Should algorithms exist purely to serve users, or are we slowly becoming the product, shaped and steered by forces we rarely understand? The next time your phone seems to "know" exactly what you want, ...

Some types of predictive analytics software use machine learning to revise algorithms based on learnings from the data collected over time, continuously improving prediction accuracy.

Based on the spatial structure correlation in different geophysical parameters, we propose a new 3-D joint inversion method for frequency-domain airborne electromagnetic (AEM) and airborne magnetic ...

Algorithms implemented in the Data Structures and Algorithm Complexity discipline.

The effectiveness of the candidate clustering algorithms is measured through a number of internal and external validity metrics, stability, runtime, and scalability tests. In addition, we highlighted ...

A comprehensive library of data structures and algorithms implemented in OCaml. This library is designed for educational purposes to demonstrate how common data structures and algorithms can be ...