Moreover, the evolution of large-scale optimisation techniques has been closely linked with advances in numerical linear algebra ... improvements in both algorithm design and practical performance ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about ...

Regarding the nonlinearity of the model, grey wolf optimizer (GWO) and whale optimization ... exact algorithm validates their performance. The parameters of algorithms are calibrated using the Taguchi ...

Abstract: This paper considers the decentralized consensus optimization ... and second-order algorithms. Under the strong convexity assumption, we prove that our proposed algorithm converges to the ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad \textrm{s.t.}~ \quad L \leq Ax \leq ...