Set of values of decision variable which satisfied the constraint of linear programming
Correct answer: B. solution
- A. Vertex
- B. solution
- C. boundary
- D. none of these
Explanation
In linear programming, the set of values of decision variables that satisfy all the constraints is referred to as a solution. These solutions represent feasible points within the feasible region, meaning they adhere to all constraints while optimizing the objective function.
Report an error
The more specific you are, the faster it gets fixed. A source beats an opinion.
Prefer email? [email protected]
About Linear Equations
Linear equations contain variables only to the first power and produce straight-line relationships when represented graphically. Problems involve solving equations with brackets, fractions, and variables on both sides, forming equations from statements, and handling simultaneous linear equations, which differ from quadratic equations by having no squared variable.
Practise Algebra
269 free Algebra MCQs from Mathematics, each with the correct answer and an explanation. Unlimited attempts, no account needed.
Discussion
Stuck on an option, or know a faster way to get there? Ask or explain it here.
No comments yet. Be the first to explain this one.
Exams that ask Mathematics questions like this
Mathematics is on 76 papers prepared for on TestUstad, and all of them draw the same bank, so this question is worth knowing for every one of them.
More Linear Equations questions
A feasible region is always
The graph of a linear inequality with two variables represents,
The nonnegative constraints are also known as
The number of ordered pairs that satisfy the inequality is
A point which is used to determine position of half plane is called
Feasible region is region restricted to the quadrant.