Algorithm M位圆移位N尺寸阵列的最快算法
对于M个位置的圆移位阵列,最快的算法是什么Algorithm M位圆移位N尺寸阵列的最快算法,algorithm,arrays,math,puzzle,programming-pearls,Algorithm,Arrays,Math,Puzzle,Programming Pearls,对于M个位置的圆移位阵列,最快的算法是什么 例如,[3 4 5 2 3 1 4]移位M=2位置应为[1 4 3 4 5 2 3] 非常感谢。使用指针进行设置,几乎不需要时间。每个元素都指向下一个,而“last”(没有last;毕竟,您说过它是循环的)指向第一个元素。一个指向“开始”(第一个元素)的指针,可能还有一个长度,就有了数组。现在,要进行轮班,只需沿着圆圈移动起始指针 要求一个好的算法,你就会得到明智的想法。要求最快的速度,你会得到奇怪的想法 根据您使用的数据结构,您可以在O(1)中完成。
例如,
[3 4 5 2 3 1 4]
移位M=2位置应为[1 4 3 4 5 2 3]
非常感谢。使用指针进行设置,几乎不需要时间。每个元素都指向下一个,而“last”(没有last;毕竟,您说过它是循环的)指向第一个元素。一个指向“开始”(第一个元素)的指针,可能还有一个长度,就有了数组。现在,要进行轮班,只需沿着圆圈移动起始指针
要求一个好的算法,你就会得到明智的想法。要求最快的速度,你会得到奇怪的想法 根据您使用的数据结构,您可以在O(1)中完成。我认为最快的方法是以链表的形式保存数组,并拥有一个哈希表,该哈希表可以在数组中的“索引”到条目的“指针”之间进行转换。这样,您可以在O(1)中找到相关的头和尾,并在O(1)中重新连接(并在O(1)中的切换之后更新哈希表)。这当然是一个非常“混乱”的解决方案,但如果您只对移位的速度感兴趣,那就可以了(代价是在数组中插入和查找的时间更长,但仍然是O(1)) 如果你有一个纯数组中的数据,我认为你不能避免O(n) 就编码而言,这取决于您使用的语言 例如,在Python中,您可以“切片”它(假设n是移位大小):
(我知道哈希查找在理论上不是O(1),但我们在这里是实际的,而不是理论的,至少我希望如此…这只是一个表示问题。将当前索引保持为整数变量,并在遍历数组时使用模运算符了解何时换行。然后,移位只是更改当前索引的值,将其环绕在数组的大小上。这当然是O(1) 例如:
int index = 0;
Array a = new Array[SIZE];
get_next_element() {
index = (index + 1) % SIZE;
return a[index];
}
shift(int how_many) {
index = (index+how_many) % SIZE;
}
如果您想要O(n)时间且不需要额外的内存使用(因为指定了数组),请使用Jon Bentley的书《编程珍珠第二版》中的算法。它将所有元素交换两次。没有使用链表那么快,但是使用更少的内存,而且概念上很简单
shiftArray( theArray, M ):
size = len( theArray )
assert( size > M )
reverseArray( theArray, 0, size - 1 )
reverseArray( theArray, 0, M - 1 )
reverseArray( theArray, M, size - 1 )
reverseArray(anArray、startIndex、endIndex)将元素的顺序从startIndex反转为endIndex(包括endIndex)。将两个索引保留到数组,一个索引从数组的开头开始到数组的结尾。另一个索引从最后的第M个位置开始,并在最后的M个元素中循环任意次数。始终取O(n)。不需要额外的空间
circleArray(Elements,M){
int size=size-of(Elements);
//first index
int i1=0;
assert(size>M)
//second index starting from mth position from the last
int i2=size-M;
//until first index reaches the end
while(i1<size-1){
//swap the elements of the array pointed by both indexes
swap(i1,i2,Elements);
//increment first pointer by 1
i1++;
//increment second pointer. if it goes out of array, come back to
//mth position from the last
if(++i2==size) i2=size-M;
}
}
circleArray(元素,M){
int size=元素的大小;
//第一索引
int i1=0;
断言(大小>M)
//第二个索引从最后一个位置的第m个位置开始
int i2=尺寸-M;
//直到第一个索引到达末尾
而(i1circleArray
有一些错误,并且在所有情况下都不工作
当i1
不是i1
时,循环必须继续
void Shift(int* _array, int _size, int _moves)
{
_moves = _size - _moves;
int i2 = _moves;
int i1 = -1;
while(++i1 < i2)
{
int tmp = _array[i2];
_array[i2] = _array[i1];
_array[i1] = tmp;
if(++i2 == _size) i2 = _moves;
}
}
void Shift(int*\u数组、int大小、int移动)
{
_移动=\u大小-\u移动;
int i2=_移动;
inti1=-1;
而(++i1
静态int[]移位(int-arr[],int-index,int-k,int-rem)
{
如果(k=阵列长度)
{
返回arr;
}
int temp=arr[索引];
arr=位移(arr,(指数+k)%arr.length,k,rem-1);
arr[(索引+k)%arr.length]=温度;
返回arr;
}
如果您对Java实现感兴趣,请参阅以下内容:
C数组shift right函数。如果shift为负数,则函数将数组向左移动。
它经过优化以减少内存使用。运行时间为O(n)
void arrayshift right(int-array[],int-size,int-shift){
内伦;
//减班
移位%=大小;
//如果换档小于0-重定向向左换档
如果(移位<0){
移位+=大小;
}
len=尺寸-位移;
//选择需要较少内存的算法
如果(移位=0;i--,j--){
数组[i]=数组[j];
}
//从tmp数组插入丢失的值
for(int i=0;i
此代码即使在负移位k时也能正常工作这应该可以循环移位arry:
输入:{1,2,3,5,6,7,8};
forloops之后数组中存在的输出值:{8,7,1,2,3,5,6,8,7}
class Program
{
static void Main(string[] args)
{
int[] array = { 1, 2, 3, 5, 6, 7, 8 };
int index = 2;
int[] tempArray = new int[array.Length];
array.CopyTo(tempArray, 0);
for (int i = 0; i < array.Length - index; i++)
{
