MECN 3500 Inter - Bayamon Lecture 8 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo

Slides:



Advertisements
Similar presentations
E. T. S. I. Caminos, Canales y Puertos1 Engineering Computation Lecture 6.
Advertisements

4/22/ LU Decomposition Electrical Engineering Majors Authors: Autar Kaw Transforming.
4/26/ LU Decomposition Civil Engineering Majors Authors: Autar Kaw Transforming.
LU Factorization LU-factorization Matrix factorization Forward substitution Back substitution.
Major: All Engineering Majors Authors: Autar Kaw
SOLVING SYSTEMS OF LINEAR EQUATIONS. Overview A matrix consists of a rectangular array of elements represented by a single symbol (example: [A]). An individual.
Mechanisms Design MECN 4110
Mechanical Measurement and Instrumentation MECN 4600
Linear Algebraic Equations
Part 3 Chapter 10 LU Factorization PowerPoints organized by Dr. Michael R. Gustafson II, Duke University All images copyright © The McGraw-Hill Companies,
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 17 Solution of Systems of Equations.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Chapter 10 LU Decomposition and Matrix.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 20 Solution of Linear System of Equations - Iterative Methods.
CVEN Exam 1 Review. Matlab Basic commands and syntax Basic commands and syntax Creation of functions and programs Creation of functions and programs.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 14 Elimination Methods.
Dr. Jie Zou PHY Chapter 3 Solution of Simultaneous Linear Algebraic Equations: Lecture (II) Note: Besides the main textbook, also see Ref: Applied.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 15 Solution of Systems of Equations.
ECIV 301 Programming & Graphics Numerical Methods for Engineers REVIEW II.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Chapter 10 LU Decomposition and Matrix.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 18 LU Decomposition and Matrix Inversion.
Chapter 8 Objectives Understanding matrix notation.
LU Decomposition 1. Introduction Another way of solving a system of equations is by using a factorization technique for matrices called LU decomposition.
MECN 3500 Inter - Bayamon Lecture Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
Engineering Analysis ENG 3420 Fall 2009
Scientific Computing Linear Systems – LU Factorization.
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. by Lale Yurttas, Texas A&M University Part 31 Linear.
Lecture 3 Vector Mechanics for Engineers: Dynamics MECN 3010 Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus.
Mechanical Measurement and Instrumentation MECN 4600
MECN 3500 Inter - Bayamon Lecture 7 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
MECN 4600 Inter - Bayamon Lecture Mechanical Measurement and Instrumentation MECN 4600 Professor: Dr. Omar E. Meza Castillo
MECN 3500 Inter - Bayamon Lecture 9 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. by Lale Yurttas, Texas A&M University Chapter 101.
Mechanical Measurement and Instrumentation MECN 4600
MECN 3500 Lecture 4 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
MECN 3500 Inter - Bayamon Lecture 3 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
Lecture 2 Numerical Methods for Engineering MECN 3500 Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus Dr.
Lecture 8 Matrix Inverse and LU Decomposition
Lecture 6 Vector Mechanics for Engineers: Dynamics MECN 3010 Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus.
MECN 4600 Inter - Bayamon Lecture 9 Mechanical Measurement and Instrumentation MECN 4600 Professor: Dr. Omar E. Meza Castillo
Numerical Methods for Engineering MECN 3500
Lecture 5 Vector Mechanics for Engineers: Dynamics MECN 3010 Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Introduction Course Outline.
MECN 3500 Inter - Bayamon Lecture Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
Lecture 4 Engineering Economics ENGR 3300 Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus Dr. Omar E. Meza.
MECN 3500 Inter - Bayamon Lecture 9 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
MECN 3500 Inter - Bayamon Lecture 6 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
Lecture 8 Vector Mechanics for Engineers: Dynamics MECN 3010 Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus.
1/18/ LU Decomposition Industrial Engineering Majors Authors: Autar Kaw Transforming.
Mechanisms Design MECN 4110
Lecture 2 Vector Mechanics for Engineers: Dynamics MECN 3010 Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus.
3/1/ LU Decomposition Computer Engineering Majors Authors: Autar Kaw Transforming.
ENGR 3340: Fundamentals of Statics and Dynamics Fundamentals of Statics and Dynamics - ENGR 3340 Professor: Dr. Omar E. Meza Castillo
Mechanics of Materials Inter - Bayamon Review 1 FE Review Mechanics of Materials Professor: Dr. Omar E. Meza Castillo
Autar Kaw Benjamin Rigsby Transforming Numerical Methods Education for STEM Undergraduates.
Numerical Methods.  LU Decomposition is another method to solve a set of simultaneous linear equations  For most non-singular matrix [A] that one could.
LU Decomposition ● In Gauss elimination; Forward elimination Backward substitution Major computational effort Low computational effort can be used for.
CHAPTER 3 NUMERICAL METHODS.
Chapter 10 and Matrix Inversion LU Decomposition
Chapter 10.
MATH My research interests lie primarily in the area of numerical analysis and scientific computing, …
Use Inverse Matrices to Solve Linear Systems
Chemical Engineering Majors Authors: Autar Kaw
Metode Eliminasi Pertemuan – 4, 5, 6 Mata Kuliah : Analisis Numerik
Matrix Solutions to Linear Systems
Numerical Computation and Optimization
Part 3 Chapter 10 LU Factorization
ARRAY DIVISION Identity matrix Islamic University of Gaza
Major: All Engineering Majors Authors: Autar Kaw
LU Decomposition.
Lecture 8 Matrix Inverse and LU Decomposition
Presentation transcript:

