Final answer:
If Solver attempts the maximum number of iterations without the objective cell converging to an answer, the assumption is that the solution is infeasible or not possible within the given constraints.
Step-by-step explanation:
If Solver attempts the maximum number of iterations without the objective cell converging to an answer, it means that the solution is not converging or reaching a stable solution. This often happens when the problem is infeasible or when there is no feasible solution that satisfies all the constraints.
For example, consider a linear programming problem where you are trying to maximize an objective function subject to a set of linear constraints. If the problem is infeasible, it means that there is no solution that satisfies all the constraints. In this case, Solver will not be able to find a solution even after the maximum number of iterations.
Therefore, if Solver fails to converge to an answer despite exhausting the maximum number of iterations, the assumption is that the solution is infeasible or not possible within the given constraints.
The solverIterationCount determines how accurately joints and contacts are resolved. If you are having trouble with connected bodies oscillating and behaving erratically setting a higher solver iteration count may improve their stability (but is slower). Usually a value of 7 works very well for almost all situations.