【发布时间】:2010-05-03 01:36:38
【问题描述】:
【问题讨论】:
【问题讨论】:
这是一个用于生成值的有趣算法。这是我根据this page in the references from the wikipedia article 的解释创建的一个实现。它将创建“球形值”(包裹在所有边缘)。 cmets 中有关于如何更改它以在边缘而不是环绕上生成新值的注释(尽管在这些情况下边缘的平均值的含义并不真正正确)。
//size of grid to generate, note this must be a
//value 2^n+1
final int DATA_SIZE = 9;
//an initial seed value for the corners of the data
final double SEED = 1000.0;
double[][] data = new double[DATA_SIZE][DATA_SIZE];
//seed the data
data[0][0] = data[0][DATA_SIZE-1] = data[DATA_SIZE-1][0] =
data[DATA_SIZE-1][DATA_SIZE-1] = SEED;
double h = 500.0;//the range (-h -> +h) for the average offset
Random r = new Random();//for the new value in range of h
//side length is distance of a single square side
//or distance of diagonal in diamond
for(int sideLength = DATA_SIZE-1;
//side length must be >= 2 so we always have
//a new value (if its 1 we overwrite existing values
//on the last iteration)
sideLength >= 2;
//each iteration we are looking at smaller squares
//diamonds, and we decrease the variation of the offset
sideLength /=2, h/= 2.0){
//half the length of the side of a square
//or distance from diamond center to one corner
//(just to make calcs below a little clearer)
int halfSide = sideLength/2;
//generate the new square values
for(int x=0;x<DATA_SIZE-1;x+=sideLength){
for(int y=0;y<DATA_SIZE-1;y+=sideLength){
//x, y is upper left corner of square
//calculate average of existing corners
double avg = data[x][y] + //top left
data[x+sideLength][y] +//top right
data[x][y+sideLength] + //lower left
data[x+sideLength][y+sideLength];//lower right
avg /= 4.0;
//center is average plus random offset
data[x+halfSide][y+halfSide] =
//We calculate random value in range of 2h
//and then subtract h so the end value is
//in the range (-h, +h)
avg + (r.nextDouble()*2*h) - h;
}
}
//generate the diamond values
//since the diamonds are staggered we only move x
//by half side
//NOTE: if the data shouldn't wrap then x < DATA_SIZE
//to generate the far edge values
for(int x=0;x<DATA_SIZE-1;x+=halfSide){
//and y is x offset by half a side, but moved by
//the full side length
//NOTE: if the data shouldn't wrap then y < DATA_SIZE
//to generate the far edge values
for(int y=(x+halfSide)%sideLength;y<DATA_SIZE-1;y+=sideLength){
//x, y is center of diamond
//note we must use mod and add DATA_SIZE for subtraction
//so that we can wrap around the array to find the corners
double avg =
data[(x-halfSide+DATA_SIZE)%DATA_SIZE][y] + //left of center
data[(x+halfSide)%DATA_SIZE][y] + //right of center
data[x][(y+halfSide)%DATA_SIZE] + //below center
data[x][(y-halfSide+DATA_SIZE)%DATA_SIZE]; //above center
avg /= 4.0;
//new value = average plus random offset
//We calculate random value in range of 2h
//and then subtract h so the end value is
//in the range (-h, +h)
avg = avg + (r.nextDouble()*2*h) - h;
//update value for center of diamond
data[x][y] = avg;
//wrap values on the edges, remove
//this and adjust loop condition above
//for non-wrapping values.
if(x == 0) data[DATA_SIZE-1][y] = avg;
if(y == 0) data[x][DATA_SIZE-1] = avg;
}
}
}
//print out the data
for(double[] row : data){
for(double d : row){
System.out.printf("%8.3f ", d);
}
System.out.println();
}
【讨论】:
h * 2 是最高点和最低点之间的最大可能差异吗?我正在尝试这样做,但我想通过分配高度来做到这一点,所以我可以使用height / 2 并将其用于相同的目的吗?这就是h 的意思吗?顺便说一句,很好的解决方案!
