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Theory of Computation offers a rigorous mathematical framework that underpins our understanding of what can be computed and how efficiently these computations may be performed. It encompasses ...
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 ...
Ashutosh Trivedi is an Associate Professor of computer science at the University of Colorado Boulder. His researchinterests lie at the intersection of computer science, control theory, and machine ...
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 ...
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 ...
This is a preview. Log in through your library . Abstract In the game theory approach to the problem of allocating cost, the users of a facility are viewed as players in a cooperative n-person game.
A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...
This course covers polynomial-time hierarchy and polynomial space, circuit complexity, structure of NP, probabilistic machines and complexity classes, complexity of counting, interactive proof systems ...
Northwestern is a world leader in the design of soft materials, and the Center for Computation and Theory of Soft Materials (CCTSM) is at the forefront of this effort. Providing computational ...
Soon after it was released a few short years ago, I began to delve into Steven Wolfram's new book, "A Fundamental Theory of Physics." I have followed his work since the early '90s when I first used ...
Computational neuroscientists have developed a computational model that provides insight into the function of the brain's visual cortex and the information processing that enables people to perceive ...