使用分区中值的约束打印数字的分区

Printing Partitions of a Number Using a Constraint on Values in Partition

本文关键字:分区 约束 打印 数字      更新时间:2023-10-16

我现在正在上一门计算机科学课程,我最近的作业中的一个问题是:

"整数n的分区是将n写成正整数之和的一种方式。对于例如,对于n=7,分区是1+1+5。编写一个程序,查找所有使用r整数的整数n的分区。例如,n=7的所有分区使用r=3的整数为1+1+5、1+2+4、1+3+3、2+2+3。"

我已经为这个问题挣扎了几天了,我不知道该怎么做。我知道我需要一个递归函数来获取变量,可能还需要一个数组或向量来存储它们,但我不知道从哪里开始。

我并不是要求任何人直接给我这个代码,因为我想自己克服它,但如果一些更有经验的程序员能为我指明正确的方法,那将是非常受欢迎的。

提前感谢!

Tristan

下面列出的函数不是递归的,但它有效地枚举了整数myInt的所有分区,其大小为PartitionSize,其部分始终为>=MinVal<=MaxVal。每个分区的部分/元素按升序(从左到右)列出,分区本身按字典顺序(从上到下)排列。

此函数使用std::向量来存储每个分区,但为了方便直接移植到plain C,可以用固定大小的数组来代替该向量。

我预计,具有相同功能的递归函数会有一个更简单/更短的代码,代价是速度更慢,堆栈使用更多的RAM。

void GenPartitions(const unsigned int myInt,
                   const unsigned int PartitionSize,
                   unsigned int MinVal,
                   unsigned int MaxVal)
{
    if ((MaxVal = MaxPartitionVal(myInt, PartitionSize, MinVal, MaxVal)) == 0)
        return;
    if ((MinVal = MinPartitionVal(myInt, PartitionSize, MinVal, MaxVal)) == unsigned int(-1))
        return;
    std::vector<unsigned int> partition(PartitionSize);
    unsigned int idx_Last = PartitionSize - 1;
    unsigned int idx_Dec = idx_Last;    //The point that needs to be decremented
    unsigned int idx_Spill = 0;         //Index where the remainder starts spilling leftwise
    unsigned int idx_SpillPrev;         //Copy of the old idx_Spill for optimization of the last "while loop".
    unsigned int LeftRemain = myInt - MaxVal - (idx_Dec - 1)*MinVal;    //The remaining value that needs to be spilled leftwise
    partition[idx_Dec] = MaxVal + 1;    //Initialize first partition. It will be decremented as soon as it enters the "do" loop.
    //std::cout << std::setw(idx_Dec * 3 + 1) << "" << "v" << std::endl;    //Show the first Decrement Point
    do {
        unsigned int val_Dec = partition[idx_Dec] - 1;      //Value AFTER decrementing
        partition[idx_Dec] = val_Dec;                       //Decrement at the Decrement Point
        idx_SpillPrev = idx_Spill;          //For optimization so the last "while loop" does not do unnecessary work.
        idx_Spill = idx_Dec - 1;            //Index where the remainder starts getting spilled. Before the Decrement Pint (not inclusive)
        while (LeftRemain > val_Dec)        //Spill the remainder leftwise while limiting its magnitude, in order to satisfy the left-to-right ascending ordering.
        {
            partition[idx_Spill--] = val_Dec;
            LeftRemain -= val_Dec - MinVal; // Adjust remainder by the amount used up (minVal is assumed to be there already)
            //std::cout << std::setw(((idx_Spill + 1) * 3) + 1) << "" << "-" << std::endl;  //Show the remainder spillage
        }   //For platforms without hardware multiplication, it is possible to calculate the expression (idx_Dec - idx_Spill)*val_Dec inside this loop by multiple additions of val_Dec.
        partition[idx_Spill] = LeftRemain;  //Spill last remainder of remainder
        //std::cout << std::setw((idx_Spill * 3) + 1) << "" << "*" << std::endl;    //Show the last remainder of remainder
        char a = (idx_Spill) ? ~((-3 >> (LeftRemain - MinVal)) << 2) : 11;  //when (LeftRemain == MinVal) then it computes to 11
        char b = (-3 >> (val_Dec - LeftRemain));
        switch (a & b)  //Switch depending on relative magnitudes of elements before and after the partition[idx]. Cases 0, 4, 8 can never occur.
        {
            case 1:
            case 2:
            case 3: idx_Dec = idx_Spill;
                    LeftRemain = 1 + (idx_Spill - idx_Dec + 1)*MinVal; 
                    break;
            case 5: for (++idx_Dec, LeftRemain = (idx_Dec - idx_Spill)*val_Dec; (idx_Dec <= idx_Last) && (partition[idx_Dec] <= MinVal); idx_Dec++) //Find the next value, that can be decremented while satisfying the left-to-right ascending ordering.
                        LeftRemain += partition[idx_Dec];
                    LeftRemain += 1 + (idx_Spill - idx_Dec + 1)*MinVal;
                    break;
            case 6:
            case 7:
            case 11:idx_Dec = idx_Spill + 1;
                    LeftRemain += 1 + (idx_Spill - idx_Dec + 1)*MinVal;
                    break;

