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 ...

This paper describes a simple algorithm for the solution of very large sequence problems without the use of a computer. It produces approximate solutions to the n job, m machine sequencing problem ...

In this article, I want to provide a simple guide that explains reinforcement learning and give you some practical examples of how it is used today.

One fact about machine learning and data algorithms that may surprise business users is that there aren’t that many of them.

Iteration is the process of repeating steps. For example, a very simple algorithm for eating breakfast cereal might consist of these steps: put cereal in bowl add milk to cereal spoon cereal and ...