COMP_SCI 437: Approximation Algorithms VIEW ALL COURSE TIMES AND SESSIONS Prerequisites COMP_SCI 212 and COMP_SCI 336 (or similar courses) or CS MS or CS PhDs Description This course studies ...

Greedy bases are those bases where the Thresholding Greedy Algorithm (introduced by S. V. Konyagin and V. N. Temlyakov) produces the best possible approximation up to a constant. In 2017, P. M. Berná ...

Through collaboration with colleagues in areas such as Computer Science, Biology, Oceanography and Statistics, researchers in the Algorithms and Bioinformatics cluster develop tools that have gained ...

[3] Distributed Methods for Computing Approximate Equilibria. Algorithmica (2018). [4] New algorithms for approximate Nash equilibria in bimatrix games. Theoretical Computer Science (2010).

Brief Description of Course Content Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and ...

As a computer scientist, your knowledge of programming techniques and specific application domains allows you to design and develop programs and computer systems. Stimulate the senses. Engage the mind ...

What is an algorithm? Algorithms are one of the four cornerstones of Computer Science. An algorithm is a plan, a set of step-by-step instructions to solve a problem.

Such algorithms find approximate (slightly suboptimal) solutions to optimization problems in polynomial time. Unlike heuristics, approximation algorithms have provable performance guarantees: they ...

Algorithmica (2018). [4] New algorithms for approximate Nash equilibria in bimatrix games. Theoretical Computer Science (2010). Back to "Microeconomic Theory" ...