You may not use your books, notes; calculators are highly recommended.

Size: px
Start display at page:

Download "You may not use your books, notes; calculators are highly recommended."

Transcription

1 Math 301 Winter Midterm 1 02/06/2014 Time Limit: 60 Minutes Name (Print): Instructor This exam contains 8 pages (including this cover page) and 6 problems. Check to see if any pages are missing. Enter all requested information on the top of this page, and put your initials on the top of every page, in case the pages become separated. You may not use your books, notes; calculators are highly recommended. You are required to show your work to problems 3 to 5 and choose between problems 1 and 2 to get a total of 100 points. Please indicate clearly which one you want to be graded. The last problem is optional. The following rules apply: If you see what seems to be a mistake notice it on your work and explain why and what decision you take to get around it. Organize your work, in a reasonably neat and coherent way, in the space provided. Work scattered all over the page without a clear ordering will receive no credit. Mysterious or unsupported answers will not receive full credit. A correct answer, unsupported by calculations, explanation, or algebraic work will receive no credit; an incorrect answer supported by substantially correct calculations and explanations might still receive partial credit. If you need more space, use the back of the pages; clearly indicate when you have done this. Problem Points Score Total: 120 Electronic devices shall not be used. Laptops, phones should be kept in your bags or pocket. Nothing else that this exam, a calculator and a pen/pencil should remain on your desk. Do not write in the table to the right.

2 Math 301 Midterm 1 - Page 2 of 8 02/06/ Answer the following questions (make sure you justify - either providing a counter example, or an accurate proof): (a) (4 points) What does it mean for a function f(t, y) to be Lipschitz in y on a domain D = {(t, y) : a t b, α y β}? (b) (4 points) Is a Lipschitz function always differentiable? (if not, give an example, if yes, prove it by analyzing the ratio f(x+h) f(x) h ) (c) (4 points) T/F - The domain D = {(x, y) : x 2 + y 2 < 1} is convex. (d) (4 points) T/F - The domain D = {(x, y) : x 2 + y 2 1} is convex. (e) (4 points) T/F - The domain D = {(x, y) : x 2 + y 2 = 1} is convex. Remark 1. Remember, a domain is said to be convex if, for any two points u and v in the domain, and for any λ [0, 1], the new point w λ := λu + (1 λv) is in the domain.

3 Math 301 Midterm 1 - Page 3 of 8 02/06/ (10 points) 1. What is the advantage of Runge-Kutta methods over Taylor methods? 2. What is the fundamental difference between Adams-XX methods and RK methods? (XX stands for either Bashforth or Moulton i.e. explicit or implicit) 3. Why would you consider using explicit methods over implicit methods? And why would you consider using implicit over explicit? (in other words, what is the main advantage of each of these techniques) 3. For a certain step size h, we consider the following difference equation: y i+1 = y i + h (αf (t i, y i ) + βf (t i + h/2, y i + h/2f (t i, y i )) + γf (t i + h, y i + hf (t i, y i ))) (1) (a) (10 points) Write this expression in the form of a Butcher s tableau (see Table 1) and verify that its coefficient do not contradict the conditions to be a Runge-Kutta method seen in class.

4 Math 301 Midterm 1 - Page 4 of 8 02/06/2014 c A b T Table 1: General Butcher s tableau (b) (15 points) Find conditions on α, β, and γ such that the difference equation (1) corresponds to (see the given Butcher s tableaus) 1. Euler s method: 2. Midpoint formula: 3. Trapezoidal rule: 0 0 1/2 1/ Euler s method Midpoint formula (c) (5 points) Show that this method is consistent if α + β + γ = /2 1/2 Trapezoidal rule (d) (4 points) Calculate the degree 3 Taylor expansion of y(t i+1 ) about t i.

5 Math 301 Midterm 1 - Page 5 of 8 02/06/2014 (e) (6 points) Calcualte the degree 2 Taylor expansions of f(t i + h/2, y(t i ) + h/2f(t i, y(t i ))) and f(t i + h, y(t i ) + hf(t i, y(t i ))) about f(t i, y(t i )). (f) (5 points) Using the two previous questions, find conditions on α, β, and γ such that the difference method in this exercise has a local truncation error order of at least O(h 2 ). 4. Consider the following initial value problem: { ) y = f(t, y) = t (y 2 + e 2t3 /3, 0 t 1 y 0 = y(0) = 0 (IV P 1 ) (a) (10 points) Show that the unique solution is given by y(t) = y(t) = e 2t3 /3 e t3 /3 (make sure to justify and recall the theorems used).

