通过相邻顶点列表添加和减去图中的边 [英] add and subtract the edges in the graph through the list of adjacent vertices
问题描述
实现图形美好的一天。我通过相邻的添加边为图形添加了任务写入功能
删除边
但我不知道如何实现它。需要你的帮助。
pre $ $ $ $ $ $ $ $ $ $ $ $ $ $ $'
int mW;
float mWeight;
};
struct Node
{
int mEnd;
float mWeight;
};
使用AdjacencyList = std :: vector< Node>;
使用VertexList = std :: vector< AdjacencyList>;
class Graph
{
public:
bool addEdge(const Edge& edge);
bool removeEdge(const Edge& edge);
private:
VertexList mVertexList;
};
bool Graph :: addEdge(const Edge& edge)
{
if((mAdjacencyLists [edge.mV] .mEnd == true)&&(mAdjacencyLists [ edge.mW] .mEnd == true)
&&(mAdjacencyLists [edge.mV] .mWeight == false)&&(mAdjacencyLists [edge.mW] .mEnd == false)& &(edge.mV!= edge.mW))
{
节点节点;
mAdjacencyLists [edge.mV] = node.mEnd; // ???
mAdjacencyLists [edge.mW] = node.mWeight; // ???
$ b bool Graph :: removeEdge(const Edge& edge)
{
if((mAdjacencyLists [edge.mV ] .mEnd == true)&& amp;(mAdjacencyLists [edge.mW] .mEnd == true)&& amp;(mAdjacencyLists [edge.mV] .mWeight == true)
&&( mAdjacencyLists [edge.mW] .mEnd == true)&&(edge.mV!= edge.mW))
{
// ???
$ b
UPD(重写代码):
$ Graph $ addEdge(const Edge& edge)
{
mVertexList [edge.mV] .push_back({edge.mW,edge.mWeight});
mVertexList [edge.mW] .push_back({edge.mV,edge.mWeight});
}
bool Graph :: removeEdge(const Edge& edge)
{
auto ita = find_if(mVertexList [edge.mV] .cbegin(),mVertexList [edge.mV] .cend(),[edge.mW](const Node& n){return n.mEnd == edge.mW;});
mVertexList [edge.mV] .erase(ita);
auto itb = find_if(mVertexList [edge.mW] .cbegin(),mVertexList [edge.mW] .cend(),[edge.mV](const Node& n){return n.mEnd == edge .mV;});
mVertexList [edge.mW] .erase(itb);
在这个例子中,
class G {
struct Neighbor {
int _结束;
int _weight;
};
std :: vector< std :: list< Neighbor>>形容词;
$ b $ public:
G(int verticesCount):adj(verticesCount){}
void addEdge(int a,int b,int w){
assert(!hasEdge(a,b));
adj [a] .push_back({b,w});
adj [b] .push_back({a,w});
}
void dropEdge(int a,int b){
assert(hasEdge(a,b));
auto ita = find_if(adj [a] .cbegin(),adj [a] .cend(),[b](const Neighbor& n){return n._end == b;});
adj [a] .erase(ita);
auto itb = find_if(adj [b] .cbegin(),adj [b] .cend(),[a](const Neighbor& n){return n._end == a;});
adj [b] .erase(itb);
bool hasEdge(int a,int b){
auto it = find_if(adj [a] .cbegin(),adj [a] .cend(), [b](const Neighbor& n){return n._end == b;});
//在这里你可能想要检查b的邻接表是否还包含边的入口
return it!= adj [a] .cend();
}
int edgeWeight(int a,int b){
auto it = find_if(adj [a] .cbegin(),adj [a] .cend(), [b](const Neighbor& n){return n._end == b;});
//与hasEdge相同,可能需要进行一致性检查
return it-> _weight;
}
};
void testG(){
G g(4);
g.addEdge(0,1,10);
g.addEdge(1,2,20);
g.addEdge(2,3,30);
cout<< boolalpha;
cout<< g.hasEdge(0,1)<< w =<< g.edgeWeight(0,1)<< ENDL;
cout<< g.hasEdge(1,2)<< w =<< g.edgeWeight(1,2)<< ENDL;
cout<< g.hasEdge(2,3)< w =<< g.edgeWeight(2,3)<< ENDL;
g.dropEdge(1,2);
cout<< g.hasEdge(1,2)<< ENDL;
}
int main(){
testG();
系统(暂停);
返回0;
}
true w = 10
true w = 20
true w = 30
false
存储图与邻接列表表示导致一些信息重复,所以一致性检查是很好的。
Implementation of the graph through the adjacent vertices Good day. I have a task-write function for the graph through the adjacent add edge Remove the edge
But I do not know how to implement it. Need your help.
