Teaching Modelica for Mathematicians and Engineers Modelica Educational Workshop Berlin
|
|
- Howard Edwards
- 5 years ago
- Views:
Transcription
1 Teching Modelic for Mthemticins nd Modelic Eductionl Workshop Berlin Bernhrd Bchmnn University of Applied Sciences Bielefeld
2 Outline Pst Teching Experience Mthemticins precognition, course objectives Course Detils theoreticl content, tools, exercises ] [A I.i I.i I3.i Discussion on Future Teching Options Mthemticins nd mster students hving less mthemticl bckground Tools nd concepts dpttion of previous course ] [A I.i I.i I3.i
3 Pst Teching (999 8) Course ttendees (diplom-study in mthemtics) [c. 5] good mthemticl bckground nlysis nd liner lgebr topics optimiztion (liner, nonliner problems) numericl methods (no ODEs) theory on ordinry differentil equtions fmilir tools:mple, Mtlb (no Simulink) bsic progrmming knowledge (C/C++) bsic engineering bckground simple mthemticl modeling of physicl components mechnics, electricl systems (sttic) Course objectives engineering spects component nd librry development in Modelic mthemticl spects understnd symbolic trnsformtions nd numericl issues 3
4 Pst Teching (999 8) Course detils 4 semester periods per week (3 weeks) theory nd prcticl exercises lerning by doing (smll projects) tools Mtlb-Simulink (st project) Dymol (Modelic projects) exm prcticl projects (development nd explntion) theory mthemticl nd modeling spects 4
5 Pst Teching (999 8) st course: Bsic understnding of the principles using simple electricl system modeling u develop the DAE representtion bstrct mthemticl view understnd numericl integrtion (Euler method) sort the eqution system (find cuslity) i i u u i u 3 u 4 simultion nd implementtion using Mtlb using Simulink using Dymol (flt representtion) u = A sin(π f t + ϕ) u = u i = i u = du C dt + i R i + u, = i,, u 3 u = u = di L dt 3 R i + u, = u 4 4 5
6 Pst Teching (999 8) st course project bsic understnding of the principles using simple mechnicl system modeling develop the DAE representtion understnd numericl integrtion (Euler method) sort the eqution system (find cuslity) simultion nd implementtion using Mtlb using Simulink using Dymol input: u(t) z.b. sin(t) τ = u, c 3 4 c ϕ, τ J ϕ, τ ϕ, τ 3 J ϕ, τ 4 = J τ J 3 ω = τ ω = τ + τ = τ + τ, ω = ϕ 3 = c ( ϕ ϕ ) ω = ϕ 6
7 Pst Teching (999 8) nd course: Benefit of using Modelic Getting strted with Dymol exmples from st course continued modeling drg nd drop librry structure find components simultion compile model experiment setup view nd compre results u i i u u i u 3 u 4 input: u(t) z.b. sin(t) c 3 4 c ϕ, τ J ϕ, τ ϕ, τ 3 J ϕ, τ 4 = 7
8 Pst Teching (999 8) nd course project build up nd simulte different physicl systems exmples from st course drive trin triple pendulum height = 8
9 Pst Teching (999 8) 3rd course: Getting strted with Modelic flt Modelic bsic keywords model, prmeter, eqution, bsic types, der, type ttributes min, mx, units, type clsses librry SIunits hierrchicl Modelic model nd connector clsses connect sttement bsic principles of flow nd potentil vribles 9
10 Pst Teching (999 8) 3rd course project implement nd simulte Pendulum model flt representtion using predifined types (SIunits) hierrchicl representtion (using Multibody librry) nimtion build up simple controller to djust the ngle J ϕ = m g L cos( ϕ) d ϕ + τ
11 Pst Teching (999 8) 4th course: Introduction to bsic control techniques exmples with/without feedbck Lplce-trnsformtion different mthemticl formultions functionl description block digrm Step function response stndrd controller P-, D-, I-, PD-, PI-, PID-controller 4th course project exmple from 3rd course continued try different controller nd compre results
12 Pst Teching (999 8) 5th course: Build Librries in Modelic pckge concept exmple using simple electricl component modifier concept build librries in Dymol icon lyer, digrm lyer coordinte system connector view prmeter settings 5th course project build up librry motor (including control scheme) ger box (including friction elements) djust control prmeter for suitble test cses
13 Pst Teching (999 8) 6th course: Build Librries in Modelic generl connection concept energy flow, domin specific potentil nd flow vribles discuss prcticl issues (rottionl) multidisciplinry modeling prmeter propgtion modifictions GUI in Dymol 6th course project continue 5th course project 3
14 4 Pst Teching (999 8) 7th course: Advnced Modelic clss types type, model, block, function, pckge, connector lgorithm versus equtions dditionl keywords input, output, protected mtrices definition, element ccess, opertions, inline functions exmple of generl trnsfer function 7th course project still continue 5th course project u b b b b b b b b b y u + = + = x x x
