001 | //插入排序: |
002 |
003 | package org.rut.util.algorithm.support; |
004 |
005 | import org.rut.util.algorithm.SortUtil; |
006 | /** |
007 | * @author treeroot |
008 | * @since 2006-2-2 |
009 | * @version 1.0 |
010 | */ |
011 | public class
InsertSort implements
SortUtil.Sort{ |
012 |
013 | /** (non-Javadoc) |
014 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
015 | */ |
016 | public
void sort( int [] data) { |
017 | int
temp; |
018 | for ( int
i= 1 ;i<data.length;i++){ |
019 | for ( int
j=i;(j> 0 )&&(data[j]<data[j- 1 ]);j--){ |
020 | SortUtil.swap(data,j,j- 1 ); |
021 | } |
022 | }
|
023 | } |
024 |
025 | } |
026 | //冒泡排序: |
027 |
028 |
029 | for (var i= 0 ; i<arr.length; i++) {
|
030 | for (var j=i+ 1 ; j<=arr.length- 1 ; j++) { |
031 | if (eval(arr[i]) < eval(arr[j])) {
|
032 | temp = arr[i];
|
033 | arr[i] = arr[j];
|
034 | arr[j] = temp;
|
035 | } |
036 | } |
037 | } |
038 |
039 |
040 |
041 | package org.rut.util.algorithm.support; |
042 |
043 | import org.rut.util.algorithm.SortUtil; |
044 |
045 | /** |
046 | * @author treeroot |
047 | * @since 2006-2-2 |
048 | * @version 1.0 |
049 | */ |
050 | public class
BubbleSort implements
SortUtil.Sort{ |
051 |
052 | /** (non-Javadoc) |
053 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
054 | */ |
055 | public
void sort( int [] data) { |
056 | int
temp; |
057 | for ( int
i= 0 ;i<data.length;i++){ |
058 | for ( int
j=data.length- 1 ;j>i;j--){ |
059 | if (data[j]<data[j- 1 ]){ |
060 | SortUtil.swap(data,j,j- 1 ); |
061 | } |
062 | } |
063 | } |
064 | } |
065 |
066 | } |
067 |
068 | //选择排序: |
069 |
070 | package org.rut.util.algorithm.support; |
071 |
072 | import org.rut.util.algorithm.SortUtil; |
073 |
074 | /** |
075 | * @author treeroot |
076 | * @since 2006-2-2 |
077 | * @version 1.0 |
078 | */ |
079 | public class
SelectionSort implements
SortUtil.Sort { |
080 |
081 | /** |
082 | * (non-Javadoc) |
083 | *
|
084 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
085 | */ |
086 | public
void sort( int [] data) { |
087 | int
temp; |
088 | for
( int
i = 0 ; i < data.length; i++) { |
089 | int
lowIndex = i; |
090 | for
( int
j = data.length - 1 ; j > i; j--) { |
091 | if
(data[j] < data[lowIndex]) { |
092 | lowIndex = j; |
093 | } |
094 | } |
095 | SortUtil.swap(data,i,lowIndex); |
096 | } |
097 | } |
098 |
099 | } |
100 |
101 | //Shell排序: |
102 |
103 | package org.rut.util.algorithm.support; |
104 |
105 | import org.rut.util.algorithm.SortUtil; |
106 |
107 | /** |
108 | * @author treeroot |
109 | * @since 2006-2-2 |
110 | * @version 1.0 |
111 | */ |
112 | public class
ShellSort implements
SortUtil.Sort{ |
113 |
114 | /** (non-Javadoc) |
115 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
116 | */ |
117 | public
void sort( int [] data) { |
118 | for ( int
i=data.length/ 2 ;i> 2 ;i/= 2 ){ |
119 | for ( int
j= 0 ;j<i;j++){ |
120 | insertSort(data,j,i); |
121 | } |
122 | } |
123 | insertSort(data, 0 , 1 ); |
124 | } |
125 |
126 | /** |
127 | * @param data |
128 | * @param j |
129 | * @param i |
130 | */ |
131 | private
void insertSort( int [] data,
int start, int
inc) { |
132 | int
temp; |
133 | for ( int
i=start+inc;i<data.length;i+=inc){ |
134 | for ( int
j=i;(j>=inc)&&(data[j]<data[j-inc]);j-=inc){ |
135 | SortUtil.swap(data,j,j-inc); |
136 | } |
137 | } |
138 | } |
139 |
140 | } |
141 |
142 | //快速排序: |
