Understand how approximation algorithms compute solutions that are guaranteed to be within some constant factor of the optimal solution. Develop a basic understanding of how linear and integer ...

Geometric optimisation and approximation algorithms form a vibrant research area that intersects computational geometry, combinatorial optimisation and algorithm design. Researchers are dedicated ...

The expectation-maximization (EM) algorithm is a powerful computational technique for locating maxima of functions. It is widely used in statistics for maximum likelihood or maximum a posteriori ...

Bruce L. Chalmers, The Remez Exchange Algorithm for Approximation With Linear Restrictions, Transactions of the American Mathematical Society, Vol. 223 (Oct., 1976), pp. 103-131 ...