15 Pst Teching (999 8) 8th course: Symbolic trnsformtion lgorithm mthemticl DAE representtion regulr (index ) problems mtching lgorithm sorting (Trjn lgorithm) BLT representtion of djcence mtrix 8th course project implement the BLT lgorithm for rndom mtrices f f f 3 f 4 f 5 z z z 3 z 4 z 5 5
16 Pst Teching (999 8) 9th course: Higher Index problems exmples (mechnicl, electricl) mthemticl DAE representtion definition of the structurl nd differentil index detect singulr set of equtions Pntelides lgorithm dummy derivtive method stte selection mechnism initiliztion of models 9th course project continue 8th course project f f f 3 f 4 f 5 z z z 3 z 4 z 5 6
17 Pst Teching (999 8) th course: Advnced Modelic rrys of component for-loop, vrible number of connect sttements exmple trnsmission line model introduce bsic het flow librry th course project simulte the temperture distribution of n isolted br p R R=R C=C C R R=R C=C ground C R3 R=R C=C C3 R4 R=R n R R[] R[] Rn n=3 C[] C[] C[3] 7
18 Pst Teching (999 8) th course: Model discontinuities Modelic Stndrd librry digitl controller electricl switch or diode (not idel) clutch nd brke model Modelic lnguge elements if-then-else, when, noevent, smooth, reinit, pre, symbolic trnsformtion synchronous eqution i u th course project implement exmples hysteresis function pulse width modultion block u u i i 3 8
19 th course: Model Discontinuities numericl issues stiffness ( not idel switch) time versus stte events rounding errors event itertions Pst Teching (999 8) u i u u i i 3 th course project implement further exmples bouncing bll Sw itch.v [V] Sw itch.i [A]
20 th course: Model Discontinuities numericl issues stiffness ( not idel switch) time versus stte events rounding errors event itertions Pst Teching (999 8) g h th course project implement further exmples bouncing bll h
21 3th course: Model Discontinuities vrying higher index problems exmples mechnicl, electricl symbolic trnsformtion nlyse singulrity dummy derivtive method Pst Teching (999 8) u i i u u u 3th course project run nd nlyse exmples introduce dummy derivtive terms in brnches
22 3th course: Model Discontinuities vrying higher index problems exmples mechnicl, electricl symbolic trnsformtion nlyse singulrity dummy derivtive method Pst Teching (999 8). u i i u u u 3th course project run nd nlyse exmples introduce dummy derivtive terms in brnches
23 Discussion on Future Teching Options Course ttendees mster-study in Optimiztion nd Simultion mthemticins nd engineers mechnicl, electricl, mechtronics, heterogeneous bckground in mthemtics nd engineering Course objectives engineering spects component nd librry development in Modelic mthemticl spects understnd symbolic trnsformtions nd numericl issues Tools licencing issues OpenModelic (SimForge), Dymol, MpleSim, MthModelic Applictions / Projects 3
Ordinary differential equations
Ordinry differentil equtions Introduction to Synthetic Biology E Nvrro A Montgud P Fernndez de Cordob JF Urchueguí Overview Introduction-Modelling Bsic concepts to understnd n ODE. Description nd properties
More information12. DYNAMIC ANALYSIS. Force Equilibrium is Fundamental in the Dynamic Analysis of Structures 12.1 INTRODUCTION
12. DYNAMIC ANALYSIS Force Equilibrium is Fundmentl in the Dynmic Anlysis of Structures 12.1 INTRODUCTION { XE "Newton's Second Lw" }All rel physicl structures behve dynmiclly when subjected to lods or
More informationCBE 291b - Computation And Optimization For Engineers
The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn
More informationHarman Outline 1A1 Integral Calculus CENG 5131
Hrmn Outline 1A1 Integrl Clculus CENG 5131 September 5, 213 III. Review of Integrtion A.Bsic Definitions Hrmn Ch14,P642 Fundmentl Theorem of Clculus The fundmentl theorem of clculus shows the intimte reltionship
More informationSection 6.1 INTRO to LAPLACE TRANSFORMS
Section 6. INTRO to LAPLACE TRANSFORMS Key terms: Improper Integrl; diverge, converge A A f(t)dt lim f(t)dt Piecewise Continuous Function; jump discontinuity Function of Exponentil Order Lplce Trnsform
More informationIDENTIFICATION AND MODIFICATION OF FRAME STRUCTURE
The 14 th World Conference on Erthque Engineering IDENTIFICATION AND MODIFICATION OF FRAME STRUCTURE P. Roso 1 1 Ass. Professor, Center of Mechnics nd Structurl Dynmics, Vienn University of Technology,
More informationA - INTRODUCTION AND OVERVIEW
MMJ5 COMPUTATIONAL METHOD IN SOLID MECHANICS A - INTRODUCTION AND OVERVIEW INTRODUCTION AND OVERVIEW M.N. Tmin, CSMLb, UTM MMJ5 COMPUTATIONAL METHOD IN SOLID MECHANICS Course Content: A INTRODUCTION AND
More informationResearch Article On Existence and Uniqueness of Solutions of a Nonlinear Integral Equation
