The entertainment landscape continues to evolve rapidly, with streaming wars intensifying and traditional media companies ...

We first consider an attacker who is able to mount several multi-stage attacks on the organization: the defender’s objective is to select an optimal portfolio of security ... strong duality and Mixed ...

However, the enforcement of such constraints turns the futures portfolio optimization problem ... transformed problem model into a Multi-objective Non-linear Non Convex Constrained Fractional ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Additionally, advancements in pivoting strategies, exemplified by the development of the row pivoting method for linear programming ... Methods and Large-Scale Optimization Techniques Publication ...

The partnership provides Nitrogen users with direct access to a new portfolio optimization tool, powered by Artha, which will allow users to optimize their current client portfolios and models ...

First risk models in the industry to properly disentangle factor risk from idiosyncratic risk for better portfolio optimization and risk forecasting. New multi-asset-class risk models, produced on ...

Vodafone’s transformation strategy centers on four key pillars: portfolio optimization, customer experience, simplification, and growth acceleration. The company has made progress across all ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form ... Thus HiGHS can solve linear programming (LP) problems, convex quadratic ...