Asked by Rosario Martinez on Jun 11, 2024

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A linear programming problem has two constraints 2X + 4Y ≤ 100 and 1X + 8Y ≤ 100, plus nonnegativity constraints on X and Y. Which of the following statements about its feasible region is true?

A) There are four corner points including (50, 0) and (0, 12.5) .
B) The two corner points are (0, 0) and (50, 12.5) .
C) The graphical origin (0, 0) is not in the feasible region.
D) The feasible region includes all points that satisfy one constraint, the other, or both.
E) The feasible region cannot be determined without knowing whether the problem is to be minimized or maximized.

Feasible Region

In operations research and optimization, the set of all possible points that satisfy a set of constraints, representing viable solutions to a problem.

Nonnegativity Constraints

Restrictions in mathematical modeling that require certain variables to be greater than or equal to zero.

Statements

Financial records that provide an overview of a company's financial condition, including the balance sheet, income statement, and cash flow statement.

  • Ascertain the permissible zone for a linear programming challenge through graphical methods.
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Whitnee AbrielJun 14, 2024
Final Answer :
A
Explanation :
The feasible region of a linear programming problem is defined by the intersection of all constraints, including nonnegativity constraints. The constraints 2X + 4Y ≤ 100 and 1X + 8Y ≤ 100, along with X ≥ 0 and Y ≥ 0, form a polygon on the coordinate plane. The corner points of this polygon can be found by solving the system of equations formed by the intersection of these lines, including the axes. (50, 0) and (0, 12.5) are points where each constraint intersects an axis, indicating they are corner points of the feasible region. There are typically four corner points in such a bounded region: where each constraint intersects the axes and where the constraints intersect each other, plus the origin if it's included within the constraints, which it is in this case since both X and Y can be 0 and still satisfy all constraints.