Journl of Applied Mthemtics Volume 2011, Article ID 743923, 7 pges doi:10.1155/2011/743923 Reserch Article On Existence nd Uniqueness of Solutions of Nonliner Integrl Eqution M. Eshghi Gordji, 1 H. Bghni,
More informationMAC-solutions of the nonexistent solutions of mathematical physics
Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE
More informationChapter D05 Integral Equations
D05 Integrl Equtions Chpter D05 Integrl Equtions Contents 1 Scope of the Chpter 2 2 Bckground to the Problems 2 2.1 Introduction............................................ 2 2.2 Clssifiction of Integrl
More informationFig. 1. Open-Loop and Closed-Loop Systems with Plant Variations
ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses
More informationINVESTIGATION OF MATHEMATICAL MODEL OF COMMUNICATION NETWORK WITH UNSTEADY FLOW OF REQUESTS
Trnsport nd Telecommuniction Vol No 4 9 Trnsport nd Telecommuniction 9 Volume No 4 8 34 Trnsport nd Telecommuniction Institute Lomonosov Rig LV-9 Ltvi INVESTIGATION OF MATHEMATICAL MODEL OF COMMUNICATION
More informationComputing with finite semigroups: part I
Computing with finite semigroups: prt I J. D. Mitchell School of Mthemtics nd Sttistics, University of St Andrews Novemer 20th, 2015 J. D. Mitchell (St Andrews) Novemer 20th, 2015 1 / 34 Wht is this tlk
More informationMonte Carlo method in solving numerical integration and differential equation
Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The
More information1.9 C 2 inner variations
46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for
More informationIntroduction to ODE's (0A) Young Won Lim 3/12/15
Introduction to ODE's (0A) Copyright (c) 2011-2015 Young W. Lim. Permission is grnted to copy, distribute nd/or modify this document under the terms of the GNU Free Documenttion License, Version 1.2 or
More informationApplication of Exp-Function Method to. a Huxley Equation with Variable Coefficient *
Interntionl Mthemticl Forum, 4, 9, no., 7-3 Appliction of Exp-Function Method to Huxley Eqution with Vrible Coefficient * Li Yo, Lin Wng nd Xin-Wei Zhou. Deprtment of Mthemtics, Kunming College Kunming,Yunnn,
More informationModification Adomian Decomposition Method for solving Seventh OrderIntegro-Differential Equations
IOSR Journl of Mthemtics (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X. Volume, Issue 5 Ver. V (Sep-Oct. 24), PP 72-77 www.iosrjournls.org Modifiction Adomin Decomposition Method for solving Seventh OrderIntegro-Differentil
More informationTHE INTERVAL LATTICE BOLTZMANN METHOD FOR TRANSIENT HEAT TRANSFER IN A SILICON THIN FILM
ROMAI J., v.9, no.2(2013), 173 179 THE INTERVAL LATTICE BOLTZMANN METHOD FOR TRANSIENT HEAT TRANSFER IN A SILICON THIN FILM Alicj Piseck-Belkhyt, Ann Korczk Institute of Computtionl Mechnics nd Engineering,
More informationLECTURE 1. Introduction. 1. Rough Classiæcation of Partial Diæerential Equations
LECTURE 1 Introduction 1. Rough Clssiction of Prtil Dierentil Equtions A prtil dierentil eqution is eqution relting function of n vribles x 1 ;::: ;x n, its prtil derivtives, nd the coordintes x =èx 1
More informationDynamics and control of mechanical systems. Content
Dynmics nd control of mechnicl systems Dte Dy 1 (01/08) Dy (03/08) Dy 3 (05/08) Dy 4 (07/08) Dy 5 (09/08) Dy 6 (11/08) Content Review of the bsics of mechnics. Kinemtics of rigid bodies plne motion of
More informationStudies on Nuclear Fuel Rod Thermal Performance
Avilble online t www.sciencedirect.com Energy Procedi 1 (1) 1 17 Studies on Nucler Fuel od herml Performnce Eskndri, M.1; Bvndi, A ; Mihndoost, A3* 1 Deprtment of Physics, Islmic Azd University, Shirz
More informationx = b a N. (13-1) The set of points used to subdivide the range [a, b] (see Fig. 13.1) is
Jnury 28, 2002 13. The Integrl The concept of integrtion, nd the motivtion for developing this concept, were described in the previous chpter. Now we must define the integrl, crefully nd completely. According
More information1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation
1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview
More informationSolutions of Klein - Gordan equations, using Finite Fourier Sine Transform
IOSR Journl of Mthemtics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 13, Issue 6 Ver. IV (Nov. - Dec. 2017), PP 19-24 www.iosrjournls.org Solutions of Klein - Gordn equtions, using Finite Fourier
More informationQuantum Physics II (8.05) Fall 2013 Assignment 2
Quntum Physics II (8.05) Fll 2013 Assignment 2 Msschusetts Institute of Technology Physics Deprtment Due Fridy September 20, 2013 September 13, 2013 3:00 pm Suggested Reding Continued from lst week: 1.
