A multi-variate normal distribution that can be updated via several components. More...
Classes | |
| class | edoEstimatorNormalAdaptive< EOT, D > |
| An estimator that works on adaptive normal distributions, basically the heart of the CMA-ES algorithm. More... | |
| class | edoNormalAdaptive< EOT > |
| A normal distribution that can be updated via several components. More... | |
| class | edoSamplerNormalAdaptive< EOT, D > |
| Sample points in a multi-normal law defined by a mean vector, a covariance matrix, a sigma scale factor and evolution paths. More... | |
A multi-variate normal distribution that can be updated via several components.
This is the data structure on which works the CMA-ES algorithm.