Constrained Estimation Using Program Code ... If the optimization problem is not too large to apply the Levenberg-Marquardt or Newton-Raphson algorithm, boundary constraints should be requested by the ...

This model is an example of a constraint optimization problem. Considering a constraint of an integer programming model where all the decision variables in the constraint are binary, the goal is to ...

This codebase implements the ensembling algorithms in Model Ensembling for Constrained Optimization by Ira Globus-Harris, Varun Gupta, Michael Kearns, and Aaron Roth. If you use this code, please cite ...

My research is concerned with developing Constraint Programming methodology for Intelligent Systems applications. The methodology includes constraint solving algorithms, systematic and heuristic ...

Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems.

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...

Increasing employment of chip multiprocessors in embedded computing platforms requires a fresh look at conventional code parallelization schemes. In particular, any compiler-based parallelization ...