Question 1

Evaluate the determinant   .

Accepted Answer

The answer of Evaluate the determinant   ....

Question 2

An n × m matrix,when multiplied by an m × p matrix,yields

Accepted Answer

A) an n × m × m × p matrix. 
B) an n × m × p matrix. 
C) an n × p matrix. 
D) a p matrix. 
E) None of the above 
A) an n × m × m × p matrix. 
B) an n × m × p matrix. 
C) an n × p matrix. 
D) a p matrix. 
E) None of the above

Question 3

We can always perform the matrix multiplication AA.

Accepted Answer

A) True 
 B)False

Question 4

Find the inverse of   .

Accepted Answer

no inverse

Question 5

Multiply the matrix   by   .

Accepted Answer

The answer of Multiply the matrix   by ...

Question 6

The correct determinant value for the determinant   would be

Accepted Answer

A) (8)(4)(3)(6). 
B) (8)(4)+ (3)(6). 
C) (8)(4)- (3)(6). 
D) (8)(3)- (6)(4). 
E) (8)(6)- (3)(4). 
A) (8)(4)(3)(6). 
B) (8)(4)+ (3)(6). 
C) (8)(4)- (3)(6). 
D) (8)(3)- (6)(4). 
E) (8)(6)- (3)(4).

Question 7

Describe the adjoint.

Accepted Answer

Adjoint is the trans

Question 8

Evaluate the determinant   .

Accepted Answer

The answer of Evaluate the determinant   ....

Question 9

-   =

Accepted Answer

A)    
B)    
C)    
D)    
E) None of the above 
A)    
B)    
C)    
D)    
E) None of the above

Question 10

The value of the determinant   is

Accepted Answer

A) 6243. 
B) 24. 
C) 15. 
D) 10. 
E) None of the above 
A) 6243. 
B) 24. 
C) 15. 
D) 10. 
E) None of the above

Question 11

Describe a matrix.

Accepted Answer

an array of numbers,

Question 12

A cofactor of a matrix is the set of numbers that remains after a given row and column have been removed from a matrix.

Accepted Answer

A) True 
 B)False

Question 13

Evaluate the determinant   .

Accepted Answer

The answer of Evaluate the determinant   ....

Question 14

A matrix multiplied by its inverse is always equal to the identity matrix.

Accepted Answer

A) True 
 B)False

Question 15

An n × m matrix,when multiplied by an m × n matrix,yields

Accepted Answer

A) an n × m matrix. 
B) an m × n matrix. 
C) an n × n matrix. 
D) an n × m × n matrix. 
E) None of the above 
A) an n × m matrix. 
B) an m × n matrix. 
C) an n × n matrix. 
D) an n × m × n matrix. 
E) None of the above

Question 16

=

Accepted Answer

A)    
B)    
C)    
D)    
E) None of the above 
A)    
B)    
C)    
D)    
E) None of the above

Question 17

We cannot multiply an n × m matrix by an m × 1 matrix.

Accepted Answer

A) True 
 B)False

Question 18

Evaluate the determinant below.

Accepted Answer

The answer of Evaluate the determinant below.  ...

Question 19

The value of the determinant of the following matrix is 7.

Accepted Answer

A) True 
 B)False

Question 20

Matrices can be used by television station executives to describe the channel switching behavior of their eight o'clock TV news audience.

Accepted Answer

A) True 
 B)False

Exam 20: Mathematical Tools: Determinants and Matrices

Evaluate the determinant .

An n × m matrix,when multiplied by an m × p matrix,yields

We can always perform the matrix multiplication AA.

Find the inverse of .

Multiply the matrix by .

The correct determinant value for the determinant would be

Describe the adjoint.

Evaluate the determinant .

- =

The value of the determinant is

Describe a matrix.

A cofactor of a matrix is the set of numbers that remains after a given row and column have been removed from a matrix.

Evaluate the determinant .

A matrix multiplied by its inverse is always equal to the identity matrix.

An n × m matrix,when multiplied by an m × n matrix,yields

=

We cannot multiply an n × m matrix by an m × 1 matrix.

Evaluate the determinant below.

The value of the determinant of the following matrix is 7.

Matrices can be used by television station executives to describe the channel switching behavior of their eight o'clock TV news audience.

Introduction to Quantitative Analysis

Probability Concepts and Applications

Decision Analysis

Regression Models

Forecasting

Inventory Control Models

Linear Programming Models: Graphical and Computer Methods

Linear Programming Applications

Transportation,assignment,and Network Models

Integer Programming,goal Programming,and Nonlinear Programming

Project Management

Waiting Lines and Queuing Theory Models

Simulation Modeling

Markov Analysis

Statistical Quality Control

Analytic Hierarchy Process

Dynamic Programming

Decision Theory and the Normal Distribution

Game Theory

Calculus-Based Optimization

Linear Programming: The Simplex Method

Transportation, Assignment, and Network Algorithms

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