6 Math 301 Midterm 1 - Page 6 of 8 02/06/2014 (b) (10 points) Write the difference equation associated to the numerical approximation using a Taylor method of order (15 points) Do these two Initial Value Problems have a unique solution? (make sure you answer accurately and justify accordingly) { y = f(t, y) = y+t+1 y 2 +t 2 +1, 1 t 1 (IV P a ) y 0 = y( 1) = 2 { y = f(t, y) = 2 t y + t2 e y2, 1 t 2 (IV P b ) y 0 = y(1) = 1

7 Math 301 Midterm 1 - Page 7 of 8 02/06/ (10 points) This question is optional and only meant to keep all of you busy for the whole hour. It will be graded only if you show you tried the rest. Using Taylor polynomials of y and f at t i 1, t i, and t i+1, derive a 3 step implicit method to solve the following IVP: { y = f(t, y), a t b y(b) = y 0 (IV P 2 ) You may use f i to denote f(t i, y i ) and h as a step size. Do you have to have a fixed step size h?

8 Math 301 Midterm 1 - Page 8 of 8 02/06/2014 Your go to midterm-evaluate me! (Note: You don t HAVE to fill out these questions, and whatever you say will not affect the rest of this class - you may actually rip it off and hand it in separately if you wish) 1. What interest you the most in this class? 2. What am I doing well that is helping you to understand/learn these topics? 3. What am I doing that is hindering your learning? 4. What would you like me to change or add for the 5 remaining weeks of class?

Spring 2017 Midterm 1 04/26/2017

Spring 2017 Midterm 1 04/26/2017 Math 2B Spring 2017 Midterm 1 04/26/2017 Time Limit: 50 Minutes Name (Print): Student ID This exam contains 10 pages (including this cover page) and 5 problems. Check to see if any pages are missing. Enter

More information

Autumn 2015 Practice Final. Time Limit: 1 hour, 50 minutes

Autumn 2015 Practice Final. Time Limit: 1 hour, 50 minutes Math 309 Autumn 2015 Practice Final December 2015 Time Limit: 1 hour, 50 minutes Name (Print): ID Number: This exam contains 9 pages (including this cover page) and 8 problems. Check to see if any pages

More information

Spring 2014 Midterm 1 02/26/14 Lecturer: Jesus Martinez Garcia

Spring 2014 Midterm 1 02/26/14 Lecturer: Jesus Martinez Garcia Math 0 Spring 04 Midterm 0/6/4 Lecturer: Jesus Martinez Garcia Time Limit: 50 minutes Name (Print: Teaching Assistant This exam contains 9 pages (including this cover page and 4 problems Check to see if

More information

Consistency and Convergence

Consistency and Convergence Jim Lambers MAT 77 Fall Semester 010-11 Lecture 0 Notes These notes correspond to Sections 1.3, 1.4 and 1.5 in the text. Consistency and Convergence We have learned that the numerical solution obtained

More information

Numerical Methods - Initial Value Problems for ODEs

Numerical Methods - Initial Value Problems for ODEs Numerical Methods - Initial Value Problems for ODEs Y. K. Goh Universiti Tunku Abdul Rahman 2013 Y. K. Goh (UTAR) Numerical Methods - Initial Value Problems for ODEs 2013 1 / 43 Outline 1 Initial Value

More information

Fall 2013 Hour Exam 2 11/08/13 Time Limit: 50 Minutes

Fall 2013 Hour Exam 2 11/08/13 Time Limit: 50 Minutes Math 8 Fall Hour Exam /8/ Time Limit: 5 Minutes Name (Print): This exam contains 9 pages (including this cover page) and 7 problems. Check to see if any pages are missing. Enter all requested information

More information

You may not use your books/notes on this exam. You may use calculator.

You may not use your books/notes on this exam. You may use calculator. MATH 450 Fall 2018 Review problems 12/03/18 Time Limit: 60 Minutes Name (Print: This exam contains 6 pages (including this cover page and 5 problems. Check to see if any pages are missing. Enter all requested

More information

Fall Math 3410 Name (Print): Solution KEY Practice Exam 2 - November 4 Time Limit: 50 Minutes

Fall Math 3410 Name (Print): Solution KEY Practice Exam 2 - November 4 Time Limit: 50 Minutes Fall 206 - Math 340 Name (Print): Solution KEY Practice Exam 2 - November 4 Time Limit: 50 Minutes This exam contains pages (including this cover page) and 5 problems. Check to see if any pages are missing.

More information

Winter 2014 Practice Final 3/21/14 Student ID

Winter 2014 Practice Final 3/21/14 Student ID Math 4C Winter 2014 Practice Final 3/21/14 Name (Print): Student ID This exam contains 5 pages (including this cover page) and 20 problems. Check to see if any pages are missing. Enter all requested information

More information

Review Higher Order methods Multistep methods Summary HIGHER ORDER METHODS. P.V. Johnson. School of Mathematics. Semester

Review Higher Order methods Multistep methods Summary HIGHER ORDER METHODS. P.V. Johnson. School of Mathematics. Semester HIGHER ORDER METHODS School of Mathematics Semester 1 2008 OUTLINE 1 REVIEW 2 HIGHER ORDER METHODS 3 MULTISTEP METHODS 4 SUMMARY OUTLINE 1 REVIEW 2 HIGHER ORDER METHODS 3 MULTISTEP METHODS 4 SUMMARY OUTLINE

