开源 企业版 高校版 私有云 模力方舟 AI 队友
代码拉取完成,页面将自动刷新
加入 Gitee
与超过 1400万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)
免费加入
已有帐号? 立即登录
文件
master
分支 (3)
master
Development
nikhilkala-patch-1
master
分支 (3)
master
Development
nikhilkala-patch-1
克隆/下载
克隆/下载
提示
下载代码请复制以下命令到终端执行
为确保你提交的代码身份被 Gitee 正确识别,请执行以下命令完成配置
初次使用 SSH 协议进行代码克隆、推送等操作时,需按下述提示完成 SSH 配置
1 生成 RSA 密钥
2 获取 RSA 公钥内容,并配置到 SSH公钥
在 Gitee 上使用 SVN,请访问 使用指南
使用 HTTPS 协议时,命令行会出现如下账号密码验证步骤。基于安全考虑,Gitee 建议 配置并使用私人令牌 替代登录密码进行克隆、推送等操作
Username for 'https://gitee.com': userName
Password for 'https://userName@gitee.com': # 私人令牌
master
分支 (3)
master
Development
nikhilkala-patch-1
Java-Algorithm
/
divideconquer
/
ClosestPair.java
Java-Algorithm
/
divideconquer
/
ClosestPair.java
ClosestPair.java 12.20 KB
一键复制 编辑 原始数据 按行查看 历史
ylb 提交于 2019年05月09日 19:32 +08:00 . docs: update the whole repository
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372
package divideconquer;
/**
* For a set of points in a coordinates system (10000 maximum),
* ClosestPair class calculates the two closest points.
*
* @author: anonymous
* @author: Marisa Afuera
*/
public final class ClosestPair {
/**
* Number of points
*/
int numberPoints = 0;
/**
* Input data, maximum 10000.
*/
private Location[] array;
/**
* Minimum point coordinate.
*/
Location point1 = null;
/**
* Minimum point coordinate.
*/
Location point2 = null;
/**
* Minimum point length.
*/
private static double minNum = Double.MAX_VALUE;
/**
* secondCount
*/
private static int secondCount = 0;
/**
* Constructor.
*/
ClosestPair(int points) {
numberPoints = points;
array = new Location[numberPoints];
}
/**
* Location class is an auxiliary type to keep points coordinates.
*/
public static class Location {
double x = 0;
double y = 0;
/**
* @param xpar (IN Parameter) x coordinate <br/>
* @param ypar (IN Parameter) y coordinate <br/>
*/
Location(final double xpar, final double ypar) { //Save x, y coordinates
this.x = xpar;
this.y = ypar;
}
}
public Location[] createLocation(int numberValues) {
return new Location[numberValues];
}
public Location buildLocation(double x, double y) {
return new Location(x, y);
}
/**
* xPartition function: arrange x-axis.
*
* @param a (IN Parameter) array of points <br/>
* @param first (IN Parameter) first point <br/>
* @param last (IN Parameter) last point <br/>
* @return pivot index
*/
public int xPartition(
final Location[] a, final int first, final int last) {
Location pivot = a[last]; // pivot
int pIndex = last;
int i = first - 1;
Location temp; // Temporarily store value for position transformation
for (int j = first; j <= last - 1; j++) {
if (a[j].x <= pivot.x) { // Less than or less than pivot
i++;
temp = a[i]; // array[i] <-> array[j]
a[i] = a[j];
a[j] = temp;
}
}
i++;
temp = a[i]; // array[pivot] <-> array[i]
a[i] = a[pIndex];
a[pIndex] = temp;
return i; // pivot index
}
/**
* yPartition function: arrange y-axis.
*
* @param a (IN Parameter) array of points <br/>
* @param first (IN Parameter) first point <br/>
* @param last (IN Parameter) last point <br/>
* @return pivot index
*/
public int yPartition(
final Location[] a, final int first, final int last) {
Location pivot = a[last]; // pivot
int pIndex = last;
int i = first - 1;
Location temp; // Temporarily store value for position transformation
for (int j = first; j <= last - 1; j++) {
if (a[j].y <= pivot.y) { // Less than or less than pivot
i++;
temp = a[i]; // array[i] <-> array[j]
a[i] = a[j];
a[j] = temp;
}
}
i++;
temp = a[i]; // array[pivot] <-> array[i]
a[i] = a[pIndex];
a[pIndex] = temp;
return i; // pivot index
}
/**
* xQuickSort function: //x-axis Quick Sorting.