M. Jessup 的回答似乎有点错误。他在哪里:
= data[(x-halfSide+DATA_SIZE)%DATA_SIZE][y] + //中心左侧 data[(x+halfSide)%DATA_SIZE][y] + //中心右侧 data[x][(y+halfSide)%DATA_SIZE] + //中心下方 数据[x][(y-halfSide+DATA_SIZE)%DATA_SIZE]; //高于中心
应该改为:
= data[(x-halfSide+DATA_SIZE-1)%(DATA_SIZE-1)][y] + //中心左侧 data[(x+halfSide)%(DATA_SIZE-1)][y] + //中心右侧 data[x][(y+halfSide)%(DATA_SIZE-1)] + //中心下方 数据[x][(y-halfSide+DATA_SIZE-1)%(DATA_SIZE-1)]; //高于中心
否则它从错误的位置读取(可能未初始化)。
【讨论】:
对于任何人来说,这里是 M. Jessup 提供的算法,它包含在一个类中,该类接受一个种子(以允许再现结果),一个 n 的值来指定维度(维度是 2^n + 1),并将结果公开为标准化的浮点数组。它还对应用的算法的第二部分进行了修复。
import java.util.Random;
public class DiamondSquare {
public float[][] data;
public int width;
public int height;
public DiamondSquare(long mseed, int n) {
//size of grid to generate, note this must be a
//value 2^n+1
int DATA_SIZE = (1 << n) + 1;
width = DATA_SIZE;
height = DATA_SIZE;
//an initial seed value for the corners of the data
final float SEED = 1000.0f;
data = new float[DATA_SIZE][DATA_SIZE];
//seed the data
data[0][0] = data[0][DATA_SIZE-1] = data[DATA_SIZE-1][0] =
data[DATA_SIZE-1][DATA_SIZE-1] = SEED;
float valmin = Float.MAX_VALUE;
float valmax = Float.MIN_VALUE;
float h = 500.0f;//the range (-h -> +h) for the average offset
Random r = new Random(mseed);//for the new value in range of h
//side length is distance of a single square side
//or distance of diagonal in diamond
for(int sideLength = DATA_SIZE-1;
//side length must be >= 2 so we always have
//a new value (if its 1 we overwrite existing values
//on the last iteration)
sideLength >= 2;
//each iteration we are looking at smaller squares
//diamonds, and we decrease the variation of the offset
sideLength /=2, h/= 2.0){
//half the length of the side of a square
//or distance from diamond center to one corner
//(just to make calcs below a little clearer)
int halfSide = sideLength/2;
//generate the new square values
for(int x=0;x<DATA_SIZE-1;x+=sideLength){
for(int y=0;y<DATA_SIZE-1;y+=sideLength){
//x, y is upper left corner of square
//calculate average of existing corners
float avg = data[x][y] + //top left
data[x+sideLength][y] +//top right
data[x][y+sideLength] + //lower left
data[x+sideLength][y+sideLength];//lower right
avg /= 4.0;
//center is average plus random offset
data[x+halfSide][y+halfSide] =
//We calculate random value in range of 2h
//and then subtract h so the end value is
//in the range (-h, +h)
avg + (r.nextFloat()*2*h) - h;
valmax = Math.max(valmax, data[x+halfSide][y+halfSide]);
valmin = Math.min(valmin, data[x+halfSide][y+halfSide]);
}
}
//generate the diamond values
//since the diamonds are staggered we only move x
//by half side
//NOTE: if the data shouldn't wrap then x < DATA_SIZE
//to generate the far edge values
for(int x=0;x<DATA_SIZE-1;x+=halfSide){
//and y is x offset by half a side, but moved by
//the full side length
//NOTE: if the data shouldn't wrap then y < DATA_SIZE
//to generate the far edge values
for(int y=(x+halfSide)%sideLength;y<DATA_SIZE-1;y+=sideLength){
//x, y is center of diamond
//note we must use mod and add DATA_SIZE for subtraction
//so that we can wrap around the array to find the corners
float avg =
data[(x-halfSide+DATA_SIZE-1)%(DATA_SIZE-1)][y] + //left of center
data[(x+halfSide)%(DATA_SIZE-1)][y] + //right of center
data[x][(y+halfSide)%(DATA_SIZE-1)] + //below center
data[x][(y-halfSide+DATA_SIZE-1)%(DATA_SIZE-1)]; //above center
avg /= 4.0;
//new value = average plus random offset
//We calculate random value in range of 2h
//and then subtract h so the end value is
//in the range (-h, +h)
avg = avg + (r.nextFloat()*2*h) - h;
//update value for center of diamond
data[x][y] = avg;
valmax = Math.max(valmax, avg);
valmin = Math.min(valmin, avg);
//wrap values on the edges, remove
//this and adjust loop condition above
//for non-wrapping values.
if(x == 0) data[DATA_SIZE-1][y] = avg;
if(y == 0) data[x][DATA_SIZE-1] = avg;
}
}
}
for(int i=0; i<width; i++) {
for(int j=0; j<height; j++) {
data[i][j] = (data[i][j] - valmin) / (valmax - valmin);
}
}
}
}
【讨论】: