Business Mathematics MCQs - Chapter 5
Linear Programming: An Introduction Quiz Questions & Answers PDF Download - 3
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Linear Programming An Introduction Exam Questions and Answers PDF Download: Test 3
The specific combination of decision variables to specify non-negativity and structural constraints is classified as
- optimal solution candidates
- minimal solution candidate
- maximum solution candidate
- ordinate solution candidate
The shaded area to represent solution set is classified as
- closed half space
- open half space
- positive full space
- negative full space
The linear inequalities are graphically represented on the Cartesian plane by a
- negative full space
- closed half space
- open half space
- positive full space
The objective function solution set containing points which has no bound over it is considered as
- multiple point solution
- single point solution
- unbounded solution
- bounded solution
In profit objective function, all the lines representing same level of profit are classified as
- iso-objective lines
- iso-function lines
- iso-profit lines
- iso-cost lines
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Cost Accounting Mock Tests
Business Mathematics Practice Questions
Cost Accounting MCQ with Answers
- Estimation of cost functions of an ignoring information from all points, but considering two observation points, can be classified as
- First step in constant gross margin percentage, Net realizable value (NRV) method is to allocate joint, to compute
- Cost of product failure, error prevention and appraisals can be classified under
- In quantitative analysis to estimate cost function, fourth step is to
- Competitiveness can be best measured by
Linear Programming: An Introduction MCQ Book Questions
- Specific combination of decision variables to specify non-negativity and structural constraints is classified as
- Overall goal stated as to represent function of decision variable is best classified as
- Non-negativity constraints implies that decision variable's will
- Linear programming model which involves funds allocation of limited investment is classified as
- Types of constraints to maximize or minimize linear objective function does not include