*
* @param a (IN Parameter) array of points <br/>
* @param first (IN Parameter) first point <br/>
* @param last (IN Parameter) last point <br/>
*/
public void xQuickSort(
final Location[] a, final int first, final int last) {
if (first < last) {
int q = xPartition(a, first, last); // pivot
xQuickSort(a, first, q - 1); // Left
xQuickSort(a, q + 1, last); // Right
}
}
/**
* yQuickSort function: //y-axis Quick Sorting.
*
* @param a (IN Parameter) array of points <br/>
* @param first (IN Parameter) first point <br/>
* @param last (IN Parameter) last point <br/>
*/
public void yQuickSort(
final Location[] a, final int first, final int last) {
if (first < last) {
int q = yPartition(a, first, last); // pivot
yQuickSort(a, first, q - 1); // Left
yQuickSort(a, q + 1, last); // Right
}
}
/**
* closestPair function: find closest pair.
*
* @param a (IN Parameter) array stored before divide <br/>
* @param indexNum (IN Parameter) number coordinates divideArray <br/>
* @return minimum distance <br/>
*/
public double closestPair(final Location[] a, final int indexNum) {
Location[] divideArray = new Location[indexNum];
System.arraycopy(a, 0, divideArray, 0, indexNum); // Copy previous array
int totalNum = indexNum; // number of coordinates in the divideArray
int divideX = indexNum / 2; // Intermediate value for divide
Location[] leftArray = new Location[divideX]; //divide - left array
//divide-right array
Location[] rightArray = new Location[totalNum - divideX];
if (indexNum <= 3) { // If the number of coordinates is 3 or less
return bruteForce(divideArray);
}
//divide-left array
System.arraycopy(divideArray, 0, leftArray, 0, divideX);
//divide-right array
System.arraycopy(
divideArray, divideX, rightArray, 0, totalNum - divideX);
double minLeftArea = 0; //Minimum length of left array
double minRightArea = 0; //Minimum length of right array
double minValue = 0; //Minimum lengt
minLeftArea = closestPair(leftArray, divideX); // recursive closestPair
minRightArea = closestPair(rightArray, totalNum - divideX);
// window size (= minimum length)
minValue = Math.min(minLeftArea, minRightArea);
// Create window. Set the size for creating a window
// and creating a new array for the coordinates in the window
for (int i = 0; i < totalNum; i++) {
double xGap = Math.abs(divideArray[divideX].x - divideArray[i].x);
if (xGap < minValue) {
secondCount++; // size of the array
} else {
if (divideArray[i].x > divideArray[divideX].x) {
break;
}
}
}
// new array for coordinates in window
Location[] firstWindow = new Location[secondCount];
int k = 0;
for (int i = 0; i < totalNum; i++) {
double xGap = Math.abs(divideArray[divideX].x - divideArray[i].x);
if (xGap < minValue) { // if it's inside a window
firstWindow[k] = divideArray[i]; // put in an array
k++;
} else {
if (divideArray[i].x > divideArray[divideX].x) {
break;
}
}
}
yQuickSort(firstWindow, 0, secondCount - 1); // Sort by y coordinates
/* Coordinates in Window */
double length = 0;
// size comparison within window
for (int i = 0; i < secondCount - 1; i++) {
for (int j = (i + 1); j < secondCount; j++) {
double xGap = Math.abs(firstWindow[i].x - firstWindow[j].x);
double yGap = Math.abs(firstWindow[i].y - firstWindow[j].y);
if (yGap < minValue) {
length = Math.sqrt(Math.pow(xGap, 2) + Math.pow(yGap, 2));
// If measured distance is less than current min distance
if (length < minValue) {
// Change minimum distance to current distance
minValue = length;
// Conditional for registering final coordinate
if (length < minNum) {
minNum = length;
point1 = firstWindow[i];
point2 = firstWindow[j];
}
}
} else {
break;
