http://www.cs.princeton.edu/introcs/42sort/Sort.java.html

public static void quicksort(float[] main, int[] index) {
    quicksort(main, index, 0, index.length - 1);
}

// quicksort a[left] to a[right]
public static void quicksort(float[] a, int[] index, int left, int right) {
    if (right <= left) return;
    int i = partition(a, index, left, right);
    quicksort(a, index, left, i-1);
    quicksort(a, index, i+1, right);
}

// partition a[left] to a[right], assumes left < right
private static int partition(float[] a, int[] index, 
int left, int right) {
    int i = left - 1;
    int j = right;
    while (true) {
        while (less(a[++i], a[right]))      // find item on left to swap
            ;                               // a[right] acts as sentinel
        while (less(a[right], a[--j]))      // find item on right to swap
            if (j == left) break;           // don t go out-of-bounds
        if (i >= j) break;                  // check if pointers cross
        exch(a, index, i, j);               // swap two elements into place
    }
    exch(a, index, i, right);               // swap with partition element
    return i;
}

// is x < y ?
private static boolean less(float x, float y) {
    return (x < y);
}

// exchange a[i] and a[j]
private static void exch(float[] a, int[] index, int i, int j) {
    float swap = a[i];
    a[i] = a[j];
    a[j] = swap;
    int b = index[i];
    index[i] = index[j];
    index[j] = b;
}

纽约总部

final Integer[] idx = { 0, 1, 2, 3 };
final float[] data = { 1.7f, -0.3f,  2.1f,  0.5f };

Arrays.sort(idx, new Comparator<Integer>() {
    @Override public int compare(final Integer o1, final Integer o2) {
        return Float.compare(data[o1], data[o2]);
    }
});

页: 1 2. 树苗/代码

    float[] array = new float[]{};
    Map<Float, Integer> map = new TreeMap<Float, Integer>();
    for (int i = 0; i < array.length; ++i) {
        map.put(array[i], i);
    }
    Collection<Integer> indices = map.values();

: <>>>>>>;> > > >; >; >; >>>>;>; >; >; >; >; >; >; >; >; >; >; >; >; >;

EDIT: As noted in the comments, this approach does not work if there are duplicate values in the float array. This can be addressed by making the Map<Float, Integer> into a Map<Float, List<Integer>> though this will complicate the inside of the for loop and the generation of the final collection slightly.

页: 1

int[] a = {1,6,2,7,8}
int[] sortedIndices = IntStream.range(0, a.length)
                .boxed().sorted((i, j) -> Integer.compareTo(a[i], b[i]))
                .mapToInt(ele -> ele).toArray();

最好的解决办法是,按照C sqsort,允许你确定比较和交换功能,因此,qsort needn t了解所分类数据的类型或组织。 这里可以尝试。 自2006年以来 Java没有职能,利用Array内部班子总结阵列或收集。 然后用“Array”和“e”指数总结。 如JavaDoc所述,Aray指数的“Index”(Index)的结果将是一系列指数。

public class QuickSortArray {

public interface Array {
    int cmp(int aindex, int bindex);
    void swap(int aindex, int bindex);
    int length();
}

public static void quicksort(Array a) {
    quicksort(a, 0, a.length() - 1);
}

public static void quicksort(Array a, int left, int right) {
    if (right <= left) return;
    int i = partition(a, left, right);
    quicksort(a, left, i-1);
    quicksort(a, i+1, right);
}

public static boolean isSorted(Array a) {
    for (int i = 1, n = a.length(); i < n; i++) {
        if (a.cmp(i-1, i) > 0)
            return false;
    }
    return true;
}

private static int mid(Array a, int left, int right) {
    // "sort" three elements and take the middle one
    int i = left;
    int j = (left + right) / 2;
    int k = right;
    // order the first two
    int cmp = a.cmp(i, j);
    if (cmp > 0) {
        int tmp = j;
        j = i;
        i = tmp;
    }
    // bubble the third down
    cmp = a.cmp(j, k);
    if (cmp > 0) {
        cmp = a.cmp(i, k);
        if (cmp > 0)
            return i;
        return k;
    }
    return j;
}

private static int partition(Array a, int left, int right) {
    int mid = mid(a, left, right);
    a.swap(right, mid);
    int i = left - 1;
    int j = right;

    while (true) {
        while (a.cmp(++i, right) < 0)
            ;
        while (a.cmp(right, --j) < 0)
            if (j == left) break;
        if (i >= j) break;
        a.swap(i, j);
    }
    a.swap(i, right);
    return i;
}

public static class IndexArray implements Array {
    int[] index;
    Array a;

    public IndexArray(Array a) {
        this.a = a;
        index = new int[a.length()];
        for (int i = 0; i < a.length(); i++)
            index[i] = i;
    }

