Graph theory has long provided a robust mathematical framework for investigating networks, relations and connectivity in both abstract and applied settings. Recent advances have markedly refined our ...

In computational complexity theory, P and NP are two classes of problems. P is the class of decision problems that a deterministic Turing machine can solve in polynomial time. In useful terms, any ...

Complexity theory is a fundamental branch of theoretical computer science that categorises computational problems according to their inherent difficulty and the resources required to solve them. At ...

NEW YORK, August 16, 2018 - The 2018 Donald E. Knuth Prize will be awarded to Johan Torkel Håstad of the KTH Royal Institute of Technology (Sweden) for his long and sustained record of milestone ...

Avi Wigderson and László Lovász won for their work developing complexity theory and graph theory, respectively, and for connecting the two fields. When Avi Wigderson and László Lovász began their ...

Our research area encompasses the study of computation, computational models, computational complexity, algorithm design, algorithm verification, combinatorial optimization, computational biology and ...

Prof. Wang's current research interests include text mining algorithms and systems, data modeling and its applications, and combinatorial optimizations. His previous interests included large-scale ...

My past research has existed in the intersection of logic and descriptive set theory with computational complexity theory. Particular topics relevant to this research have centered around oracle ...

This is a preview. Log in through your library . Abstract In recent years, sparse principal component analysis has emerged as an extremely popular dimension reduction technique for high-dimensional ...