unique只适用于重复元素的连续运行，所以你最好先排序。但是，它是稳定的，所以你的向量是有序的。

void EraseVectorRepeats(vector <int> & v){ 
TOP:for(int y=0; y<v.size();++y){
        for(int z=0; z<v.size();++z){
            if(y==z){ //This if statement makes sure the number that it is on is not erased-just skipped-in order to keep only one copy of a repeated number
                continue;}
            if(v[y]==v[z]){
                v.erase(v.begin()+z); //whenever a number is erased the function goes back to start of the first loop because the size of the vector changes
            goto TOP;}}}}

这是我创建的一个函数，你可以用它来删除重复。所需的头文件只有<iostream>和<vector>。

取决于用例。如果你期望有少于100个正整数的唯一值，并且你有一个cpu能够处理avx512f指令集，那么你可以以每个元素15个时钟周期或每秒3 -5亿个插入的速度插入元素，通过与一个小型查找表进行简单的比较。

接下来的实现使用CPU寄存器对~50个惟一值进行值查找，并对~1000个惟一值进行L1缓存。对于L1缓存版本，每次插入大约需要160个时钟周期，这相当于大约每秒25M个插入，并且比使用std::set慢。对于只有4个唯一值，它以每个元素5.8个周期的速率插入，高于500M/s。

//g++  7.4.0
// time measurement taken from another answer
// valid C99 and C++

#include <stdint.h>  // <cstdint> is preferred in C++, but stdint.h works.

#ifdef _MSC_VER
# include <intrin.h>
#else
# include <x86intrin.h>
#endif

// optional wrapper if you don't want to just use __rdtsc() everywhere
inline
uint64_t readTSC() {
     _mm_lfence();  // optionally wait for earlier insns to retire before reading the clock
    uint64_t tsc = __rdtsc();
     _mm_lfence();  // optionally block later instructions until rdtsc retires
    return tsc;
}

// requires a Nehalem or newer CPU.  Not Core2 or earlier.  IDK when AMD added it.
inline
uint64_t readTSCp() {
    unsigned dummy;
    return __rdtscp(&dummy);  // waits for earlier insns to retire, but allows later to start
}



#include <iostream>

template<int n>
struct FastUnique
{
    public:
    FastUnique()
    {
         it=0;
         for(int i=0;i<n;i++)
             dict[i]=-1;
    }

    void insert(const int val)
    {
        if(!test(dict,val))
            dict[it++]=val;
    }

    const int get(const int index)
    {
        return dict[index];
    }

    const int size()
    {
        return it;
    }

    private:
    int dict[n];
    int it;
    bool test(const int * dict, const int val)
    {
        int c=0;
        for(int i=0;i<n;i++)
            c+=(dict[i]==val);
        return c>0;
    }
};

int main()
{
    std::cout << "Hello, world!\n";
    const int n=500000000;

    FastUnique<64> fastSet;

    auto t= readTSC();

    for(int i=0;i<n;i++)
        fastSet.insert(i&63);

    auto t2=readTSC();

    std::cout<<(t2-t)/(double)n<<"cycles per iteration"<<std::endl;
   
    for(int i=0;i<fastSet.size();i++)
        std::cout<<fastSet.get(i)<<std::endl;
    
    return 0;
}

如果你的类很容易转换为int型，并且你有一些内存， Unique可以在没有排序的情况下完成，而且速度快得多:

#include <vector>
#include <stdlib.h>
#include <algorithm>
int main (int argc, char* argv []) {
  //vector init
  std::vector<int> v (1000000, 0);
  std::for_each (v.begin (), v.end (), [] (int& s) {s = rand () %1000;});
  std::vector<int> v1 (v);
  int beg (0), end (0), duration (0);
  beg = clock ();
  {
    std::sort (v.begin (), v.end ());
    auto i (v.begin ());
    i = std::unique (v.begin (), v.end ());
    if (i != v.end ()) v.erase (i, v.end ());
  }
  end = clock ();
  duration = (int) (end - beg);
  std::cout << "\tduration sort + unique == " << duration << std::endl;

  int n (0);
  duration = 0;
  beg = clock ();
  std::for_each (v1.begin (), v1.end (), [&n] (const int& s) {if (s >= n) n = s+1;});
  std::vector<int> tab (n, 0);
  {
    auto i (v1.begin ());
    std::for_each (v1.begin (), v1.end (), [&i, &tab] (const int& s) {
      if (!tab [s]) {
        *i++ = s;
        ++tab [s];
      }
    });
    std::sort (v1.begin (), i);
    v1.erase (i, v1.end ());
  }
  end = clock ();
  duration = (int) (end - beg);
  std::cout << "\tduration unique + sort == " << duration << std::endl;
  if (v == v1) {
    std::cout << "and results are same" << std::endl;
  }
  else {
    std::cout << "but result differs" << std::endl;
  }  
}