    /**
     * Return the index after the IndexArray is sorted.
     * The nested Array is unsorted. Assume the name of
     * its underlying array is a. The returned index array
     * is such that a[index[i-1]] <= a[index[i]] for all i
     * in 1..a.length-1.
     */
    public int[] index() {
        int i = 0;
        int j = index.length - 1;
        while (i < j) {
            int tmp = index[i];
            index[i++] = index[j];
            index[j--] = tmp;
        }
        int[] tmp = index;
        index = null;
        return tmp;
    }

    @Override
    public int cmp(int aindex, int bindex) {
        return a.cmp(index[aindex], index[bindex]);
    }

    @Override
    public void swap(int aindex, int bindex) {
        int tmp = index[aindex];
        index[aindex] = index[bindex];
        index[bindex] = tmp;
    }

    @Override
    public int length() {
        return a.length();
    }

}

public static int[] indexSort(final double[] v, boolean keepUnsorted) {
    final Integer[] II = new Integer[v.length];
    for (int i = 0; i < v.length; i++) II[i] = i;
    Arrays.sort(II, new Comparator<Integer>() {
        @Override
        public int compare(Integer o1, Integer o2) {
            return Double.compare(v[o1],v[o2]);
        }
    });
    int[] ii = new int[v.length];
    for (int i = 0; i < v.length; i++) ii[i] = II[i];
    if (!keepUnsorted) {
        double[] clon = v.clone();
        for (int i = 0; i < v.length; i++) v[i] = clon[II[i]];
    }
    return ii;
}

改变对像以下一类的奶类的投入,然后利用Arrays.sort()进行分类。 Arrays.sort()确保像Matlab一样的价值观保持原有秩序。 然后,你们需要将分类结果转化为单独的阵列。

class SortPair implements Comparable<SortPair>
{
  private int originalIndex;
  private double value;

  public SortPair(double value, int originalIndex)
  {
    this.value = value;
    this.originalIndex = originalIndex;
  把它翻译成中文：

  @Override public int compareTo(SortPair o)
  {
    return Double.compare(value, o.getValue());
  把它翻译成中文：

  public int getOriginalIndex()
  {
    return originalIndex;
  把它翻译成中文：

  public double getValue()
  {
    return value;
  把它翻译成中文：

把它翻译成中文：

另一种非简单解决办法。 http://en.wikipedia.org/wiki/Sorting_algorithm#Stability” rel=“nofollow” 并且不会改变来源阵列,尽管合并需要额外的记忆。

public static int[] sortedIndices(double[] x) {
    int[] ix = new int[x.length];
    int[] scratch = new int[x.length];
    for (int i = 0; i < ix.length; i++) {
        ix[i] = i;
    }
    mergeSortIndexed(x, ix, scratch, 0, x.length - 1);
    return ix;
}

private static void mergeSortIndexed(double[] x, int[] ix, int[] scratch, int lo, int hi) {
    if (lo == hi)
        return;
    int mid = (lo + hi + 1) / 2;
    mergeSortIndexed(x, ix, scratch, lo, mid - 1);
    mergeSortIndexed(x, ix, scratch, mid, hi);
    mergeIndexed(x, ix, scratch, lo, mid - 1, mid, hi);
}

private static void mergeIndexed(double[] x, int[] ix, int[] scratch, int lo1, int hi1, int lo2, int hi2) {
    int i = 0;
    int i1 = lo1;
    int i2 = lo2;
    int n1 = hi1 - lo1 + 1;
    while (i1 <= hi1 && i2 <= hi2) {
        if (x[ix[i1]] <= x[ix[i2]])
            scratch[i++] = ix[i1++];
        else
            scratch[i++] = ix[i2++];
    }
    while (i1 <= hi1)
        scratch[i++] = ix[i1++];
    while (i2 <= hi2)
        scratch[i++] = ix[i2++];
    for (int j = lo1; j <= hi1; j++)
        ix[j] = scratch[j - lo1];
    for (int j = lo2; j <= hi2; j++)
        ix[j] = scratch[(j - lo2 + n1)];
}

