Question

Non-negative condition in an LP model
implies
Options
Non-negative value of Linear program
Positive coefficient of variables in objective
function
O Non-negative value of ourse
Positive coefficient of variables in any
constraint​

Answer 1

Answer:

Non-negativity condition in an LP model implies.

A. A positive coefficient of variables in objective function

B. A positive coefficient of variables in any constraint

C. Non-negative value of resources

D. None of the above

Answer: Option D

Solution(By Examveda Team)

Non-negativity restriction indicates that all decision variables must take on values equal to or greater than zero.

Answer 2

Non-negative value of Linear program - the first option is correct.

Non-negativity restriction indicates that all decision variables must take on values equal to or greater than zero.

Constraints of Non-Negativity x>=0 and y>=0 are linear inequalities. These are included because x and y are generally the number of objects created, and you can't make a negative number of items; the least number you can make is zero.

Limitations, Requirements, and Balancing Limitations and Requirements are all examples of constraints in an LP model.

The variables must also meet the non-negativity requirement, which means they cannot be negative. The feasible set is a collection of points, or variable values, that meet the constraints and the non-negativity criterion.