and Derek A. Haas The Unversty of Texas at Austn Sponsored by Army Space and Mssle Defense

More information

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Lecture 2. 1/07/15-1/09/15 Unversty of Washngton Department of Chemstry Chemstry 453 Wnter Quarter 2015 We are not talkng about truth. We are talkng about somethng that seems lke truth. The truth we want

More information

PHYS 1441 Section 002 Lecture #15

PHYS 1441 Section 002 Lecture #15 PHYS 1441 Secton 00 Lecture #15 Monday, March 18, 013 Work wth rcton Potental Energy Gravtatonal Potental Energy Elastc Potental Energy Mechancal Energy Conservaton Announcements Mdterm comprehensve exam

More information

THEOREMS OF QUANTUM MECHANICS

THEOREMS OF QUANTUM MECHANICS THEOREMS OF QUANTUM MECHANICS In order to develop methods to treat many-electron systems (atoms & molecules), many of the theorems of quantum mechancs are useful. Useful Notaton The matrx element A mn

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Module 11 Design of Joints for Special Loading. Version 2 ME, IIT Kharagpur

Module 11 Design of Joints for Special Loading. Version 2 ME, IIT Kharagpur Module 11 Desgn o Jonts or Specal Loadng Verson ME, IIT Kharagpur Lesson 1 Desgn o Eccentrcally Loaded Bolted/Rveted Jonts Verson ME, IIT Kharagpur Instructonal Objectves: At the end o ths lesson, the

More information

Spring Force and Power

Spring Force and Power Lecture 13 Chapter 9 Sprng Force and Power Yeah, energy s better than orces. What s net? Course webste: http://aculty.uml.edu/andry_danylov/teachng/physcsi IN THIS CHAPTER, you wll learn how to solve problems

More information

Period & Frequency. Work and Energy. Methods of Energy Transfer: Energy. Work-KE Theorem 3/4/16. Ranking: Which has the greatest kinetic energy?

Period & Frequency. Work and Energy. Methods of Energy Transfer: Energy. Work-KE Theorem 3/4/16. Ranking: Which has the greatest kinetic energy? Perod & Frequency Perod (T): Tme to complete one ull rotaton Frequency (): Number o rotatons completed per second. = 1/T, T = 1/ v = πr/t Work and Energy Work: W = F!d (pcks out parallel components) F

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations Physcs 178/278 - Davd Klenfeld - Wnter 2015 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons We consder a network of many neurons, each of whch obeys a set of conductancebased,

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Investigation of a New Monte Carlo Method for the Transitional Gas Flow

Investigation of a New Monte Carlo Method for the Transitional Gas Flow Investgaton of a New Monte Carlo Method for the Transtonal Gas Flow X. Luo and Chr. Day Karlsruhe Insttute of Technology(KIT) Insttute for Techncal Physcs 7602 Karlsruhe Germany Abstract. The Drect Smulaton

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The

More information

Supplemental Material: Causal Entropic Forces

Supplemental Material: Causal Entropic Forces Supplemental Materal: Causal Entropc Forces A. D. Wssner-Gross 1, 2, and C. E. Freer 3 1 Insttute for Appled Computatonal Scence, Harvard Unversty, Cambrdge, Massachusetts 02138, USA 2 The Meda Laboratory,

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

SOLITARY BURN-UP WAVE SOLUTION IN A MULTI-GROUP DIFFUSION-BURNUP COUPLED SYSTEM

SOLITARY BURN-UP WAVE SOLUTION IN A MULTI-GROUP DIFFUSION-BURNUP COUPLED SYSTEM 3th Internatonal Conerence on Emergng uclear Energy Systems (ICEES 27) Istanbul Turkey June 3-8 27 on CD-ROM Gaz Unversty Ankara Turkey (27) SOLITARY BUR-UP WAVE SOLUTIO I A MULTI-GROUP DIFFUSIO-BURUP

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

EMU Physics Department

EMU Physics Department Physcs 0 Lecture 8 Potental Energy and Conservaton Assst. Pro. Dr. Al ÖVGÜN EMU Physcs Department www.aovgun.com Denton o Work W q The work, W, done by a constant orce on an object s dened as the product

More information

Parametric fractional imputation for missing data analysis. Jae Kwang Kim Survey Working Group Seminar March 29, 2010

