Apache Commons中的单变量、非线性优化/解算器-如何开始？

import org.apache.commons.math3.analysis.UnivariateFunction;
import org.apache.commons.math3.optim.InitialGuess;
import org.apache.commons.math3.optim.MaxEval;
import org.apache.commons.math3.optim.nonlinear.scalar.GoalType;
import org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer;

public class OptimizationExample {
    public static void main(String[] args) {
        // Step 1: Import Apache Commons library

        // Step 2: Define optimization problem function
        UnivariateFunction function = x -> Math.pow(x - 2, 2);

        // Step 3: Create optimizer object
        SimplexOptimizer optimizer = new SimplexOptimizer(1e-10, 1e-30);

        // Step 4: Set optimization parameters
        optimizer.setMaxEvaluations(1000);

        // Step 5: Run optimizer
        double result = optimizer.optimize(
                new MaxEval(1000),
                new ObjectiveFunction(function),
                GoalType.MINIMIZE,
                new InitialGuess(0.0),
                new NelderMeadSimplex(1.0)
        ).getPoint();

        System.out.println("Optimized result: " + result);
    }
}