由于 nsmallest（）函数适用于排序数组，并接受定制的比较，你可以：

 的#include＆lt;功能＆GT; //更大＆LT;＆GT;
＃包括＆LT;的iostream＆GT;

＃定义尺寸（A）（的sizeof（一）/的sizeof（* a））的

诠释的main（）{
  诠释一个[] = {5,4,3};
  INT B〔] = {2,1,0};
  INT K = 1; //找到最小值，在第一最小值，B

  INT I = K  -  1; //转换为从零开始的索引
  INT V = nsmallest（A，A + SIZE（a）中，B，B + SIZE（b）中，
            尺寸（A）+尺寸（B）-1-i的，标准::更大＆其中; INT＆GT;（））;
  性病::法院＆LT;＆LT; V＆LT;＆LT;的std :: ENDL; //  - ＆GT; 0
  返回伏;
}
 

我用 @尼尔的建议来解决这个指数和的 @ lambdapilgrim的为算法答案：

 的#include＆LT;＆了cassert GT;
＃包括＆LT;迭代器＆GT;

模板＆LT;类RandomIterator，类比较＆GT;
类型名的std :: iterator_traits实现＆LT; RandomIterator＆GT; :: value_type的
nsmallest（RandomIterator firsta，RandomIterator lasta，
          RandomIterator firstb，RandomIterator lastb，
          为size_t N，
          比较少）{
  断言（正＆其中;＆的static_cast所述;为size_t＆GT;（（lasta  -  firsta）+（lastb  -  firstb）））;
  如果（firsta == lasta）收益*（firstb + N）;
  如果（firstb == lastb）收益*（firsta + N）;

  为size_t美达=（lasta  -  firsta）/ 2;
  为size_t MIDB =（lastb  -  firstb）/ 2;
  如果（（MIDA + MIDB）n种）
    返回以下（*（firstb + MIDB），*（firsta + MIDA））？
      nsmallest（firsta，lasta，firstb + MIDB + 1，lastb，正 - （MIDB + 1），更小）：
      nsmallest（firsta +美达+ 1，lasta，firstb，lastb，正 - （MIDA + 1），更小）;
  其他
    返回以下（*（firstb + MIDB），*（firsta + MIDA））？
      nsmallest（firsta，firsta +美达，firstb，lastb，N，少）：
      nsmallest（firsta，lasta，firstb，firstb + MIDB，N，少）;
}
 

I need to find the k largest element in two sorted arrays, but with a twist.

This algorithm assumes k<=max(m,n) and indexes go awry when k>max(m,n). In my problem i know that will always be k>(m+n)/2 and hence k>min(m,n) so i need to change Jules Olléon's answer a little bit...i just don't see which bit :~

I've found this link page 3, but there is bug there (when implemented, it doesn't return the right answer)

I know a quick fix would be to multiply both arrays by -1 and take the k smallest of that union and multiply back the answer by -1 but that'll make the code unreadable.

This is not a homework.

Ok, i think i'm missunderstanding Neil's answer or something else because this is what i give 'him'

#include <algorithm>
#include <fstream>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <vector>

#include <Eigen/Dense>
using namespace Eigen;
using Eigen::VectorXf;
using Eigen::VectorXi;

float getNth(VectorXf& v1,VectorXf& v2,int& n){
        int step=(n/4),i1=(n/2),i2=(n-i1);
        while(!(v2(i2)>=v1(i1-1) && v1(i1)>v2(i2-1))){                   
            if(v1(i1-1)>=v2(i2-1)){
                i1-=step;
                i2+=step;
            } else {
                i1+=step;
                i2-=step;
            }
            step/=2;
            if(!step) step=1;
        }
        if(v1(i1-1)>=v2(i2-1))
            return v1(i1-1);
            else
            return v2(i2-1);    
}
int main(){  
    int p,q,n,k,l;
    float sol;
    std:: cout << "enter p " << std::endl;
    std::cin >> p; 
    std:: cout << "enter q " << std::endl;
    std::cin >> q;
    n=p+q;
    std:: cout  << " enter k larger than " << std::min(p,q) << " and smaller than " << n-1 << std::endl;
    std::cin >> k;

    k=n-k-1;

    srand(time(NULL));
    VectorXf v1=VectorXf::Random(p);
    srand(time(NULL));
    VectorXf v2=VectorXf::Random(q);
    VectorXf v3(n);
    v3 << v1, v2;
    std::sort(v3.data(),v3.data()+v3.size(),std::greater<float>()); //std::greater<float>()
    std::sort(v1.data(),v1.data()+v1.size(),std::greater<float>());
    std::sort(v2.data(),v2.data()+v2.size(),std::greater<float>());

    sol=getNth(v1,v2,k);
    std::cout << sol << std::endl;
    std::cout << v3(k) <<   std::endl;
    return 0;  
}  

and this is what i get:

enter p 
12
enter q 
32
 enter k larger than 12 and smaller than 43
13
nthoftwo: /Desktop/work/p1/geqw4/vi3/out/sp/ccode/eigen/Eigen/src/Core/DenseCoeffsBase.h:409: Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::DenseCoeffsBase<Derived, 1>::Index) [with Derived = Eigen::Matrix<float, -0x00000000000000001, 1>, Eigen::DenseCoeffsBase<Derived, 1>::Scalar = float, Eigen::DenseCoeffsBase<Derived, 1>::Index = long int]: Assertion `index >= 0 && index < size()' failed.
Aborted (core dumped)

if you are unfamiliar with eigen: the error is an index out of bound error caused by getNth(v1,v2,k)

EDIT:

this is a very minor modification on J.F. Sebastian' simple and elegant solution below --all mistakes are mine, but it seems to work. The aim was to work with the original indexes (i.e. i'm not sure Neil's idea is indispensable).

