set([GUI_DPQ.Database,GUI_DPQ.En1,GUI_DPQ.En2,... GUI_DPQ.En3,GUI_DPQ.En4,GUI_DPQ.En5,... GUI_DPQ.En6,GUI_DPQ.En7,GUI_DPQ.En8,... GUI_DPQ.En9,GUI_DPQ.En10,GUI_DPQ.Ch1,... GUI_DPQ.Ch2,GUI_DPQ.Ch3,GUI_DPQ.Ch4,... GUI_DPQ.Ch5,GUI_DPQ.Ch6,GUI_DPQ.Ch7,... GUI_DPQ.Ch8,GUI_DPQ.Ch9,GUI_DPQ.Ch10,... GUI_DPQ.FunctionSelect,GUI_DPQ.NextPage,... GUI_DPQ.Compare,GUI_DPQ.RangeSelect,GUI_DPQ.RewriteDatabase],'call',{@ed_call_import1,GUI_DPQ});

这段代码片段是在Matlab中使用set函数来设置一组对象的属性值，并将它们与一个回调函数绑定。这些对象是由GUI_DPQ结构体中的字段表示的。

具体来说，代码中使用了set函数来设置以下对象的属性值：

- GUI_DPQ.Database
- GUI_DPQ.En1
- GUI_DPQ.En2
- GUI_DPQ.En3
- GUI_DPQ.En4
- GUI_DPQ.En5
- GUI_DPQ.En6
- GUI_DPQ.En7
- GUI_DPQ.En8
- GUI_DPQ.En9
- GUI_DPQ.En10
- GUI_DPQ.Ch1
- GUI_DPQ.Ch2
- GUI_DPQ.Ch3
- GUI_DPQ.Ch4
- GUI_DPQ.Ch5
- GUI_DPQ.Ch6
- GUI_DPQ.Ch7
- GUI_DPQ.Ch8
- GUI_DPQ.Ch9
- GUI_DPQ.Ch10
- GUI_DPQ.FunctionSelect
- GUI_DPQ.NextPage
- GUI_DPQ.Compare
- GUI_DPQ.RangeSelect
- GUI_DPQ.RewriteDatabase

这些对象的属性值将被设置为一个回调函数`@ed_call_import1`，同时还传递了一个参数`GUI_DPQ`。

通过这样设置对象属性和回调函数，可以实现在相应事件发生时调用回调函数，并将GUI_DPQ作为参数传递给该函数。这样可以实现与用户界面的交互和响应。

请注意，代码片段中使用了省略号(...)来表示行继续，以便将多个对象放在一行中。

相关问题

dijkstra算法最短路径java

Dijkstra算法最短路径Java代码示例如下：

import java.util.*;

public class DijkstraShortestPath {
    private int dist[];
    private Set<Integer> visited;
    private PriorityQueue<Node> pq;
    private int V;
    List<List<Node>> adj;

    public DijkstraShortestPath(int V) {
        this.V = V;
        dist = new int[V];
        visited = new HashSet<Integer>();
        pq = new PriorityQueue<Node>(V, new Node());
    }

    public void dijkstra(List<List<Node>> adj, int srcVertex) {
        this.adj = adj;

        for (int i = 0; i < V; i++) {
            dist[i] = Integer.MAX_VALUE;
        }

        pq.add(new Node(srcVertex, 0));

        dist[srcVertex] = 0;
        while (visited.size() != V) {

            int u = pq.remove().node;
            visited.add(u);

            e_Neighbours(u);
        }
    }

    private void e_Neighbours(int u) {
        int edgeDistance = -1;
        int newDistance = -1;

        for (int i = 0; i < adj.get(u).size(); i++) {
            Node vi = adj.get(u).get(i);
            if (!visited.contains(vi.node)) {
                edgeDistance = vi.cost;
                newDistance = dist[u] + edgeDistance;

                if (newDistance < dist[vi.node]) {
                    dist[vi.node] = newDistance;
                }
                pq.add(new Node(vi.node, dist[vi.node]));
            }
        }
    }

    public static void main(String arg[]) {
        int V = 5;
        int sourceVertex = 0;

