SOLVING SIMULTANEOUS EQUATIONS. Builtin rref(a) EXAMPLE E4.1 Solve Corresponding augmented matrix 2x 4y 2 a 242 x 3y 3

Size: px
Start display at page:

Download "SOLVING SIMULTANEOUS EQUATIONS. Builtin rref(a) EXAMPLE E4.1 Solve Corresponding augmented matrix 2x 4y 2 a 242 x 3y 3"

Transcription

1 Lecture 4 matrices and progressions Open Lecture 4 on class website: ELEMENTARY ROW OPERATIONS swap mult add_mult Given a matri, there are three types of elementary row operations: You may v switch (permute) rows, -- swap v multiply a row by a nonzero constant, -- mult v add a multiple of one row to another row -- add_mult To pivot on the i-jth entry of a matri (assumed nonzero) means using elementary row operations to make that entry 1 and all other entries in the jth column 0. The leading coefficient of a row is the first nonzero entry. A matri is in refuced row echelon form (rref) iff the leading coefficient of each row is 1 and it is to the right of the leading coefficient of the previous row CLASSWORK C4.1(3) pivot Together. Write a function pivot(a,i,j) which pivots matri a on row i and column j. Assume a(i,j)= 0. List a sequence of pivots and swaps (see H3.2(3)) which converts a=[0,2,3,5;2,3,4,6;5,6,6,7] to reduced row echelon form (rref) Copy lines to SciNotes, paste, File/Save as c4.1(3)pivot //c4.1(3)pivot pivot(a,i,j) pivots on a(i,j) //delete this line, write the function swap //delete this line, write the function pivot a=[0,2,3,5;2,3,4,6;5,6,6,7] //convert a to rref. clc;disp(a) //delete this line, add a sequence of pivots and swaps to get rref SOLVING SIMULTANEOUS EQUATIONS. Builtin rref(a) EXAMPLE E4.1 Solve Corresponding augmented matri 2 4y 2 a 242 3y Solution Reduced row echelon form: 3 y 2 rref a a=[2,4,2; 1,3,3] rref(a) Eecute, get the solution from the rref matri, hand-write the general answer as a comment. // =-3, y=2

2 2y 3z EXAMPLE E4.2 Solve 4 5y 6z 7 rref y 7z Hence z 2, hence 2 z where z is arbitrary. In this case, there are infinitely many solutions, one for each choice of the arbitrary parameter z. a=[1,2,3,4; 4,5,6,7; 5,6,7,8] rref(a) Eecute, get the solution from the rref matri, hand-write the general answer as a comment. // =-2+z, y=3-2, z is arb CLASSWORK C4.2(2) rref 6y 4z 5 12y 2z 3 8y z 0 Enter the augmented matri line and the rref line in SciNotes, not Scilab. Copy lines, File/New in SciNotes, paste, File/Save as c4.2(2)rref. // c4.2(2)rref Two SciNote lines, plus comment. Don t copy answers from SciLab. //delete this, fill in the matri and rref(a) lines, need disp(a), disp(rref(a)). [0,1,5] row vector [0;1;5] column vector [0:1:5] start with 0, step size 1, end with 5 0:2:8 step size 2, [ ] may be omitted. [1:.1:2] step size.1 0:45 abbreviation for [0:1:4]=[0,1,2,3,4,5] [8:1:2] [8:-1:2] for i=[3,1,5]; disp(i); end for i=3:5; disp(i); end CLASSWORK C4.3(1) progression Write [2.0,1.9,1.8,...,0.0]as a progression: [n:s:m] Copy lines, paste into SciNotes, File/Save as c4.3(1), fill the 3 spaces. //c4.3(1)progression [1.0,.9,.8,...,0.0] disp([ : : ]) AREAS AND INTEGRALS Builtin intg(f,a,b) b a f is the integral of function f from a to b, it is the signed area between the function and the -ais over the interval a, b. // =1.49,y=,z= //Write answer in the blanks above, rounded to two decimal places. ARITHMETIC PROGRESSIONS [n:s:m].

3 1 a f() -1-1 Area below the -ais is considered negative. In Scilab we write intg(a,b,f) for b a f where f must be a user-defined function. EXAMPLE 4.3 Find 1 cos 2 function y=f() y=1-(cos())^2; disp(intg(-%pi,%pi,f)) // should get = CLASSWORK C4.4(2) semicircle Together. Calculate the area of the unit semicircle, the top half of 2 y 2 1. For a circle of radius is 1, the area is r The semicircle area is half of this /2 3.14/ b 1 In 2 y 2 1, solving for y gives y 1 2 f 1 2 is the upper semicircle. Define the upper semicircle function f. Use the integral intg(a,b,f) to get upper semicircle area. Copy lines, File/New in SciNotes, paste, File/Save as c4.4(2)semicircle. //c4.4(2)semicircle Define upper semicircle function. //Use intg to find the circle area. Ans: 3.14 b To approimate the integral, divide the line segment a, b into equal-width segments. Above each segment draw a rectangle whose height is the function s value. The sum of the (signed) areas of these rectangles is a Riemann sum. The smaller the rectangle width, the more accurate the approimation. f() a b CLASSWORK C4.5(4) my_intg Together. Write a function my_intg(a,b) which uses Riemann sums with rectangles of width, 1/10 5 to calculate the integral b a f d of a user-defined function f.