#include <algorithm>
#include <fstream>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <vector>
#include <cassert>
#include <iterator>

#include <Eigen/Dense>
using namespace Eigen;
using Eigen::VectorXf;
using Eigen::VectorXi;

template<class RandomIterator,class Compare>
typename std::iterator_traits<RandomIterator>::value_type
nsmallest(RandomIterator firsta,RandomIterator lasta,RandomIterator firstb,RandomIterator lastb,size_t n,Compare less) {
  assert(n<static_cast<size_t>((lasta-firsta)+(lastb-firstb)));
  if (firsta==lasta) return *(firstb+n);
  if (firstb==lastb) return *(firsta+n);

  size_t mida=(lasta-firsta)/2;
  size_t midb=(lastb-firstb)/2;
  if ((mida+midb)<n)
    return less(*(firstb+midb),*(firsta+mida))?
      nsmallest(firsta,lasta,firstb+midb+1,lastb,n-(midb+1),less):
      nsmallest(firsta+mida+1,lasta,firstb,lastb,n-(mida+1),less);
  else
    return less(*(firstb+midb),*(firsta+mida))?
      nsmallest(firsta,firsta+mida,firstb,lastb,n,less):
      nsmallest(firsta,lasta,firstb,firstb+midb,n,less);
}
int main(){  
    int p,q,n,k,l;
    float sol;
    std:: cout << "enter p " << std::endl;
    std::cin >> p; 
    std:: cout << "enter q " << std::endl;
    std::cin >> q;
    n=p+q;
    std:: cout  << " enter k larger than " << std::min(p,q) << " and smaller than " << n-1 << std::endl;
    std::cin >> k;

    srand(time(NULL));
    VectorXf v1=VectorXf::Random(p);
    srand(time(NULL));
    VectorXf v2=VectorXf::Random(q);
    VectorXf v3(n);
    v3 << v1, v2;
    std::sort(v3.data(),v3.data()+v3.size()); 
    std::sort(v1.data(),v1.data()+v1.size());
    std::sort(v2.data(),v2.data()+v2.size());

    sol=nsmallest(v1.data(),v1.data()+v1.size(),v2.data(),v2.data()+v2.size(),k,std::less<float>());
//if it works, these two should return the same.
    std::cout << sol << std::endl;  
    std::cout << v3(k) << std::endl;
    return 0;  
}  

From your comments I understand that you want to find k-th smallest value given 2 inversely sorted array e.g., for a={5,4,3}, b={2,1,0}; and k=1 the expected result is 0 i.e., the minimum value -- the first smallest value (it means that k is counted from 1).

Given nsmallest() function that works on sorted arrays and accepts a custom comparator you could:

#include <functional> // greater<>
#include <iostream>

#define SIZE(a) (sizeof(a) / sizeof(*a))

int main() {
  int a[] = {5,4,3};
  int b[] = {2,1,0};
  int k = 1; // find minimum value, the 1st smallest value in a,b

  int i = k - 1; // convert to zero-based indexing
  int v = nsmallest(a, a + SIZE(a), b, b + SIZE(b),
            SIZE(a)+SIZE(b)-1-i, std::greater<int>());
  std::cout << v << std::endl; // -> 0
  return v;
}

I've used @Neil's suggestion to fix the index and @lambdapilgrim's answer for the algorithm:

#include <cassert>
#include <iterator>

template<class RandomIterator, class Compare>
typename std::iterator_traits<RandomIterator>::value_type
nsmallest(RandomIterator firsta, RandomIterator lasta,
          RandomIterator firstb, RandomIterator lastb,
          size_t n,
          Compare less) {
  assert(n < static_cast<size_t>((lasta - firsta) + (lastb - firstb)));
  if (firsta == lasta) return *(firstb + n);
  if (firstb == lastb) return *(firsta + n);

  size_t mida = (lasta - firsta) / 2;
  size_t midb = (lastb - firstb) / 2;
  if ((mida + midb) < n)
    return less(*(firstb + midb), *(firsta + mida)) ?
      nsmallest(firsta, lasta, firstb + midb + 1, lastb, n - (midb + 1), less) :
      nsmallest(firsta + mida + 1, lasta, firstb, lastb, n - (mida + 1), less);
  else
    return less(*(firstb + midb), *(firsta + mida)) ?
      nsmallest(firsta, firsta + mida, firstb, lastb, n, less) :
      nsmallest(firsta, lasta, firstb, firstb + midb, n, less);
}