An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

The graph below shows the total number of publications each year in Computational Complexity and Equilibrium Analysis. References [1] A Branch-and-Bound Algorithm for Polymatrix Games ϵ-Proper ...

Analytical chemistry researchers at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) have ...

In this module, we will learn randomized pivot selection for quicksort and quickselect. We will learn how to analyze the complexity of the randomized quicksort/quickselect algorithms. We will learn ...

The algorithm is dynamically adapted for maximum cost effectiveness by tuning the closed-loop system in real time, which means after every single measurement. 1,2 Figure 1. Adaptive testing’s ...

Its Quantum Principal Component Analysis (QPCA) reduces the time complexity of high-dimensional data feature extraction from O(N²) in classical algorithms to O(N), with energy consumption only 1 ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...