array[index + i] = tempArray[i];
}
for (int i = 0; i < index; i++)
{
array[i] = tempArray[array.Length -1 - i];
}
}
}
类程序
{
静态void Main(字符串[]参数)
{
int[]数组={1,2,3,5,6,7,8};
int指数=2;
int[]tempArray=newint[array.Length];
CopyTo(tempArray,0);
for(int i=0;i
Ruby示例:
def move_cyclic2 array, move_cnt
move_cnt = array.length - move_cnt % array.length
if !(move_cnt == 0 || move_cnt == array.length)
array.replace( array[move_cnt..-1] + array[0...move_cnt] )
end
end
理论上,最快的循环是这样的:
if (begin != middle && middle != end)
{
for (i = middle; ; )
{
swap(arr[begin++], arr[i++]);
if (begin == middle && i == end) { break; }
if (begin == middle) { middle = i; }
else if (i == end) { i = middle; }
}
}
在实践中,你应该专业
class Program
{
static void Main(string[] args)
{
int[] array = { 1, 2, 3, 5, 6, 7, 8 };
int index = 2;
int[] tempArray = new int[array.Length];
array.CopyTo(tempArray, 0);
for (int i = 0; i < array.Length - index; i++)
{
array[index + i] = tempArray[i];
}
for (int i = 0; i < index; i++)
{
array[i] = tempArray[array.Length -1 - i];
}
}
}
def move_cyclic2 array, move_cnt
move_cnt = array.length - move_cnt % array.length
if !(move_cnt == 0 || move_cnt == array.length)
array.replace( array[move_cnt..-1] + array[0...move_cnt] )
end
end
if (begin != middle && middle != end)
{
for (i = middle; ; )
{
swap(arr[begin++], arr[i++]);
if (begin == middle && i == end) { break; }
if (begin == middle) { middle = i; }
else if (i == end) { i = middle; }
}
}
void shift_vec(vector<int>& v, size_t a)
{
size_t max_s = v.size() / a;
for( size_t s = 1; s < max_s; ++s )
for( size_t i = 0; i < a; ++i )
swap( v[i], v[s*a+i] );
for( size_t i = 0; i < a; ++i )
swap( v[i], v[(max_s*a+i) % v.size()] );
}
var shiftLeft = function(list, m) {
var from = 0;
var val = list[from];
var nextGroup = 1;
for(var i = 0; i < list.length; i++) {
var to = ((from - m) + list.length) % list.length;
if(to == from)
break;
var temp = list[to];
list[to] = val;
from = to;
val = temp;
if(from < nextGroup) {
from = nextGroup++;
val = list[from];
}
}
return list;
}
tmp = arr[0]; arr[0] = arr[1]; ... arr[7] = arr[8]; arr[8] = tmp;
// n is length(arr)
// shift is how many place to cycle shift left
void cycle_shift_left(int arr[], int n, int shift) {
int i, j, k, tmp;
if(n <= 1 || shift == 0) return;
shift = shift % n; // make sure shift isn't >n
int gcd = calc_GCD(n, shift);
for(i = 0; i < gcd; i++) {
// start cycle at i
tmp = arr[i];
for(j = i; 1; j = k) {
k = j+shift;
if(k >= n) k -= n; // wrap around if we go outside array
if(k == i) break; // end of cycle
arr[j] = arr[k];
}
arr[j] = tmp;
}
}
// circle shift an array left (towards index zero)
// - ptr array to shift
// - n number of elements
// - es size of elements in bytes
// - shift number of places to shift left
void array_cycle_left(void *_ptr, size_t n, size_t es, size_t shift)
{
char *ptr = (char*)_ptr;
if(n <= 1 || !shift) return; // cannot mod by zero
shift = shift % n; // shift cannot be greater than n
// Using GCD
size_t i, j, k, gcd = calc_GCD(n, shift);
char tmp[es];
// i is initial starting position
// Copy from k -> j, stop if k == i, since arr[i] already overwritten
for(i = 0; i < gcd; i++) {
memcpy(tmp, ptr+es*i, es); // tmp = arr[i]
for(j = i; 1; j = k) {
k = j+shift;
if(k >= n) k -= n;
if(k == i) break;
memcpy(ptr+es*j, ptr+es*k, es); // arr[j] = arr[k];
}
memcpy(ptr+es*j, tmp, es); // arr[j] = tmp;
