Matematika Pertemuan 20 Matakuliah: D0024/Matematika Industri II Tahun : 2008.

Slides:



Advertisements
Similar presentations
4.3 Matrix Approach to Solving Linear Systems 1 Linear systems were solved using substitution and elimination in the two previous section. This section.
Advertisements

Matematika Pertemuan 13 Matakuliah: D0024/Matematika Industri II Tahun : 2008.
Lecture 7 Intersection of Hyperplanes and Matrix Inverse Shang-Hua Teng.
1 Copyright © 2015, 2011, 2007 Pearson Education, Inc. Chapter 4-1 Systems of Equations and Inequalities Chapter 4.
Lecture 9: Introduction to Matrix Inversion Gaussian Elimination Sections 2.4, 2.5, 2.6 Sections 2.2.3, 2.3.
Chapter 2 Matrices Finite Mathematics & Its Applications, 11/e by Goldstein/Schneider/Siegel Copyright © 2014 Pearson Education, Inc.
Matrices & Systems of Linear Equations
Solving Systems of Linear Equations Part Pivot a Matrix 2. Gaussian Elimination Method 3. Infinitely Many Solutions 4. Inconsistent System 5. Geometric.
Goldstein/Schnieder/Lay: Finite Math & Its Applications, 9e 1 of 86 Chapter 2 Matrices.
Matrices. Special Matrices Matrix Addition and Subtraction Example.
Linear Systems and Matrices
10.1 Gaussian Elimination Method
Finite Mathematics & Its Applications, 10/e by Goldstein/Schneider/SiegelCopyright © 2010 Pearson Education, Inc. 1 of 86 Chapter 2 Matrices.
Lesson 8.1, page 782 Matrix Solutions to Linear Systems
Chapter 1 Section 1.2 Echelon Form and Gauss-Jordan Elimination.
Section 8.1 – Systems of Linear Equations
HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2011 Hawkes Learning Systems. All rights reserved. Hawkes Learning Systems College Algebra.
Table of Contents Solving Systems of Linear Equations - Gaussian Elimination The method of solving a linear system of equations by Gaussian Elimination.
Introduction Information in science, business, and mathematics is often organized into rows and columns to form rectangular arrays called “matrices” (plural.
Systems of linear equations. Simple system Solution.
Linear Algebra – Linear Equations
1.2 Gaussian Elimination.
Multivariate Linear Systems and Row Operations.
SYSTEMS OF LINEAR EQUATIONS
Linear Algebra (Aljabar Linier) Week 2 Universitas Multimedia Nusantara Serpong, Tangerang Dr. Ananda Kusuma Ph: ,
Reduced Row Echelon Form
Matrices King Saud University. If m and n are positive integers, then an m  n matrix is a rectangular array in which each entry a ij of the matrix is.
Copyright © Cengage Learning. All rights reserved. 7.4 Matrices and Systems of Equations.
Copyright © 2011 Pearson, Inc. 7.3 Multivariate Linear Systems and Row Operations.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Sec 3.1 Introduction to Linear System Sec 3.2 Matrices and Gaussian Elemination The graph is a line in xy-plane The graph is a line in xyz-plane.
Math 201 for Management Students
Matrix Algebra. Quick Review Quick Review Solutions.
Euclidean m-Space & Linear Equations Row Reduction of Linear Systems.
Three variables Systems of Equations and Inequalities.
How To Find The Reduced Row Echelon Form. Reduced Row Echelon Form A matrix is said to be in reduced row echelon form provided it satisfies the following.
MATH 250 Linear Equations and Matrices
Row rows A matrix is a rectangular array of numbers. We subscript entries to tell their location in the array Matrices are identified by their size.
8.1 Matrices and Systems of Equations. Let’s do another one: we’ll keep this one Now we’ll use the 2 equations we have with y and z to eliminate the y’s.
Sec 3.2 Matrices and Gaussian Elemination Coefficient Matrix 3 x 3 Coefficient Matrix 3 x 3 Augmented Coefficient Matrix 3 x 4 Augmented Coefficient Matrix.
Matrix Solutions to Linear Systems. 1. Write the augmented matrix for each system of linear equations.
Using Matrices A matrix is a rectangular array that can help us to streamline the solving of a system of equations The order of this matrix is 2 × 3 If.
Copyright © 2011 Pearson Education, Inc. Solving Linear Systems Using Matrices Section 6.1 Matrices and Determinants.
Matrices and Systems of Equations
How To Find The Reduced Row Echelon Form. Reduced Row Echelon Form A matrix is said to be in reduced row echelon form provided it satisfies the following.
Section 7-3 Solving 3 x 3 systems of equations. Solving 3 x 3 Systems  substitution (triangular form)  Gaussian elimination  using an augmented matrix.
Linear Equation System Pertemuan 4 Matakuliah: S0262-Analisis Numerik Tahun: 2010.
Solve a system of linear equations By reducing a matrix Pamela Leutwyler.
Matrices and Systems of Equations
Meeting 19 System of Linear Equations. Linear Equations A solution of a linear equation in n variables is a sequence of n real numbers s 1, s 2,..., s.
Systems of Equations and Inequalities Ryan Morris Josh Broughton.
7.3 & 7.4 – MATRICES AND SYSTEMS OF EQUATIONS. I N THIS SECTION, YOU WILL LEARN TO  Write a matrix and identify its order  Perform elementary row operations.
Section 5.3 MatricesAnd Systems of Equations. Systems of Equations in Two Variables.
Multivariable linear systems.  The following system is said to be in row-echelon form, which means that it has a “stair-step” pattern with leading coefficients.
4: Sets of linear equations 4.1 Introduction In this course we will usually be dealing with n equations in n unknowns If we have just two unknowns x and.
Introduction Types of Matrices Operations
Gaussian Elimination Digital Lesson. Copyright © by Houghton Mifflin Company, Inc. All rights reserved. 2 Gaussian elimination with back-substitution.
College Algebra Chapter 6 Matrices and Determinants and Applications
Multivariable Linear Systems and Row Operations
Section 6.1 Systems of Linear Equations
Systems of linear equations
Gaussian Elimination and Gauss-Jordan Elimination
Gaussian Elimination and Gauss-Jordan Elimination
Solving Systems of Equations Using Matrices
Matematika Pertemuan 11 Matakuliah : D0024/Matematika Industri II
Chapter 8: Lesson 8.1 Matrices & Systems of Equations
Matrices and Systems of Equations
Elementary Row Operations Gaussian Elimination Method
Section 8.1 – Systems of Linear Equations
Matrices are identified by their size.
Presentation transcript:

Matematika Pertemuan 20 Matakuliah: D0024/Matematika Industri II Tahun : 2008

Bina Nusantara Sistem Persamaan Linier (SPL) A matrix that has undergone Gaussian elimination is said to be in row echelon form or, more properly, "reduced echelon form" or "row-reduced echelon form." Such a matrix has the following characteristics:Gaussian elimination 1. All zero rows are at the bottom of the matrix 2. The leading entry of each nonzero row after the first occurs to the right of the leading entry of the previous row. 3. The leading entry in any nonzero row is All entries in the column above and below a leading 1 are zero. Another common definition of echelon form only requires zeros below the leading ones, while the above definition also requires them above the leading ones. Echelon Form

Bina Nusantara Gaussian elimination is a method for solving matrix equations of the formmatrix equationsof the form To perform Gaussian elimination starting with the system of equations Gaussian Elimination

Bina Nusantara compose the "augmented matrix equation" (3) (3) Here, the column vector in the variables is carried along for labeling the matrix rows. Now, perform elementary row operations to put the augmented matrix into the upper triangular formcolumn vectorelementary row operationsupper triangular

Bina Nusantara Solve the equation of the th row for, then substitute back into the equation of the st row to obtain a solution for, etc., according to the formula For example, consider the matrix equationmatrix equation

Bina Nusantara In augmented form, this becomes (7) (7) Switching the first and third rows (without switching the elements in the right-hand column vector) gives (8) (8) Subtracting 9 times the first row from the third row gives

Bina Nusantara Subtracting 4 times the first row from the second row gives (10) (10) Finally, adding times the second row to the third row gives (11) (11) Restoring the transformed matrix equation gives (12) (12) which can be solved immediately to give, back- substituting to obtain (which actually follows trivially in this example), and then again back-substituting to find

Bina Nusantara Kerjakan latihan pada modul soal