The author presents a rapidly convergent algorithm to solve the general portfolio problem of maximizing concave utility functions subject to linear constraints. The algorithm is based on an iterative ...

Thanks to extremely rapid convergence of the Markov chain and simple posterior calculations, the algorithm is ready for use in real-world adaptive testing with running times fully comparable with ...

Simple algorithms have been used for computer-based decision making for decades.

It should also be easy to implement by clinical staff. With these considerations in mind, a simple algorithm was established for plerixafor utilization.

How to Help Clients Embrace the Use of AI in Financial Decisions Algorithm aversion is real, so it’s important for financial advisors to build trust.