您需要将 N 维数组转换为一维数组。例如,如果您使用String [][] myArray = new String[5][5]、String[] oneDimArr[] = new String[5*5],那么myArray[0][3] 将是oneDimArr[0*5+3],而myArray[2][4] 将是oneDimArr[2*5+4]。
就像你把矩阵的每一行都粘在一个连续的大线上一样。
另一个例子:my3Darr[][][] = new String [7][7][7]; OneDimArr[] = new String[7*7*7] 所以,my3Darr[4][5][2] 将是 oneDimArr[4*7*7+5*7+2]。
你可以在myArray 和transformedArray 上使用它。您将拥有一个长度为 25 的数组和一个长度为 10000 的数组。然后根据需要传输数据。例如乘以 4000(即 10000/25):1D_myArray[i] 将是 1D_transformedArray[i*4000]。现在你只需反转这个过程:将1D_transformedArray 设置为transformedArray。
您实际上不需要在最终代码中为两个数组都遍历一维数组,您只需要获取从 2D 到 5D 索引的方法,但是您将从 2D 索引转到 1D 索引,然后从这个一维索引到你的函数(“i * 4000”或任何你想要的),然后从这个新的一维索引到你的五维索引。
示例:
String [][] myArray = new String[5][5]
String [][][][][] transformedArray = new String [10][10][10][10][10]
从二维到一维的位置/索引[2][4] => [14]
索引转换14*4000 => 56.000
从 1D 到 5D 56.000 => [k,l,m,n,o] with `j=56.000, k = j/10^4, l=(j%10^4)/10^3, m=(j%10^3)/10^ 2、n=(j%10^2)/10^1, o=j%10^1/10^0。
对于“从 1 维到 N 维”算法,我不太确定,但我希望你能明白(Algorithm to convert a multi-dimensional array to a one-dimensional array 可能还有其他解释)
不确定,但您可能需要这个:Getting unknown number of dimensions from a multidimensional array in Java
还要注意溢出,int 可能不足以包含一维索引,请小心使用long。
编辑:必须尝试一下,所以就这样吧:
public static void main(String[] args) {
//Easy to calculate
int[] coords = {4,5,2};
System.out.println("out1:"+indexFromNDto1D(coords,7,3)); //233
System.out.println("out2:"+Arrays.toString(indexFrom1DToND(233,7,3))); //{4,5,2}
System.out.println("");
//Just like the example
int oldDimensionSize = 5;
int newDimensionSize = 10;
int oldNumberOfDimensions = 2;
int newNumberOfDimensions = 5;
int[] _2Dcoords = {2,4};
int[] _5Dcoords = null;
int idx = indexFromNDto1D(_2Dcoords,oldDimensionSize,oldNumberOfDimensions); //One dimension index
System.out.println(idx);
idx = transferFunction(idx);
System.out.println(idx);
_5Dcoords = indexFrom1DToND(idx,newDimensionSize,newNumberOfDimensions);
System.out.println(Arrays.toString(_5Dcoords));
System.out.println("Reversing");
idx = indexFromNDto1D(_5Dcoords,newDimensionSize,newNumberOfDimensions);
System.out.println(idx);
idx = reverseTransfertFunction(idx);
System.out.println(idx);
_2Dcoords = indexFrom1DToND(idx,oldDimensionSize,oldNumberOfDimensions);
System.out.println(Arrays.toString(_2Dcoords));
}
public static int indexFromNDto1D(int[] coords, int dimLength, int numberOfDimensions){
//Could've use numberOfDimensions = coords.length but for symetry with the other method...
int result = 0;
for(int currDim = 0; currDim < numberOfDimensions; currDim++){
int shift = (int) (Math.pow(dimLength, numberOfDimensions - currDim - 1) * coords[currDim]);
result+= shift;
}
return result;
}
public static int[] indexFrom1DToND(int idx, int dimLength, int numberOfDimensions){
int[] result = new int[numberOfDimensions];
for(int currDim = 0; currDim < numberOfDimensions ; currDim++){
int currentDimSize = (int) Math.pow(dimLength,numberOfDimensions-1-currDim);
result[currDim] = idx / currentDimSize;
idx = idx % currentDimSize;
}
return result;
}
static final int transfer = 4000;
public static int transferFunction(int idx){
return idx * transfer;
}
public static int reverseTransfertFunction(int idx){
return idx / transfer;
}
这是输出:
out1:233
out2:[4, 5, 2]
14
56000
[5, 6, 0, 0, 0]
Reversing
56000
14
[2, 4]