algorithm – by Yubo "Paul" Yang
Compressive sensing takes advantage of sparsity to reconstruct full signal from sparse samples in a way that is not limited by Nyquist-Shannon. It effectively performs compression at the time of sensing so that few detector/sensors are needed. It has many practical applications such as single-pixel camera, digital-to-analog conversion, and lattice dynamics in atomic simulations. Read More ›
algorithm – by Eli Chertkov
Coupling from the past is an algorithm to generate perfect samples from a Markov chain (MC). It provides a measure of the mixing time M of the MC and in general scales as O(4MN), where N is the total number of states. Read More ›
algorithm – by Ryan Levy
Percolation transition can be detected by algorithm. Read More ›
algorithm – by Kevin Ly
DSATUR (degree of saturation) is a heuristic, easy-to-follow algorithm for coloring simple graphs. Read More ›
algorithm – by Alina Kononov
How to automatically generate your thesis. Read More ›