Question: 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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