Question
In linear programming, objective function and objective constraints are:
✓
Answer
- Linear
In linear programming, objective function and objective constraints are linear.
Any linear programming problem must have the following properties:-1.
The relationship between variables and constraints must be linear 2.
The constraints must be non - negative.3.. objective function must be linear.
Need a full question paper?
Generate a complete, print-ready paper with questions like this in minutes — across 16+ boards, with answer keys.
Explore more
Similar questions
Let $X_1$ and $X_2$ are optimal solutions of a $LPP,$ then:
→Which of the following points satisfies both the inequations $2 x+y \leq 10$ and $x+2 y \geq 8$ ?
→A unit vector along the vector $4 \hat{i}-3 \hat{k}$ is
→Choose the correct answer from the given four options.
Let F = 3x - 4y be the objective function. Maximum value of F is:
Let F = 3x - 4y be the objective function. Maximum value of F is:
Let $f: R \rightarrow R$ be defined by $f(x)=x+|x|$. Then $f(x)$ is
→If $\text{A}=\displaystyle \begin{vmatrix} 2 &\text{amp;}-3 \\ 3 &\text{amp; 2} \end{vmatrix}$ and $\text{B}=\displaystyle \begin{vmatrix} 3 &\text{amp;}-2 \\ 2 &\text{amp; 3} \end{vmatrix}$ then $2\text{ A-B}=$
→- $\displaystyle \begin{vmatrix} 1 &4 \\ 4 &1\end{vmatrix}$
- $\displaystyle \begin{vmatrix} 1 &4 \\ 1 &4\end{vmatrix}$
- $\displaystyle \begin{vmatrix} 1 &-4 \\ 4 &1\end{vmatrix}$
- $\displaystyle \begin{vmatrix} 4 &1\\ 1 &4\end{vmatrix}$
The objective function Z = 4x + 3y can be maximised subjected to the constraints 3x + 4y ≤ 24, 8x + 6y ≤ 48, x ≤ 5, y ≤ 6, x, y ≥ 0
The three points ABC have position vectors (1, x, 3), (3, 4, 7) and (y, -2, -5) are collinear then (x, y):
- (2, -3)
- (-2, 3)
- (-2, -3)
- (2, 3)
Evaluate:$\int\left(3 \sin x-2 \cos x+4 \sec ^2 x-5 \operatorname{cosec}^2 x\right) d x$
→If $\text{A}=\begin{bmatrix} 1 & 0 & 1 \\ 0 & 0 & 1 \\ \text{a} & \text{b} & 2 \end{bmatrix},$ then $aI + bA + 2 A^2$ equals:
→