}
}
}
secondCount = 0;
return minValue;
}
/**
* bruteForce function: When the number of coordinates is less than 3.
*
* @param arrayParam (IN Parameter) array stored before divide <br/>
* @return <br/>
*/
public double bruteForce(final Location[] arrayParam) {
double minValue = Double.MAX_VALUE; // minimum distance
double length = 0;
double xGap = 0; // Difference between x coordinates
double yGap = 0; // Difference between y coordinates
double result = 0;
if (arrayParam.length == 2) {
// Difference between x coordinates
xGap = (arrayParam[0].x - arrayParam[1].x);
// Difference between y coordinates
yGap = (arrayParam[0].y - arrayParam[1].y);
// distance between coordinates
length = Math.sqrt(Math.pow(xGap, 2) + Math.pow(yGap, 2));
// Conditional statement for registering final coordinate
if (length < minNum) {
minNum = length;
}
point1 = arrayParam[0];
point2 = arrayParam[1];
result = length;
}
if (arrayParam.length == 3) {
for (int i = 0; i < arrayParam.length - 1; i++) {
for (int j = (i + 1); j < arrayParam.length; j++) {
// Difference between x coordinates
xGap = (arrayParam[i].x - arrayParam[j].x);
// Difference between y coordinates
yGap = (arrayParam[i].y - arrayParam[j].y);
// distance between coordinates
length =
Math.sqrt(Math.pow(xGap, 2) + Math.pow(yGap, 2));
// If measured distance is less than current min distance
if (length < minValue) {
// Change minimum distance to current distance
minValue = length;
if (length < minNum) {
// Registering final coordinate
minNum = length;
point1 = arrayParam[i];
point2 = arrayParam[j];
}
}
}
}
result = minValue;
}
return result; // If only one point returns 0.
}
/**
* main function: execute class.
*
* @param args (IN Parameter) <br/>
* @throws IOException If an input or output
* exception occurred
*/
public static void main(final String[] args) {
//Input data consists of one x-coordinate and one y-coordinate
ClosestPair cp = new ClosestPair(12);
cp.array[0] = cp.buildLocation(2, 3);
cp.array[1] = cp.buildLocation(2, 16);
cp.array[2] = cp.buildLocation(3, 9);
cp.array[3] = cp.buildLocation(6, 3);
cp.array[4] = cp.buildLocation(7, 7);
cp.array[5] = cp.buildLocation(19, 4);
cp.array[6] = cp.buildLocation(10, 11);
cp.array[7] = cp.buildLocation(15, 2);
cp.array[8] = cp.buildLocation(15, 19);
cp.array[9] = cp.buildLocation(16, 11);
cp.array[10] = cp.buildLocation(17, 13);
cp.array[11] = cp.buildLocation(9, 12);
System.out.println("Input data");
System.out.println("Number of points: " + cp.array.length);
for (int i = 0; i < cp.array.length; i++) {
System.out.println("x: " + cp.array[i].x + ", y: " + cp.array[i].y);
}
cp.xQuickSort(cp.array, 0, cp.array.length - 1); // Sorting by x value
double result; // minimum distance
result = cp.closestPair(cp.array, cp.array.length);
// ClosestPair start
// minimum distance coordinates and distance output
System.out.println("Output Data");
System.out.println("(" + cp.point1.x + ", " + cp.point1.y + ")");
System.out.println("(" + cp.point2.x + ", " + cp.point2.y + ")");
System.out.println("Minimum Distance : " + result);
}
}
Loading...
举报
举报成功
我们将于2个工作日内通过站内信反馈结果给你!
请认真填写举报原因,尽可能描述详细。
请选择举报类型
取消
发送
误判申诉

此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。

如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。

取消
提交

简介

取消

发行版

暂无发行版

贡献者

全部

近期动态

不能加载更多了
编辑仓库简介
简介内容
主页
马建仓 AI 助手
尝试更多
代码解读
代码找茬
代码优化
Java
1
https://gitee.com/lxw01/Java-Algorithm.git
git@gitee.com:lxw01/Java-Algorithm.git
lxw01
Java-Algorithm
Java-Algorithm
master
点此查找更多帮助

搜索帮助

评论
仓库举报
回到顶部
登录提示
该操作需登录 Gitee 帐号,请先登录后再操作。
立即登录
没有帐号,去注册

AltStyle によって変換されたページ (->オリジナル) /