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0 1 4 9 16 25 36 49 64 81 100

Listing 8-3. Recursive, Memoized DAG Shortest Path def rec_dag_sp(W, s, t): @memo def d(u): if u == t: return 0 return min(W[u][v]+d(v) for v in W[u]) return d(s) # # # # # # Shortest path from s to t Memoize f Distance from u to t We're there! Best of every first step Apply f to actual start node

//success if (e.SocketError == SocketError.Success) { //switch context ParentPage.Dispatcher.BeginInvoke(new Action(delegate { //send was successful, add message to ongoing conversation Conversation.Add(e.UserToken as TextMessage); //reset edit box MessageBody = ""; })); } } //disconnect internal void Disconnect() { SocketAsyncEventArgs sockEvtArgs = new SocketAsyncEventArgs(); //package a ConnectionDisconnectionRequest with Connect=false MemoryStream SerializedStream = MessageWrapper.SerializeMessage( new MessageWrapper { Message = new ConnectionDisconnectionRequest { From = Me, Connect = false } }); sockEvtArgs.SetBuffer( SerializedStream.GetBuffer(), 0, (int)SerializedStream.Length); sockEvtArgs.Completed += new EventHandler<SocketAsyncEventArgs>(DisconnectRequest_Completed); ClientSocket.SendAsync(sockEvtArgs); } //disconnect completed void DisconnectRequest_Completed(object sender, SocketAsyncEventArgs e) { //success if (e.SocketError == SocketError.Success) { //reset my identity this.Me = null; //clear all participants Participants.Clear();

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In my opinion, the implementation in Listing 8-3 is quite elegant It directly expresses the inductive idea of the algorithm, while abstracting away the memoization However, this is not the classical way of expressing this algorithm What is customarily done here, as in so many other DP algorithms, is to turn the algorithm upside down and make it iterative The iterative version of the DAG shortest path algorithm works by propagating partial solutions step by step, using the relaxation idea introduced in 48 Because of the way we represent graphs (that is, we usually access nodes by out-edges, rather than in-edges), it can be useful to reverse the inductive design: instead of thinking about where we want to go, we think about where we want to come from.

The third column is arrived at using the formula shown in Figure 9-14. Vinitial is the initial value of the property and Vfinal is the final value.

//show login screen ParentPage.ShowLoginView(); } } //end a chat internal void SendChatEnd() { MessageWrapper mwSend = new MessageWrapper { Message = new ChatEndNotification { From = Me, To = TalkingTo } }; MemoryStream SerializedStream = MessageWrapper.SerializeMessage(mwSend); SocketAsyncEventArgs sockEvtArgsSend = new SocketAsyncEventArgs { UserToken = mwSend.Message }; sockEvtArgsSend.SetBuffer( SerializedStream.GetBuffer(), 0, (int)SerializedStream.Length); sockEvtArgsSend.Completed += new EventHandler<SocketAsyncEventArgs>(SendChatEnd_Completed); ClientSocket.SendAsync(sockEvtArgsSend); } //chat ended void SendChatEnd_Completed(object sender, SocketAsyncEventArgs e) { //success if (e.SocketError == SocketError.Success) { //switch context ParentPage.Dispatcher.BeginInvoke(new Action(delegate { //reset identity of the other participant this.TalkingTo = null; //clear the conversation Conversation.Clear(); //switch back to the participants view ParentPage.ShowParticipantsView(); })); } } } }

Then we want to make sure that once we reach a node v, we have already propagated correct answers from all v s predecessors That is, we have already relaxed its in-edges This raises the question how can we be sure we ve done that The way to know is to sort the nodes topologically, as they are in Figure 8-3 The neat thing about the recursive version (in Listing 8-3) is that no separate topological sorting is needed The recursion implicitly performs a DFS and does all updates in topologically sorted order automatically For our iterative solution, though, we need to perform a separate topological sorting If you want to get away from the recursion entirely, you can use topsort from Listing 4-10; if you don t mind, you could use dfs_topsort from Listing 5-7 (although then you re already quite close to the memoized recursive solution).

As discussed before, ClientConnectionManager is used as the datasource for most of the data bound to the XAML for the client UI, and therefore implements INotifyPropertyChanged; the appropriate property setters raise PropertyChanged events After the user specifies the IP address, a port, and a participant name in the initial login screen, you establish a connection to the server To do this, you call the Join() method, which uses the SocketConnectAsync() method to establish the server connection You specify the details of the remote endpoint (IP address and port) in the SocketeventArgs parameter You also specify Connection_Completed() as the completion handler for ConnectAsync() When a successful socket connection is established, in Connection_Completed() you send the first application-specific message of type ConnectionDisconnectionRequest to the server, with the ConnectionDisconnectionRequestConnect property set to True, to indicate a request for connection.

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