Parametric fractional imputation for missing data analysis. Jae Kwang Kim Survey Working Group Seminar March 29, 2010 Parametrc fractonal mputaton for mssng data analyss Jae Kwang Km Survey Workng Group Semnar March 29, 2010 1 Outlne Introducton Proposed method Fractonal mputaton Approxmaton Varance estmaton Multple mputaton

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Neutral-Current Neutrino-Nucleus Inelastic Reactions for Core Collapse Supernovae

Neutral-Current Neutrino-Nucleus Inelastic Reactions for Core Collapse Supernovae Neutral-Current Neutrno-Nucleus Inelastc Reactons for Core Collapse Supernovae A. Juodagalvs Teornės Fzkos r Astronomjos Insttutas, Lthuana E-mal: andrusj@tpa.lt J. M. Sampao Centro de Físca Nuclear da

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Modeling and Simulation NETW 707

Modeling and Simulation NETW 707 Modelng and Smulaton NETW 707 Lecture 5 Tests for Random Numbers Course Instructor: Dr.-Ing. Magge Mashaly magge.ezzat@guc.edu.eg C3.220 1 Propertes of Random Numbers Random Number Generators (RNGs) must

More information

Mathematical Preparations

Mathematical Preparations 1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the

More information

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations Physcs 178/278 - Davd Klenfeld - Wnter 2019 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons Our goal to derve the form of the abstract quanttes n rate equatons, such as synaptc

More information

Convergence of random processes

Convergence of random processes DS-GA 12 Lecture notes 6 Fall 216 Convergence of random processes 1 Introducton In these notes we study convergence of dscrete random processes. Ths allows to characterze phenomena such as the law of large

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

), it produces a response (output function g (x)

), it produces a response (output function g (x) Lnear Systems Revew Notes adapted from notes by Mchael Braun Typcally n electrcal engneerng, one s concerned wth functons of tme, such as a voltage waveform System descrpton s therefore defned n the domans

More information

Singular Value Decomposition: Theory and Applications

Singular Value Decomposition: Theory and Applications Sngular Value Decomposton: Theory and Applcatons Danel Khashab Sprng 2015 Last Update: March 2, 2015 1 Introducton A = UDV where columns of U and V are orthonormal and matrx D s dagonal wth postve real

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

MAE140 - Linear Circuits - Winter 16 Midterm, February 5

MAE140 - Linear Circuits - Winter 16 Midterm, February 5 Instructons ME140 - Lnear Crcuts - Wnter 16 Mdterm, February 5 () Ths exam s open book. You may use whatever wrtten materals you choose, ncludng your class notes and textbook. You may use a hand calculator

More information

: Numerical Analysis Topic 2: Solution of Nonlinear Equations Lectures 5-11:

: Numerical Analysis Topic 2: Solution of Nonlinear Equations Lectures 5-11: 764: Numercal Analyss Topc : Soluton o Nonlnear Equatons Lectures 5-: UIN Malang Read Chapters 5 and 6 o the tetbook 764_Topc Lecture 5 Soluton o Nonlnear Equatons Root Fndng Problems Dentons Classcaton

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Homework Notes Week 7

Homework Notes Week 7 Homework Notes Week 7 Math 4 Sprng 4 #4 (a Complete the proof n example 5 that s an nner product (the Frobenus nner product on M n n (F In the example propertes (a and (d have already been verfed so we

More information

Joint Statistical Meetings - Biopharmaceutical Section

Joint Statistical Meetings - Biopharmaceutical Section Iteratve Ch-Square Test for Equvalence of Multple Treatment Groups Te-Hua Ng*, U.S. Food and Drug Admnstraton 1401 Rockvlle Pke, #200S, HFM-217, Rockvlle, MD 20852-1448 Key Words: Equvalence Testng; Actve

More information

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy.