More information

Fourth Order RK-Method

Fourth Order RK-Method Fourth Order RK-Method The most commonly used method is Runge-Kutta fourth order method. The fourth order RK-method is y i+1 = y i + 1 6 (k 1 + 2k 2 + 2k 3 + k 4 ), Ordinary Differential Equations (ODE)

More information

Euler s Method, cont d

Euler s Method, cont d Jim Lambers MAT 461/561 Spring Semester 009-10 Lecture 3 Notes These notes correspond to Sections 5. and 5.4 in the text. Euler s Method, cont d We conclude our discussion of Euler s method with an example

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Midterm 2a 2/28/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 10 pages (including this cover page) and 9 problems. Check to see if any

More information

1 Error Analysis for Solving IVP

1 Error Analysis for Solving IVP cs412: introduction to numerical analysis 12/9/10 Lecture 25: Numerical Solution of Differential Equations Error Analysis Instructor: Professor Amos Ron Scribes: Yunpeng Li, Mark Cowlishaw, Nathanael Fillmore

More information

- - - - - - - - - - - - - - - - - - DISCLAIMER - - - - - - - - - - - - - - - - - - General Information: This is a midterm from a previous semester. This means: This midterm contains problems that are of

More information

5. Hand in the entire exam booklet and your computer score sheet.

5. Hand in the entire exam booklet and your computer score sheet. WINTER 2016 MATH*2130 Final Exam Last name: (PRINT) First name: Student #: Instructor: M. R. Garvie 19 April, 2016 INSTRUCTIONS: 1. This is a closed book examination, but a calculator is allowed. The test

More information

Numerical Differential Equations: IVP

Numerical Differential Equations: IVP Chapter 11 Numerical Differential Equations: IVP **** 4/16/13 EC (Incomplete) 11.1 Initial Value Problem for Ordinary Differential Equations We consider the problem of numerically solving a differential

More information

Initial value problems for ordinary differential equations

Initial value problems for ordinary differential equations Initial value problems for ordinary differential equations Xiaojing Ye, Math & Stat, Georgia State University Spring 2019 Numerical Analysis II Xiaojing Ye, Math & Stat, Georgia State University 1 IVP

More information

Fall /29/18 Time Limit: 75 Minutes

Fall /29/18 Time Limit: 75 Minutes Math 411: Abstract Algebra Fall 2018 Midterm 10/29/18 Time Limit: 75 Minutes Name (Print): Solutions JHU-ID: This exam contains 8 pages (including this cover page) and 6 problems. Check to see if any pages

More information

MTH 452/552 Homework 3

MTH 452/552 Homework 3 MTH 452/552 Homework 3 Do either 1 or 2. 1. (40 points) [Use of ode113 and ode45] This problem can be solved by a modifying the m-files odesample.m and odesampletest.m available from the author s webpage.

More information

Ordinary Differential Equations II

Ordinary Differential Equations II Ordinary Differential Equations II CS 205A: Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon CS 205A: Mathematical Methods Ordinary Differential Equations II 1 / 29 Almost Done! No

More information

Applied Math for Engineers

Applied Math for Engineers Applied Math for Engineers Ming Zhong Lecture 15 March 28, 2018 Ming Zhong (JHU) AMS Spring 2018 1 / 28 Recap Table of Contents 1 Recap 2 Numerical ODEs: Single Step Methods 3 Multistep Methods 4 Method

More information

Summer Session Practice Final Exam

Summer Session Practice Final Exam Math 2F Summer Session 25 Practice Final Exam Time Limit: Hours Name (Print): Teaching Assistant This exam contains pages (including this cover page) and 9 problems. Check to see if any pages are missing.

More information

Ordinary Differential Equations

Ordinary Differential Equations CHAPTER 8 Ordinary Differential Equations 8.1. Introduction My section 8.1 will cover the material in sections 8.1 and 8.2 in the book. Read the book sections on your own. I don t like the order of things

More information

Final Exam Practice Problems Part II: Sequences and Series Math 1C: Calculus III

Final Exam Practice Problems Part II: Sequences and Series Math 1C: Calculus III Name : c Jeffrey A. Anderson Class Number:. Final Exam Practice Problems Part II: Sequences and Series Math C: Calculus III What are the rules of this exam? PLEASE DO NOT TURN THIS PAGE UNTIL TOLD TO DO

More information

multistep methods Last modified: November 28, 2017 Recall that we are interested in the numerical solution of the initial value problem (IVP):

multistep methods Last modified: November 28, 2017 Recall that we are interested in the numerical solution of the initial value problem (IVP): MATH 351 Fall 217 multistep methods http://www.phys.uconn.edu/ rozman/courses/m351_17f/ Last modified: November 28, 217 Recall that we are interested in the numerical solution of the initial value problem

