Kipu Quantum and IonQ (NYSE: IONQ) announced what they said is a record achievement: the successful solution of "the most ...

First-order methods for solving quadratic programs (QPs ... support-vector machines (SVM), Lasso regression, Portfolio optimization, equality constrained, and random QP domains) on a broad class of ...

In our case, because the objective function is in the form of minimizing the power, it’s natural to consider it as a quadratic-programming (QP) problem. For example, you can use the quadprog function ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC today announced the release of Gurobi 9.0, the latest version of its industry-leading mathematical programming solver. Gurobi 9.0 ...

This paper explores the mathematics behind optimal portfolio construction when relative utility and risk are considered together in a general sense. I derive the portfolio optimization problems when ...

Abstract: This paper presents a neurodynamic optimization approach to bilevel quadratic programming (BQP). Based on the Karush-Kuhn-Tucker (KKT) theorem, the BQP problem is reduced ... Finally, three ...