A comprehensive C++ implementation of the theoretical framework presented in "Efficient Subspace Approximation Algorithms" by Shyamalkumar and Varadarajan, featuring advanced algorithmic optimizations ...

Abstract: Gaussian mixture models are a very useful tool for modeling data distribution. While estimating parameters using the expectation-maximization algorithm, this approach does not scale well ...

Note: This is the code implementation from a research paper two years ago. While the code structure might be relatively basic, its main innovation lies in successfully implementing a highly abstract ...

A separable assignment problem (SAP) is defined by a set of bins and a set of items to pack in each bin; a value, f, for assigning item j to bin i; and a separate packing constraint for each bin—i.e., ...

Transactions of the American Mathematical Society, Vol. 223 (Oct., 1976), pp. 103-131 (29 pages) This paper demonstrates a Remez exchange algorithm applicable to approximation of real-valued ...

Abstract: In scheduling theory, the non-preemptive scheduling on a single machine of jobs with increasing processing times and release dates for total completion time minimization is known to be a ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Mark Jerrum, Alistair Sinclair (UC Berkeley) and Eric Vigoda (Georgia Tech) received the Association for Computing Machinery (ACM) Test of Time Award at a virtual ceremony on Wednesday 23 June at the ...