A neurodynamic duplex neural network method solves distributionally robust geometric joint chance-constrained problems by converging in probability to the global optimum via projection equations.
Solving profit maximization problem in case of the cobb-douglas production function via weighted ag inequality and geometric programming
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Distributionally Robust Geometric Joint Chance-Constrained Optimization: Neurodynamic Approaches
A neurodynamic duplex neural network method solves distributionally robust geometric joint chance-constrained problems by converging in probability to the global optimum via projection equations.