4 Define the function f 1 2 Find the integral using your function my_intg(a,b) Copy lines, File/New in SciNotes, paste, File/Save as c4.5(4)my_intg. //c4.5(4)my_intg Riemann sums. Ans: 1.57 function y=f() y=sqrt(1-^2) function rsum=my_intg(a,b) //delete this, write the function my_intg here clc;printf("\n") printf("my area = %f \n", my_intg(-1,1)) printf("scilab''s = %f \n",intg(-1,1,f)) CLASSWORK C4.6(3) pos_prod Together. Write a function pos_prod(a) which finds the product of the positive entries in the matri a. Test with the given lines. Copy lines, File/New in SciNotes, paste, File/Save as c3.4(2)pos_prod(a). //c4.6(3)pos_prod pos_prod(a)=product positive entries //delete this, write the function pos_prod(a) a = [1,0,-2; 3,0,-4; -5,6,0]; //ans=18 disp(a),printf(" pos_prod = %i \n",pos_prod(a)) a = [1,-2; 3,-4]; //ans=3 disp(a),printf(" pos_prod = %i \n",pos_prod(a)) CLASSWORK PROBLEMS DUE END OF CLASS C4.1(3)pivot, C4.2(2)rref, C4.3(1)progression, C4.4(2)semicircle, C4.5(4)my_intg, C4.6(3)pos_count to: dale@math.hawaii.edu subject line: 190 c4(15) HOMEWORK H4.1(2) pivot Use the classwork function pivot(a,i,j)to convert a=[3,0,3,5;2,0,4,6;5,6,6,7] to reduced row echelon form. //h4.1(2)pivot add lines to convert //a=[3,0,3,5; 2,0,4,6; 5,6,6,7] HOMEWORK H4.2(2) rref 16y 4z 50 12y 2z y 6z 80 Enter the augmented matri line and the rref line in SciNotes, not Scilab. // h4.2(2)rref SciNote lines, plus comment. Don t copy answers from SciLab. //delete this, fill in the matri and rref(a) lines // =,y=, z= //Write answer in the blanks above, rounded to two decimal places. HOMEWORK H4.3(2) my_intg Define the function f sin Find the integral from 0 to using your function my_intg(a,b). You need to have function code for f and function code for my_intg. No credit for using the built-in intg. //h4.3(2)my_intg integral sin() from 0 to pi //Ans: 2

5 HOMEWORK H4.4(3) countup In SciNotes, write a function countup(n)which generates the nn matri whose entries, when read in the row-column order are 1,2,3,...,n*n. For n=2, countup(2)=[1,2; 3,4]. For n=3, countup(3)=[1,2,3;4,5,6;7,8,9] Fill in each of the two blanks with a single letter/digit. //h4.4(3)countup function b=countup(n) C=1 for i=1:n, for j=1:n b(i,j)= //hint: single letter C = C+ // hint: single digit end; end for i=2:4 disp (countup(i)) end HOMEWORK H4.6(3) pos_count Write a function pos_count(a) which counts the number of positive entries in the matri a. Test with the given lines. Copy lines, File/New in SciNotes, paste, File/Save as h4.6(3)pos_count(a). //h4.6(3)pos_count pos_count(a)=# positive entries //delete this write the function pos_count(a) here a = [1,0,-2;3,0,-4; -5,6,0]; //ans=3 disp(a),printf(" pos_count = %i \n",pos_count(a)) a = [1,-2;3,-4]; //ans=2 disp(a),printf(" pos_count = %i \n",pos_count(a)) HOMEWORK DUE BEFORE NEXT CLASS - QUIZ ON ONE OF THESE H4.1(2)pivot, H4.2(2)rref, H4.3(2)my_intg, H4.4(3)countup, H4.5(3)pos_sum, H4.6(3)pos_count to: dale@math.hawaii.edu subject line: 190 h4(15) HOMEWORK H4.5(3) pos_sum Write a function pos_sum(a) which totals the positive entries in the matri a. Test with these lines. Like classwork pos_prod(a) but a growing sum instead of a growing product. //h4.5(3)pos_sum pos_sum(a)=sum of positive entries //delete this. write the function pos_sum (a) here, a = [1,0,-2;3,0,-4; -5,6,0]; //ans=10 disp(a),printf(" pos_sum = %i \n",pos_sum(a)) a = [1,-2;3,-4]; //ans=4 disp(a),printf(" pos_sum = %i \n",pos_sum(a))

SOLVING SIMULTANEOUS EQUATIONS. EXAMPLE e4.1 Solve Corresponding augmented matrix 2x 4y 2 a 242 x 3y 3

SOLVING SIMULTANEOUS EQUATIONS. EXAMPLE e4.1 Solve Corresponding augmented matrix 2x 4y 2 a 242 x 3y 3 190 Lecture 5 equations graphs integrals Open MATH 190 in a browser; select Lecture 5 Double-click the SciLab icon. See Chapter 3, 10 of text for details. SOLVING SIMULTANEOUS EQUATIONS. EXAMPLE e4.1 Solve

More information

1 0 3 y 2. In SciNotes, enter the augmented matrix, then rref(a).

1 0 3 y 2. In SciNotes, enter the augmented matrix, then rref(a). 190 Lecture 5 equations graphs integrals Open MATH 190 in a browser; select Lecture 5 Double-click the SciLab icon. See Chapter 3, 10 of text for details. SOLVING SIMULTANEOUS EQUATIONS. EXAMPLE e4.1 Solve

More information

Midterm Lectures 1-10 Lecture 1 arithmetic and functions

Midterm Lectures 1-10 Lecture 1 arithmetic and functions Midterm Lectures 1-10 Lecture 1 arithmetic and functions MATH 190 WEBSITE: math.hawaii.edu/190 Open this in Chrome (not Firefox). Read and accept the Terms of Acceptable Lab Use. Open Lecture 1. Open Scilab.

More information

Lecture 1 arithmetic and functions

Lecture 1 arithmetic and functions Lecture 1 arithmetic and functions ARITHMETIC Double-click the Scilab icon (top center, black with red dots). Enter the following: (active participation is required) 3+2 3*2 3/2 3^2 3**2 In Matlab, use

More information

Solving Systems of Equations Using Matrices With the TI-83 or TI-84

Solving Systems of Equations Using Matrices With the TI-83 or TI-84 Solving Systems of Equations Using Matrices With the TI-83 or TI-84 Dimensions of a matrix: The dimensions of a matrix are the number of rows by the number of columns in the matrix. rows x columns *rows

More information

MATH 423 Linear Algebra II Lecture 17: Reduced row echelon form (continued). Determinant of a matrix.

