For an optimisation problem, a point is a global optimum if there are no other feasible points with a better objective function value.Group of answer choicesTrueFalse
Question
For an optimisation problem, a point is a global optimum if there are no other feasible points with a better objective function value.Group of answer choicesTrueFalse
Solution
The correct answer is "True."
Explanation:
In optimization, a point is considered a global optimum if it represents the best possible solution to the problem. This means that there are no other feasible points that would result in a better objective function value.
For a maximization problem, a global optimum is the highest point in the feasible region where the objective function is maximized. For a minimization problem, a global optimum is the lowest point in the feasible region where the objective function is minimized.
Therefore, the statement "For an optimization problem, a point is a global optimum if there are no other feasible points with a better objective function value" is true.
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