143 |
144 | package org.rut.util.algorithm.support; |
145 |
146 | import org.rut.util.algorithm.SortUtil; |
147 |
148 | /** |
149 | * @author treeroot |
150 | * @since 2006-2-2 |
151 | * @version 1.0 |
152 | */ |
153 | public class
QuickSort implements
SortUtil.Sort{ |
154 |
155 | /** (non-Javadoc) |
156 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
157 | */ |
158 | public
void sort( int [] data) { |
159 | quickSort(data, 0 ,data.length- 1 );
|
160 | } |
161 | private
void quickSort( int [] data, int
i, int
j){ |
162 | int
pivotIndex=(i+j)/ 2 ; |
163 | //swap |
164 | SortUtil.swap(data,pivotIndex,j); |
165 | |
166 | int
k=partition(data,i- 1 ,j,data[j]); |
167 | SortUtil.swap(data,k,j); |
168 | if ((k-i)> 1 ) quickSort(data,i,k- 1 ); |
169 | if ((j-k)> 1 ) quickSort(data,k+ 1 ,j); |
170 | |
171 | } |
172 | /** |
173 | * @param data |
174 | * @param i |
175 | * @param j |
176 | * @return |
177 | */ |
178 | private
int partition( int [] data,
int l, int
r, int
pivot) { |
179 | do { |
180 | while (data[++l]<pivot); |
181 | while ((r!= 0 )&&data[--r]>pivot); |
182 | SortUtil.swap(data,l,r); |
183 | } |
184 | while (l<r); |
185 | SortUtil.swap(data,l,r);
|
186 | return
l; |
187 | } |
188 |
189 | } |
190 | //改进后的快速排序: |
191 |
192 | package org.rut.util.algorithm.support; |
193 |
194 | import org.rut.util.algorithm.SortUtil; |
195 |
196 | /** |
197 | * @author treeroot |
198 | * @since 2006-2-2 |
199 | * @version 1.0 |
200 | */ |
201 | public class
ImprovedQuickSort implements
SortUtil.Sort { |
202 |
203 | private
static int
MAX_STACK_SIZE= 4096 ; |
204 | private
static int
THRESHOLD= 10 ; |
205 | /** (non-Javadoc) |
206 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
207 | */ |
208 | public
void sort( int [] data) { |
209 | int [] stack= new
int [MAX_STACK_SIZE]; |
210 | |
211 | int
top=- 1 ; |
212 | int
pivot; |
213 | int
pivotIndex,l,r; |
214 | |
215 | stack[++top]= 0 ; |
216 | stack[++top]=data.length- 1 ; |
217 | |
218 | while (top> 0 ){ |
219 | int
j=stack[top--]; |
220 | int
i=stack[top--]; |
221 | |
222 | pivotIndex=(i+j)/ 2 ; |
223 | pivot=data[pivotIndex]; |
224 | |
225 | SortUtil.swap(data,pivotIndex,j); |
226 | |
227 | //partition |
228 | l=i- 1 ; |
229 | r=j; |
230 | do { |
231 | while (data[++l]<pivot); |
232 | while ((r!= 0 )&&(data[--r]>pivot)); |
233 | SortUtil.swap(data,l,r); |
234 | } |
235 | while (l<r); |
236 | SortUtil.swap(data,l,r); |
237 | SortUtil.swap(data,l,j); |
238 | |
239 | if ((l-i)>THRESHOLD){ |
240 | stack[++top]=i; |
241 | stack[++top]=l- 1 ; |
242 | } |
243 | if ((j-l)>THRESHOLD){ |
244 | stack[++top]=l+ 1 ; |
245 | stack[++top]=j; |
246 | } |
247 | |
248 | } |
249 | //new InsertSort().sort(data); |
250 | insertSort(data); |
251 | } |
252 | /** |
253 | * @param data |
254 | */ |
255 | private
void insertSort( int [] data) { |
256 | int
temp; |
257 | for ( int
i= 1 ;i<data.length;i++){ |
258 | for ( int
j=i;(j> 0 )&&(data[j]<data[j- 1 ]);j--){ |
259 | SortUtil.swap(data,j,j- 1 ); |
260 | } |
261 | }
|
262 | } |
263 |
264 | } |
265 |
266 | //归并排序: |
267 |
268 | package org.rut.util.algorithm.support; |
269 |
270 | import org.rut.util.algorithm.SortUtil; |
271 |
272 | /** |
273 | * @author treeroot |
274 | * @since 2006-2-2 |
275 | * @version 1.0 |
276 | */ |
277 | public class
MergeSort implements
SortUtil.Sort{ |
278 |