MATH 423 Linear Algebra II Lecture 17: Reduced row echelon form (continued). Determinant of a matrix. MATH 423 Linear Algebra II Lecture 17: Reduced row echelon form (continued). Determinant of a matrix. Row echelon form A matrix is said to be in the row echelon form if the leading entries shift to the

More information

For example, the system. 22 may be represented by the augmented matrix

For example, the system. 22 may be represented by the augmented matrix Matrix Solutions to Linear Systems A matrix is a rectangular array of elements. o An array is a systematic arrangement of numbers or symbols in rows and columns. Matrices (the plural of matrix) may be

More information

Lecture 1 arithmetic and functions

Lecture 1 arithmetic and functions Lecture 1 arithmetic and functions MATH 190 WEBSITE: www.math.hawaii.edu/190 Open MATH 190 in a web browser. Read and accept the Terms of Acceptable Lab Use. Open Lecture 1. PREREQUISITE: You must have

More information

z = x 2 xy + y 2 clf // c6.1(2)contour Change to make a contour plot of z=xy.

z = x 2 xy + y 2 clf // c6.1(2)contour Change to make a contour plot of z=xy. 190 Lecture 6 3D equations formatting Open Lecture 6. See Capter 3, 10 of text for details. Draw a contour grap and a 3D grap of z = 1 x 2 y 2 = an upper emispere. For Classwork 1 and 2, you will grap

More information

3+2 3*2 3/2 3^2 3**2 In matlab, use ^ or ** for exponentiation. In fortran, use only ** not ^ VARIABLES LECTURE 1: ARITHMETIC AND FUNCTIONS

3+2 3*2 3/2 3^2 3**2 In matlab, use ^ or ** for exponentiation. In fortran, use only ** not ^ VARIABLES LECTURE 1: ARITHMETIC AND FUNCTIONS LECTURE 1: ARITHMETIC AND FUNCTIONS MATH 190 WEBSITE: www.math.hawaii.edu/ gautier/190.html PREREQUISITE: You must have taken or be taking Calculus I concurrently. If not taken here, specify the college

More information

Section 3.1 Gaussian Elimination Method (GEM) Key terms

Section 3.1 Gaussian Elimination Method (GEM) Key terms Section 3.1 Gaussian Elimination Method (GEM) Key terms Rectangular systems Consistent system & Inconsistent systems Rank Types of solution sets RREF Upper triangular form & back substitution Nonsingular

More information

Exercise Set Decide whether each matrix below is an elementary matrix. (a) (b) (c) (d) Answer:

Exercise Set Decide whether each matrix below is an elementary matrix. (a) (b) (c) (d) Answer: Understand the relationships between statements that are equivalent to the invertibility of a square matrix (Theorem 1.5.3). Use the inversion algorithm to find the inverse of an invertible matrix. Express

More information

10/26/ Solving Systems of Linear Equations Using Matrices. Objectives. Matrices

10/26/ Solving Systems of Linear Equations Using Matrices. Objectives. Matrices 6.1 Solving Systems of Linear Equations Using Matrices Objectives Write the augmented matrix for a linear system. Perform matrix row operations. Use matrices and Gaussian elimination to solve systems.

More information

`Three sides of a 500 square foot rectangle are fenced. Express the fence s length f as a function of height x.

`Three sides of a 500 square foot rectangle are fenced. Express the fence s length f as a function of height x. Math 140 Lecture 9 See inside text s front cover for area and volume formulas Classwork, remember units Don t just memorize steps, try to understand instead If you understand, every test problem will be

More information

A Poorly Conditioned System. Matrix Form

A Poorly Conditioned System. Matrix Form Possibilities for Linear Systems of Equations A Poorly Conditioned System A Poorly Conditioned System Results No solution (inconsistent) Unique solution (consistent) Infinite number of solutions (consistent)

More information

Searching. Lecture 19 Recursion

Searching. Lecture 19 Recursion Lecture 19 Recursion Reading assignment: chapters 15, 23 recursion sections. RECURSIVE FUNCTIONS A function is defined recursively if it is defined in terms of earlier values. 2 n 2 2 2... 2 n times can

More information

6.3 Notes O Brien F15

6.3 Notes O Brien F15 CA th ed HL. Notes O Brien F. Solution of Linear Systems by ow Transformations I. Introduction II. In this section we will solve systems of first degree equations which have two or more variables. We will

More information

3.2 Extrema & Function Analysis Name: 1

3.2 Extrema & Function Analysis Name: 1 Precalculus Write our questions and thoughts here! 3.2 Etrema & Function Analsis Name: 1 Absolute ma/min absolutel the. Relative ma/min a point on the function that is. Finding a ma/min means finding the

More information

Department of Electrical and Computer Engineering University of Wisconsin - Madison. ECE/CS 352 Digital System Fundamentals.

Department of Electrical and Computer Engineering University of Wisconsin - Madison. ECE/CS 352 Digital System Fundamentals. Department of Electrical and Computer Engineering University of Wisconsin - Madison ECE/C 352 Digital ystem Fundamentals Quiz #2 Thursday, March 7, 22, 7:15--8:3PM 1. (15 points) (a) (5 points) NAND, NOR

More information

Linear Equations in Linear Algebra

Linear Equations in Linear Algebra 1 Linear Equations in Linear Algebra 1.2 Row Reduction and Echelon Forms ECHELON FORM A rectangular matrix is in echelon form (or row echelon form) if it has the following three properties: 1. All nonzero

More information

Precalculus Notes: Unit 7 Systems of Equations and Matrices

Precalculus Notes: Unit 7 Systems of Equations and Matrices Date: 7.1, 7. Solving Systems of Equations: Graphing, Substitution, Elimination Syllabus Objectives: 8.1 The student will solve a given system of equations or system of inequalities. Solution of a System

More information

Performing Matrix Operations on the TI-83/84

Performing Matrix Operations on the TI-83/84 Page1 Performing Matrix Operations on the TI-83/84 While the layout of most TI-83/84 models are basically the same, of the things that can be different, one of those is the location of the Matrix key.

