Solver can get stuck at a global optimum and never find the local optimum.

Question

Quizplus · Accepted Answer

A solver aims to find the global optimum, which is the best possible solution. Getting "stuck" at a global optimum would mean it has successfully found the best solution, whereas finding a local optimum means it has found a solution that might not be the best overall but is the best within a nearby range of solutions. The concern is usually the opposite: solvers might get stuck at a local optimum and never find the global optimum.

Solver Can Get Stuck at a Global Optimum and Never