Question 1

The linear function of the variables which is to be maximize or minimize is called

Accepted Answer

A) constraints 
B) objective function 
C) decision variable 
D) none of the above 
A) constraints 
B) objective function 
C) decision variable 
D) none of the above

Question 2

The value of objective function is maximum under linear constraints

Accepted Answer

A) at the center of feasible region 
B) at (0,0) 
C) at any vertex of feasible region 
D) the vertex which is at maximum distance from (0, 0) 
A) at the center of feasible region 
B) at (0,0) 
C) at any vertex of feasible region 
D) the vertex which is at maximum distance from (0, 0)

Question 3

A feasible solution of LPP

Accepted Answer

A) must satisfy all the constraints simultaneously 
B) need not satisfy all the constraints, only some of them 
C) must be a corner point of the feasible region 
D) all of the above 
A) must satisfy all the constraints simultaneously 
B) need not satisfy all the constraints, only some of them 
C) must be a corner point of the feasible region 
D) all of the above

The linear function of the variables which is to be maximize or minimize is called

The value of objective function is maximum under linear constraints

A feasible solution of LPP

Ratio and Proportion Problems

Mathematical Problems on Fractions, Ratios, and Percentages

Mathematical Problems for Profit and Loss

Simple Interest and Installment Calculations

Linear Programming LP Model and Techniques

Operations Research and Transportation Problem: An Exploration of Constraints, Optimization, and Feasible Solutions

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Exam 5: Linear Programming and Operation Research Analysis

The linear function of the variables which is to be maximize or minimize is called

The value of objective function is maximum under linear constraints

A feasible solution of LPP

Ratio and Proportion Problems

Mathematical Problems on Fractions, Ratios, and Percentages

Mathematical Problems for Profit and Loss

Simple Interest and Installment Calculations

Linear Programming LP Model and Techniques

Operations Research and Transportation Problem: An Exploration of Constraints, Optimization, and Feasible Solutions

Filters