More information

February 01, Matrix Row Operations 2016 ink.notebook. 6.6 Matrix Row Operations. Page 49 Page Row operations

February 01, Matrix Row Operations 2016 ink.notebook. 6.6 Matrix Row Operations. Page 49 Page Row operations 6.6 Matrix Row Operations 2016 ink.notebook Page 49 Page 50 6.6 Row operations (Solve Systems with Matrices) Lesson Objectives Page 51 Standards Lesson Notes Page 52 6.6 Matrix Row Operations Press the

More information

3. Replace any row by the sum of that row and a constant multiple of any other row.

3. Replace any row by the sum of that row and a constant multiple of any other row. Math Section. Section.: Solving Systems of Linear Equations Using Matrices As you may recall from College Algebra or Section., you can solve a system of linear equations in two variables easily by applying

More information

Finite Math - J-term Homework. Section Inverse of a Square Matrix

Finite Math - J-term Homework. Section Inverse of a Square Matrix Section.5-77, 78, 79, 80 Finite Math - J-term 017 Lecture Notes - 1/19/017 Homework Section.6-9, 1, 1, 15, 17, 18, 1, 6, 9, 3, 37, 39, 1,, 5, 6, 55 Section 5.1-9, 11, 1, 13, 1, 17, 9, 30 Section.5 - Inverse

More information

Decimals. Chapter Five

Decimals. Chapter Five Chapter Five Decimals 5.1 Introductions to Decimals 5.2 Adding & Subtracting Decimals 5.3 Multiplying Decimals & Circumference of a Circle 5.4 Dividing Decimals 5.5 Fractions, Decimals, & Order of Operations

More information

x = 12 x = 12 1x = 16

x = 12 x = 12 1x = 16 2.2 - The Inverse of a Matrix We've seen how to add matrices, multiply them by scalars, subtract them, and multiply one matrix by another. The question naturally arises: Can we divide one matrix by another?

More information

LAB 2: Linear Equations and Matrix Algebra. Preliminaries

LAB 2: Linear Equations and Matrix Algebra. Preliminaries Math 250C, Section C2 Hard copy submission Matlab # 2 1 Revised 07/13/2016 LAB 2: Linear Equations and Matrix Algebra In this lab you will use Matlab to study the following topics: Solving a system of

More information

Assignment 2. with (a) (10 pts) naive Gauss elimination, (b) (10 pts) Gauss with partial pivoting

Assignment 2. with (a) (10 pts) naive Gauss elimination, (b) (10 pts) Gauss with partial pivoting Assignment (Be sure to observe the rules about handing in homework). Solve: with (a) ( pts) naive Gauss elimination, (b) ( pts) Gauss with partial pivoting *You need to show all of the steps manually.

More information

hp calculators hp 39g+ & hp 39g/40g Using Matrices How are matrices stored? How do I solve a system of equations? Quick and easy roots of a polynomial

hp calculators hp 39g+ & hp 39g/40g Using Matrices How are matrices stored? How do I solve a system of equations? Quick and easy roots of a polynomial hp calculators hp 39g+ Using Matrices Using Matrices The purpose of this section of the tutorial is to cover the essentials of matrix manipulation, particularly in solving simultaneous equations. How are

More information

Ahigh school curriculum in Algebra 2 contains both solving systems of linear equations,

Ahigh school curriculum in Algebra 2 contains both solving systems of linear equations, The Simplex Method for Systems of Linear Inequalities Todd O. Moyer, Towson University Abstract: This article details the application of the Simplex Method for an Algebra 2 class. Students typically learn

More information

How to Solve a Standard Maximization Problem Using the Simplex Method and the Rowops Program

How to Solve a Standard Maximization Problem Using the Simplex Method and the Rowops Program How to Solve a Standard Maximization Problem Using the Simplex Method and the Rowops Program Problem: Maximize z = x + 0x subject to x + x 6 x + x 00 with x 0 y 0 I. Setting Up the Problem. Rewrite each

More information

Teaching Manual Math 2131

Teaching Manual Math 2131 Math 2131 Linear Algebra Labs with MATLAB Math 2131 Linear algebra with Matlab Teaching Manual Math 2131 Contents Week 1 3 1 MATLAB Course Introduction 5 1.1 The MATLAB user interface...........................

More information

Math 355: Linear Algebra: Midterm 1 Colin Carroll June 25, 2011

Math 355: Linear Algebra: Midterm 1 Colin Carroll June 25, 2011 Rice University, Summer 20 Math 355: Linear Algebra: Midterm Colin Carroll June 25, 20 I have adhered to the Rice honor code in completing this test. Signature: Name: Date: Time: Please read the following

More information

CS6015 / LARP ACK : Linear Algebra and Its Applications - Gilbert Strang

CS6015 / LARP ACK : Linear Algebra and Its Applications - Gilbert Strang Solving and CS6015 / LARP 2018 ACK : Linear Algebra and Its Applications - Gilbert Strang Introduction Chapter 1 concentrated on square invertible matrices. There was one solution to Ax = b and it was

More information

MAT 343 Laboratory 2 Solving systems in MATLAB and simple programming

MAT 343 Laboratory 2 Solving systems in MATLAB and simple programming MAT 343 Laboratory 2 Solving systems in MATLAB and simple programming In this laboratory session we will learn how to 1. Solve linear systems with MATLAB 2. Create M-files with simple MATLAB codes Backslash

More information

In this chapter, we will investigate what have become the standard applications of the integral:

In this chapter, we will investigate what have become the standard applications of the integral: Chapter 8 Overview: Applications of Integrals Calculus, like most mathematical fields, began with trying to solve everyday problems. The theory and operations were formalized later. As early as 70 BC,

More information

1.1 calculator viewing window find roots in your calculator 1.2 functions find domain and range (from a graph) may need to review interval notation

1.1 calculator viewing window find roots in your calculator 1.2 functions find domain and range (from a graph) may need to review interval notation 1.1 calculator viewing window find roots in your calculator 1.2 functions find domain and range (from a graph) may need to review interval notation functions vertical line test function notation evaluate

More information

Solving Systems Using Row Operations 1 Name

Solving Systems Using Row Operations 1 Name The three usual methods of solving a system of equations are graphing, elimination, and substitution. While these methods are excellent, they can be difficult to use when dealing with three or more variables.

