'foo' 未在此范围内声明 c++

Here is the Java code, more or less the same:

public static double negativelySkewed(double skew, int min, int max){
    return randomSkew(skew) * (max - min) + min;
}

public static double randomSkew(final double skew){
    final double xVal = Math.random();
    return 2 * normalDist(xVal) * Integral.integrate(-500, skew * xVal, 100000, new Evaluatable() {

        @Override
        public double evaluate(double value) {
            return normalDist(value);
        }
    });
}

public static double normalDist(double x){
    return 1 / Math.sqrt(2 * Math.PI) * Math.pow(Math.E, -x * x / 2);
}

/** A class to calculate summations and numeric integrals. The
 *  integral is calculated according to the midpoint rule.
 *
 *  Taken from Core Web Programming from 
 *  Prentice Hall and Sun Microsystems Press,
 *  http://www.corewebprogramming.com/.
 *  © 2001 Marty Hall and Larry Brown;
 *  may be freely used or adapted. 
 */

public static class Integral {
  /** Returns the sum of f(x) from x=start to x=stop, where the
   *  function f is defined by the evaluate method of the 
   *  Evaluatable object.
   */

  public static double sum(double start, double stop,
                           double stepSize,
                           Evaluatable evalObj) {
    double sum = 0.0, current = start;
    while (current <= stop) {
      sum += evalObj.evaluate(current);
      current += stepSize;
    }
    return(sum);
  }

  /** Returns an approximation of the integral of f(x) from 
   *  start to stop, using the midpoint rule. The function f is
   *  defined by the evaluate method of the Evaluatable object.
   */

  public static double integrate(double start, double stop,
                                 int numSteps, 
                                 Evaluatable evalObj) {
    double stepSize = (stop - start) / (double)numSteps;
    start = start + stepSize / 2.0;
    return(stepSize * sum(start, stop, stepSize, evalObj));
  }
}

/** An interface for evaluating functions y = f(x) at a specific
 *  value. Both x and y are double-precision floating-point 
 *  numbers.
 *
 *  Taken from Core Web Programming from 
 *  Prentice Hall and Sun Microsystems Press,
 *  http://www.corewebprogramming.com/.
 *  &copy; 2001 Marty Hall and Larry Brown;
 *  may be freely used or adapted. 
 */
public static interface Evaluatable {
      public double evaluate(double value);
}

我确定这是非常简单的事情

getSkewNormal(double skewValue, double x)