Tier 2: Case Studies If you need narration for this, you’re in the wrong profession.

Slides:



Advertisements
Similar presentations
Tier 2: Case Studies. Table of Contents Chapter 1 Introduction Useful Computer Tools for Data Reconciliation Chapter 2 Case Study #1 Steady-State Nonlinear.
Advertisements

ELECTRONIC SPREADSHEATS ELECTRONIC SPREADSHEATS Chapter 14_Part2 Dr. Bahaa Al-Sheikh & Eng. Mohammed AlSumady Intoduction to Engineering BME152.
Comparing Exponential and Linear Functions Lesson 3.2.
Chapter 4 Systems of Linear Equations; Matrices Section 6 Matrix Equations and Systems of Linear Equations.
MF-852 Financial Econometrics
Matrix Commands in Excel Anthony Murphy Nuffield College
Part 3 Chapter 8 Linear Algebraic Equations and Matrices PowerPoints organized by Dr. Michael R. Gustafson II, Duke University All images copyright © The.
Linear Simultaneous Equations
Pam Perlich Urban Planning 5/6020
Matrix Mathematics in MATLAB and Excel
Lecture 7: Matrix-Vector Product; Matrix of a Linear Transformation; Matrix-Matrix Product Sections 2.1, 2.2.1,
Solving Simultaneous Equations by Matrix Inverse Problem 2.5 # 37 Presented by E. G. Gascon.
Copyright © Cengage Learning. All rights reserved. 7.6 The Inverse of a Square Matrix.
Non-Linear Simultaneous Equations
1 Chapter 3 Matrix Algebra with MATLAB Basic matrix definitions and operations were covered in Chapter 2. We will now consider how these operations are.
1 Chapter 2 Matrices Matrices provide an orderly way of arranging values or functions to enhance the analysis of systems in a systematic manner. Their.
Chapter 7 Matrix Mathematics Matrix Operations Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Table of Contents Matrices - Calculator Operations The graphing calculator can be used to do a variety of matrix calculations, as shown in the following.
Section 8.3 – Systems of Linear Equations - Determinants Using Determinants to Solve Systems of Equations A determinant is a value that is obtained from.
4-6 3x3 Matrices, Determinants, & Inverses
Computer Programming (TKK-2144) 13/14 Semester 1 Instructor: Rama Oktavian Office Hr.: M.13-15, W Th , F
Chapter 10 Review: Matrix Algebra
COMP 116: Introduction to Scientific Programming Lecture 7: Matrices and Linear Systems.
Finite Mathematics Dr. Saeid Moloudzadeh Using Matrices to Solve Systems of Equations 1 Contents Algebra Review Functions and Linear Models.
Presentation by: H. Sarper
The Theory of the Simplex Method
PHY 202 (Blum)1 Use’s Excel Array Formulas to Solve Simultaneous Equations.
Learner’s Guide to MATLAB® Chapter 2 : Working with Arrays.
Finite Mathematics Dr. Saeid Moloudzadeh Solving Polynomial Equations 1 Contents Algebra Review Functions and Linear Models Systems of.
CMPS 1371 Introduction to Computing for Engineers MATRICES.
Do Now: Evaluate: 3AB. Algebra II 3.7: Evaluate Determinants HW: p.207 (4-14 even) Test : Friday, 12/6.
Lecture 28: Mathematical Insight and Engineering.
EXAMPLE 3 Find the inverse of a 3 × 3 matrix Use a graphing calculator to find the inverse of A. Then use the calculator to verify your result. 2 1 – 2.
Getting Started with MATLAB 1. Fundamentals of MATLAB 2. Different Windows of MATLAB 1.
Section 10.3 and Section 9.3 Systems of Equations and Inverses of Matrices.
Working with Arrays in MATLAB
ES 240: Scientific and Engineering Computation. Chapter 8 Chapter 8: Linear Algebraic Equations and Matrices Uchechukwu Ofoegbu Temple University.
ME 142 Engineering Computation I Matrix Operations in Excel.
1 ECE 1304 Introduction to Electrical and Computer Engineering Section 1.7 Linear Algebra with MATLAB.
Finite Mathematics Dr. Saeid Moloudzadeh Sets and Set Operations 1 Contents Algebra Review Functions and Linear Models Systems of Linear.
ME 142 Engineering Computation I Matrix Operations in Excel.
Finite Mathematics Dr. Saeid Moloudzadeh Multiplying and Factoring Algebraic Expressions 1 Contents Algebra Review Functions and Linear.
MT411 Robotic Engineering Asian Institution of Technology (AIT) Chapter 1 Introduction to Matrix Narong Aphiratsakun, D.Eng.
1 Lecture 3 Post-Graduate Students Advanced Programming (Introduction to MATLAB) Code: ENG 505 Dr. Basheer M. Nasef Computers & Systems Dept.
Chapter 4 Section 5 and 6 Finding and Using Inverses Algebra 2 Notes February 26, 2009.
1 of 8 Algebra 1 Chapter 11 Section 3 Chapter 11 Sec 3 Radical Equations.
Finishing up Chapter 5. Will this code enter the if statement? G=[30,55,10] if G
Matrix Algebra Basics Chapter 3 Section 5. Algebra.
MTH108 Business Math I Lecture 20.
AGB 260: Agribusiness Data Literacy
Chapter 4 Systems of Linear Equations; Matrices
Linear Algebraic Equations and Matrices
Matrix Addition and Scalar Multiplication
Matrix Multiplication
Chapter 7 Matrix Mathematics
Review Problems Matrices
5 Systems of Linear Equations and Matrices
Linear Algebraic Equations and Matrices
Chapter 4 MATLAB Programming
Systems of Equations Lesson 41: Solve by using a matrix
Real Numbers, Algebra, and Problem Solving
Section 7.4 Matrix Algebra.
Chapter 7: Matrices and Systems of Equations and Inequalities
Lial/Hungerford/Holcomb/Mullins: Mathematics with Applications 11e Finite Mathematics with Applications 11e Copyright ©2015 Pearson Education, Inc. All.
Equations in Two Variables
Method 1: Substitution methods
Matrix Operations Ms. Olifer.
Working with Arrays in MATLAB
3.5 Perform Basic Matrix Operations Algebra II.
Presentation transcript:

Tier 2: Case Studies If you need narration for this, you’re in the wrong profession.

Case Studies Table of Contents Chapter 1 Introduction Useful Computer Tools for Data Reconciliation Chapter 2 Case Study #1 Steady-State Nonlinear DR and Detection of Gross Errors through Analysis Chapter 3 Case Study #2 A Gross Error Detection Problem Using Observability and Redundancy Analysis Chapter 4 Case Study #3 An Unsteady-State Problem If you need narration for this, you’re in the wrong profession.

Useful Computer Tools for Data Reconciliation Introduction: Useful Computer Tools for Data Reconciliation

Jumping Jiminy Cricket! Introduction Jumping Jiminy Cricket! Excel and MATLAB!? This section (Tier 2) will focus on using two widespread software programs, Excel and MATLAB, to solve 3 different case studies in data reconciliation.

Introduction Matrix Algebra Data Reconciliation MATLAB EXCEL As seen in Tier 1, data reconciliation involves using matrix algebra in order to reach a solution. With MATLAB, this is not a problem, as the software is designed for this purpose. However, with Excel, for some operations such as QR Factorization, you will need to download additional software. MATLAB EXCEL

Introduction Some useful syntax in MATLAB: A = AB AT A-1 QR factorization of A QR factorization with permutation A = [1 0 0 1; 0 1 1 0; 1 0 1 1] A*B A’ inv(A) [Q,R] = qr(A) Shown here is some useful syntax for data reconciliation in MATLAB, including matrix notation, multiplication, transpose, inverse, and QR factorization. [Q,R,E] = qr(A)

Introduction Some useful syntax in Excel: 1 Suppose A = (cells A1:B2) Suppose A = (cells A1:B2) B = (cells D1:E2) 1 And here is the corresponding syntax for Excel. Since Excel is a cell-based format, all operations must be performed using arrays of cells. There is no syntax here for QR factorization, but more on that later. Then AB AT A-1 MMULT(A1:B2, D1:E2) TRANSPOSE(A1:B2) MINVERSE(A1:B2)

Introduction A (2x2), B (2x2) AB = C C (2x2) In order to calculate C and place it in cells G1:H2: Highlight cells G1:H2 Type “= MMULT(A1:B2, D1:E2)” Press Control, Shift and Enter simultaneously It should be noted that in order to assign values to an array in Excel, Control, Shift, and Enter must be pressed simultaneously after the desired mathematical operation has been entered in. For example, if it is desired to calculate AB=C, this will result in a 2 by 2 matrix. Therefore, an array of 4 cells must be highlighted and equated to AB in order to obtain the whole solution.