More information

January 24, Matrix Row Operations 2017 ink.notebook. 6.6 Matrix Row Operations. Page 35 Page Row operations

January 24, Matrix Row Operations 2017 ink.notebook. 6.6 Matrix Row Operations. Page 35 Page Row operations 6.6 Matrix Row Operations 2017 ink.notebook Page 35 Page 36 6.6 Row operations (Solve Systems with Matrices) Lesson Objectives Page 37 Standards Lesson Notes Page 38 6.6 Matrix Row Operations Press the

More information

Math 2B Linear Algebra Test 2 S13 Name Write all responses on separate paper. Show your work for credit.

Math 2B Linear Algebra Test 2 S13 Name Write all responses on separate paper. Show your work for credit. Math 2B Linear Algebra Test 2 S3 Name Write all responses on separate paper. Show your work for credit.. Construct a matrix whose a. null space consists of all combinations of (,3,3,) and (,2,,). b. Left

More information

The Fundamental Theorem of Calculus Using the Rule of Three

The Fundamental Theorem of Calculus Using the Rule of Three The Fundamental Theorem of Calculus Using the Rule of Three A. Approimations with Riemann sums. The area under a curve can be approimated through the use of Riemann (or rectangular) sums: n Area f ( k

More information

Answers to practice questions for Midterm 1

Answers to practice questions for Midterm 1 Answers to practice questions for Midterm Paul Hacking /5/9 (a The RREF (reduced row echelon form of the augmented matrix is So the system of linear equations has exactly one solution given by x =, y =,

More information

Solution Notes. COMP 151: Terms Test

Solution Notes. COMP 151: Terms Test Family Name:.............................. Other Names:............................. ID Number:............................... Signature.................................. Solution Notes COMP 151: Terms

More information

More About Factoring Trinomials

More About Factoring Trinomials Section 6.3 More About Factoring Trinomials 239 83. x 2 17x 70 x 7 x 10 Width of rectangle: Length of rectangle: x 7 x 10 Width of shaded region: 7 Length of shaded region: x 10 x 10 Area of shaded region:

More information

190 Lecture 13 recursion, vectors subroutines

190 Lecture 13 recursion, vectors subroutines 190 Lecture 13 recursion, vectors subroutines Open SciTE, Lect. 7 We cover these chapters of your Fortran text: 7&8, 9&10, 11&12, 13&14, 15&16, 17&18, 19&22, 23. Current reading assignment: chapters 8,

More information

MATH 2000 Gauss-Jordan Elimination and the TI-83 [Underlined bold terms are defined in the glossary]

MATH 2000 Gauss-Jordan Elimination and the TI-83 [Underlined bold terms are defined in the glossary] x y z 0 0 3 4 5 MATH 000 Gauss-Jordan Elimination and the TI-3 [Underlined bold terms are defined in the glossary] 3z = A linear system such as x + 4y z = x + 5y z = can be solved algebraically using ordinary

More information

Math-2 Lesson 6-3: Area of: Triangles, rectangles, circles and Surface Area of Pyramids

Math-2 Lesson 6-3: Area of: Triangles, rectangles, circles and Surface Area of Pyramids Math- Lesson 6-3: rea of: Triangles, rectangles, circles and Surface rea of Pyramids SM: Lesson 6-3 (rea) For the following geometric shapes, how would you answer the question; how big is it? Describe

More information

CDA 3103 Computer Organization Exam 1 (Sep. 22th, 2014)

CDA 3103 Computer Organization Exam 1 (Sep. 22th, 2014) CDA 3103 Computer Organization Exam 1 (Sep. 22th, 2014) Name: USF ID: Problem Points Score 1 10 2 10 3 15 4 15 5 10 6 20 otal 80 Exam Rules Use the back of the exam paper as necessary. But indicate clearly

More information

2. Use elementary row operations to rewrite the augmented matrix in a simpler form (i.e., one whose solutions are easy to find).

2. Use elementary row operations to rewrite the augmented matrix in a simpler form (i.e., one whose solutions are easy to find). Section. Gaussian Elimination Our main focus in this section is on a detailed discussion of a method for solving systems of equations. In the last section, we saw that the general procedure for solving

More information

PRACTICE FINAL - MATH 1210, Spring 2012 CHAPTER 1

PRACTICE FINAL - MATH 1210, Spring 2012 CHAPTER 1 PRACTICE FINAL - MATH 2, Spring 22 The Final will have more material from Chapter 4 than other chapters. To study for chapters -3 you should review the old practice eams IN ADDITION TO what appears here.

More information

3. Solve the following. Round to the nearest thousandth.

3. Solve the following. Round to the nearest thousandth. This review does NOT cover everything! Be sure to go over all notes, homework, and tests that were given throughout the semester. 1. Given g ( x) i, h( x) x 4x x, f ( x) x, evaluate the following: a) f

More information

CLASSWORK 12.1(2) sign_of.f95 Write a function. EXAMPLE conversion.f95

CLASSWORK 12.1(2) sign_of.f95 Write a function. EXAMPLE conversion.f95 190 Lecture 12 Subroutines, logic Open Lecture 11. Open SciTE (black death star) not Scilab We cover these chapters of your Fortran text: 7&8, 9&10, 11&12, 13&14, 15&16, 17&18, 19&22, 23. Reading assignment:

More information

Math 414 Lecture 2 Everyone have a laptop?

