alternativeClasses2.cs

public class ConjugatedGradient {
    private readonly double tolerance;
    private readonly int maxIterations;

    public ConjugatedGradient(double tolerance = 1e-6, int maxIterations = 1000) {
        this.tolerance = tolerance;
        this.maxIterations = maxIterations;
    }
    
    public double[] Minimize(
        Func<double[], double[]> gradFn, 
        double[] init
    ) {
        // minimization code...
    }

    // more code...
}

public class LinearDescent {

    public double[] Min(
        Func<double[], double[]> gradFn,
        double[] init,
        Config config
    ) {
        // minimization code...
    }

    // more code...
}

///////////////////////////////////

public class ConjugatedGradient {
    private readonly double tolerance;
    private readonly int maxIterations;

    public ConjugatedGradient(double tolerance = 1e-6, int maxIterations = 1000) {
        this.tolerance = tolerance;
        this.maxIterations = maxIterations;
    }
    
    public double[] Minimize(
        Func<double[], double[]> gradFn,
        double[] init
    ) {
        // minimization code...
    }

    // more code...
}

public class LinearDescent {
    private readonly double tolerance;
    private readonly int maxIterations;
    private readonly double learningRate;

    public LinearDescent(double tolerance = 1e-6, int maxIterations = 1000, double learningRate = 0.01) {
        this.tolerance = tolerance;
        this.maxIterations = maxIterations;
        this.learningRate = learningRate;
    }

    public double[] Minimize(
        Func<double[], double[]> gradFn,
        double[] init
    ) {
        // minimization code...
    }

    // more code...
}

///////////////////////////////////

public interface Minimization {
    double[] Minimize(
        Func<double[], double[]> gradFn,
        double[] init
    );
}

public class ConjugatedGradientMinimization : Minimization {
    private readonly double tolerance;
    private readonly int maxIterations;

    public ConjugatedGradientMinimization(double tolerance = 1e-6, int maxIterations = 1000) {
        this.tolerance = tolerance;
        this.maxIterations = maxIterations;
    }
    
    public double[] Minimize(
        Func<double[], double[]> gradFn,
        double[] init
    ) {
        // minimization code...
    }

    // more code...
}

public class LinearDescentMinimization : Minimization {
    private readonly double tolerance;
    private readonly int maxIterations;
    private readonly double learningRate;

    public LinearDescentMinimization(double tolerance = 1e-6, int maxIterations = 1000, double learningRate = 0.01) {
        this.tolerance = tolerance;
        this.maxIterations = maxIterations;
        this.learningRate = learningRate;
    }

    public double[] Minimize(
        Func<double[], double[]> gradFn,
        double[] init
    ) {
        // minimization code...
    }

    // more code...
}