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MCQ 1: The overall goal stated as to represent the function of decision variable is best classified as:

  1. subset function
  2. objective function
  3. functional modeling
  4. programmed module

MCQ 2: The factors such as limitations of resources and all the conditions imposed by setting of problem are classified as:

  1. proportional constraints
  2. unstructured constraints
  3. structural constraints
  4. non-negativity constraints

MCQ 3: The non-negativity constraints implies that decision variable's will:

  1. not be negative
  2. not be positive
  3. must be positive
  4. must be negative

MCQ 4: The conditions needed to solve objective function and that are to be satisfied in linear programming are classified as:

  1. unsolved objectives
  2. solved objectives
  3. programming requirements
  4. subset objectives

MCQ 5: The types of constraints to maximize or minimize linear objective function does not include:

  1. structural constraints
  2. non-negativity constraints
  3. proportional constraints
  4. none of above

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