In some nonlinear models,Solver will find the optimal solution only if the starting solution is reasonably close to the optimal solution.

Question

Quizplus · Accepted Answer

Nonlinear models can have multiple local optima and the Solver algorithm relies on starting with an initial solution close to the global optimum to converge towards it. Otherwise, it may converge towards a suboptimal solution or fail to converge at all. Therefore, having a starting solution reasonably close to the optimal solution is important for Solver to find the optimal solution in nonlinear models.

In Some Nonlinear Models,Solver Will Find the Optimal Solution Only