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy. Elastc Collsons Defnton: to pont asses on hch no external forces act collde thout losng any energy v Prerequstes: θ θ collsons n one denson conservaton of oentu and energy occurs frequently n everyday

More information

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution Department of Statstcs Unversty of Toronto STA35HS / HS Desgn and Analyss of Experments Term Test - Wnter - Soluton February, Last Name: Frst Name: Student Number: Instructons: Tme: hours. Ads: a non-programmable

More information

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS Unversty of Oulu Student Laboratory n Physcs Laboratory Exercses n Physcs 1 1 APPEDIX FITTIG A STRAIGHT LIE TO OBSERVATIOS In the physcal measurements we often make a seres of measurements of the dependent

More information

Lecture 3 Stat102, Spring 2007

Lecture 3 Stat102, Spring 2007 Lecture 3 Stat0, Sprng 007 Chapter 3. 3.: Introducton to regresson analyss Lnear regresson as a descrptve technque The least-squares equatons Chapter 3.3 Samplng dstrbuton of b 0, b. Contnued n net lecture

More information

Exercises of Chapter 2

Exercises of Chapter 2 Exercses of Chapter Chuang-Cheh Ln Department of Computer Scence and Informaton Engneerng, Natonal Chung Cheng Unversty, Mng-Hsung, Chay 61, Tawan. Exercse.6. Suppose that we ndependently roll two standard

More information

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys

More information

Moderator & Moderator System

Moderator & Moderator System NPTL Chemcal ngneerng Nuclear Reactor Technology Moderator & Moderator System K.S. Rajan Professor, School of Chemcal & Botechnology SASTRA Unversty Jont Intatve of IITs and IISc Funded by MHRD Page of

More information

Lecture 2 Solution of Nonlinear Equations ( Root Finding Problems )

Lecture 2 Solution of Nonlinear Equations ( Root Finding Problems ) Lecture Soluton o Nonlnear Equatons Root Fndng Problems Dentons Classcaton o Methods Analytcal Solutons Graphcal Methods Numercal Methods Bracketng Methods Open Methods Convergence Notatons Root Fndng

More information

The Expectation-Maximization Algorithm

The Expectation-Maximization Algorithm The Expectaton-Maxmaton Algorthm Charles Elan elan@cs.ucsd.edu November 16, 2007 Ths chapter explans the EM algorthm at multple levels of generalty. Secton 1 gves the standard hgh-level verson of the algorthm.

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

Work is the change in energy of a system (neglecting heat transfer). To examine what could

Work is the change in energy of a system (neglecting heat transfer). To examine what could Work Work s the change n energy o a system (neglectng heat transer). To eamne what could cause work, let s look at the dmensons o energy: L ML E M L F L so T T dmensonally energy s equal to a orce tmes

More information

PHYS 1441 Section 002 Lecture #16

PHYS 1441 Section 002 Lecture #16 PHYS 1441 Secton 00 Lecture #16 Monday, Mar. 4, 008 Potental Energy Conservatve and Non-conservatve Forces Conservaton o Mechancal Energy Power Today s homework s homework #8, due 9pm, Monday, Mar. 31!!

More information

Old Dominion University Physics 420 Spring 2010

Old Dominion University Physics 420 Spring 2010 Projects Structure o Project Reports: 1 Introducton. Brely summarze the nature o the physcal system. Theory. Descrbe equatons selected or the project. Dscuss relevance and lmtatons o the equatons. 3 Method.

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

This chapter illustrates the idea that all properties of the homogeneous electron gas (HEG) can be calculated from electron density.

This chapter illustrates the idea that all properties of the homogeneous electron gas (HEG) can be calculated from electron density. 1 Unform Electron Gas Ths chapter llustrates the dea that all propertes of the homogeneous electron gas (HEG) can be calculated from electron densty. Intutve Representaton of Densty Electron densty n s

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

Feb 14: Spatial analysis of data fields

Feb 14: Spatial analysis of data fields Feb 4: Spatal analyss of data felds Mappng rregularly sampled data onto a regular grd Many analyss technques for geophyscal data requre the data be located at regular ntervals n space and/or tme. hs s

More information

Société de Calcul Mathématique SA

Société de Calcul Mathématique SA Socété de Calcul Mathématque SA Outls d'ade à la décson Tools for decson help Probablstc Studes: Normalzng the Hstograms Bernard Beauzamy December, 202 I. General constructon of the hstogram Any probablstc

More information

36.1 Why is it important to be able to find roots to systems of equations? Up to this point, we have discussed how to find the solution to

36.1 Why is it important to be able to find roots to systems of equations? Up to this point, we have discussed how to find the solution to ChE Lecture Notes - D. Keer, 5/9/98 Lecture 6,7,8 - Rootndng n systems o equatons (A) Theory (B) Problems (C) MATLAB Applcatons Tet: Supplementary notes rom Instructor 6. Why s t mportant to be able to

More information