        List<List<Node>> adj = new ArrayList<List<Node>>();

        for (int i = 0; i < V; i++) {
            List<Node> item = new ArrayList<Node>();
            adj.add(item);
        }

        adj.get(0).add(new Node(1, 9));
        adj.get(0).add(new Node(2, 6));
        adj.get(0).add(new Node(3, 5));
        adj.get(0).add(new Node(4, 3));

        adj.get(2).add(new Node(1, 2));
        adj.get(2).add(new Node(3, 4));

        DijkstraShortestPath dpq = new DijkstraShortestPath(V);
        dpq.dijkstra(adj, sourceVertex);

        System.out.println("The shorted path from node :");
        for (int i = 0; i < dpq.dist.length; i++)
            System.out.println(sourceVertex + " to " + i + " is "
                               + dpq.dist[i]);
    }
}

class Node implements Comparator<Node> {
    public int node;
    public int cost;

    public Node() {
    }

    public Node(int node, int cost) {
        this.node = node;
        this.cost = cost;
    }

    @Override
    public int compare(Node node1, Node node2) {
        if (node1.cost < node2.cost)
            return -1;
        if (node1.cost > node2.cost)
            return 1;
        return 0;
    }
}

用Java语言生成dijkstra算法

好的，我可以回答这个问题。您可以使用Java语言编写Dijkstra算法，以下是简单的示例代码：

import java.util.*;
public class Dijkstra{
  private int dist[];
  private Set<Integer> settled;
  private PriorityQueue<Node> pq;
  private int V;
  List<List<Node> > adj;
 
  public Dijkstra(int V)
  {
    this.V = V;
    dist = new int[V];
    settled = new HashSet<Integer>();
    pq = new PriorityQueue<Node>(V, new Node());
  }
 
  public void dijkstra(List<List<Node> > adj, int src)
  {
    this.adj = adj;
 
    for (int i = 0; i < V; i++)
      dist[i] = Integer.MAX_VALUE;
 
    pq.add(new Node(src, 0));
    dist[src] = 0;
    while (settled.size() != V) {
      int u = pq.remove().node;
      settled.add(u);
      e_Neighbours(u);
    }
  }
 
  private void e_Neighbours(int u)
  {
    int edgeDistance = -1;
    int newDistance = -1;
 
    for (int i = 0; i < adj.get(u).size(); i++) {
      Node v = adj.get(u).get(i);
 
      if (!settled.contains(v.node)) {
        edgeDistance = v.cost;
        newDistance = dist[u] + edgeDistance;
 
        if (newDistance < dist[v.node])
          dist[v.node] = newDistance;
 
        pq.add(new Node(v.node, dist[v.node]));
      }
    }
  }
 
  public static void main(String[] args)
  {
    int V = 5;
    int source = 0;
 
    List<List<Node> > adj = new ArrayList<List<Node> >();
 
    for (int i = 0; i < V; i++) {
      List<Node> item = new ArrayList<Node>();
      adj.add(item);
    }
 
    adj.get(0).add(new Node(1, 9));
    adj.get(0).add(new Node(2, 6));
    adj.get(0).add(new Node(3, 5));
    adj.get(0).add(new Node(4, 3));
 
    adj.get(2).add(new Node(1, 2));
    adj.get(2).add(new Node(3, 4));
 
    Dijkstra dpq = new Dijkstra(V);
    dpq.dijkstra(adj, source);
 
    System.out.println("The shorted path from node :");
    for (int i = 0; i < dpq.dist.length; i++)
      System.out.println(source + " to " + i + " is " + dpq.dist[i]);
  }
}
 
class Node implements Comparator<Node> {
  public int node;
  public int cost;
 
  public Node()
  {
  }
 
  public Node(int node, int cost)
  {
    this.node = node;
    this.cost = cost;
  }
 
  @Override
  public int compare(Node node1, Node node2)
  {
    if (node1.cost < node2.cost)
      return -1;
    if (node1.cost > node2.cost)
      return 1;
    return 0;
  }
}

这是一个基于邻接列表的Dijkstra算法实现示例，您可以使用此代码进行参考或修改以满足您的特定需求。