breadth-first-search

I am writing a daemon that utilizes inotify to monitor file access and it is critical that I don't miss anything on a recursive search. I found this interesting idea and have begun to implement it. ftw() and ftw64() do not use a breadth-first algorithm, its more "pre-order". nftw() gives me the option of depth-first, but I'm worried about races in upper leaves. I'm hoping that I'm missing something, perhaps a GNU extension? Or am I just looking at implementing my own with type safe call backs (something I'd really rather not do) ? Or, is my understanding of the advantages of breadth-first over

I'm looking for some algorithm which will help me find all possible paths in a graph. Everything I found so far is not fully satisfying. Let's imagine we have a graph (tree) like this one: And let's use some algorithm like Breadth-First Search or Depth-First Search . In return we'll get something like 1, 2, 4, (2), 5, (2), 6, (2), (1), 3, 7, 8, (7), 9 Which is how we go through this tree and this is not what I'm looking for. I'd love to get all paths, like: 1 1, 2 1, 2, 4 1, 2, 5 1, 2, 6 1, 3 1, 3, 7 1, 3, 7, 8 1, 3, 7, 9 The thing is that I want just to specify root node and algorithm should

I'm trying to refactor a component that currently produces a Seq[X] using a fairly expensive recursive algorithm so that it produces a Stream[X] instead, so X 's can be loaded/calculated on-demand, and the producer doesn't have to try to guess beforehand how much digging it'll have to do to satisfy the consumer. From what I've read, this is an ideal use for an "unfold", so that's the route I've been trying to take. Here's my unfold function, derived from David Pollak's example , which has been vetted by a certain Mr. Morris: def unfold[T,R](init: T)(f: T => Option[(R,T)]): Stream[R] = f(init)

I am a beginner in Java, and I need some help. I am trying to implement Breadth First Search algorithm to solve a puzzle game (Unblock Me a game on Android). I am done with the GUI, but I am stuck with the algorithm. So far I can count the available moves of each block, which supposed to be the children nodes of the root node. Each node (linkedlist) has the position of each block, and all the nodes are being stored in a Set. What I need now is to mark each node as visited, so I don't get into an infinite loop. I would appreciate any kind of help, and please correct me if I am mistaken with

Say I found the node that meets my criteria and I need to stop the search. The solution is to throw an exception of your known type - then catch it on the calling side. From the FAQ : How do I perform an early exit from an algorithm such as BFS? Create a visitor that throws an exception when you want to cut off the search, then put your call to breadth_first_search inside of an appropriate try/catch block. This strikes many programmers as a misuse of exceptions, however, much thought was put into the decision to have exceptions has the preferred way to exit early. See boost email discussions

I have created a random (Erdos-Renyi) network that has 100 nodes. I have set an attribute value for all 100 nodes as 0. I find the node with the maximum degree (the most neighbors), and change its attribute value from 0 to 1. Then, using the node as the root node, I do a breadth first search (BFS) on the network. Here is my code to do this so far: # Loads the igraph package library(igraph) # Creates a random (Erdos-Renyi) network with 100 nodes and edges with p = 0.2 graph <- erdos.renyi.game(100, 0.2, type = c("gnp", "gnm"), directed = FALSE, loops = FALSE) # Sets the attributes of all the