Math 414 Lecture 2 Everyone have a laptop? Math 44 Lecture 2 Everyone have a laptop? THEOREM. Let v,...,v k be k vectors in an n-dimensional space and A = [v ;...; v k ] v,..., v k independent v,..., v k span the space v,..., v k a basis v,...,

More information

EXTENSION. a 1 b 1 c 1 d 1. Rows l a 2 b 2 c 2 d 2. a 3 x b 3 y c 3 z d 3. This system can be written in an abbreviated form as

EXTENSION. a 1 b 1 c 1 d 1. Rows l a 2 b 2 c 2 d 2. a 3 x b 3 y c 3 z d 3. This system can be written in an abbreviated form as EXTENSION Using Matrix Row Operations to Solve Systems The elimination method used to solve systems introduced in the previous section can be streamlined into a systematic method by using matrices (singular:

More information

Identity Matrix: >> eye(3) ans = Matrix of Ones: >> ones(2,3) ans =

Identity Matrix: >> eye(3) ans = Matrix of Ones: >> ones(2,3) ans = Very Basic MATLAB Peter J. Olver January, 2009 Matrices: Type your matrix as follows: Use space or, to separate entries, and ; or return after each row. >> [;5 0-3 6;; - 5 ] or >> [,5,6,-9;5,0,-3,6;7,8,5,0;-,,5,]

More information

Notes for Unit 1 Part A: Rational vs. Irrational

Notes for Unit 1 Part A: Rational vs. Irrational Notes for Unit 1 Part A: Rational vs. Irrational Natural Number: Whole Number: Integer: Rational Number: Irrational Number: Rational Numbers All are Real Numbers Integers Whole Numbers Irrational Numbers

More information

Lecture 19 Recursion

Lecture 19 Recursion Lecture 19 Recursion Reading assignment: chapters 15, 23 recursion sections. RECURSIVE FUNCTIONS A function is defined recursively if it is defined in terms of earlier values. 2 n = 2$2$2$...$2 n times

More information

Lesson 13: Exploring Factored Form

Lesson 13: Exploring Factored Form Opening Activity Below is a graph of the equation y = 6(x 3)(x + 2). It is also the graph of: y = 3(2x 6)(x + 2) y = 2(3x 9)(x + 2) y = 2(x 3)(3x + 6) y = 3(x 3)(2x + 4) y = (3x 9)(2x + 4) y = (2x 6)(3x

More information

Volume of Cylinders. Volume of Cones. Example Find the volume of the cylinder. Round to the nearest tenth.

Volume of Cylinders. Volume of Cones. Example Find the volume of the cylinder. Round to the nearest tenth. Volume of Cylinders As with prisms, the area of the base of a cylinder tells the number of cubic units in one layer. The height tells how many layers there are in the cylinder. The volume V of a cylinder

More information

Introduction: Equipment: Getting Started Collecting the data:

Introduction: Equipment: Getting Started Collecting the data: Introduction: Collecting Ball Bounce data. Many aspects relating to the motion of a bouncing ball can be modelled mathematically. The first stage in modelling the motion is to collect some data. The Calculator

More information

ROSE-HULMAN INSTITUTE OF TECHNOLOGY

ROSE-HULMAN INSTITUTE OF TECHNOLOGY EXAM 2 WRITTEN PORTION NAME SECTION NUMBER CAMPUS MAILBOX NUMBER EMAIL ADDRESS @rose-hulman.edu Written Portion / 48 Computer Portion / 52 Total / 100 ROSE-HULMAN INSTITUTE OF TECHNOLOGY USE MATLAB SYNTAX

More information

Measures of Dispersion

Measures of Dispersion Lesson 7.6 Objectives Find the variance of a set of data. Calculate standard deviation for a set of data. Read data from a normal curve. Estimate the area under a curve. Variance Measures of Dispersion

More information

14.1 Similar Triangles and the Tangent Ratio Per Date Trigonometric Ratios Investigate the relationship of the tangent ratio.

14.1 Similar Triangles and the Tangent Ratio Per Date Trigonometric Ratios Investigate the relationship of the tangent ratio. 14.1 Similar Triangles and the Tangent Ratio Per Date Trigonometric Ratios Investigate the relationship of the tangent ratio. Using the space below, draw at least right triangles, each of which has one

More information

Repetition Structures Chapter 9

Repetition Structures Chapter 9 Sum of the terms Repetition Structures Chapter 9 1 Value of the Alternating Harmonic Series 0.9 0.8 0.7 0.6 0.5 10 0 10 1 10 2 10 3 Number of terms Objectives After studying this chapter you should be

More information

Fondamenti di Informatica

Fondamenti di Informatica Fondamenti di Informatica Scripts and Functions: examples lesson 9 2012/04/16 Prof. Emiliano Casalicchio emiliano.casalicchio@uniroma2.it Agenda Examples Bisection method Locating roots Secant methods

More information

Volume Worksheets (Chapter 6)

Volume Worksheets (Chapter 6) Volume Worksheets (Chapter 6) Name page contents: date AP Free Response Area Between Curves 3-5 Volume b Cross-section with Riemann Sums 6 Volume b Cross-section Homework 7-8 AP Free Response Volume b

More information

6-1 THE STANDARD NORMAL DISTRIBUTION

6-1 THE STANDARD NORMAL DISTRIBUTION 6-1 THE STANDARD NORMAL DISTRIBUTION The major focus of this chapter is the concept of a normal probability distribution, but we begin with a uniform distribution so that we can see the following two very

More information

Mastery. PRECALCULUS Student Learning Targets

Mastery. PRECALCULUS Student Learning Targets PRECALCULUS Student Learning Targets Big Idea: Sequences and Series 1. I can describe a sequence as a function where the domain is the set of natural numbers. Connections (Pictures, Vocabulary, Definitions,

