这对我来说很管用，但我并没有试图处理消极的东西

public static int roundUp(int numToRound, int multiple) {
    if (multiple == 0) {
        return 0;
    } else if (numToRound % multiple == 0) {
    return numToRound;
    }

    int mod = numToRound % multiple;
    int diff = multiple - mod;
    return numToRound + diff;
}

总是四舍五入

int alwaysRoundUp(int n, int multiple)
{
    if (n % multiple != 0) {
        n = ((n + multiple) / multiple) * multiple;

        // Another way
        //n = n - n % multiple + multiple;
    }

    return n;
}

一生(1,10)-> 10

一生(5,10)-> 10

-> 10 -> 10

总是四舍五入

int alwaysRoundDown(int n, int multiple)
{
    n = (n / multiple) * multiple;

    return n;
}

一直循环(1,10)-> 0

一直循环(5、10)-> 0

一直循环(10,10)-> 10

以正常的方式圆

int normalRound(int n, int multiple)
{
    n = ((n + multiple/2)/multiple) * multiple;

    return n;
}

正常回合（1， 10） -> 0

normalRound(5、10)-> 10

normalRound(10,10) -> 10

我想这应该对你有帮助。我用C语言编写了下面的程序。

# include <stdio.h>
int main()
{
  int i, j;
  printf("\nEnter Two Integers i and j...");
  scanf("%d %d", &i, &j);
  int Round_Off=i+j-i%j;
  printf("The Rounded Off Integer Is...%d\n", Round_Off);
  return 0;
}

我用的是:

template <class _Ty>
inline _Ty n_Align_Up(_Ty n_x, _Ty n_alignment)
{
    assert(n_alignment > 0);
    //n_x += (n_x >= 0)? n_alignment - 1 : 1 - n_alignment; // causes to round away from zero (greatest absolute value)
    n_x += (n_x >= 0)? n_alignment - 1 : -1; // causes to round up (towards positive infinity)
    //n_x += (_Ty(-(n_x >= 0)) & n_alignment) - 1; // the same as above, avoids branch and integer multiplication
    //n_x += n_alignment - 1; // only works for positive numbers (fastest)
    return n_x - n_x % n_alignment; // rounds negative towards zero
}

对于2的幂:

template <class _Ty>
bool b_Is_POT(_Ty n_x)
{
    return !(n_x & (n_x - 1));
}

template <class _Ty>
inline _Ty n_Align_Up_POT(_Ty n_x, _Ty n_pot_alignment)
{
    assert(n_pot_alignment > 0);
    assert(b_Is_POT(n_pot_alignment)); // alignment must be power of two
    -- n_pot_alignment;
    return (n_x + n_pot_alignment) & ~n_pot_alignment; // rounds towards positive infinity (i.e. negative towards zero)
}

请注意，这两个负值都舍入到0(这意味着所有值都舍入到正无穷)，它们都不依赖于有符号溢出(这在C/ c++中未定义)。

这给:

n_Align_Up(10, 100) = 100
n_Align_Up(110, 100) = 200
n_Align_Up(0, 100) = 0
n_Align_Up(-10, 100) = 0
n_Align_Up(-110, 100) = -100
n_Align_Up(-210, 100) = -200
n_Align_Up_POT(10, 128) = 128
n_Align_Up_POT(130, 128) = 256
n_Align_Up_POT(0, 128) = 0
n_Align_Up_POT(-10, 128) = 0
n_Align_Up_POT(-130, 128) = -128
n_Align_Up_POT(-260, 128) = -256

我发现了一个算法，有点类似于上面发布的:

Int [(|x|+n-1)/n]*[(nx)/|x|]，其中x是用户输入的值，n是使用的倍数。

它适用于所有值x，其中x是整数(正或负，包括零)。我专门为c++程序编写了它，但基本上可以在任何语言中实现。

/// Rounding up 'n' to the nearest multiple of number 'b'.
/// - Not tested for negative numbers.
/// \see http://stackoverflow.com/questions/3407012/
#define roundUp(n,b) ( (b)==0 ? (n) : ( ((n)+(b)-1) - (((n)-1)%(b)) ) )

/// \c test->roundUp().
void test_roundUp() {   
    // yes_roundUp(n,b) ( (b)==0 ? (n) : ( (n)%(b)==0 ? n : (n)+(b)-(n)%(b) ) )
    // yes_roundUp(n,b) ( (b)==0 ? (n) : ( ((n + b - 1) / b) * b ) )

    // no_roundUp(n,b) ( (n)%(b)==0 ? n : (b)*( (n)/(b) )+(b) )
    // no_roundUp(n,b) ( (n)+(b) - (n)%(b) )

if (true) // couldn't make it work without (?:)
{{  // test::roundUp()
    unsigned m;
                { m = roundUp(17,8); } ++m;
    assertTrue( 24 == roundUp(17,8) );
                { m = roundUp(24,8); }
    assertTrue( 24 == roundUp(24,8) );

    assertTrue( 24 == roundUp(24,4) );
    assertTrue( 24 == roundUp(23,4) );
                { m = roundUp(23,4); }
    assertTrue( 24 == roundUp(21,4) );

    assertTrue( 20 == roundUp(20,4) );
    assertTrue( 20 == roundUp(19,4) );
    assertTrue( 20 == roundUp(18,4) );
    assertTrue( 20 == roundUp(17,4) );

    assertTrue( 17 == roundUp(17,0) );
    assertTrue( 20 == roundUp(20,0) );
}}
}