When using the GRG algorithm to solve NLPs one should try multiple starting points because
A) If two different starting points return the same solution, that solution is optimal.
B) the solution returned depends upon the starting point.
C) the solution returned is always near the starting point.
D) a random element of GRG requires multiple starting points.

Question

Quizplus · Accepted Answer

The solution returned by GRG algorithm depends on the starting point. Trying multiple starting points can provide a range of solutions and increase the likelihood of finding the global optimum solution.

When Using the GRG Algorithm to Solve NLPs One Should