More information

Advanced Operations Research Techniques IE316. Quiz 1 Review. Dr. Ted Ralphs

Advanced Operations Research Techniques IE316. Quiz 1 Review. Dr. Ted Ralphs Advanced Operations Research Techniques IE316 Quiz 1 Review Dr. Ted Ralphs IE316 Quiz 1 Review 1 Reading for The Quiz Material covered in detail in lecture. 1.1, 1.4, 2.1-2.6, 3.1-3.3, 3.5 Background material

More information

MatLab Project # 1 Due IN TUTORIAL Wednesday October 30

MatLab Project # 1 Due IN TUTORIAL Wednesday October 30 Mathematics 110 University of Victoria Fall 2013 MatLab Project # 1 Due IN TUTORIAL Wednesday October 30 Name ID V00 Section A0 Tutorial T0 Instructions: After completing this project, copy and paste your

More information

Name: Target 12.2: Find and apply surface of Spheres and Composites 12.2a: Surface Area of Spheres 12.2b: Surface Area of Composites Solids

Name: Target 12.2: Find and apply surface of Spheres and Composites 12.2a: Surface Area of Spheres 12.2b: Surface Area of Composites Solids Unit 12: Surface Area and Volume of Solids Target 12.0: Euler s Formula and Introduction to Solids Target 12.1: Find and apply surface area of solids 12.1a: Surface Area of Prisms and Cylinders 12.1b:

More information

Need more help with decimal subtraction? See T23. Note: The inequality sign is reversed only when multiplying or dividing by a negative number.

Need more help with decimal subtraction? See T23. Note: The inequality sign is reversed only when multiplying or dividing by a negative number. . (D) According to the histogram, junior boys sleep an average of.5 hours on a daily basis and junior girls sleep an average of. hours. To find how many more hours the average junior boy sleeps than the

More information

Lab 1 - Worksheet Spring 2013

Lab 1 - Worksheet Spring 2013 Math 300 UMKC Lab 1 - Worksheet Spring 2013 Learning Objectives: 1. How to use Matlab as a calculator 2. Learn about Matlab built in functions 3. Matrix and Vector arithmetics 4. MATLAB rref command 5.

More information

Fill in the Blank Modeling and Prototypes. Name: Class: Date:

Fill in the Blank Modeling and Prototypes. Name: Class: Date: Fill in the Blank - 4.4.1 Modeling and Prototypes Name: Class: Date: Fill in the blanks in these sentences with the word that fits. 1. The Design process is a systematic, iterative problem solving methodwhich

More information

Number. Number. Number. Number

Number. Number. Number. Number Order of operations: Brackets Give the order in which operations should be carried out. Indices Divide Multiply Add 1 Subtract 1 What are the first 10 square numbers? The first 10 square numbers are: 1,

More information

Digital Signal Processing. Soma Biswas

Digital Signal Processing. Soma Biswas Digital Signal Processing Soma Biswas 2017 Partial credit for slides: Dr. Manojit Pramanik Outline What is FFT? Types of FFT covered in this lecture Decimation in Time (DIT) Decimation in Frequency (DIF)

More information

QUIZ 4 (CHAPTER 17) SOLUTIONS MATH 252 FALL 2008 KUNIYUKI SCORED OUT OF 125 POINTS MULTIPLIED BY % POSSIBLE

QUIZ 4 (CHAPTER 17) SOLUTIONS MATH 252 FALL 2008 KUNIYUKI SCORED OUT OF 125 POINTS MULTIPLIED BY % POSSIBLE QUIZ 4 (CHAPTER 17) SOLUTIONS MATH 5 FALL 8 KUNIYUKI SCORED OUT OF 15 POINTS MULTIPLIED BY.84 15% POSSIBLE 1) Reverse the order of integration, and evaluate the resulting double integral: 16 y dx dy. Give

More information

MATLAB Lecture 1. Introduction to MATLAB

MATLAB Lecture 1. Introduction to MATLAB MATLAB Lecture 1. Introduction to MATLAB 1.1 The MATLAB environment MATLAB is a software program that allows you to compute interactively with matrices. If you want to know for instance the product of

More information

Marmara University Faculty of Engineering Mechanical Engineering Department Lab7

Marmara University Faculty of Engineering Mechanical Engineering Department Lab7 Marmara University Faculty of Engineering Mechanical Engineering Department Lab7 1. Write a function FC.m that accepts temperature in degrees F and computes the corresponding value in degrees C. The relation

More information

Output: For each size provided as input, a figure of that size is to appear, followed by a blank line.

Output: For each size provided as input, a figure of that size is to appear, followed by a blank line. Problem 1: Divisor Differences Develop a program that, given integers m and k satisfying m > k > 0, lists every pair of positive integers (i,j) such that j i = k and both i and j are divisors of m. Input:

More information

The Department of Engineering Science The University of Auckland Welcome to ENGGEN 131 Engineering Computation and Software Development

The Department of Engineering Science The University of Auckland Welcome to ENGGEN 131 Engineering Computation and Software Development The Department of Engineering Science The University of Auckland Welcome to ENGGEN 131 Engineering Computation and Software Development Chapter 1 An Introduction to MATLAB Course Information (from Course

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 666/0 Edecel GCE Core Mathematics C Bronze Level B Time: hour 0 minutes Materials required for eamination Mathematical Formulae (Green) Items included with question papers Nil Candidates

More information

Exam 2 Review. 2. What the difference is between an equation and an expression?

