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

float roundUp(float number, float fixedBase) {
    if (fixedBase != 0 && number != 0) {
        float sign = number > 0 ? 1 : -1;
        number *= sign;
        number /= fixedBase;
        int fixedPoint = (int) ceil(number);
        number = fixedPoint * fixedBase;
        number *= sign;
    }
    return number;
}

这适用于任何浮点数或基数(例如，你可以四舍五入到最接近的6.75)。本质上，它是转换到定点，四舍五入，然后转换回来。它通过舍入0来处理负号。它还通过将函数转换为roundDown来处理值的负舍入。

int特定的版本如下所示:

int roundUp(int number, int fixedBase) {
    if (fixedBase != 0 && number != 0) {
        int sign = number > 0 ? 1 : -1;
        int baseSign = fixedBase > 0 ? 1 : 0;
        number *= sign;
        int fixedPoint = (number + baseSign * (fixedBase - 1)) / fixedBase;
        number = fixedPoint * fixedBase;
        number *= sign;
    }
    return number;
}

这或多或少是plinth的答案，加上负输入支持。

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;
}

四舍五入到2的幂:

以防有人需要一个正数四舍五入到2的幂的最近倍数的解(因为这就是我在这里结束的原因):

// number: the number to be rounded (ex: 5, 123, 98345, etc.)
// pow2:   the power to be rounded to (ex: to round to 16, use '4')
int roundPow2 (int number, int pow2) {
    pow2--;                     // because (2 exp x) == (1 << (x -1))
    pow2 = 0x01 << pow2;

    pow2--;                     // because for any
                                //
                                // (x = 2 exp x)
                                //
                                // subtracting one will
                                // yield a field of ones
                                // which we can use in a
                                // bitwise OR

    number--;                   // yield a similar field for
                                // bitwise OR
    number = number | pow2;
    number++;                   // restore value by adding one back

    return number;
}

如果输入的数字已经是一个倍数，那么它将保持不变。

以下是GCC使用- o2或- os给出的x86_64输出(9Sep2013 Build - godbolt GCC online):

roundPow2(int, int):
    lea ecx, [rsi-1]
    mov eax, 1
    sub edi, 1
    sal eax, cl
    sub eax, 1
    or  eax, edi
    add eax, 1
    ret

每一行C代码都与它在程序集中的行完全对应:http://goo.gl/DZigfX

每条指令都非常快，所以这个函数也非常快。由于代码非常小且快速，因此在使用时内联该函数可能很有用。

信贷:

算法:Hagen von Eitzen @ Math。SE Godbolt交互式编译器:@mattgodbolt/gcc-explorer在GitHub上

这就是我要做的:

#include <cmath>

int roundUp(int numToRound, int multiple)
{
    // if our number is zero, return immediately
   if (numToRound == 0)
        return multiple;

    // if multiplier is zero, return immediately
    if (multiple == 0)
        return numToRound;

    // how many times are number greater than multiple
    float rounds = static_cast<float>(numToRound) / static_cast<float>(multiple);

    // determine, whether if number is multiplier of multiple
    int floorRounds = static_cast<int>(floor(rounds));

    if (rounds - floorRounds > 0)
        // multiple is not multiplier of number -> advance to the next multiplier
        return (floorRounds+1) * multiple;
    else
        // multiple is multiplier of number -> return actual multiplier
        return (floorRounds) * multiple;
}

代码可能不是最优的，但比起枯燥的性能，我更喜欢干净的代码。

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