More informationAMATH 731: Applied Functional Analysis Fall Some basics of integral equations
AMATH 731: Applied Functionl Anlysis Fll 2009 1 Introduction Some bsics of integrl equtions An integrl eqution is n eqution in which the unknown function u(t) ppers under n integrl sign, e.g., K(t, s)u(s)
More informationSection 6.1 INTRO to LAPLACE TRANSFORMS
Section 6. INTRO to LAPLACE TRANSFORMS Key terms: Improper Integrl; diverge, converge A A f(t)dt lim f(t)dt Piecewise Continuous Function; jump discontinuity Function of Exponentil Order Lplce Trnsform
More informationChapter 3. Vector Spaces
3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce
More informationIntroduction to Finite Element Method
Introduction to Finite Element Method Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pn.pl/ tzielins/ Tble of Contents 1 Introduction 1 1.1 Motivtion nd generl concepts.............
More informationOrdinary Differential Equations- Boundary Value Problem
Ordinry Differentil Equtions- Boundry Vlue Problem Shooting method Runge Kutt method Computer-bsed solutions o BVPFD subroutine (Fortrn IMSL subroutine tht Solves (prmeterized) system of differentil equtions
More informationMath 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008
Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of
More informationThe Algebra (al-jabr) of Matrices
Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense
More informationNote 12. Introduction to Digital Control Systems
Note Introduction to Digitl Control Systems Deprtment of Mechnicl Engineering, University Of Ssktchewn, 57 Cmpus Drive, Ssktoon, SK S7N 5A9, Cnd . Introduction A digitl control system is one in which the
More informationFactors affecting the phonation threshold pressure and frequency
3SC Fctors ffecting the phontion threshold pressure nd frequency Zhoyn Zhng School of Medicine, University of Cliforni Los Angeles, CA, USA My, 9 57 th ASA Meeting, Portlnd, Oregon Acknowledgment: Reserch
More informationResearch Article Numerical Treatment of Singularly Perturbed Two-Point Boundary Value Problems by Using Differential Transformation Method
Discrete Dynmics in Nture nd Society Volume 202, Article ID 57943, 0 pges doi:0.55/202/57943 Reserch Article Numericl Tretment of Singulrly Perturbed Two-Point Boundry Vlue Problems by Using Differentil
More informationMATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1
MATH3432: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section Outline nd Introduction ecturer: Dr. Willim J. Prnell (room 2.238; Willim.Prnell@mnchester.c.uk Exercise sheets, solutions,
More informationChaos in drive systems
Applied nd Computtionl Mechnics 1 (2007) 121-126 Chos in drive systems Ctird Krtochvíl, Mrtin Houfek, Josef Koláčný b, Romn Kříž b, Lubomír Houfek,*, Jiří Krejs Institute of Thermomechnics, brnch Brno,
More informationMath 270A: Numerical Linear Algebra
Mth 70A: Numericl Liner Algebr Instructor: Michel Holst Fll Qurter 014 Homework Assignment #3 Due Give to TA t lest few dys before finl if you wnt feedbck. Exercise 3.1. (The Bsic Liner Method for Liner
More informationCHEM-UA 652: Thermodynamics and Kinetics
CHEM-UA 65: Thermodynmics nd Kinetics Notes for Lecture I. WHAT IS PHYSICAL CHEMISTRY? Physicl chemistry is truly interdisciplinry brnch of chemistry tht exists t the boundry between chemistry nd physics.
