Because the list based, functional toolbox of Raku is not enough to calculate matrices comfortably, there is a need for a dedicated data type. The aim is to provide a full featured set of structural ...

This chapter helps the readers to understand the data, data structures used to contain it, and the manner in which they can perform simple tasks with those structures and to perform scalar, vector, ...

A general math framework to make using math easy. Currently supports function solving and optimisation, matrix and vector algebra, complex numbers, big int, big frac, big rational, graphs and general ...

Performing math on multidimensional arrays very efficiently. For example, the Strassen algorithm uses fast matrix math on large matrices. See multidimensional array. THIS DEFINITION IS FOR PERSONAL ...

Communication and dominance matrices are used to represent relationships. Communication matrices capture the links or interactions between an individual or group, while dominance matrices represent ...

Transition matrices provide a method for modelling and analysing systems that change over time. They are applied in areas such as managing inventory and logistics, studying the impact of marketing on ...

The challenge of speeding up AI systems typically means adding more processing elements and pruning the algorithms, but those approaches aren’t the only path forward. Almost all commercial machine ...