本文整理汇总了C#中System.Collections.Generic.PriorityQueue.DequeueMin方法的典型用法代码示例。如果您正苦于以下问题：C# PriorityQueue.DequeueMin方法的具体用法？C# PriorityQueue.DequeueMin怎么用？C# PriorityQueue.DequeueMin使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类System.Collections.Generic.PriorityQueue的用法示例。
在下文中一共展示了PriorityQueue.DequeueMin方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: using_Dijkstra_s_algorithm_with_priority_queue
/// <summary>
/// based on the pseudocode on wiki page(http://en.wikipedia.org/wiki/Dijkstra%27s_algorithm)
/// </summary>
static int using_Dijkstra_s_algorithm_with_priority_queue()
{
var len = 80;
var node_map = new Node[len, len];
var queue = new PriorityQueue(len * len);
Node source = null;
Node goal = null;
var row = 0;
var col = 0;
foreach (var line in File.ReadAllLines("matrix.txt"))
{
col = 0;
foreach (var num in line.Split(new char[] { ',' }))
{
var node = new Node(Convert.ToInt32(num)) { row = row, col = col };
if (row == 0 && col == 0) source = node;
if (row == len - 1 && col == len - 1) goal = node;
// node map is mainly used to get neighbors
node_map[row, col] = node;
queue.Enqueue(node);
col++;
}
row++;
}
// set the source's distance to zero to kick start the process
queue.Update(source, 0);
// code for getting neighbor, using closure with the neighbor_list to make life a little easier
var neighbor_list = new Node[4]; // 0:left 1:up 2:right 3:down
Action<Node> prepare_neighbor_list = n =>
{
neighbor_list[0] = n.col - 1 < 0 ? null : node_map[n.row, n.col - 1];
neighbor_list[1] = n.row - 1 < 0 ? null : node_map[n.row - 1, n.col];
neighbor_list[2] = n.col + 1 >= len ? null : node_map[n.row, n.col + 1];
neighbor_list[3] = n.row + 1 >= len ? null : node_map[n.row + 1, n.col];
};
var total = 0;
while (queue.IsEmpty() == false)
{
var u = queue.DequeueMin();
if (u.distance == int.MaxValue)
break; // all remaining vertices are inaccessible from source
if (u == goal)
{
while (u != null)
{
total += u.cost;
u = u.previous;
}
break;
}
// call this method before using neighbor_list array
prepare_neighbor_list(u);
foreach (var v in neighbor_list)
{
if (v == null)
continue; // like when u is edge cell in the matrix
var alt = u.distance + u.cost + v.cost;
if (alt < v.distance)
{
v.previous = u;
queue.Update(v, alt);
}
}
}
return total;
}示例2: PriorityQueueTest
static void PriorityQueueTest()
{
{
PriorityQueue<int> queueRemoveMin = new PriorityQueue<int>();
PriorityQueue<int> queueRemoveMax = new PriorityQueue<int>();
List<int> doubleCheckMin = new List<int>();
List<int> doubleCheckMax = new List<int>();
Random r = new Random();
// Generate the list of numbers to populate the queue and to check against
for (int i = 0; i < 20; i++)
{
int randInt = r.Next(-100, 100);
doubleCheckMin.Add(randInt);
}
for (int i = 0; i < doubleCheckMin.Count; i++)
{
int randInt = doubleCheckMin[i];
// heap.Add("" + i, i);
queueRemoveMin.Enqueue(randInt, randInt);
queueRemoveMax.Enqueue(randInt, randInt);
doubleCheckMax.Add(randInt);
}
doubleCheckMin.Sort(); // Default. Ascending
doubleCheckMax.Sort(delegate (int x, int y)
{
if (x == y) return 0;
if (x > y) return -1;
if (x < y) return 1;
return 0;
});
Console.WriteLine(" -- NOW REMOVE MIN --");
int checkCount = 0;
while (queueRemoveMin.Count > 0)
{
int min = queueRemoveMin.DequeueMin();
if (doubleCheckMin[checkCount] != min)
{
throw new Exception("WRONG!");
}
checkCount++;
Console.WriteLine(min);
}
Console.WriteLine(" -- NOW REMOVE MAX --");
checkCount = 0;
while (queueRemoveMax.Count > 0)
{
int max = queueRemoveMax.DequeueMax();
if (doubleCheckMax[checkCount] != max)
{
throw new Exception("WRONG!");
}
checkCount++;
Console.WriteLine(max);
}
}
// Now for some random fun. Randomly decide what operation we're performing.
// Sorted list is kept alongside for double-checking validity of heap results.
{
PriorityQueue<int> queue = new PriorityQueue<int>();
queue.DebugValidation = true;
List<int> list = new List<int>();
const int kMaxOperations = 2000;
int numOps = 0;
Random r = new Random();
for (numOps = 0; numOps < kMaxOperations; numOps++)
{
int randInt = r.Next(0, 4);
switch (randInt)
{
case 0:
case 1: // twice as likely to occur
{
// Add an item.
randInt = r.Next(-1000, 1000);
Console.WriteLine("Adding : " + randInt);
list.Add(randInt);
queue.Enqueue(randInt, randInt);
if (list.Count != queue.Count)
{
throw new Exception("Count mismatch!");
}
}
break;
case 2:
{
// Dequeue Min
list.Sort();
if (list.Count != queue.Count)
{
throw new Exception("Count mismatch! List= " + list.Count + ", queue = " + queue.Count);
}
if (list.Count == 0)
{
// well, can't do much here. early break
//.........这里部分代码省略.........