Class MultiStartMultivariateOptimizer

    • Constructor Detail

      • MultiStartMultivariateOptimizer

        public MultiStartMultivariateOptimizer​(MultivariateOptimizer optimizer,
                                               int starts,
                                               Supplier<double[]> generator)
        Create a multi-start optimizer from a single-start optimizer.
        Parameters:
        optimizer - Single-start optimizer to wrap.
        starts - Number of starts to perform. If starts == 1, the result will be same as if optimizer is called directly.
        generator - Generator to use for restarts.
        Throws:
        NullArgumentException - NullArgumentException if optimizer or generator is null.
        NotStrictlyPositiveException - NotStrictlyPositiveException if starts < 1.
    • Method Detail

      • getOptima

        public PointValuePair[] getOptima()
        Gets all the optima found during the last call to optimize. The optimizer stores all the optima found during a set of restarts. The optimize method returns the best point only. This method returns all the points found at the end of each starts, including the best one already returned by the optimize method.
        The returned array as one element for each start as specified in the constructor. It is ordered with the results from the runs that did converge first, sorted from best to worst objective value (i.e in ascending order if minimizing and in descending order if maximizing), followed by null elements corresponding to the runs that did not converge. This means all elements will be null if the optimize method did throw an exception. This also means that if the first element is not null, it is the best point found across all starts.
        The behaviour is undefined if this method is called before optimize; it will likely throw NullPointerException.
        Specified by:
        getOptima in class BaseMultiStartMultivariateOptimizer<PointValuePair>
        Returns:
        an array containing the optima sorted from best to worst.