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Our aim is to design an algorithm that is not based on heuristic steps, it does not use information on the event function and preserves the order known for regular systems.
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This heuristic is based on Heuristic 2, where we dynamically increase the number of allowed recursions as needed.
Today, predicting that surgery outcome is essentially based on heuristic.
Only optimal control approaches were proposed based on heuristic rules.
All the above algorithms are based on heuristic methods, not mathematical formulations.
Algorithms based on heuristic approaches reduce the effort in parameter identification and computation time.
The other one is based on heuristics.
The criteria for time step cutting and selection are usually based on heuristics that limit the allowable change in the solution over a time step and/or NR iteration.
In the first step, different process options are generated based on heuristics and engineering judgement and screened for feasibility.
Therefore, some protocols based on heuristics have been proposed.
The second algorithm alleviates the computational effort based on heuristics.
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