The covariance matrix adaptation evolution strategy (CMA-ES) is arguably one of the most powerful real-valued derivative-free optimization algorithms, finding many applications in machine learning. The CMA-ES is a Monte Carlo method, sampling from a sequence of multi-variate Gaussian distributions. Given the function values at the sampled points, updating and storing the covariance matrix domin...

In this paper, we study the asymptotic and transient dynamics of a predator–prey model with square root functional responses random perturbation. Firstly, mean stability matrix is obtained from theory stochastic systems, three indexes (root-mean-square resilience, root-mean-square reactivity amplification envelope) ecosystem response to disturbances are calculated. We find that: (1) no matter w...

background: the aim of this clinical trial study was to clinically evaluate the use of enamel matrix protein derivative combined with the coronally positioned fl ap to treat gingival recession compared to the subepithelial connective tissue graft by a new method to obtain denuded root surface area. materials and methods: thirteen patients, each with two or more similar bilateral miller class i ...