279 | /** (non-Javadoc) |
280 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
281 | */ |
282 | public
void sort( int [] data) { |
283 | int [] temp= new
int [data.length]; |
284 | mergeSort(data,temp, 0 ,data.length- 1 ); |
285 | } |
286 | |
287 | private
void mergeSort( int [] data, int [] temp, int
l, int
r){ |
288 | int
mid=(l+r)/ 2 ; |
289 | if (l==r)
return ; |
290 | mergeSort(data,temp,l,mid); |
291 | mergeSort(data,temp,mid+ 1 ,r); |
292 | for ( int
i=l;i<=r;i++){ |
293 | temp[i]=data[i]; |
294 | } |
295 | int
i1=l; |
296 | int
i2=mid+ 1 ; |
297 | for ( int
cur=l;cur<=r;cur++){ |
298 | if (i1==mid+ 1 ) |
299 | data[cur]=temp[i2++]; |
300 | else
if (i2>r) |
301 | data[cur]=temp[i1++]; |
302 | else
if (temp[i1]<temp[i2]) |
303 | data[cur]=temp[i1++]; |
304 | else |
305 | data[cur]=temp[i2++];
|
306 | } |
307 | } |
308 |
309 | } |
310 |
311 | //改进后的归并排序: |
312 |
313 | package org.rut.util.algorithm.support; |
314 |
315 | import org.rut.util.algorithm.SortUtil; |
316 |
317 | /** |
318 | * @author treeroot |
319 | * @since 2006-2-2 |
320 | * @version 1.0 |
321 | */ |
322 | public class
ImprovedMergeSort implements
SortUtil.Sort { |
323 |
324 | private
static final
int THRESHOLD = 10 ; |
325 |
326 | /** |
327 | * (non-Javadoc) |
328 | *
|
329 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
330 | */ |
331 | public
void sort( int [] data) { |
332 | int [] temp= new
int [data.length]; |
333 | mergeSort(data,temp, 0 ,data.length- 1 ); |
334 | } |
335 |
336 | private
void mergeSort( int [] data,
int [] temp, int
l, int
r) { |
337 | int
i, j, k; |
338 | int
mid = (l + r) / 2 ; |
339 | if
(l == r) |
340 | return ; |
341 | if
((mid - l) >= THRESHOLD) |
342 | mergeSort(data, temp, l, mid); |
343 | else |
344 | insertSort(data, l, mid - l +
1 ); |
345 | if
((r - mid) > THRESHOLD) |
346 | mergeSort(data, temp, mid +
1 , r); |
347 | else |
348 | insertSort(data, mid +
1 , r - mid); |
349 |
350 | for
(i = l; i <= mid; i++) { |
351 | temp[i] = data[i]; |
352 | } |
353 | for
(j = 1 ; j <= r - mid; j++) { |
354 | temp[r - j +
1 ] = data[j + mid]; |
355 | } |
356 | int
a = temp[l]; |
357 | int
b = temp[r]; |
358 | for
(i = l, j = r, k = l; k <= r; k++) { |
359 | if
(a < b) { |
360 | data[k] = temp[i++]; |
361 | a = temp[i]; |
362 | }
else { |
363 | data[k] = temp[j--]; |
364 | b = temp[j]; |
365 | } |
366 | } |
367 | } |
368 |
369 | /** |
370 | * @param data |
371 | * @param l |
372 | * @param i |
373 | */ |
374 | private
void insertSort( int [] data,
int start, int
len) { |
375 | for ( int
i=start+ 1 ;i<start+len;i++){ |
376 | for ( int
j=i;(j>start) && data[j]<data[j- 1 ];j--){ |
377 | SortUtil.swap(data,j,j- 1 ); |
378 | } |
379 | } |
380 | } |
381 |
382 | } |
383 | //堆排序: |
384 |
385 | package org.rut.util.algorithm.support; |
386 |
387 | import org.rut.util.algorithm.SortUtil; |
388 |
389 | /** |
390 | * @author treeroot |
391 | * @since 2006-2-2 |
392 | * @version 1.0 |
393 | */ |
394 | public class
HeapSort implements
SortUtil.Sort{ |
395 |
396 | /** (non-Javadoc) |
397 | * @see org.rut.util.algorithm.SortUtil.Sort#sort(int[]) |
398 | */ |
399 | public
void sort( int [] data) { |
400 | MaxHeap h= new
MaxHeap(); |
401 | h.init(data); |
402 | for ( int
i= 0 ;i<data.length;i++) |
403 | h.remove(); |
404 | System.arraycopy(h.queue, 1 ,data, 0 ,data.length); |
405 | } |
406 |
407 |
