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MAT1503 exam papers, memo's and NOTES
This zipped file contains exams and memo's from 2011  2017 and a lot of notes and examples on all topics including matrices, complex numbers and vectors. You guaranteed to pass if you go through this thoroughly.
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MAT1503 exam papers, memo's and NOTES
Last document update: agoThis zipped file contains exams and memo's from 2011  2017 and a lot of notes and examples on all topics including matrices, complex numbers and vectors. You guaranteed to pass if you go through this thoroughly.
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CH 07  Integer Linear Programming Questions and Answers
/ 1. The LP Relaxation contains the objective function and constraints of the IP problem, but drops all integer restrictions. a. b. ANSWER: POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.07.02  7.2 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 7.2 Graphical and Computer Solutions for an AllInteger Linear Program KEYWORDS: Bloom's: Understand 2. In general, rounding large values of decision variables to the nearest integer valu...
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CH 07  Integer Linear Programming Questions and Answers
Last document update: ago/ 1. The LP Relaxation contains the objective function and constraints of the IP problem, but drops all integer restrictions. a. b. ANSWER: POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.07.02  7.2 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 7.2 Graphical and Computer Solutions for an AllInteger Linear Program KEYWORDS: Bloom's: Understand 2. In general, rounding large values of decision variables to the nearest integer valu...
CH 02  An Introduction to Linear Programming. Questions and Answers
/ 1. In a linear programming problem, the objective function and the constraints must be linear functions of the decision variables. a. b. : POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.02.01  2.1 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 2.1 A Simple Maximization Problem KEYWORDS: Bloom's: Remember 2. Only binding constraints form the shape (boundaries) of the feasible region. a. b. : POINTS: 1 DIFFICULTY: ...
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CH 02  An Introduction to Linear Programming. Questions and Answers
Last document update: ago/ 1. In a linear programming problem, the objective function and the constraints must be linear functions of the decision variables. a. b. : POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.02.01  2.1 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 2.1 A Simple Maximization Problem KEYWORDS: Bloom's: Remember 2. Only binding constraints form the shape (boundaries) of the feasible region. a. b. : POINTS: 1 DIFFICULTY: ...
CH 05  Advanced Linear Programming Applications. Questions and Answers
/ 1. Revenue management methodology was originally developed for the banking industry. a. b. ANSWER: POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.05.02  5.2 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 5.2 Revenue Management KEYWORDS: Bloom's: Remember 2. The goal of portfolio models is to create a portfolio that provides the best balance between risk and return. a. b. ANSWER: POINTS: 1 DIFFICULTY: Easy LEARNI...
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CH 05  Advanced Linear Programming Applications. Questions and Answers
Last document update: ago/ 1. Revenue management methodology was originally developed for the banking industry. a. b. ANSWER: POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.05.02  5.2 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 5.2 Revenue Management KEYWORDS: Bloom's: Remember 2. The goal of portfolio models is to create a portfolio that provides the best balance between risk and return. a. b. ANSWER: POINTS: 1 DIFFICULTY: Easy LEARNI...
CH 17  Linear Programming: Simplex Method. Questions and Answers
True / False 1. When a system of simultaneous equations has more variables than equations, there is a unique solution. a. True b. False 2. In order to determine a basic solution, set n − m of the variables equal to zero, and solve the m linear constraint equations for the remaining m variables. a. True b. False 3. A basic feasible solution also satisfies the nonnegativity restriction. a. True b. False 4. The simplex method is an iterative procedure for moving f...
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CH 17  Linear Programming: Simplex Method. Questions and Answers
Last document update: agoTrue / False 1. When a system of simultaneous equations has more variables than equations, there is a unique solution. a. True b. False 2. In order to determine a basic solution, set n − m of the variables equal to zero, and solve the m linear constraint equations for the remaining m variables. a. True b. False 3. A basic feasible solution also satisfies the nonnegativity restriction. a. True b. False 4. The simplex method is an iterative procedure for moving f...
