Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...

Some readers are fed up with me! “Don’t guilt trip me” is a refrain I heard from many readers of my recent columns from West Africa and South Sudan about children dying because of cuts in American ...

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 ...

The ability to solve complex problems effectively has become a defining factor for success. Yet, despite the abundance of tools and methodologies available, I've noticed organizations often struggle ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

Palo Alto, California-based D-Wave Quantum Inc. claims to be the first company that sells computers that leverage quantum effects in their operation. The company recently demonstrated how its quantum ...

Rob De La Espriella is the creator of BlueDragon, a problem-solving system used by the US national laboratories and nuclear facilities. United States businesses are silently hemorrhaging trillions of ...

Abstract: A new approach to solving optimization problems in the field of machine learning is considered. The greatest complexity among such problems is the problem of gradient search for the optimum ...