Computational complexity and equilibrium analysis form an interrelated field at the crossroads of theoretical computer science and game theory. Researchers in this area investigate the intrinsic ...

Design, analysis, and application of computing algorithms. Students will practice algorithm design to solve complex computing problems. Exploration of algorithmic paradigms such as greedy algorithms, ...

Resource-aware program analysis and complexity estimation have become pivotal in modern software engineering, where understanding and verifying the quantitative resource consumption of computer ...

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...

Development of more sophisticated ideas in data type and structure, with an introduction to the connection between data structures and the algorithms they support. Data abstraction. Controlled access ...

An algorithm is proposed for performing harmonic analysis of tonal music. The algorithm begins with a representation of a piece as pitches and durations; it generates a representation in which the ...

A machine-learning algorithm can register brain scans and other 3D images more than 1000 times faster than traditional systems. (Courtesy: the researchers) Medical image registration involves ...