struct Edge
{
int mV;
int mW;
float mWeight;
};
struct Node
{
int mEnd;
float mWeight;
};
using AdjacencyList = std::vector<Node>;
using VertexList = std::vector<AdjacencyList>;
class Graph
{
public:
bool addEdge(const Edge& edge);
bool removeEdge(const Edge& edge);
private:
VertexList mVertexList;
};
bool Graph::addEdge(const Edge& edge)
{
if ((mAdjacencyLists[edge.mV].mEnd == true) && (mAdjacencyLists[edge.mW].mEnd == true)
&& (mAdjacencyLists[edge.mV].mWeight == false) && (mAdjacencyLists[edge.mW].mEnd == false) && (edge.mV != edge.mW))
{
Node node;
mAdjacencyLists[edge.mV] = node.mEnd; // ???
mAdjacencyLists[edge.mW] = node.mWeight; //???
}
}
bool Graph::removeEdge(const Edge& edge)
{
if ((mAdjacencyLists[edge.mV].mEnd == true) && (mAdjacencyLists [edge.mW].mEnd == true) && (mAdjacencyLists[edge.mV].mWeight == true)
&& (mAdjacencyLists[edge.mW].mEnd == true) && (edge.mV != edge.mW))
{
// ???
}
}
UPD(rewritten the code):
bool Graph::addEdge(const Edge& edge)
{
mVertexList[edge.mV].push_back({ edge.mW, edge.mWeight });
mVertexList[edge.mW].push_back({ edge.mV, edge.mWeight });
}
bool Graph::removeEdge(const Edge& edge)
{
auto ita = find_if(mVertexList[edge.mV].cbegin(), mVertexList [edge.mV].cend(), [edge.mW](const Node& n) { return n.mEnd == edge.mW; });
mVertexList[edge.mV].erase(ita);
auto itb = find_if(mVertexList[edge.mW].cbegin(), mVertexList[edge.mW].cend(), [edge.mV](const Node& n) { return n.mEnd == edge.mV; });
mVertexList[edge.mW].erase(itb);
}
In this example i expect that you know number of vertices in the graph in forward.
class G {
struct Neighbour{
int _end;
int _weight;
};
std::vector<std::list<Neighbour>> adj;
public:
G(int verticesCount) : adj(verticesCount) {}
void addEdge(int a, int b, int w) {
assert(!hasEdge(a, b));
adj[a].push_back({ b, w });
adj[b].push_back({ a, w });
}
void dropEdge(int a, int b) {
assert(hasEdge(a, b));
auto ita = find_if(adj[a].cbegin(), adj[a].cend(), [b](const Neighbour& n) { return n._end == b; });
adj[a].erase(ita);
auto itb = find_if(adj[b].cbegin(), adj[b].cend(), [a](const Neighbour& n) { return n._end == a; });
adj[b].erase(itb);
}
bool hasEdge(int a, int b) {
auto it = find_if(adj[a].cbegin(), adj[a].cend(), [b](const Neighbour& n) { return n._end == b; });
// here you might want to check if adjacency list for b also contains entry for the edge
return it != adj[a].cend();
}
int edgeWeight(int a, int b) {
auto it = find_if(adj[a].cbegin(), adj[a].cend(), [b](const Neighbour& n) { return n._end == b; });
// the same as in hasEdge, some consistency check might be needed
return it->_weight;
}
};
void testG() {
G g(4);
g.addEdge(0, 1, 10);
g.addEdge(1, 2, 20);
g.addEdge(2, 3, 30);
cout << boolalpha;
cout << g.hasEdge(0, 1) << " w = " << g.edgeWeight(0, 1) << endl;
cout << g.hasEdge(1, 2) << " w = " << g.edgeWeight(1, 2) << endl;
cout << g.hasEdge(2, 3) << " w = " << g.edgeWeight(2, 3) << endl;
g.dropEdge(1, 2);
cout << g.hasEdge(1, 2) << endl;
}
int main() {
testG();
system("pause");
return 0;
}
true w = 10
true w = 20
true w = 30
false
Storing graph with adjacency list representation leads to some information duplication, so it is good to have consistency checks.
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