//Here index array(of length equal to length of d array) contains the numbers from 0 to length of d array   
      public static Integer [] SortWithIndex(float[] data, Integer [] index)
    {
    int len = data.length;
    float temp1[] = new float[len];
    int temp2[] = new int[len];



         for (int i = 0; i <len; i++) {


                for (int j = i + 1; j < len; j++) {


                  if(data[i]>data[j])
                  {
                    temp1[i] = data[i];
                    data[i] = data[j];
                    data[j] = temp1[i];



                    temp2[i] = index[i];
                    index[i] = index[j];
                    index[j] = temp2[i];

                    }
                  }

        }

        return index;

    }

我愿这样做:

public class SortedArray<T extends Comparable<T>> {
    private final T[] tArray;
    private final ArrayList<Entry> entries;

    public class Entry implements Comparable<Entry> {
        public int index;

        public Entry(int index) {
            super();
            this.index = index;
        }

        @Override
        public int compareTo(Entry o) {
            return tArray[index].compareTo(tArray[o.index]);
        }
    }

    public SortedArray(T[] array) {
        tArray = array;
        entries = new ArrayList<Entry>(array.length);
        for (int i = 0; i < array.length; i++) {
            entries.add(new Entry(i));
        }
        Collections.sort(entries);
    }

    public T getSorted(int i) {
        return tArray[entries.get(i).index];

    }

    public T get(int i) {
        return tArray[i];
    }
}

下面是基于插入Sort的一种方法。

public static int[] insertionSort(float[] arr){
    int[] indices = new int[arr.length];
        indices[0] = 0;
        for(int i=1;i<arr.length;i++){
            int j=i;
            for(;j>=1 && arr[j]<arr[j-1];j--){
                    float temp = arr[j];
                    arr[j] = arr[j-1];
                    indices[j]=indices[j-1];
                    arr[j-1] = temp;
            }
            indices[j]=i;
        }
        return indices;//indices of sorted elements
 }

我愿利用这一点,因为它非常快。 但是,我把它用于暗中,你可以改变它。

private static void mergeSort(int[]array,int[] indexes,int start,int end){
    if(start>=end)return;
    int middle = (end-start)/2+start;
    mergeSort(array,indexes,start,middle);
    mergeSort(array,indexes,middle+1,end);
    merge(array,indexes,start,middle,end);
}
private static void merge(int[]array,int[] indexes,int start,int middle,int end){
    int len1 = middle-start+1;
    int len2 = end - middle;
    int leftArray[] = new int[len1];
    int leftIndex[] = new int[len1];
    int rightArray[] = new int[len2];
    int rightIndex[] = new int[len2];
    for(int i=0;i<len1;++i)leftArray[i] = array[i+start];
    for(int i=0;i<len1;++i)leftIndex[i] = indexes[i+start];
    for(int i=0;i<len2;++i)rightArray[i] = array[i+middle+1];
    for(int i=0;i<len2;++i)rightIndex[i] = indexes[i+middle+1];
    //merge
    int i=0,j=0,k=start;
    while(i<len1&&j<len2){
        if(leftArray[i]<rightArray[j]){
            array[k] = leftArray[i];
            indexes[k] = leftIndex[i];
            ++i;
        }
        else{
            array[k] = rightArray[j];
            indexes[k] = rightIndex[j];
            ++j;
        }
        ++k;
    }
    while(i<len1){
        array[k] = leftArray[i];
        indexes[k] = leftIndex[i];
        ++i;++k;
    }
    while(j<len2){
        array[k] = rightArray[j];
        indexes[k] = rightIndex[j];
        ++j;++k;
    }
}

我猜测,这样做的最容易的方法是把阵列作为指数。 你们需要高价奶粉。 如果该指数是一个单独的结构,那么就看看你如何在没有其他物体的情况下这样做(希望看到该指数)。