Question
Objective function of a LPP is:
- a constraint
- a function to be optimized
- a relation between the variables
- none of these
Solution:
The objective function of a linear programming problem is either to be maximized or minimized i.e. objective function is to be optimized.
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$\mathrm{F}(\mathrm{x})=\int\limits_{1}^{\mathrm{x}} \mathrm{t}^{2} \mathrm{g}(\mathrm{t}) \mathrm{dt},$ where $\mathrm{g}(\mathrm{t})=\int\limits_{1}^{\mathrm{t}} \mathrm{f}(\mathrm{u}) \mathrm{du}$
Then for the function $\mathrm{F}$, the point $\mathrm{x}=1$ is