31 Jul 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 4 – Systems of Nonlinear Equations 31 July 2007 8.00 am – 9.00 am.

Slides:



Advertisements
Similar presentations
Part 2 Chapter 6 Roots: Open Methods
Advertisements

Lecture 5 Newton-Raphson Method
Numerical Solution of Nonlinear Equations
CSE 330: Numerical Methods
ROOTS OF EQUATIONS Student Notes ENGR 351 Numerical Methods for Engineers Southern Illinois University Carbondale College of Engineering Dr. L.R. Chevalier.
Chapter 2: Second-Order Differential Equations
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. by Lale Yurttas, Texas A&M University Chapter 61.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 7 Roots of Equations Bracketing Methods.
Chapter 4 Roots of Equations
14 Aug 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 6 – Interpolation & Curve Fitting 14 August am – 9.00 am.
24 Jul 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 3 – Systems of Linear Equations 24 July am – 9.00 am.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 6 Roots of Equations Bracketing Methods.
Open Methods (Part 1) Fixed Point Iteration & Newton-Raphson Methods
18 September 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 11 – Ordinary Differential Equations 18 September am – 9.00 am.
11 September 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 10 – Ordinary Differential Equations 11 September am – 9.00 am.
02 October 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 13 – Partial Differential Equations 02 October am – 9.00 am.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 9 Roots of Equations Open Methods.
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Martin Mendez UASLP Chapter 61 Unit II.
25 September 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 12 – Partial Differential Equations 25 September am – 9.00 am.
07 Aug 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 5 – Systems of Nonlinear Equations 07 August am – 9.00 am.
Systems of Non-Linear Equations
08 August 2007 KKKQ 3013 PENGIRAAN BERANGKA Assignment #2 – Systems of Nonlinear Equations 08 August pm – pm.
17 Jul 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 2 – Systems of Linear Equations 17 July am – 9.00 am.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 8 Roots of Equations Open Methods.
28 Aug 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 8 – Numerical Derivatives & Integrals 28 August am – 9.00 am.
21 Aug 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 7 – Interpolation & Curve Fitting 21 August am – 9.00 am.
Fin500J: Mathematical Foundations in Finance Topic 3: Numerical Methods for Solving Non-linear Equations Philip H. Dybvig Reference: Numerical Methods.
Many quadratic equations can not be solved by factoring. Other techniques are required to solve them. 7.1 – Completing the Square x 2 = 20 5x =
Fin500J Topic 6Fall 2010 Olin Business School 1 Fin500J: Mathematical Foundations in Finance Topic 6: Ordinary Differential Equations Philip H. Dybvig.
Lecture Notes Dr. Rakhmad Arief Siregar Universiti Malaysia Perlis
Lecture 8 Numerical Analysis. Solution of Non-Linear Equations Chapter 2.
Lecture 3 Numerical Analysis. Solution of Non-Linear Equations Chapter 2.
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 ~ Roots of Equations ~ Open Methods Chapter 6 Credit:
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. by Lale Yurttas, Texas A&M University Chapter 71.
Chapter 3 Roots of Equations. Objectives Understanding what roots problems are and where they occur in engineering and science Knowing how to determine.
Numerical Methods for Engineering MECN 3500
Numerical Methods.
CHAPTER 3 NUMERICAL METHODS
Numerical Methods Root Finding 4. Fixed-Point Iteration---- Successive Approximation Many problems also take on the specialized form: g(x)=x, where we.
ROOTS OF EQUATIONS. Bracketing Methods The Bisection Method The False-Position Method Open Methods Simple Fixed-Point Iteration The Secant Method.
Lecture 5 - Single Variable Problems CVEN 302 June 12, 2002.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Chapter 7 Roots of Polynomials.
Solving Non-Linear Equations (Root Finding)
Solving equations with polynomials – part 2. n² -7n -30 = 0 ( )( )n n 1 · 30 2 · 15 3 · 10 5 · n + 3 = 0 n – 10 = n = -3n = 10 =
Solving Nonlinear Systems Section 3.5 beginning on page 132.
4 Numerical Methods Root Finding.
2.1 The Derivative and The Tangent Line Problem Slope of a Tangent Line.
Solving Quadratic-Linear Systems
Teacher Orientation Linear Equations in two Variables Introduction Conditions with two lines in a plane Methods to solve LEs.
Newton’s Method Problem: need to solve an equation of the form f(x)=0. Graphically, the solutions correspond to the points of intersection of the.
MA2213 Lecture 9 Nonlinear Systems. Midterm Test Results.
Project on Newton’s Iteration Method Presented by Dol Nath Khanal Project Advisor- Professor Dexuan Xie 05/11/2015.
Ordinary Differential Equations (ODEs). Objectives of Topic  Solve Ordinary Differential Equations (ODEs).  Appreciate the importance of numerical methods.
CSE 330: Numerical Methods. What is true error? True error is the difference between the true value (also called the exact value) and the approximate.
CSE 330: Numerical Methods. Introduction The bisection and false position method require bracketing of the root by two guesses Such methods are called.
CHAPTER 3 NUMERICAL METHODS
DIFFERENTIAL EQUATIONS
Solving Nonlinear Systems
Solution of Nonlinear Equations
Other Types of Equations
Solving Nonlinear Equation
Differentiation.
SOLUTION OF NONLINEAR EQUATIONS
SIMULTANEOUS EQUATIONS 1
ROOTS OF EQUATIONS.
Solving Square Root Equations
3.5 Solving Nonlinear Systems
Multivariable Linear Systems
Linear and Nonlinear Systems of Equations
Linear and Nonlinear Systems of Equations
Presentation transcript:

31 Jul 2007 KKKQ 3013 PENGIRAAN BERANGKA Week 4 – Systems of Nonlinear Equations 31 July am – 9.00 am

31 Jul 2007 Week 4 Page 2 Topics Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations

31 Jul 2007 Week 4 Page 3 Open Method #1 : Newton-Raphson Therefore, x2x2 Repeat.. Derivative defines gradient

31 Jul 2007 Week 4 Page 4 Open Method #1 : Newton-Raphson In general, Iterate/repeat until | x i+1 | – |x i | <  (an appropriate error requirement) Need only 1 initial guess (i.e x 0 ) ! ………..(1)

31 Jul 2007 Week 4 Page 5 Open Method #2 : Secant Method Similar concept per Newton-Raphson, but gradient is estimated from its basic definition Therefore, substituting into equation (1) previously to Need 2 initial guess or points !!

31 Jul 2007 Week 4 Page 6 Tutorial Example 1 Determine the intersection of the following two equations: g(s) = s 6 h(s) = s + 1 using the secant method assumming initial values 1.0 & 1.05.

31 Jul 2007 Week 4 Page 7 Tutorial Example 1 Intersection of two equations means at a particular s, both g(s) and h(s) have the same value i.e. g(s) = h(s) s 6 = s + 1 ………..(1) Hence, need to find s which satisfies equation (1). Satisfying equation (1) is similar to solving : s 6 – s – 1 = 0 f(s) Therefore, need to find root of non-linear equation f(s).

31 Jul 2007 Week 4 Page 8 Tutorial Example 1 If we plot f(s) : f(s) s ? f(s) = s 6 -s-1

31 Jul 2007 Week 4 Page 9 Tutorial Example 1