Chamberlain College Of Nursing:MATH 225N Week 8 Latest Questions with Answers–Performing Linear Regressions with Technology (Graded A)
Chamberlain College Of Nursing:MATH 225N Week 8 Latest Questions with Answers–Performing Linear Regressions with Technology (Graded A)
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Chamberlain College Of Nursing:MATH 225N Week 8 Latest Questions with Answers–Performing Linear Regressions with Technology (Graded A)
Last document update: agoChamberlain College Of Nursing:MATH 225N Week 8 Latest Questions with Answers–Performing Linear Regressions with Technology (Graded A)
CH 04  Linear Programming Applications in Marketing, Finance, and OM. All Questions and Answers
/ 1. Media selection problems can maximize exposure quality and use number of customers reached as a constraint, or maximize the number of customers reached and use exposure quality as a constraint. a. b. : POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.04.01  4.1 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 4.1 Marketing Applications KEYWORDS: Bloom's: Remember 2. Linear programming is appropriate for financial problem situat...
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CH 04  Linear Programming Applications in Marketing, Finance, and OM. All Questions and Answers
Last document update: ago/ 1. Media selection problems can maximize exposure quality and use number of customers reached as a constraint, or maximize the number of customers reached and use exposure quality as a constraint. a. b. : POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.04.01  4.1 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 4.1 Marketing Applications KEYWORDS: Bloom's: Remember 2. Linear programming is appropriate for financial problem situat...
SV Linear Algebra
Summary of all concepts and definitions given in the course Linear Algebra in period 2 of the first year of DKE.
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SV Linear Algebra
Last document update: agoSummary of all concepts and definitions given in the course Linear Algebra in period 2 of the first year of DKE.
Chamberlain College Of Nursing:MATH 225N Week 8 Latest Questions with Answers–Performing Linear Regressions with Technology (Graded A)
MATH 225N Week 8 Questions with Answers – Performing Linear Regressions with Technology An amateur astronomer is researching statistical properties of known stars using a variety of databases. They collect the absolute magnitude or MV and stellar mass or M⊙for 30 stars. The … absolute magnitude of a star is the intensity of light that would be observed from the star at a distance of 10 parsecs from the star. This is measured in terms of a particular band of the light spectrum, indicated ...
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Chamberlain College Of Nursing:MATH 225N Week 8 Latest Questions with Answers–Performing Linear Regressions with Technology (Graded A)
Last document update: agoMATH 225N Week 8 Questions with Answers – Performing Linear Regressions with Technology An amateur astronomer is researching statistical properties of known stars using a variety of databases. They collect the absolute magnitude or MV and stellar mass or M⊙for 30 stars. The … absolute magnitude of a star is the intensity of light that would be observed from the star at a distance of 10 parsecs from the star. This is measured in terms of a particular band of the light spectrum, indicated ...
CH 08  Nonlinear Optimization Models. Questions and Answers
True / False 1. A nonlinear optimization problem is any optimization problem in which at least one term in the objective function or a constraint is nonlinear. a. True b. False : True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.08.01  8.1 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 8.1 A Production Application—Par, Inc., Revisited KEYWORDS: Bloom's: Remember 2. A function is considered a quadratic function if its nonlinear t...
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CH 08  Nonlinear Optimization Models. Questions and Answers
Last document update: agoTrue / False 1. A nonlinear optimization problem is any optimization problem in which at least one term in the objective function or a constraint is nonlinear. a. True b. False : True POINTS: 1 DIFFICULTY: Easy LEARNING OBJECTIVES: IMS.ASWC.19.08.01  8.1 NATIONAL STANDARDS: United States  BUSPROG: Reflective Thinking TOPICS: 8.1 A Production Application—Par, Inc., Revisited KEYWORDS: Bloom's: Remember 2. A function is considered a quadratic function if its nonlinear t...
MAT1503 OctNov 2018 Memo
UNISA MAT1503 Linear Algebra October November 2018 examination memorandum. Full step by step solutions to exam.
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MAT1503 OctNov 2018 Memo
Last document update: agoUNISA MAT1503 Linear Algebra October November 2018 examination memorandum. Full step by step solutions to exam.