}
}
// cycle right shifts away from zero
void array_cycle_right(void *_ptr, size_t n, size_t es, size_t shift)
{
if(!n || !shift) return; // cannot mod by zero
shift = shift % n; // shift cannot be greater than n
// cycle right by `s` is equivalent to cycle left by `n - s`
array_cycle_left(_ptr, n, es, n - shift);
}
// Get Greatest Common Divisor using binary GCD algorithm
// http://en.wikipedia.org/wiki/Binary_GCD_algorithm
unsigned int calc_GCD(unsigned int a, unsigned int b)
{
unsigned int shift, tmp;
if(a == 0) return b;
if(b == 0) return a;
// Find power of two divisor
for(shift = 0; ((a | b) & 1) == 0; shift++) { a >>= 1; b >>= 1; }
// Remove remaining factors of two from a - they are not common
while((a & 1) == 0) a >>= 1;
do
{
// Remove remaining factors of two from b - they are not common
while((b & 1) == 0) b >>= 1;
if(a > b) { tmp = a; a = b; b = tmp; } // swap a,b
b = b - a;
}
while(b != 0);
return a << shift;
}
#include <iostream>
#include <assert.h>
#include <cstring>
using namespace std;
struct VeryElaboratedDataType
{
int a;
int b;
};
namespace amsoft
{
namespace inutils
{
enum EShiftDirection
{
Left,
Right
};
template
<typename T,size_t len>
void infernalShift(T infernalArray[],int positions,EShiftDirection direction = EShiftDirection::Right)
{
//assert the dudes
assert(len > 0 && "what dude?");
assert(positions >= 0 && "what dude?");
if(positions > 0)
{
++positions;
//let's make it fit the range
positions %= len;
//if y want to live as a forcio, i'l get y change direction by force
if(!direction)
{
positions = len - positions;
}
// here I prepare a fine block of raw memory... allocate once per thread
static unsigned char WORK_BUFFER[len * sizeof(T)];
// std::memset (WORK_BUFFER,0,len * sizeof(T));
// clean or not clean?, well
// Hamlet is a prince, a prince does not clean
//copy the first chunk of data to the 0 position
std::memcpy(WORK_BUFFER,reinterpret_cast<unsigned char *>(infernalArray) + (positions)*sizeof(T),(len - positions)*sizeof(T));
//copy the second chunk of data to the len - positions position
std::memcpy(WORK_BUFFER+(len - positions)*sizeof(T),reinterpret_cast<unsigned char *>(infernalArray),positions * sizeof(T));
//now bulk copy back to original one
std::memcpy(reinterpret_cast<unsigned char *>(infernalArray),WORK_BUFFER,len * sizeof(T));
}
}
template
<typename T>
void printArray(T infernalArrayPrintable[],int len)
{
for(int i=0;i<len;i++)
{
std::cout << infernalArrayPrintable[i] << " ";
}
std::cout << std::endl;
}
template
<>
void printArray(VeryElaboratedDataType infernalArrayPrintable[],int len)
{
for(int i=0;i<len;i++)
{
std::cout << infernalArrayPrintable[i].a << "," << infernalArrayPrintable[i].b << " ";
}
std::cout << std::endl;
}
}
}
int main() {
// your code goes here
int myInfernalArray[] = {1,2,3,4,5,6,7,8,9};
VeryElaboratedDataType myInfernalArrayV[] = {{1,1},{2,2},{3,3},{4,4},{5,5},{6,6},{7,7},{8,8},{9,9}};
amsoft::inutils::printArray(myInfernalArray,sizeof(myInfernalArray)/sizeof(int));
amsoft::inutils::infernalShift<int,sizeof(myInfernalArray)/sizeof(int)>(myInfernalArray,4);
amsoft::inutils::printArray(myInfernalArray,sizeof(myInfernalArray)/sizeof(int));
amsoft::inutils::infernalShift<int,sizeof(myInfernalArray)/sizeof(int)>(myInfernalArray,4,amsoft::inutils::EShiftDirection::Left);