More information

Spring 2015 Midterm 1 03/04/15 Lecturer: Jesse Gell-Redman

Spring 2015 Midterm 1 03/04/15 Lecturer: Jesse Gell-Redman Math 0 Spring 05 Midterm 03/04/5 Lecturer: Jesse Gell-Redman Time Limit: 50 minutes Name (Print): Teaching Assistant This exam contains pages (including this cover page) and 5 problems. Check to see if

More information

Initial-Value Problems for ODEs. Introduction to Linear Multistep Methods

Initial-Value Problems for ODEs. Introduction to Linear Multistep Methods Initial-Value Problems for ODEs Introduction to Linear Multistep Methods Numerical Analysis (9th Edition) R L Burden & J D Faires Beamer Presentation Slides prepared by John Carroll Dublin City University

More information

Graded Project #1. Part 1. Explicit Runge Kutta methods. Goals Differential Equations FMN130 Gustaf Söderlind and Carmen Arévalo

Graded Project #1. Part 1. Explicit Runge Kutta methods. Goals Differential Equations FMN130 Gustaf Söderlind and Carmen Arévalo 2008-11-07 Graded Project #1 Differential Equations FMN130 Gustaf Söderlind and Carmen Arévalo This homework is due to be handed in on Wednesday 12 November 2008 before 13:00 in the post box of the numerical

More information

- - - - - - - - - - - - - - - - - - DISCLAIMER - - - - - - - - - - - - - - - - - - General Information: This midterm is a sample midterm. This means: The sample midterm contains problems that are of similar,

More information

Chapter 5 Exercises. (a) Determine the best possible Lipschitz constant for this function over 2 u <. u (t) = log(u(t)), u(0) = 2.

Chapter 5 Exercises. (a) Determine the best possible Lipschitz constant for this function over 2 u <. u (t) = log(u(t)), u(0) = 2. Chapter 5 Exercises From: Finite Difference Methods for Ordinary and Partial Differential Equations by R. J. LeVeque, SIAM, 2007. http://www.amath.washington.edu/ rjl/fdmbook Exercise 5. (Uniqueness for

More information

Section 7.4 Runge-Kutta Methods

Section 7.4 Runge-Kutta Methods Section 7.4 Runge-Kutta Methods Key terms: Taylor methods Taylor series Runge-Kutta; methods linear combinations of function values at intermediate points Alternatives to second order Taylor methods Fourth

More information

Math 1132 Practice Exam 1 Spring 2016

Math 1132 Practice Exam 1 Spring 2016 University of Connecticut Department of Mathematics Math 32 Practice Exam Spring 206 Name: Instructor Name: TA Name: Section: Discussion Section: Read This First! Please read each question carefully. Show

More information

Fall 2016 Exam 3 NAME: PIN:

Fall 2016 Exam 3 NAME: PIN: MARK BOX problem points 0 18 1 12 2-11 50=10(5) 12 10 13 10 % 100 NAME: PIN: HAND IN PART INSTRUCTIONS This exam comes in two parts. (1) HAND IN PART. Hand in only this part. (2) STATEMENT OF MULTIPLE

More information

NUMERICAL SOLUTION OF ODE IVPs. Overview

NUMERICAL SOLUTION OF ODE IVPs. Overview NUMERICAL SOLUTION OF ODE IVPs 1 Quick review of direction fields Overview 2 A reminder about and 3 Important test: Is the ODE initial value problem? 4 Fundamental concepts: Euler s Method 5 Fundamental

More information

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you.

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you. Math 54 Fall 2017 Practice Exam 2 Exam date: 10/31/17 Time Limit: 80 Minutes Name: Student ID: GSI or Section: This exam contains 7 pages (including this cover page) and 7 problems. Problems are printed

More information

Multistep Methods for IVPs. t 0 < t < T

Multistep Methods for IVPs. t 0 < t < T Multistep Methods for IVPs We are still considering the IVP dy dt = f(t,y) t 0 < t < T y(t 0 ) = y 0 So far we have looked at Euler s method, which was a first order method and Runge Kutta (RK) methods

More information

Math Numerical Analysis Homework #4 Due End of term. y = 2y t 3y2 t 3, 1 t 2, y(1) = 1. n=(b-a)/h+1; % the number of steps we need to take

Math Numerical Analysis Homework #4 Due End of term. y = 2y t 3y2 t 3, 1 t 2, y(1) = 1. n=(b-a)/h+1; % the number of steps we need to take Math 32 - Numerical Analysis Homework #4 Due End of term Note: In the following y i is approximation of y(t i ) and f i is f(t i,y i ).. Consider the initial value problem, y = 2y t 3y2 t 3, t 2, y() =.

More information

Final exam (practice) UCLA: Math 31B, Spring 2017

Final exam (practice) UCLA: Math 31B, Spring 2017 Instructor: Noah White Date: Final exam (practice) UCLA: Math 31B, Spring 2017 This exam has 8 questions, for a total of 80 points. Please print your working and answers neatly. Write your solutions in

More information

MTH132 Exam 1 Covers: Page Total. Max

MTH132 Exam 1 Covers: Page Total. Max Name: PID: A Section #: Instructor: Page 3 4 5 6 7 8 Total Score Max 4 4 4 4 1 150 Instructions 1. You will be given exactly 90 minutes for this exam.. No calculators, phones, or any electronic devices.

