Question: When using the GRG algorithm to solve NLPs one should try multiple starting points because a random element of GRG requires multiple starting points. If

When using the GRG algorithm to solve NLPs one

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

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