Abstract: The linearly constrained simulation optimization problem entails optimizing an objective function that is evaluated, approximately, through stochastic simulation, where the ...
If you need support for a new econometric algorithm or have an idea for an implementation, please submit your request via GitHub Issues. After evaluation, we'll add it to our DEVPLAN for future ...
Abstract: Convex optimization algorithms are increasingly used in embedded trajectory planning for safety-critical systems, requiring verification to meet safety standards. Previous research has shown ...
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