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Exam 1c 1/31/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 8 pages (including this cover page) and 7 problems. Check to see if any pages

More information

Lecture Notes on Numerical Differential Equations: IVP

Lecture Notes on Numerical Differential Equations: IVP Lecture Notes on Numerical Differential Equations: IVP Professor Biswa Nath Datta Department of Mathematical Sciences Northern Illinois University DeKalb, IL. 60115 USA E mail: dattab@math.niu.edu URL:

More information

ECE257 Numerical Methods and Scientific Computing. Ordinary Differential Equations

ECE257 Numerical Methods and Scientific Computing. Ordinary Differential Equations ECE257 Numerical Methods and Scientific Computing Ordinary Differential Equations Today s s class: Stiffness Multistep Methods Stiff Equations Stiffness occurs in a problem where two or more independent

More information

Do not turn over until you are told to do so by the Invigilator.

Do not turn over until you are told to do so by the Invigilator. UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 216 17 INTRODUCTION TO NUMERICAL ANALYSIS MTHE612B Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other questions.

More information

Solving scalar IVP s : Runge-Kutta Methods

Solving scalar IVP s : Runge-Kutta Methods Solving scalar IVP s : Runge-Kutta Methods Josh Engwer Texas Tech University March 7, NOTATION: h step size x n xt) t n+ t + h x n+ xt n+ ) xt + h) dx = ft, x) SCALAR IVP ASSUMED THROUGHOUT: dt xt ) =

More information

Ordinary Differential Equations II

Ordinary Differential Equations II Ordinary Differential Equations II CS 205A: Mathematical Methods for Robotics, Vision, and Graphics Justin Solomon CS 205A: Mathematical Methods Ordinary Differential Equations II 1 / 33 Almost Done! Last

More information

Algebra 2 CP Semester 1 PRACTICE Exam

Algebra 2 CP Semester 1 PRACTICE Exam Algebra 2 CP Semester 1 PRACTICE Exam NAME DATE HR You may use a calculator. Please show all work directly on this test. You may write on the test. GOOD LUCK! THIS IS JUST PRACTICE GIVE YOURSELF 45 MINUTES

More information

Math 115 Practice for Exam 2

Math 115 Practice for Exam 2 Math 115 Practice for Exam Generated October 30, 017 Name: SOLUTIONS Instructor: Section Number: 1. This exam has 5 questions. Note that the problems are not of equal difficulty, so you may want to skip

More information

Part IB Numerical Analysis

Part IB Numerical Analysis Part IB Numerical Analysis Definitions Based on lectures by G. Moore Notes taken by Dexter Chua Lent 206 These notes are not endorsed by the lecturers, and I have modified them (often significantly) after

More information

Numerical Methods for Differential Equations

Numerical Methods for Differential Equations Numerical Methods for Differential Equations Chapter 2: Runge Kutta and Multistep Methods Gustaf Söderlind Numerical Analysis, Lund University Contents V4.16 1. Runge Kutta methods 2. Embedded RK methods

More information

If you need more room, use the backs of the pages and indicate that you have done so.

If you need more room, use the backs of the pages and indicate that you have done so. Math 125 Final Exam Winter 2018 Your Name Your Signature Student ID # Quiz Section Professor s Name TA s Name Turn off and stow away all cell phones, watches, pagers, music players, and other similar devices.

More information

Spring 2017 Exam 2 4/6/17 Time Limit: 120 Minutes. Instructor

Spring 2017 Exam 2 4/6/17 Time Limit: 120 Minutes. Instructor Phys 467/667 Spring 2017 Exam 2 4/6/17 Time Limit: 120 Minutes Name (Print): Instructor This exam contains 6 pages (including this cover page) and 5 problems. Check to see if any pages are missing. Enter

More information

Math 290, Midterm II-key

Math 290, Midterm II-key Math 290, Midterm II-key Name (Print): (first) Signature: (last) The following rules apply: There are a total of 20 points on this 50 minutes exam. This contains 7 pages (including this cover page) and

More information

Solving Ordinary Differential equations

Solving Ordinary Differential equations Solving Ordinary Differential equations Taylor methods can be used to build explicit methods with higher order of convergence than Euler s method. The main difficult of these methods is the computation

More information

Numerical Methods for Differential Equations

Numerical Methods for Differential Equations Numerical Methods for Differential Equations Chapter 2: Runge Kutta and Linear Multistep methods Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the

More information

Modeling & Simulation 2018 Lecture 12. Simulations

Modeling & Simulation 2018 Lecture 12. Simulations Modeling & Simulation 2018 Lecture 12. Simulations Claudio Altafini Automatic Control, ISY Linköping University, Sweden Summary of lecture 7-11 1 / 32 Models of complex systems physical interconnections,

