MLP solver is a heuristic method. A local optimum is better than all nearby points. An optimization problem can only have one local optimal solution. A global optimum is the best point in the entire feasible region. An optimization problem can only have one global optimal solution. For linear optimization problems any local optimal solution is a global optimal solution. For some nonlinear programming problems, Solver can get stuck at a local optimum and never find the global optimum. Forsomelinearprogrammingproblems,Solvercangetstuckatalocaloptimumandnever find the global optimum. Solver is guaranteed to find the global optimum for convex nonlinear optimization problems. A heuristic is a relatively simple solution method that often provides good but not necessarily optimal solutions.
1. For each statement specify whether it is True or False?
- MLP solver is a heuristic method.
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A local optimum is better than all nearby points.
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An optimization problem can only have one local optimal solution.
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A global optimum is the best point in the entire feasible region.
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An optimization problem can only have one global optimal solution.
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For linear optimization problems any local optimal solution is a global optimal solution.
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For some nonlinear programming problems, Solver can get stuck at a local optimum and never find the global optimum.
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Forsomelinearprogrammingproblems,Solvercangetstuckatalocaloptimumandnever find the global optimum.
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Solver is guaranteed to find the global optimum for convex nonlinear optimization problems.
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A heuristic is a relatively simple solution method that often provides good but not necessarily optimal solutions.
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MLP solver is a heuristic method.
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