如何优化大数阶乘计算的时间
简要说明对程序优化的措施应该用到那些方法 用列表形式计算一下 1000,5000,10000,
这3个数阶乘所需的时间。源代码如下
class Huge
{
private int[] digits;
public Huge(int nDigits)
{
digits = new int[nDigits];
}
private Huge add(Huge n2)
{
Huge result = new Huge(digits.length);
int carry = 0;
for (int k = 0; k < digits.length; k++)
{
int sum = carry + digits[k] + n2.digits[k];
result.digits[k] = sum % 10;
carry = sum / 10;
}
return result;
}
private Huge multiplyDigit(int digit)
{
Huge result = new Huge(digits.length);
int carry = 0;
for (int k = 0; k < digits.length; k++)
{
int prod = carry + digit * digits[k];
result.digits[k] = prod % 10;
carry = prod / 10;
}
return result;
}
private Huge multiply(int number)
{
int weight = 0;
Huge result = new Huge(digits.length);
while (number > 0)
{
int d = number % 10;
number /= 10;
Huge n = multiplyDigit(d);
n.shift(weight++);
result = result.add(n);
}
return result;
}
private void output()
{
int k = digits.length - 1;
while (digits[k--] == 0) ;
for (k = k + 1 ; k >= 0; k--)
System.out.printf("%d", digits[k]);
System.out.println();
}
private void shift(int weight)
{
for (int k = digits.length - 1; k >= 0; k--)
digits[k] = (k >= weight)? digits[k - weight] : 0;
}
public static void main(String[] args)
{
int N = Integer.parseInt(args[0]);
// calculate num-of-digits required for storing factorial(n)
int nbits = 0;
for (int k = 1; k <= N; k++)
nbits += (int)Math.ceil(Math.log10(k));
Huge result = new Huge(nbits);
result.digits[0] = 1;
for (int k = 2; k <= Integer.parseInt(args[0]); k++)
result = result.multiply(k);
result.output();
}
}
求优化的代码