More information

Math 660 Lecture 4: FDM for evolutionary equations: ODE solvers

Math 660 Lecture 4: FDM for evolutionary equations: ODE solvers Math 660 Lecture 4: FDM for evolutionary equations: ODE solvers Consider the ODE u (t) = f(t, u(t)), u(0) = u 0, where u could be a vector valued function. Any ODE can be reduced to a first order system,

More information

Initial value problems for ordinary differential equations

Initial value problems for ordinary differential equations AMSC/CMSC 660 Scientific Computing I Fall 2008 UNIT 5: Numerical Solution of Ordinary Differential Equations Part 1 Dianne P. O Leary c 2008 The Plan Initial value problems (ivps) for ordinary differential

More information

Mathematics for chemical engineers. Numerical solution of ordinary differential equations

Mathematics for chemical engineers. Numerical solution of ordinary differential equations Mathematics for chemical engineers Drahoslava Janovská Numerical solution of ordinary differential equations Initial value problem Winter Semester 2015-2016 Outline 1 Introduction 2 One step methods Euler

More information

Final exam (practice) UCLA: Math 31B, Spring 2017

Final exam (practice) UCLA: Math 31B, Spring 2017 Instructor: Noah White Date: Final exam (practice) UCLA: Math 3B, Spring 207 This exam has 8 questions, for a total of 80 points. Please print your working and answers neatly. Write your solutions in the

More information

- - - - - - - - - - - - - - - - - - DISCLAIMER - - - - - - - - - - - - - - - - - - General Information: This is a midterm from a previous semester. This means: This midterm contains problems that are of

More information

ECE580 Exam 1 October 4, Please do not write on the back of the exam pages. Extra paper is available from the instructor.

ECE580 Exam 1 October 4, Please do not write on the back of the exam pages. Extra paper is available from the instructor. ECE580 Exam 1 October 4, 2012 1 Name: Solution Score: /100 You must show ALL of your work for full credit. This exam is closed-book. Calculators may NOT be used. Please leave fractions as fractions, etc.

More information

- - - - - - - - - - - - - - - - - - DISCLAIMER - - - - - - - - - - - - - - - - - - General Information: This midterm is a sample midterm. This means: The sample midterm contains problems that are of similar,

More information

Math Midterm 2

Math Midterm 2 Math 2374 - Midterm 2 Name: Section: Student ID: Signature: ˆ This exam consists of 6 pages (including this one) and 5 questions. ˆ Do not give numerical approximations to quantities such as sin 5, π,

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Midterm 3c 4/11/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 10 pages (including this cover page) and 10 problems. Check to see if

More information

Spring 2017 Exam 2 NAME: PIN:

Spring 2017 Exam 2 NAME: PIN: MARK BOX problem points 0 10 HAND IN PART 1 10 2 10 3-10 40=8x5 11 10 12 10 NAME: PIN: 13 10 % 100 INSTRUCTIONS This exam comes in two parts. (1) HAND-IN PART. Hand-in only this part. (2) NOT TO HAND-IN

More information

Multistage Methods I: Runge-Kutta Methods

Multistage Methods I: Runge-Kutta Methods Multistage Methods I: Runge-Kutta Methods Varun Shankar January, 0 Introduction Previously, we saw that explicit multistep methods (AB methods) have shrinking stability regions as their orders are increased.

More information

University of Connecticut Department of Mathematics

University of Connecticut Department of Mathematics University of Connecticut Department of Mathematics Math 1131 Sample Exam 1 Fall 2013 Name: This sample exam is just a guide to prepare for the actual exam. Questions on the actual exam may or may not

More information

This exam contains 9 pages and 4 problems. Check for missing pages. Put your initials on the top of every page in case they become separated.

This exam contains 9 pages and 4 problems. Check for missing pages. Put your initials on the top of every page in case they become separated. CHME420 Spring 2015 Final 6/19/2015 7:30 AM Time Limit: 125 Minutes Name (Print): This exam contains 9 pages and 4 problems. Check for missing pages. Put your initials on the top of every page in case

More information

Fall 2018 Exam 1 NAME:

Fall 2018 Exam 1 NAME: MARK BOX problem points 0 20 HAND IN PART -8 40=8x5 9 0 NAME: 0 0 PIN: 0 2 0 % 00 INSTRUCTIONS This exam comes in two parts. () HAND IN PART. Hand in only this part. (2) STATEMENT OF MULTIPLE CHOICE PROBLEMS.