Exam 2 Review. 2. What the difference is between an equation and an expression? Exam 2 Review Chapter 1 Section1 Do You Know: 1. What does it mean to solve an equation? 2. What the difference is between an equation and an expression? 3. How to tell if an equation is linear? 4. How

More information

Rectangle Sums

Rectangle Sums Rectangle Sums --208 You can approximate the area under a curve using rectangles. To do this, divide the base interval into pieces subintervals). Then on each subinterval, build a rectangle that goes up

More information

Chapter 5 DECIMAL NOTATION

Chapter 5 DECIMAL NOTATION Name: Instructor: Date: Section: Chapter 5 DECIMAL NOTATION 5.1 Decimal Notation, Order, and Rounding Learning Objectives A Given decimal notation, write a word name. B Convert between decimal notation

More information

Technische Universität München Zentrum Mathematik

Technische Universität München Zentrum Mathematik Technische Universität München Zentrum Mathematik Prof. Dr. Dr. Jürgen Richter-Gebert, Bernhard Werner Projective Geometry SS 208 https://www-m0.ma.tum.de/bin/view/lehre/ss8/pgss8/webhome Solutions for

More information

WEEK 4 REVIEW. Graphing Systems of Linear Inequalities (3.1)

WEEK 4 REVIEW. Graphing Systems of Linear Inequalities (3.1) WEEK 4 REVIEW Graphing Systems of Linear Inequalities (3.1) Linear Programming Problems (3.2) Checklist for Exam 1 Review Sample Exam 1 Graphing Linear Inequalities Graph the following system of inequalities.

More information

CHAPTER 5 SYSTEMS OF EQUATIONS. x y

CHAPTER 5 SYSTEMS OF EQUATIONS. x y page 1 of Section 5.1 CHAPTER 5 SYSTEMS OF EQUATIONS SECTION 5.1 GAUSSIAN ELIMINATION matrix form of a system of equations The system 2x + 3y + 4z 1 5x + y + 7z 2 can be written as Ax where b 2 3 4 A [

More information

6 th Grade Math Cylinder Task. c) Draw a net (pattern) for the manufacturer to use to make the can.

6 th Grade Math Cylinder Task. c) Draw a net (pattern) for the manufacturer to use to make the can. 6 th Grade Math a) Explain what is meant by surface area. What steps would you take to find the surface area of a cylinder? b) One of the major expenses in manufacturing a can is the amount of metal that

More information

Lab 1 Intro to MATLAB and FreeMat

Lab 1 Intro to MATLAB and FreeMat Lab 1 Intro to MATLAB and FreeMat Objectives concepts 1. Variables, vectors, and arrays 2. Plotting data 3. Script files skills 1. Use MATLAB to solve homework problems 2. Plot lab data and mathematical

More information

QUIZ: What is the output of this MATLAB code? >> A = [2,4,10,13;16,3,7,18; 8,4,9,25;3,12,15,17]; >> length(a) >> size(a) >> B = A(2:3, 1:3) >> B(5)

QUIZ: What is the output of this MATLAB code? >> A = [2,4,10,13;16,3,7,18; 8,4,9,25;3,12,15,17]; >> length(a) >> size(a) >> B = A(2:3, 1:3) >> B(5) QUIZ: What is the output of this MATLAB code? >> A = [2,4,10,13;16,3,7,18; 8,4,9,25;3,12,15,17]; >> length(a) >> size(a) >> B = A(2:3, 1:3) >> B(5) QUIZ Ch.3 Introduction to MATLAB programming 3.1 Algorithms

More information

Lecture 2: Variables, Vectors and Matrices in MATLAB

Lecture 2: Variables, Vectors and Matrices in MATLAB Lecture 2: Variables, Vectors and Matrices in MATLAB Dr. Mohammed Hawa Electrical Engineering Department University of Jordan EE201: Computer Applications. See Textbook Chapter 1 and Chapter 2. Variables

More information

College Algebra Exam File - Fall Test #1

College Algebra Exam File - Fall Test #1 College Algebra Exam File - Fall 010 Test #1 1.) For each of the following graphs, indicate (/) whether it is the graph of a function and if so, whether it the graph of one-to one function. Circle your

More information

Lecture-12: Closed Sets

Lecture-12: Closed Sets and Its Examples Properties of Lecture-12: Dr. Department of Mathematics Lovely Professional University Punjab, India October 18, 2014 Outline Introduction and Its Examples Properties of 1 Introduction

More information

CSE/NEUBEH 528 Homework 0: Introduction to Matlab

CSE/NEUBEH 528 Homework 0: Introduction to Matlab CSE/NEUBEH 528 Homework 0: Introduction to Matlab (Practice only: Do not turn in) Okay, let s begin! Open Matlab by double-clicking the Matlab icon (on MS Windows systems) or typing matlab at the prompt

More information

Exploring AP Calculus With Colorful Calculator Investigations Deedee Stanfield

Exploring AP Calculus With Colorful Calculator Investigations Deedee Stanfield Eploring AP Calculus With Colorful Calculator Investigations Deedee Stanfield dstanfield.oh@oford.k12.al.us Eplore Limits, Derivatives, and Integration through hands-on activities that involve color-enhanced

More information

Technische Universität München Zentrum Mathematik

Technische Universität München Zentrum Mathematik Question 1. Incidence matrix with gaps Technische Universität München Zentrum Mathematik Prof. Dr. Dr. Jürgen Richter-Gebert, Bernhard Werner Projective Geometry SS 2016 www-m10.ma.tum.de/projektivegeometriess16

More information

Maths for Signals and Systems Linear Algebra in Engineering. Some problems by Gilbert Strang

Maths for Signals and Systems Linear Algebra in Engineering. Some problems by Gilbert Strang Maths for Signals and Systems Linear Algebra in Engineering Some problems by Gilbert Strang Problems. Consider u, v, w to be non-zero vectors in R 7. These vectors span a vector space. What are the possible

More information

Santiago AP Calculus AB/BC Summer Assignment 2018 AB: complete problems 1 64, BC: complete problems 1 73

Santiago AP Calculus AB/BC Summer Assignment 2018 AB: complete problems 1 64, BC: complete problems 1 73 Santiago AP Calculus AB/BC Summer Assignment 2018 AB: complete problems 1 64, BC: complete problems 1 73 AP Calculus is a rigorous college level math course. It will be necessary to do some preparatory

More information