When an objective function is nonlinear, any local optimum is also a global optimum.
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Q3: Nonlinear programming models have the same structure
Q4: Relationships in nonlinear programming models with two
Q5: A local optimum is a point in
Q6: A global optimum is a point in
Q7: When constraints are nonlinear, any local optimum
Q9: Formulation steps for nonlinear programming models are
Q10: The reduced gradient values in sensitivity analysis
Q11: The Lagrange multiplier values in sensitivity analysis
Q12: When solving linear or nonlinear programming models,
Q13: A modeler may check the "Use Multistart"
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