/src/main/java/net/finmath/optimizer/StochasticLevenbergMarquardt.java
hessianMatrix[i][j] = lambda;
hessianMatrix[i][j] = alphaElement;
} else { alphaElement *= 1 + lambda; } } } <extra_id_0> hessianMatrix[j][i] = alphaElement; } } for (int i = 0; i < parameterCurrent.length; i++) { double betaElement = 0.0; final RandomVariable[] derivativeCurrentSingleParam = derivativeCurrent[i];