MECN 3500 Inter - Bayamon Lecture 8 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo Department of Mechanical Engineering Inter American University of Puerto Rico Bayamon Campus

Lecture 8 MECN 3500 Inter - Bayamon 2 Tentative Lectures Schedule TopicLecture Mathematical Modeling and Engineering Problem Solving 1 Introduction to Matlab 2 Numerical Error 3 Root Finding System of Linear Equations 7 Least Square Curve Fitting Polynomial Interpolation Numerical Integration Ordinary Differential Equations

Lecture 8 MECN 3500 Inter - Bayamon Elimination Method LU Decomposition and Matrix Inversion 3

Lecture 8 MECN 3500 Inter - Bayamon  To solve linear algebraic equations using the technique LU Decomposition in order to provides an efficient means to compute the matrix inverse. 4 Course Objectives

Lecture 8 MECN 3500 Inter - Bayamon Provides an efficient way to compute matrix inverse by separating the time consuming elimination of the Matrix [A] from manipulations of the right-hand side {B}. Provides an efficient way to compute matrix inverse by separating the time consuming elimination of the Matrix [A] from manipulations of the right-hand side {B}. Gauss elimination, in which the forward elimination comprises the bulk of the computational effort, can be implemented as an LU decomposition Gauss elimination, in which the forward elimination comprises the bulk of the computational effort, can be implemented as an LU decomposition 5 Introduction

Lecture 8 MECN 3500 Inter - Bayamon 6 LU Decomposition If L- lower triangular matrix U- upper triangular matrix Then, [A]{X} = {B} or [A]{X} - {B} = 0 [L]{[U]{X}-{D}} = [A]{X} - {B}

Lecture 8 MECN 3500 Inter - Bayamon LU Decomposition [L][U]=[A] and [L]{D}={B} A two-step strategy 1.-LU Decomposition step: [A] can be decomposed into two matrices [L] and [U] such that [L][U]=[A] 2.-Substitution step: Similar to first phase of Gauss elimination, consider [U]{X}={D}[L]{D}={B} [L]{D}={B} is used to generate an intermediate vector {D} by forward substitution Then, [U]{X}={D} is used to get {X} by back substitution.

Lecture 8 MECN 3500 Inter - Bayamon LU Decomposition

Lecture 8 MECN 3500 Inter - Bayamon LU Decomposition Requires the same total FLOPS as for Gauss elimination. Requires the same total FLOPS as for Gauss elimination. Saves computing time by separating time- consuming elimination step from the manipulations of the right hand side. Saves computing time by separating time- consuming elimination step from the manipulations of the right hand side. Provides efficient means to compute the matrix inverse Provides efficient means to compute the matrix inverse

Lecture 8 MECN 3500 Inter - Bayamon NGaussElimwLUDecomp.m

Lecture 8 MECN 3500 Inter - Bayamon >>Enter Matrix A > [ ; ; ] A = >>Enter Solution Vector B > [ ] B = S = Bc = >>Enter Matrix A > [ ; ; ] A = >>Enter Solution Vector B > [ ] B = S = Bc = Example 10.2

Lecture 8 MECN 3500 Inter - Bayamon L = U = Ac = Lc = Uc = L = U = Ac = Lc = Uc =

Lecture 8 MECN 3500 Inter - Bayamon Homework6  Omar E. Meza Castillo Ph.D. 13