I need a container to store pairs, I have two operations:
For the first operation, map is a good structure. For the second operation, seems priority queue is a good one. How would you do this? Is there anyway to have both of the two operations done without having a O(n) loop? Thanks.
1 : the quality or state of coming before another in time or importance. 2 : a condition of being given attention before others this project has top priority. priority. noun. pri·or·i·ty | \ prī-ˈȯr-ə-tē \
Definition of 'take priority/has priority' If something takes priority or has priority over other things, it is regarded as being more important than them and is dealt with first. The fight against inflation took priority over measures to combat the deepening recession.
As detailed above, 'priority' can be a noun or an adjective. Noun usage: He set his e-mail message's priority to high. Noun usage: She needs to get her priorities straight and stop playing games.
In computer science, a priority queue is an abstract data-type similar to a regular queue or stack data structure in which each element additionally has a priority associated with it. In a priority queue, an element with high priority is served before an element with low priority.
An asymptotically efficient solution to this would be to use a combination of a hash table and a Fibonacci heap. You would use the hash table to be able to access the value associated with any particular key in O(1) time, and would use the Fibonacci heap to be able to quickly look up the key/value pair with the lowest value (doing so in O(1)).
If you want to change the value associated with a key, if you are increasing the value, you can do so in (amortized) O(1) time by using the increase-key operation on the Fibonacci heap, which has O(1) amortized time. If you are decreasing the value, it will take O(log n) time to delete the element out of the Fibonacci heap and then reinsert it.
Overall, this gives a time complexity of
Hope this helps!
boost::bimap could do what you want, where the reverse map is used to implement #2.
Create a heap structure (for the second bullet) and put each of its nodes in a map (for the first bullet).
EDIT: An implementation of min heap I had done some time in the past
#ifndef MINHEAP_H
#define MINHEAP_H
//////////////////////// MinHeap with Map for Data ////////////////////////
template <class T, class M = int> class MinHeap {
T* array;
unsigned const int arr_max;
unsigned int elements;
M map;
void percolate_down(unsigned int i=0) {
unsigned int n = elements-1, min;
do {
unsigned int l = 2*i + 1, r = 2*i + 2;
if (l <= n && array[i] > array[l]) min = l;
else min = i;
if (r <= n && array[i] > array[r] && array[l] > array[r]) min = r;
if (i != min) {
T temp = array[i];
array[i] = array[min];
array[min] = temp;
map.update(array[i], i);
map.update(array[min], min);
i = min;
} else break;
} while (i < n);
}
void percolate_up(unsigned int i) {
while (i && array[(i-1)/2] > array[i]) {
T temp = array[i];
array[i] = array[(i-1)/2];
array[(i-1)/2] = temp;
map.update(array[i], i);
map.update(array[(i-1)/2], (i-1)/2);
i = (i-1)/2;
}
}
public:
MinHeap(const int max) : array(new T[max]), arr_max(max), elements(0), map(max) {}
~MinHeap(void) { delete[] array; }
bool empty(void) const { return elements == 0; }
unsigned int capacity(void) const { return arr_max; }
unsigned int size(void) const { return elements; }
const M& heapmap(void) const { return map; }
const T& peek(unsigned int i=0) const { return array[i]; }
bool insert(T& element) {
if (arr_max == elements) return false;
unsigned int k = elements++;
map.update(element, k);
array[k] = element;
percolate_up(k);
return true;
}
unsigned int mass_insert(T copy[], unsigned int n) {
unsigned int i = 0;
for( ; i < n ; i++) if (!insert(copy[i])) break;
return i;
}
bool delete_min(void) {
if (elements == 0) return false;
map.update(array[0], arr_max+1);
array[0] = array[--elements];
map.update(array[0], 0);
percolate_down();
return true;
}
bool delete_element(unsigned int i) {
if (i > elements) return false;
map.update(array[i], arr_max+1);
T temp = array[i];
array[i] = array[--elements];
map.update(array[i], i);
if (array[i] > temp) percolate_down(i);
else if (temp > array[i]) percolate_up(i);
return true;
}
bool update(unsigned int i, T& element) {
if (i > elements) return false;
map.update(array[i], arr_max+1);
T temp = array[i];
array[i] = element;
map.update(array[i], i);
if (array[i] > temp) percolate_down(i);
else if (temp > array[i]) percolate_up(i);
return true;
}
// void print() { using namespace std; for (unsigned int i=0 ; i < elements ; i++) cout << array[i] << " | "; cout << endl; }
// Iterators
/*
friend class Const_Iterator;
class Const_Iterator {
MinHeap<T>* heap;
unsigned int index;
Const_Iterator(MinHeap<T>* h, unsigned int i) : heap(h), index(i) {}
public:
Const_Iterator(const Const_Iterator& clone) : heap(clone.heap), index(clone.index) {}
friend Const_Iterator MinHeap<T>::begin(void);
};
Const_Iterator begin(void) { return Const_Iterator(this, 0); }
*/
};
//////////////////////////////////////////////////////////////////////////////
//////////////////////// MinHeap without Map for Data ////////////////////////
template <class T> class MinHeap <T, int> {
T* array;
unsigned const int arr_max;
unsigned int elements;
void percolate_down(unsigned int i=0) {
unsigned int n = elements-1, min;
do {
unsigned int l = 2*i + 1, r = 2*i + 2;
if (l <= n && array[i] > array[l]) min = l;
else min = i;
if (r <= n && array[i] > array[r] && array[l] > array[r]) min = r;
if (i != min) {
T temp = array[i];
array[i] = array[min];
array[min] = temp;
i = min;
} else break;
} while (i < n);
}
void percolate_up(unsigned int i) {
while (i && array[(i-1)/2] > array[i]) {
T temp = array[i];
array[i] = array[(i-1)/2];
array[(i-1)/2] = temp;
i = (i-1)/2;
}
}
public:
MinHeap(const int max) : array(new T[max]), arr_max(max), elements(0) {}
~MinHeap(void) { delete[] array; }
bool empty(void) const { return elements == 0; }
unsigned int capacity(void) const { return arr_max; }
unsigned int size(void) const { return elements; }
const T& peek(unsigned int i=0) const { return array[i]; }
bool insert(T& element) {
if (arr_max == elements) return false;
unsigned int k = elements++;
array[k] = element;
percolate_up(k);
return true;
}
unsigned int mass_insert(T copy[], unsigned int n) {
unsigned int i = 0;
for( ; i < n ; i++) if (!insert(copy[i])) break;
return i;
}
bool delete_min(void) {
if (elements == 0) return false;
array[0] = array[--elements];
percolate_down();
return true;
}
bool delete_element(unsigned int i) {
if (i > elements) return false;
T temp = array[i];
array[i] = array[--elements];
if (array[i] > temp) percolate_down(i);
else if (temp > array[i]) percolate_up(i);
return true;
}
bool update(unsigned int i, T& element) {
if (i > elements) return false;
T temp = array[i];
array[i] = element;
if (array[i] > temp) percolate_down(i);
else if (temp > array[i]) percolate_up(i);
return true;
}
// void print() { using namespace std; for (unsigned int i=0 ; i < elements ; i++) cout << array[i] << " | "; cout << endl; }
};
//////////////////////////////////////////////////////////////////////////////
#endif // MINHEAP_H
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