The linear inequalities or equations or restrictions on the variables of a linear programming problem are called- The conditions x - 0- y - 0 are called-A- Objective functions- non-negative restrictionsB- Constraints- non-negative restrictionsC- Objective functions- optimal valueD- Constraints- negative restrictions

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The linear inequalities or equations or restrictions on the variables of a linear programming problem are called...... The conditions x ≥ 0, y ≥ 0 are called.......

Objective functions, non-negative restrictions

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Constraints, non-negative restrictions

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Objective functions, optimal value

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Constraints, negative restrictions

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Solution

The correct option is B
Constraints, non-negative restrictions

The linear inequalities or equations or restrictions on the variables of a linear programming problem are called constraints. The conditions ≥ 0, ≥ 0 are called non-negative restrictions.

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Q. The common region determined by all the constraints including the non-negative constraints x ≥ 0 and y ≥ 0 of a linear programming problem is called

The common region determined by all the constraints including non-negative constraints x, y ≥ 0 of a linear programming problem is called the ……...

Let R be the feasible region (convex polygon) for a linear programming problem and let,

Z = + be the objective function. When Z has an optimal value (maximum or minimum), where the variables and are subject to constraints described by linear inequalities, this optimal value must occur at ____________of the feasible region.

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The linear inequalities or equations or restrictions on the variables of a linear programming problem are called...... The conditions x ≥ 0, y ≥ 0 are called.......

The correct option is B Constraints, non-negative restrictions The linear inequalities or equations or restrictions on the variables of a linear programming problem are called constraints. The conditions ≥ 0, ≥ 0 are called non-negative restrictions.

The correct option is B
Constraints, non-negative restrictions

The linear inequalities or equations or restrictions on the variables of a linear programming problem are called constraints. The conditions ≥ 0, ≥ 0 are called non-negative restrictions.