典型结果: Duration sort + unique == 38985 持续时间唯一+排序== 2500 结果是一样的

大部分答案似乎是使用O(nlogn)，但使用unordered_set，我们可以将其减少到O(n)。我看到了一些使用集合的解决方案，但我发现了这个解决方案，使用集合和迭代器似乎更优雅。

using Intvec = std::vector<int>;

void remove(Intvec &v) {
    // creating iterator starting with beginning of the vector 
    Intvec::iterator itr = v.begin();
    std::unordered_set<int> s;
    // loops from the beginning to the end of the list 
    for (auto curr = v.begin(); curr != v.end(); ++curr) {
        if (s.insert(*curr).second) { // if the 0 curr already exist in the set
            *itr++ = *curr; // adding a position to the iterator 
        }
    }
    // erasing repeating positions in the set 
    v.erase(itr, v.end());
}

下面是使用std::unique()出现重复删除问题的示例。在LINUX机器上，程序崩溃。详情请阅读评论。

// Main10.cpp
//
// Illustration of duplicate delete and memory leak in a vector<int*> after calling std::unique.
// On a LINUX machine, it crashes the progam because of the duplicate delete.
//
// INPUT : {1, 2, 2, 3}
// OUTPUT: {1, 2, 3, 3}
//
// The two 3's are actually pointers to the same 3 integer in the HEAP, which is BAD
// because if you delete both int* pointers, you are deleting the same memory
// location twice.
//
//
// Never mind the fact that we ignore the "dupPosition" returned by std::unique(),
// but in any sensible program that "cleans up after istelf" you want to call deletex
// on all int* poitners to avoid memory leaks.
//
//
// NOW IF you replace std::unique() with ptgi::unique(), all of the the problems disappear.
// Why? Because ptgi:unique merely reshuffles the data:
// OUTPUT: {1, 2, 3, 2}
// The ptgi:unique has swapped the last two elements, so all of the original elements in
// the INPUT are STILL in the OUTPUT.
//
// 130215   dbednar@ptgi.com
//============================================================================

#include <iostream>
#include <vector>
#include <algorithm>
#include <functional>

#include "ptgi_unique.hpp"

// functor used by std::unique to remove adjacent elts from vector<int*>
struct EqualToVectorOfIntegerStar: public std::equal_to<int *>
{
    bool operator() (const int* arg1, const int* arg2) const
    {
        return (*arg1 == *arg2);
    }
};

void printVector( const std::string& msg, const std::vector<int*>& vnums);

int main()
{
    int inums [] = { 1, 2, 2, 3 };
    std::vector<int*> vnums;

    // convert C array into vector of pointers to integers
    for (size_t inx = 0; inx < 4; ++ inx)
        vnums.push_back( new int(inums[inx]) );

    printVector("BEFORE UNIQ", vnums);

    // INPUT : 1, 2A, 2B, 3
    std::unique( vnums.begin(), vnums.end(), EqualToVectorOfIntegerStar() );
    // OUTPUT: 1, 2A, 3, 3 }
    printVector("AFTER  UNIQ", vnums);

    // now we delete 3 twice, and we have a memory leak because 2B is not deleted.
    for (size_t inx = 0; inx < vnums.size(); ++inx)
    {
        delete(vnums[inx]);
    }
}

// print a line of the form "msg: 1,2,3,..,5,6,7\n", where 1..7 are the numbers in vnums vector
// PS: you may pass "hello world" (const char *) because of implicit (automatic) conversion
// from "const char *" to std::string conversion.

void printVector( const std::string& msg, const std::vector<int*>& vnums)
{
    std::cout << msg << ": ";

    for (size_t inx = 0; inx < vnums.size(); ++inx)
    {
        // insert comma separator before current elt, but ONLY after first elt
        if (inx > 0)
            std::cout << ",";
        std::cout << *vnums[inx];

    }
    std::cout << "\n";
}