More informationModelling of the near infra-red radiation pulse propagation in biological tissues for medical imaging application
JOURNAL OF INTENSE PULSED LASERS AND APPLICATIONS IN ADVANCED PHYSICS Vol. 3, No. 4, p. 4-45 Modelling of the ner infr-red rdition pulse propgtion in biologicl tissues for medicl imging ppliction A. SAOULI
More informationSTEP FUNCTIONS, DELTA FUNCTIONS, AND THE VARIATION OF PARAMETERS FORMULA. 0 if t < 0, 1 if t > 0.
STEP FUNCTIONS, DELTA FUNCTIONS, AND THE VARIATION OF PARAMETERS FORMULA STEPHEN SCHECTER. The unit step function nd piecewise continuous functions The Heviside unit step function u(t) is given by if t
More informationDefinite Integrals. Young Won Lim 6/25/15
Definite Integrls Copyright (c 2011-2015 Young W. Lim. Permission is grnted to copy, distribute nd/or modify this document under the terms of the GNU Free Documenttion License, Version 1.2 or ny lter version
More informationNAG Toolbox for Matlab Chapter Introduction D05 Integral Equations
NAG Toolbox for Mtlb Mnul NAG Toolbox for Mtlb Chpter Introduction D05 Integrl Equtions Contents 1 Scope of the Chpter... 2 2 Bckground to the Problems... 2 3 Recommendtions on Choice nd Use of Avilble
More informationMath 6395: Hyperbolic Conservation Laws and Numerical Methods. Hyperbolic Conservation Laws are a type of PDEs arise from physics: fluid/gas dynamics.
Mth 6395: Hyperbolic Conservtion Lws nd Numericl Methods Course structure Hyperbolic Conservtion Lws re type of PDEs rise from physics: fluid/gs dynmics. Distintive solution structures Other types of PDEs
More informationNew Expansion and Infinite Series
Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University
More informationMathematic Model of Green Function with Two-Dimensional Free Water Surface *
Applied Mthemtics, 23, 4, 75-79 http://d.doi.org/.4236/m.23.48a Published Online August 23 (http://www.scirp.org/journl/m) Mthemtic Model of Green Function with Two-Dimensionl Free Wter Surfce * Sujing
More informationExploring parametric representation with the TI-84 Plus CE graphing calculator
Exploring prmetric representtion with the TI-84 Plus CE grphing clcultor Richrd Prr Executive Director Rice University School Mthemtics Project rprr@rice.edu Alice Fisher Director of Director of Technology
More informationWe will see what is meant by standard form very shortly
THEOREM: For fesible liner progrm in its stndrd form, the optimum vlue of the objective over its nonempty fesible region is () either unbounded or (b) is chievble t lest t one extreme point of the fesible
More informationThe Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases.
Section 1 Section 2 The module clcultes nd plots isotherml 1-, 2- nd 3-metl predominnce re digrms. ccesses only compound dtbses. Tble of Contents Tble of Contents Opening the module Section 3 Stoichiometric
More informationThe Active Universe. 1 Active Motion
The Active Universe Alexnder Glück, Helmuth Hüffel, Sš Ilijić, Gerld Kelnhofer Fculty of Physics, University of Vienn helmuth.hueffel@univie.c.t Deprtment of Physics, FER, University of Zgreb ss.ilijic@fer.hr
More informationarxiv: v1 [math.gm] 30 Dec 2015
A NEW FRACTIONAL DERIVATIVE WITHOUT SINGULAR KERNEL: APPLICATION TO THE MODELLING OF THE STEADY HEAT FLOW rxiv:161.1623v1 [mth.gm] 3 Dec 215 by Xio-Jun YANG, H. M. SRIVASTAVA b,c, J. A. Tenreiro MACHADO
More informationThis is an author-deposited version published in: Eprints ID: 13643
Open Archive Toulouse Archive Ouverte (OATAO) OATAO is n open ccess repository tht collects the work of Toulouse reserchers nd mkes it freely vilble over the web where possible. This is n uthor-deposited
More informationTopic 1 Notes Jeremy Orloff
Topic 1 Notes Jerem Orloff 1 Introduction to differentil equtions 1.1 Gols 1. Know the definition of differentil eqution. 2. Know our first nd second most importnt equtions nd their solutions. 3. Be ble
More informationThe First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).
The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples
More informationGeneralizations of the Basic Functional
3 Generliztions of the Bsic Functionl 3 1 Chpter 3: GENERALIZATIONS OF THE BASIC FUNCTIONAL TABLE OF CONTENTS Pge 3.1 Functionls with Higher Order Derivtives.......... 3 3 3.2 Severl Dependent Vribles...............