More information

Scientific Computing with Case Studies SIAM Press, Lecture Notes for Unit V Solution of

Scientific Computing with Case Studies SIAM Press, Lecture Notes for Unit V Solution of Scientific Computing with Case Studies SIAM Press, 2009 http://www.cs.umd.edu/users/oleary/sccswebpage Lecture Notes for Unit V Solution of Differential Equations Part 1 Dianne P. O Leary c 2008 1 The

More information

Exam in TMA4215 December 7th 2012

Exam in TMA4215 December 7th 2012 Norwegian University of Science and Technology Department of Mathematical Sciences Page of 9 Contact during the exam: Elena Celledoni, tlf. 7359354, cell phone 48238584 Exam in TMA425 December 7th 22 Allowed

More information

AN OVERVIEW. Numerical Methods for ODE Initial Value Problems. 1. One-step methods (Taylor series, Runge-Kutta)

AN OVERVIEW. Numerical Methods for ODE Initial Value Problems. 1. One-step methods (Taylor series, Runge-Kutta) AN OVERVIEW Numerical Methods for ODE Initial Value Problems 1. One-step methods (Taylor series, Runge-Kutta) 2. Multistep methods (Predictor-Corrector, Adams methods) Both of these types of methods are

More information

NUMERICAL ANALYSIS 2 - FINAL EXAM Summer Term 2006 Matrikelnummer:

NUMERICAL ANALYSIS 2 - FINAL EXAM Summer Term 2006 Matrikelnummer: Prof. Dr. O. Junge, T. März Scientific Computing - M3 Center for Mathematical Sciences Munich University of Technology Name: NUMERICAL ANALYSIS 2 - FINAL EXAM Summer Term 2006 Matrikelnummer: I agree to

More information

Fall 2015 Exam 3 PIN: 17

Fall 2015 Exam 3 PIN: 17 MARK BOX problem points 0 10 1 10 2-6 50 7 15 8a/8b 15 NAME: PIN: 17 KEY-e-poo % 100 INSTRUCTIONS On Problem 0, fill in the blanks and boxes. As you know, if you do not make at least half of the points

More information

Page: Total Points: Score:

Page: Total Points: Score: Math 1130 Spring 2019 Sample Final B 4/29/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 14 pages (including this cover page) and 12 problems. Check to see if any

More information

STUDENT NAME: STUDENT SIGNATURE: STUDENT ID NUMBER: SECTION NUMBER AND RECITATION INSTRUCTOR:

STUDENT NAME: STUDENT SIGNATURE: STUDENT ID NUMBER: SECTION NUMBER AND RECITATION INSTRUCTOR: MA66 EXAM II SPRING 09 MARCH 5, 09 TEST NUMBER INSTRUCTIONS:. Do not open the exam booklet until you are instructed to do so.. Before you open the booklet fill in the information below and use a # pencil

More information

Last/Family Name First/Given Name Seat # Exam # Failure to follow the instructions below will constitute a breach of the Honor Code:

Last/Family Name First/Given Name Seat # Exam # Failure to follow the instructions below will constitute a breach of the Honor Code: Math 21, Winter 2018 Schaeffer/Solis Midterm Exam 2 (February 28th, 2018) Last/Family Name First/Given Name Seat # Exam # Failure to follow the instructions below will constitute a breach of the Honor

More information

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you.

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you. Math 54 Fall 2017 Practice Exam 1 Exam date: 9/26/17 Time Limit: 80 Minutes Name: Student ID: GSI or Section: This exam contains 6 pages (including this cover page) and 7 problems. Problems are printed

More information

Module 4: Numerical Methods for ODE. Michael Bader. Winter 2007/2008

Module 4: Numerical Methods for ODE. Michael Bader. Winter 2007/2008 Outlines Module 4: for ODE Part I: Basic Part II: Advanced Lehrstuhl Informatik V Winter 2007/2008 Part I: Basic 1 Direction Fields 2 Euler s Method Outlines Part I: Basic Part II: Advanced 3 Discretized

More information

Ph 22.1 Return of the ODEs: higher-order methods

Ph 22.1 Return of the ODEs: higher-order methods Ph 22.1 Return of the ODEs: higher-order methods -v20130111- Introduction This week we are going to build on the experience that you gathered in the Ph20, and program more advanced (and accurate!) solvers

More information

Introduction to standard and non-standard Numerical Methods

Introduction to standard and non-standard Numerical Methods Introduction to standard and non-standard Numerical Methods Dr. Mountaga LAM AMS : African Mathematic School 2018 May 23, 2018 One-step methods Runge-Kutta Methods Nonstandard Finite Difference Scheme

More information

Math 162: Calculus IIA

Math 162: Calculus IIA Math 162: Calculus IIA Final Exam December 15, 2015 NAME (please print legibly): Your University ID Number: Your University email Indicate your instructor with a check in the box: JJ Lee Doug Ravenel Timur

More information

Higher Order Taylor Methods

Higher Order Taylor Methods Higher Order Taylor Methods Marcelo Julio Alvisio & Lisa Marie Danz May 6, 2007 Introduction Differential equations are one of the building blocks in science or engineering. Scientists aim to obtain numerical

More information

Algebra 2 CP Semester 1 PRACTICE Exam January 2015

Algebra 2 CP Semester 1 PRACTICE Exam January 2015 Algebra 2 CP Semester 1 PRACTICE Exam January 2015 NAME DATE HR You may use a calculator. Please show all work directly on this test. You may write on the test. GOOD LUCK! THIS IS JUST PRACTICE GIVE YOURSELF

