/** * {@inheritDoc} * * @param optData Optimization data. In addition to those documented in * {@link JacobianMultivariateVectorOptimizer#parseOptimizationData(OptimizationData[]) * JacobianMultivariateVectorOptimizer}, this method will register the following data: * <ul> * <li>{@link org.apache.commons.math3.optim.nonlinear.vector.Weight}</li> * </ul> * @return {@inheritDoc} * @throws TooManyEvaluationsException if the maximal number of * evaluations is exceeded. * @throws DimensionMismatchException if the initial guess, target, and weight * arguments have inconsistent dimensions. */ @Override public PointVectorValuePair optimize(OptimizationData... optData) throws TooManyEvaluationsException { // Set up base class and perform computation. return super.optimize(optData); }
/** * {@inheritDoc} * * @param optData Optimization data. In addition to those documented in * {@link JacobianMultivariateVectorOptimizer#parseOptimizationData(OptimizationData[]) * JacobianMultivariateVectorOptimizer}, this method will register the following data: * <ul> * <li>{@link org.apache.commons.math3.optim.nonlinear.vector.Weight}</li> * </ul> * @return {@inheritDoc} * @throws TooManyEvaluationsException if the maximal number of * evaluations is exceeded. * @throws DimensionMismatchException if the initial guess, target, and weight * arguments have inconsistent dimensions. */ @Override public PointVectorValuePair optimize(OptimizationData... optData) throws TooManyEvaluationsException { // Set up base class and perform computation. return super.optimize(optData); }
/** * {@inheritDoc} * * @param optData Optimization data. In addition to those documented in * {@link JacobianMultivariateVectorOptimizer#parseOptimizationData(OptimizationData[]) * JacobianMultivariateVectorOptimizer}, this method will register the following data: * <ul> * <li>{@link org.apache.commons.math3.optim.nonlinear.vector.Weight}</li> * </ul> * @return {@inheritDoc} * @throws TooManyEvaluationsException if the maximal number of * evaluations is exceeded. * @throws DimensionMismatchException if the initial guess, target, and weight * arguments have inconsistent dimensions. */ @Override public PointVectorValuePair optimize(OptimizationData... optData) throws TooManyEvaluationsException { // Set up base class and perform computation. return super.optimize(optData); }