We recently looked at the SEC’s new proposals. As you may recall, their tick proposal seeks to address the tick-constrained stock problem, but is designed so most stocks would have between 4 and 8 (or ...

Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

Neural networks have emerged as a powerful framework for addressing complex problems across numerous scientific domains. In particular, the interplay between neural network models and constraint ...

Constrained optimisation problems are familiar to first-year economics students from the use of indifference curves to solve consumer choice and cost minimisation problems. But the most commonly used ...