More informationu = 0 in Ω, u = f on B,
Preprint April 1991 Colordo Stte University Deprtment of Mthemtics COMPUTATION OF WEAKLY AND NEARLY SINGULAR INTEGRALS OVER TRIANGLES IN R 3 EUGENE L. ALLGOWER 1,2,4, KURT GEORG 1,3,4 nd KARL KALIK 3,5
More informationChapter H1: Introduction, Heat Equation
Nme Due Dte: Problems re collected on Wednesdy. Mth 3150 Problems Hbermn Chpter H1 Submitted work. Plese submit one stpled pckge per problem set. Lbel ech problem with its corresponding problem number,
More informationAdomian Decomposition Method with Green s. Function for Solving Twelfth-Order Boundary. Value Problems
Applied Mthemticl Sciences, Vol. 9, 25, no. 8, 353-368 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/.2988/ms.25.486 Adomin Decomposition Method with Green s Function for Solving Twelfth-Order Boundry
More informationChapter 1. Chapter 1 1
Chpter Chpter : Signls nd Systems... 2. Introduction... 2.2 Signls... 3.2. Smpling... 4.2.2 Periodic Signls... 0.2.3 Discrete-Time Sinusoidl Signls... 2.2.4 Rel Exponentil Signls... 5.2.5 Complex Exponentil
More informationResearch Article Analytical Solution of the Fractional Fredholm Integrodifferential Equation Using the Fractional Residual Power Series Method
Hindwi Compleity Volume 7, Article ID 457589, 6 pges https://doi.org/.55/7/457589 Reserch Article Anlyticl Solution of the Frctionl Fredholm Integrodifferentil Eqution Using the Frctionl Residul Power
More informationCHAPTER 4a. ROOTS OF EQUATIONS
CHAPTER 4. ROOTS OF EQUATIONS A. J. Clrk School o Engineering Deprtment o Civil nd Environmentl Engineering by Dr. Ibrhim A. Asskk Spring 00 ENCE 03 - Computtion Methods in Civil Engineering II Deprtment
More informationCOMPARISON PRINCIPLES FOR DIFFERENTIAL EQUATIONS INVOLVING CAPUTO FRACTIONAL DERIVATIVE WITH MITTAG-LEFFLER NON-SINGULAR KERNEL
Electronic Journl of Differentil Equtions, Vol. 2018 (2018, No. 36, pp. 1 10. ISSN: 1072-6691. URL: http://ejde.mth.txstte.edu or http://ejde.mth.unt.edu COMPARISON PRINCIPLES FOR DIFFERENTIAL EQUATIONS
More informationSequential Fractional Differential Equations with Hadamard Derivative
Sequentil Frctionl Differentil Equtions with Hdmrd Derivtive M. Klimek Institute of Mthemtics, Czestochow University of Technoy ul. Dbrowskiego 73, 42-200 Czestochow, Polnd e-mil: klimek@im.pcz.pl). Abstrct:
More informationDesign and Testing of Coils for Pulsed Electromagnetic Forming
Design nd Testing of Coils for Pulsed Electromgnetic Forming. Golovshchenko, N. Bessonov, R. Dvies Ford Reserch & Advnced Engineering, Derborn, UA University of Michign-Derborn, Derborn, UA Pcific Northwest
More informationPhysics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018
Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.
More informationGreedy regular expression matching
Alin Frisch INRIA Luc Crdelli MSRC 2004-05-15 ICALP The mtching prolem The prolem Project the structure of regulr expression on flt sequence. R = ( ) w = 1 2 1 2 3 v = [1 : [ 1 ; 2 ]; 2 : 1 ; 2 : 2 ; 1
More informationState space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies
Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response
More informationJim Lambers MAT 169 Fall Semester Lecture 4 Notes
Jim Lmbers MAT 169 Fll Semester 2009-10 Lecture 4 Notes These notes correspond to Section 8.2 in the text. Series Wht is Series? An infinte series, usully referred to simply s series, is n sum of ll of
More informationSystem Identification with Noisy Data
System Identifiction with Noisy Dt U K Dewngn & S V Bri 2 Dept of Civil Engineering, Ntionl Institute of Technology, Ripur, Indi 2 Dept of Civil Engineering, IIT Khrgpur, Khrgpur -72 302, Indi E-mil :
More informationClassical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011
Clssicl Mechnics From Moleculr to Con/nuum Physics I WS 11/12 Emilino Ippoli/ October, 2011 Wednesdy, October 12, 2011 Review Mthemtics... Physics Bsic thermodynmics Temperture, idel gs, kinetic gs theory,
More informationGreen s functions. f(t) =
Consider the 2nd order liner inhomogeneous ODE Green s functions d 2 u 2 + k(t)du + p(t)u(t) = f(t). Of course, in prctice we ll only del with the two prticulr types of 2nd order ODEs we discussed lst
More information6.2 CONCEPTS FOR ADVANCED MATHEMATICS, C2 (4752) AS
6. CONCEPTS FOR ADVANCED MATHEMATICS, C (475) AS Objectives To introduce students to number of topics which re fundmentl to the dvnced study of mthemtics. Assessment Emintion (7 mrks) 1 hour 30 minutes.