408 | private
static class
MaxHeap{ |
409 | |
410 | |
411 | void
init( int [] data){ |
412 | this .queue= new
int [data.length+ 1 ]; |
413 | for ( int
i= 0 ;i<data.length;i++){ |
414 | queue[++size]=data[i]; |
415 | fixUp(size); |
416 | } |
417 | } |
418 | |
419 | private
int size= 0 ; |
420 |
421 | private
int [] queue; |
422 | |
423 | public
int get() { |
424 | return
queue[ 1 ]; |
425 | } |
426 |
427 | public
void remove() { |
428 | SortUtil.swap(queue, 1 ,size--); |
429 | fixDown( 1 ); |
430 | } |
431 | //fixdown |
432 | private
void fixDown( int
k) { |
433 | int
j; |
434 | while
((j = k << 1 ) <= size) { |
435 | if
(j < size && queue[j]<queue[j+ 1 ]) |
436 | j++;
|
437 | if
(queue[k]>queue[j]) //不用交换 |
438 | break ; |
439 | SortUtil.swap(queue,j,k); |
440 | k = j; |
441 | } |
442 | } |
443 | private
void fixUp( int
k) { |
444 | while
(k > 1 ) { |
445 | int
j = k >> 1 ; |
446 | if
(queue[j]>queue[k]) |
447 | break ; |
448 | SortUtil.swap(queue,j,k); |
449 | k = j; |
450 | } |
451 | } |
452 |
453 | } |
454 |
455 | } |
456 |
457 | |
458 |
459 | //SortUtil: |
460 |
461 | package org.rut.util.algorithm; |
462 |
463 | import org.rut.util.algorithm.support.BubbleSort; |
464 | import org.rut.util.algorithm.support.HeapSort; |
465 | import org.rut.util.algorithm.support.ImprovedMergeSort; |
466 | import org.rut.util.algorithm.support.ImprovedQuickSort; |
467 | import org.rut.util.algorithm.support.InsertSort; |
468 | import org.rut.util.algorithm.support.MergeSort; |
469 | import org.rut.util.algorithm.support.QuickSort; |
470 | import org.rut.util.algorithm.support.SelectionSort; |
471 | import org.rut.util.algorithm.support.ShellSort; |
472 |
473 | /** |
474 | * @author treeroot |
475 | * @since 2006-2-2 |
476 | * @version 1.0 |
477 | */ |
478 | public class
SortUtil { |
479 | public
final static
int INSERT = 1 ; |
480 |
481 | public
final static
int BUBBLE = 2 ; |
482 |
483 | public
final static
int SELECTION = 3 ; |
484 |
485 | public
final static
int SHELL = 4 ; |
486 |
487 | public
final static
int QUICK = 5 ; |
488 |
489 | public
final static
int IMPROVED_QUICK = 6 ; |
490 |
491 | public
final static
int MERGE = 7 ; |
492 |
493 | public
final static
int IMPROVED_MERGE = 8 ; |
494 |
495 | public
final static
int HEAP = 9 ; |
496 |
497 | public
static void
sort( int [] data) { |
498 | sort(data, IMPROVED_QUICK); |
499 | } |
500 | private
static String[] name={ |
501 | "insert" , "bubble" , "selection" , "shell" , "quick" , "improved_quick" , "merge" , "improved_merge" , "heap" |
502 | }; |
503 | |
504 | private
static Sort[] impl= new
Sort[]{ |
505 | new
InsertSort(), |
506 | new
BubbleSort(), |
507 | new
SelectionSort(), |
508 | new
ShellSort(), |
509 | new
QuickSort(), |
510 | new
ImprovedQuickSort(), |
511 | new
MergeSort(), |
512 | new
ImprovedMergeSort(), |
513 | new
HeapSort() |
514 | }; |
515 |
516 | public
static String toString( int
algorithm){ |
517 | return
name[algorithm- 1 ]; |
518 | } |
519 | |
520 | public
static void
sort( int [] data, int
algorithm) { |
521 | impl[algorithm- 1 ].sort(data); |
522 | } |
523 |
524 | public
static interface
Sort { |
525 | public
void sort( int [] data); |
526 | } |
527 |
528 | public
static void
swap( int [] data, int
i, int
j) { |
529 | int
temp = data[i]; |
530 | data[i] = data[j]; |
531 | data[j] = temp; |
532 | } |
533 | } |