A moat forms through governed trade-offs sustained over time—knowing what to protect, what to sacrifice and what must never ...

In the first ever Q4Bio Challenge, research teams sought to demonstrate scalable quantum algorithms for healthcare, with Algorithmiq's work alongside Cleveland Clinic and IBM earning $2 million Q4Bio ...

ABSTRACT: This study presents a modified primal-dual interior point method (MPD-IPM) for solving convex quadratic optimization problems. The modification is performed through linearization of the ...

👉Learn how to solve quadratic equations by factoring when a is equal to 1. A quadratic is an algebraic expression having 2 as the highest power of its variable(s). To factor an algebraic expression ...

1 Department of Applied Mathematical Sciences, Faculty of Computing, Engineering and Mathematical Sciences, Catholic University of Ghana, Sunyani, Ghana. 2 Department of Mathematics, School of ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

Abstract: The quadratic multiple knapsack problem (QMKP) is a well-studied problem in operations research. This problem involves selecting a subset of items that maximizes the linear and quadratic ...

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...

Abstract: In this article, we study a Grover-type method for quadratic unconstrained binary optimization (QUBO) problems. For an $n$-dimensional QUBO problem with $m ...