The Min-Max algorithm is such a method in which the user searches for the global minimum and the local maximum successively. A comparison of algorithms for partially ordered isotonic regression is ...

The researchers are seeking to address these concerns and make QKD viable by introducing a new metric called "maximum number ...

J. A. Bennell, C. N. Potts, J. D. Whitehead, Local Search Algorithms for the Min-Max Loop Layout Problem, The Journal of the Operational Research Society, Vol. 53, No ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The data-driven revolution is prefaced upon the idea that data and algorithms can lead companies away from biased human judgement towards pristine mathematical perfection that captures the world ...