amsoft::inutils::printArray(myInfernalArray,sizeof(myInfernalArray)/sizeof(int));
amsoft::inutils::infernalShift<int,sizeof(myInfernalArray)/sizeof(int)>(myInfernalArray,10);
amsoft::inutils::printArray(myInfernalArray,sizeof(myInfernalArray)/sizeof(int));
amsoft::inutils::printArray(myInfernalArrayV,sizeof(myInfernalArrayV)/sizeof(VeryElaboratedDataType));
amsoft::inutils::infernalShift<VeryElaboratedDataType,sizeof(myInfernalArrayV)/sizeof(VeryElaboratedDataType)>(myInfernalArrayV,4);
amsoft::inutils::printArray(myInfernalArrayV,sizeof(myInfernalArrayV)/sizeof(VeryElaboratedDataType));
amsoft::inutils::infernalShift<VeryElaboratedDataType,sizeof(myInfernalArrayV)/sizeof(VeryElaboratedDataType)>(myInfernalArrayV,4,amsoft::inutils::EShiftDirection::Left);
amsoft::inutils::printArray(myInfernalArrayV,sizeof(myInfernalArrayV)/sizeof(VeryElaboratedDataType));
amsoft::inutils::infernalShift<VeryElaboratedDataType,sizeof(myInfernalArrayV)/sizeof(VeryElaboratedDataType)>(myInfernalArrayV,10);
amsoft::inutils::printArray(myInfernalArrayV,sizeof(myInfernalArrayV)/sizeof(VeryElaboratedDataType));
return 0;
}
public static int[] solution1(int[] A, int K) {
int temp[] = new int[A.length];
int count = 0;
int orignalItration = (K < A.length) ? K :(K%A.length);
for (int i = orignalItration; i < A.length; i++) {
temp[i] = A[count++];
}
for (int i = 0; i < orignalItration; i++) {
temp[i] = A[count++];
}
return temp;
}
#include <iostream>
#include <vector>
// same logic with STL implementation, but simpler, since no return value needed.
template <typename Iterator>
void rotate_by_gcd_like_swap(Iterator first, Iterator mid, Iterator last) {
if (first == mid) return;
Iterator old = mid;
for (; mid != last;) {
std::iter_swap(first, mid);
++first, ++mid;
if (first == old) old = mid; // left half exhausted
else if (mid == last) mid = old;
}
}
int main() {
using std::cout;
std::vector<int> v {0,1,2,3,4,5,6,7,8,9};
cout << "before rotate: ";
for (auto x: v) cout << x << ' '; cout << '\n';
int k = 7;
rotate_by_gcd_like_swap(v.begin(), v.begin() + k, v.end());
cout << " after rotate: ";
for (auto x: v) cout << x << ' '; cout << '\n';
cout << "sz = " << v.size() << ", k = " << k << '\n';
}
int gcd(int a, int b) => b == 0 ? a : gcd(b, a % b);
public int[] solution(int[] A, int K)
{
for (var i = 0; i < gcd(A.Length, K); i++)
{
for (var j = i; j < A.Length - 1; j++)
{
var destIndex = ((j-i) * K + K + i) % A.Length;
if (destIndex == i) break;
var destValue = A[destIndex];
A[destIndex] = A[i];
A[i] = destValue;
}
}
return A;
}
class Solution {
public int[] solution(int[] A, int K) {
// write your code in Java SE 8
if (A.length > 0)
{
int[] arr = new int[A.length];
if (K > A.length)
K = K % A.length;
for (int i=0; i<A.length-K; i++)
arr[i+K] = A[i];
for (int j=A.length-K; j<A.length; j++)
arr[j-(A.length-K)] = A[j];
return arr;
}
else
return new int[0];
}
}
int[] a = {1,2,3,4,5,6};
int k = 2;
int[] queries = {2,3};
int[] temp = new int[a.length];
for (int i = 0; i<a.length; i++)
temp[(i+k)%a.length] = a[i];
a = temp;
# circle shift an array to the left by M
def arrayCircleLeftShift(a, M):
N = len(a)
numAccessed = 0
cycleIdx = 0
while numAccessed != N:
idx = cycleIdx
swapIdx = (idx + M) % N
tmp = a[idx]
while swapIdx != cycleIdx:
a[idx] = a[swapIdx]
numAccessed += 1
idx = swapIdx
swapIdx = (idx + M) % N
a[idx] = tmp
numAccessed += 1
cycleIdx += 1