More informationCOMPUTER SCIENCE TRIPOS
CST.2011.2.1 COMPUTER SCIENCE TRIPOS Prt IA Tuesdy 7 June 2011 1.30 to 4.30 COMPUTER SCIENCE Pper 2 Answer one question from ech of Sections A, B nd C, nd two questions from Section D. Submit the nswers
More information3 Conservation Laws, Constitutive Relations, and Some Classical PDEs
3 Conservtion Lws, Constitutive Reltions, nd Some Clssicl PDEs As topic between the introduction of PDEs nd strting to consider wys to solve them, this section introduces conservtion of mss nd its differentil
More informationConservation Law. Chapter Goal. 5.2 Theory
Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very
More informationPhysics 202H - Introductory Quantum Physics I Homework #08 - Solutions Fall 2004 Due 5:01 PM, Monday 2004/11/15
Physics H - Introductory Quntum Physics I Homework #8 - Solutions Fll 4 Due 5:1 PM, Mondy 4/11/15 [55 points totl] Journl questions. Briefly shre your thoughts on the following questions: Of the mteril
More informationNumerical Integration
Chpter 1 Numericl Integrtion Numericl differentition methods compute pproximtions to the derivtive of function from known vlues of the function. Numericl integrtion uses the sme informtion to compute numericl
More informationA Criterion on Existence and Uniqueness of Behavior in Electric Circuit
Institute Institute of of Advnced Advnced Engineering Engineering nd nd Science Science Interntionl Journl of Electricl nd Computer Engineering (IJECE) Vol 6, No 4, August 2016, pp 1529 1533 ISSN: 2088-8708,
More informationIntroduction to the Calculus of Variations
Introduction to the Clculus of Vritions Jim Fischer Mrch 20, 1999 Abstrct This is self-contined pper which introduces fundmentl problem in the clculus of vritions, the problem of finding extreme vlues
More informationSummarizing Remarks λ λ λ. : equilibrium geometry
112 Summrizing Remrks... 112 Summrizing Remrks The theory underlying chemicl processes, in prticulr chemicl equilibrium is mture science. The bsis of the edifice is Quntum Mechnics! For prticulr volume
More informationThe Solution of Volterra Integral Equation of the Second Kind by Using the Elzaki Transform
Applied Mthemticl Sciences, Vol. 8, 214, no. 11, 525-53 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/1.12988/ms.214.312715 The Solution of Volterr Integrl Eqution of the Second Kind by Using the Elzki
More informationIST 4 Information and Logic
IST 4 Informtion nd Logic T = tody x= hw#x out x= hw#x due mon tue wed thr fri 31 M1 1 7 oh M1 14 oh 1 oh 2M2 21 oh oh 2 oh Mx= MQx out Mx= MQx due 28 oh M2 oh oh = office hours 5 3 12 oh 3 T 4 oh oh 19
More informationAN020. a a a. cos. cos. cos. Orientations and Rotations. Introduction. Orientations
AN020 Orienttions nd Rottions Introduction The fct tht ccelerometers re sensitive to the grvittionl force on the device llows them to be used to determine the ttitude of the sensor with respect to the
More informationMath 113 Fall Final Exam Review. 2. Applications of Integration Chapter 6 including sections and section 6.8
Mth 3 Fll 0 The scope of the finl exm will include: Finl Exm Review. Integrls Chpter 5 including sections 5. 5.7, 5.0. Applictions of Integrtion Chpter 6 including sections 6. 6.5 nd section 6.8 3. Infinite
More informationGreen s function. Green s function. Green s function. Green s function. Green s function. Green s functions. Classical case (recall)
Green s functions 3. G(t, τ) nd its derivtives G (k) t (t, τ), (k =,..., n 2) re continuous in the squre t, τ t with respect to both vribles, George Green (4 July 793 3 My 84) In 828 Green privtely published
More informationDecision Making, Chaos and Determinism
Gerld H. Thoms Decision Mking, Chos nd Determinism Milwukee School of Engineering June, 2013 B-1. Introduction Decision mking is one of the most humn cts nd seems to be the most difficult re to formlize
