most citedSqueeze-and-Breathe Evolutionary Monte Carlo Optimisation with Local Search Acceleration and its application to parameter fitting

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.QM2011★ 4 cited

Squeeze-and-Breathe Evolutionary Monte Carlo Optimisation with Local Search Acceleration and its application to parameter fitting

Mariano Beguerisse-Diaz, Baojun Wang, Radhika Desikan +1

Motivation: Estimating parameters from data is a key stage of the modelling process, particularly in biological systems where many parameters need to be estimated from sparse and n…