/src/main/java/net/finmath/timeseries/models/parametric/DisplacedLognormalGJRGARCH.java
final org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer optimizer2 = new org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer( maxIterations, Double.POSITIVE_INFINITY, true, -4, -4, new MersenneTwister( ) , false, new SimplePointChecker<org.apache.commons.math3.optim.PointValuePair>( -4, -4) ) {
final org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer optimizer2 = new org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer ( maxIterations, Double.POSITIVE_INFINITY, true, 0, 0, new MersenneTwister ( ) , false, new SimplePointChecker<org.apache.commons.math3.optim.PointValuePair> ( 0, 0 ) ) {
} catch (final SolverException e1) { e1.printStackTrace(); } bestParameters = lm.getBestFitParameters(); } else { <extra_id_0> @Override public double computeObjectiveValue(final double[] params) { return objectiveFunction.value(params); } @Override public org.apache.commons.math3.optim.nonlinear.scalar.GoalType getGoalType() {