Leda graph manual

graph: G: creates an object G of type graph and initializes it to the empty directed graph.. graph: G(int n_slots, int e_slots) this constructor specifies the numbers of free data slots in the nodes and edges of G that can be used for storing the entries of node and edge arrays. See also the description of the use_node_data() and use_edge_data() operations in Node Arrays and Edge Arrays. Like many other graph algorithms of LEDA, STRONG_COMPONENTS() expects a directed graph as input. Since we are dealing here with a graph that is undirected in the classical sense, we additionally insert the reverse edge for every inserted edge; as discussed in Section , . The LEDA function DFS_NUM() executes a depth first search on a directed graph and calculates the DFS number and the completion number for every node. A graph and two node arrays that are valid on it, dfsnum and compnum, have to be passed to the function as arguments. The function returns a list of the edges traversed during the search.

Combinatorial and Graph Algorithms. School of Computing, National University of Singapore. LEDA (Sept) L ibrary of E fficient D ata Types and A lgorithms (LEDA) is a software library that implements many data types and algorithms frequently used in combinatorial computing. LEDA is now a commercial product that is marketed and supported. LEDA. LEDA for C++. LEDA is AlgoSol's C++ class library for efficient data types and algorithms. LEDA provides algorithmic in-depth knowledge in the field of graph- and network problems, geometric computations, combinatorial optimization and other. It offers a huge number of relevant algorithms in an easy-to-use and efficient form. The first line always contains the string www.doorway.ru If the graph type is not parameterized, i.e. graph, the following two lines both contain the string void. In case the graph is parameterized, i.e. GRAPH, these lines contain a description of the node type and the edge type. The fourth line specifies if the graph is either directed (-1) or.

The standard distribution contains source code, installation information, and a complete user's manual. Please note that LEDA is not in the public domain, but may be used freely for research and teaching. Commercial licenses are availabe through the LEDA home page. LEDA comprises an extensive collection of data structures and types. Graph Windows (GraphWin) Definition. GraphWin combines the two types graph and window and forms a bridge between the graph data types and algorithms and the graphics interface of LEDA. GraphWin can easily be used in LEDA programs for constructing, displaying and manipulating graphs and for animating and debugging graph algorithms. LEDA. LEDA for C++. LEDA is AlgoSol’s C++ class library for efficient data types and algorithms. LEDA provides algorithmic in-depth knowledge in the field of graph- and network problems, geometric computations, combinatorial optimization and other. It offers a huge number of relevant algorithms in an easy-to-use and efficient form.