            case 9: for (++idx_Dec, LeftRemain = idx_Dec * val_Dec; (idx_Dec <= idx_Last) && (partition[idx_Dec] <= (val_Dec + 1)); idx_Dec++)  //Find the next value, that can be decremented while satisfying the left-to-right ascending ordering.
                        LeftRemain += partition[idx_Dec];
                    LeftRemain += 1 - (idx_Dec - 1)*MinVal;
                    break;
            case 10:for (LeftRemain += idx_Spill * MinVal + (idx_Dec - idx_Spill)*val_Dec + 1, ++idx_Dec; (idx_Dec <= idx_Last) && (partition[idx_Dec] <= (val_Dec - 1)); idx_Dec++)    //Find the next value, that can be decremented while satisfying the left-to-right ascending ordering. Here [idx_Dec] == [cur]+1. 
                        LeftRemain += partition[idx_Dec];
                    LeftRemain -= (idx_Dec - 1)*MinVal;
                    break;
        }
        while (idx_Spill > idx_SpillPrev)   //Set the elements where the spillage of the remainder did not reach.  For optimization, going down only to idx_SpillPrev 
            partition[--idx_Spill] = MinVal;    //For platforms without hardware multiplication, it is possible to calculate the expression idx_Spill*MinVal inside this loop by multiple additions of MinVal, followed by another "while loop" iterating from idx_SpillPrev to zero (because the optimization skips these iterations). If, so, then both loops would need to be moved before the "switch statement"
        DispPartition(partition);   //Display the partition ...or do sth else with it           
        //std::cout << std::setw((idx_Dec * 3) + 1) << "" << "v" << std::endl;  //Show the Decrement Points
    } while (idx_Dec <= idx_Last);
}

以下是此函数的输出示例:

SAMPLE OUTPUT OF: GenPartitions(20, 4, 1,10):
1, 1, 8,10
1, 2, 7,10
1, 3, 6,10
2, 2, 6,10
1, 4, 5,10
2, 3, 5,10
2, 4, 4,10
3, 3, 4,10
1, 1, 9, 9
1, 2, 8, 9
1, 3, 7, 9
2, 2, 7, 9
1, 4, 6, 9
2, 3, 6, 9
1, 5, 5, 9
2, 4, 5, 9
3, 3, 5, 9
3, 4, 4, 9
1, 3, 8, 8
2, 2, 8, 8
1, 4, 7, 8
2, 3, 7, 8
1, 5, 6, 8
2, 4, 6, 8
3, 3, 6, 8
2, 5, 5, 8
3, 4, 5, 8
4, 4, 4, 8
1, 5, 7, 7
2, 4, 7, 7
3, 3, 7, 7
1, 6, 6, 7
2, 5, 6, 7
3, 4, 6, 7
3, 5, 5, 7
4, 4, 5, 7
2, 6, 6, 6
3, 5, 6, 6
4, 4, 6, 6
4, 5, 5, 6
5, 5, 5, 5

如果你想编译它,辅助函数如下:

#include <iostream>
#include <iomanip>
#include <vector> 
unsigned int MaxPartitionVal(const unsigned int myInt,
                             const unsigned int PartitionSize,
                             unsigned int MinVal,
                             unsigned int MaxVal)
{
    if ((myInt < 2)
        || (PartitionSize < 2)
        || (PartitionSize > myInt)
        || (MaxVal < 1)
        || (MinVal > MaxVal)
        || (PartitionSize > myInt)
        || ((PartitionSize*MaxVal) < myInt )
        || ((PartitionSize*MinVal) > myInt))    //Sanity checks
        return 0;
    unsigned int last = PartitionSize - 1;
    if (MaxVal + last*MinVal > myInt)
        MaxVal = myInt - last*MinVal;   //It is not always possible to start with the Maximum Value. Decrease it to sth possible
    return MaxVal;
}
unsigned int MinPartitionVal(const unsigned int myInt,
                             const unsigned int PartitionSize,
                             unsigned int MinVal,
                             unsigned int MaxVal)
{
    if ((MaxVal = MaxPartitionVal(myInt, PartitionSize, MinVal, MaxVal)) == 0)   //Assume that MaxVal has precedence over MinVal
        return unsigned int(-1);
    unsigned int last = PartitionSize - 1;
    if (MaxVal + last*MinVal > myInt)
        MinVal = myInt - MaxVal - last*MinVal;  //It is not always possible to start with the Minimum Value. Increase it to sth possible
    return MinVal;
}
void DispPartition(const std::vector<unsigned int>& partition)
{
    for (unsigned int i = 0; i < partition.size()-1; i++)       //DISPLAY THE PARTITON HERE ...or do sth else with it.
            std::cout << std::setw(2) << partition[i] << ",";
    std::cout << std::setw(2) << partition[partition.size()-1] << std::endl;
}

p.S.
我的动机是为一个微控制器创建这个非递归函数,该微控制器留给堆栈的空闲RAM很少(不过它有很多程序内存)。