This letter proposes a machine learning-based linear programming model that quickly establishes the nonparametric prediction intervals of wind power by integrating extreme learning machine and ...

We develop and analyze methods for computing provably optimal maximum a posteriori probability (MAP) configurations for a subclass of Markov random fields defined on graphs with cycles. By decomposing ...

Find out what's on when with our full programme schedule. News for Wales on your smart speaker Play BBC News for Wales for the latest headlines ...

python book optimization ampl linear-programming milp modeling-language nonlinear-optimization nonlinear-programming mip mixed-integer-programming linear-optimization integer-linear-programming ...