More informationMath 100 Review Sheet
Mth 100 Review Sheet Joseph H. Silvermn December 2010 This outline of Mth 100 is summry of the mteril covered in the course. It is designed to be study id, but it is only n outline nd should be used s
More informationLec 3: Power System Components
Lec 3: Power System Components Dr. Mlbik Bsu 8/0/2009 Lesson pln 3 nd L.O. Sequence nlysis exmple ( detil fult nlysis next sem) Trnsformer model recp, tp chnge nd phse chnge, 3-phse Modeling of Synchronous
More informationEulers Method for Fractional Differential Equations
Eulers Method for Frctionl Differentil Equtions PING TONG School of Science Wuhn University of Science Technology Wuhn 4365 CHINA tongping2@63.com YUQIANG FENG School of Science Wuhn University of Science
More informationChapter 5 : Continuous Random Variables
STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 216 Néhémy Lim Chpter 5 : Continuous Rndom Vribles Nottions. N {, 1, 2,...}, set of nturl numbers (i.e. ll nonnegtive integers); N {1, 2,...}, set of ll
More informationany possibly dd stfdf Eds : already it state variable. xy + 7 ulliple ordinary differential equations through form that is a first-order differential
vlued Anlysis dynmicl systems : Dynmicl cn be described either systems ny ordinry differentil equtions ulliple sclr vribles in or in stte form tht is firstorder differentil dimensionl eqution vector in
More informationGammaRegularized. Notations. Primary definition. Specific values. Traditional name. Traditional notation. Mathematica StandardForm notation
GmmRegulrized Nottions Trditionl nme Regulrized incomplete gmm function Trditionl nottion Q, z Mthemtic StndrdForm nottion GmmRegulrized, z Primry definition 06.08.0.000.0, z Q, z Specific vlues Specilized
More informationLecture 23: Interpolatory Quadrature
Lecture 3: Interpoltory Qudrture. Qudrture. The computtion of continuous lest squres pproximtions to f C[, b] required evlutions of the inner product f, φ j = fxφ jx dx, where φ j is polynomil bsis function
More informationLinear and Non-linear Feedback Control Strategies for a 4D Hyperchaotic System
Pure nd Applied Mthemtics Journl 017; 6(1): 5-13 http://www.sciencepublishinggroup.com/j/pmj doi: 10.11648/j.pmj.0170601.1 ISSN: 36-9790 (Print); ISSN: 36-981 (Online) Liner nd Non-liner Feedbck Control
More informationSOLUTION OF QUADRATIC NONLINEAR PROBLEMS WITH MULTIPLE SCALES LINDSTEDT-POINCARE METHOD. Mehmet Pakdemirli and Gözde Sarı
Mthemticl nd Computtionl Applictions, Vol., No., pp. 37-5, 5 http://dx.doi.org/.99/mc-5- SOLUTION OF QUADRATIC NONLINEAR PROBLEMS WITH MULTIPLE SCALES LINDSTEDT-POINCARE METHOD Mehmet Pkdemirli nd Gözde
More informationFractional calculus: basic theory and applications (Part I)
Frctionl clculus: bsic theory nd pplictions (Prt I) Diego del-cstillo-negrete Ok Ridge Ntionl Lbortory Fusion Energy Division P.O. Bo 28, MS 669 Ok Ridge, TN 3783-669 phone: (865) 574-27 FAX: (865) 576-7926
More informationMatFys. Week 2, Nov , 2005, revised Nov. 23
MtFys Week 2, Nov. 21-27, 2005, revised Nov. 23 Lectures This week s lectures will be bsed on Ch.3 of the text book, VIA. Mondy Nov. 21 The fundmentls of the clculus of vritions in Eucliden spce nd its
More informationThe Role of Symmetry in the Regularity Properties of Optimal Controls
Proceedings of Institute of Mthemtics of NAS of Ukrine 2004, Vol. 50, Prt 3, 1488 1495 The Role of Symmetry in the Regulrity Properties of Optiml Controls Delfim F.M. TORRES Deprtment of Mthemtics, University
More informationA Direct Transformation of a Matrix Spectrum
dvnces in Liner lgebr & Mtri heory 05 5 09-8 Published Online September 05 in SciRes. http://www.scirp.org/journl/lmt http://d.doi.org/0.46/lmt.05.50 Direct rnsformtion of Mtri Spectrum lbert Iskhkov Sergey
More information