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Q1. A non-linear programming model is generally characterized by a - A gradient solution algorithm - Global optimal solution - Non-linear objective and/or non-linear constraint

Q1. A non-linear programming model is generally characterized by a

- A gradient solution algorithm

- Global optimal solution

- Non-linear objective and/or non-linear constraint

- Non-linear decision variables

Q2. An objective function of the form Minimize |3x1+4x2| - Is a smooth function and is solvable using heuristics

- Is a smooth function and not solvable using heuristics

- Is a non-smooth function and is not solvable using heuristics

- Is a non-smooth function and is solvable using heuristics

Q3.A useful approach for characterizing the relationship among different variables in a model is

- Scatterplot

- Dendogram

- Flowchart

- Influence Diagram

Q4. The purpose of using optimization models for decision-making is

- to identify how the decision changes due to uncertainty in controllable parameters

- to identify how the decision changes the optimal solution - to identify the best possible decision

- to identify the solution that best characterizes the organization

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