More information

Math 116 Practice for Exam 3

Math 116 Practice for Exam 3 Math 116 Practice for Exam 3 Generated April 15, 2012 Name: Instructor: Section Number: 1. This exam has 13 pages including this cover. There are 10 questions. Note that the problems are not of equal difficulty,

More information

Jim Lambers MAT 772 Fall Semester Lecture 21 Notes

Jim Lambers MAT 772 Fall Semester Lecture 21 Notes Jim Lambers MAT 772 Fall Semester 21-11 Lecture 21 Notes These notes correspond to Sections 12.6, 12.7 and 12.8 in the text. Multistep Methods All of the numerical methods that we have developed for solving

More information

2 Numerical Methods for Initial Value Problems

2 Numerical Methods for Initial Value Problems Numerical Analysis of Differential Equations 44 2 Numerical Methods for Initial Value Problems Contents 2.1 Some Simple Methods 2.2 One-Step Methods Definition and Properties 2.3 Runge-Kutta-Methods 2.4

More information

No books, notes, any calculator, or electronic devices are allowed on this exam. Show all of your steps in each answer to receive a full credit.

No books, notes, any calculator, or electronic devices are allowed on this exam. Show all of your steps in each answer to receive a full credit. MTH 309-001 Fall 2016 Exam 1 10/05/16 Name (Print): PID: READ CAREFULLY THE FOLLOWING INSTRUCTION Do not open your exam until told to do so. This exam contains 7 pages (including this cover page) and 7

More information

Math 116 Second Midterm March 19, 2012

Math 116 Second Midterm March 19, 2012 Math 6 Second Midterm March 9, 202 Name: Instructor: Section:. Do not open this exam until you are told to do so. 2. This exam has pages including this cover. There are 9 problems. Note that the problems

More information

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you.

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you. Math 54 Fall 2017 Practice Final Exam Exam date: 12/14/17 Time Limit: 170 Minutes Name: Student ID: GSI or Section: This exam contains 9 pages (including this cover page) and 10 problems. Problems are

More information

Do not turn over until you are told to do so by the Invigilator.

Do not turn over until you are told to do so by the Invigilator. UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 216 17 INTRODUCTION TO NUMERICAL ANALYSIS MTHE712B Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other questions.

More information

MA162 EXAM III SPRING 2017 APRIL 11, 2017 TEST NUMBER 01 INSTRUCTIONS:

MA162 EXAM III SPRING 2017 APRIL 11, 2017 TEST NUMBER 01 INSTRUCTIONS: MA62 EXAM III SPRING 207 APRIL, 207 TEST NUMBER 0 INSTRUCTIONS:. Do not open the exam booklet until you are instructed to do so. 2. Before you open the booklet fill in the information below and use a #

More information

- - - - - - - - - - - - - - - - - - DISCLAIMER - - - - - - - - - - - - - - - - - - General Information: This midterm is a sample midterm. This means: The sample midterm contains problems that are of similar,

More information

Math 110 (Fall 2018) Midterm II (Monday October 29, 12:10-1:00)

Math 110 (Fall 2018) Midterm II (Monday October 29, 12:10-1:00) Math 110 (Fall 2018) Midterm II (Monday October 29, 12:10-1:00) Name: SID: Please write clearly and legibly. Justify your answers. Partial credits may be given to Problems 2, 3, 4, and 5. The last sheet

More information

University of Toronto Mississauga

University of Toronto Mississauga Surname: First Name: Student Number: Tutorial: University of Toronto Mississauga Mathematical and Computational Sciences MAT33Y5Y Term Test 2 Duration - 0 minutes No Aids Permitted This exam contains pages

More information

Math 227 Sample Final Examination 1. Name (print) Name (sign) Bing ID number

Math 227 Sample Final Examination 1. Name (print) Name (sign) Bing ID number Math 227 Sample Final Examination 1 Name (print) Name (sign) Bing ID number (Your instructor may check your ID during or after the test) No books, notes, or electronic devices (calculators, cell phones,

More information

Math 125 Final Examination Winter 2015

Math 125 Final Examination Winter 2015 Math 125 Final Examination Winter 2015 Your Name Your Signature Student ID # Quiz Section Professor s Name TA s Name This exam is closed book. You may use one 8.5 11 sheet of handwritten notes (both sides

More information

Introduction to the Numerical Solution of IVP for ODE

Introduction to the Numerical Solution of IVP for ODE Introduction to the Numerical Solution of IVP for ODE 45 Introduction to the Numerical Solution of IVP for ODE Consider the IVP: DE x = f(t, x), IC x(a) = x a. For simplicity, we will assume here that

More information

Math 104 Section 2 Midterm 2 November 1, 2013

Math 104 Section 2 Midterm 2 November 1, 2013 Math 104 Section 2 Midterm 2 November 1, 2013 Name: Complete the following problems. In order to receive full credit, please provide rigorous proofs and show all of your work and justify your answers.

More information