The Boost Graph Library: User Guide and Reference Manual
Год: 2002
Автор: Jeremy G. Siek, Lie-Quan Lee, Andrew Lumsdaine
Жанр: С++
Серия: С++ in Depth
Издательство: Addison-Wesley Professional
ISBN: 978-0201729146
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Количество страниц: 345
Описание: The Boost Graphic Library (BGL) gives experienced C++ developers high quality implementations of a wide range of graph data structures and algorithms -- helping them save time that would otherwise have been spent on developing and debugging. Now, the BGL's creators offer a complete tutorial and reference designed to help developers get results with the BGL quickly. They also offer practical, hard-to-find guidance on generic programming that can help developers build their own software development libraries. For practicing programmers, the book introduces high quality implementations of graph data structures and algorithms that deliver outstanding efficiency and performance, and presents the BGL's flexible interface, which enables programmers to apply graph algorithms in settings where a graph may exist only implicitly. For all intermediate-to-advanced C++ programmers.
Одна из книг серии С++ in Depth, представлено описание библиотеки Boost Graph Library.
Оглавление
Foreword.
Preface.
I User Guide.
1. Introduction.
Some Graph Terminology.
Graph Concepts.
Vertex and Edge Descriptors.
Property Maps.
Graph Traversa.
Graph Construction and Modification
Algorithm Visitors.
Graph Classes and Adaptors.
Graph Classes.
Graph Adaptors.
Generic Graph Algorithms.
The Topological Sort Generic Algorithm.
The Depth-First Search Generic Algorithm.
2.Generic Programming in C++.
Introduction.
Polymorphism in Object-Oriented Programming.
Polymorphism in Generic Programming.
Comparison of GP and OOP.
Generic Programming and the STL.
Concepts and Models.
Sets of Requirements.
Example: InputIterator.
Associated Types and Traits Classes.
Associated Types Needed in Function Template.
Typedefs Nested in Classes.
Definition of a Traits Class.
Partial Specialization.
Tag Dispatching.
Concept Checking.
Concept-Checking Classes.
Concept Archetypes.
The Boost Namespace.
Classes.
Koenig Lookup.
Named Function Parameters.
3. A BGL Tutorial.
File Dependencies.
Graph Setup.
Compilation Order.
Topological Sort via DFS.
Marking Vertices Using External Properties.
Accessing Adjacent Vertices.
Traversing All the Vertices.
Cyclic Dependencies.
Toward a Generic DFS: Visitors.
Graph Setup: Internal Properties.
Compilation Time.
A Generic Topological Sort and DFS.
Parallel Compilation Time.
Summary.
4. Basic Graph Algorithms.
Breadth-First Search.
Definitions.
Six Degrees of Kevin Bacon.
Depth-First Search.
Definitions.
Finding Loops in Program-Control-Flow Graphs.
5. Shortest-Paths Problems.
Definitions.
Internet Routing.
Bellman-Ford and Distance Vector Routing.
Dijkstra and Link-State Routing.
6. Minimum-Spanning-Tree Problem.
Definitions.
Telephone Network Planning.
Kruskal's Algorithm.
Prim's Algorithm.
7. Connected Components.
Definitions.
Connected Components and Internet Connectivity.
Strongly Connected Components and Web Page Links.
8. Maximum Flow.
Definitions.
Edge Connectivity.
9. Implicit Graphs: A Knight's Tour.
Knight's Jumps as a Graph.
Backtracking Graph Search.
Warnsdorff's Heuristic.
10. Interfacing with Other Graph Libraries.
Using BGL Topological Sort with a LEDA Graph.
Using BGL Topological Sort with a SGB Graph.
Implementing Graph Adaptors.
11. Performance Guidelines.
Graph Class Comparisons.
The Results and Discussion.
Conclusion.
II Reference Manual.
12. BGL Concepts.
Graph Traversal Concepts.
Undirected Graphs.
Graph.
IncidenceGraph.
BidirectionalGraph.
AdjacencyGraph.
VertexListGraph.
EdgeListGraph.
AdjacencyMatrix.
Graph Modification Concepts.
VertexMutableGraph.
EdgeMutableGraph.
MutableIncidenceGraph.
MutableBidirectionalGraph.
MutableEdgeListGraph.
PropertyGraph.
VertexMutablePropertyGraph.
EdgeMutablePropertyGraph.
Visitor Concepts.
BFSVisitor.
DFSVisitor.
DijkstraVisitor.
BellmanFordVisitor.
13. BGL Algorithms.
Overview.
Basic Algorithms.
breadth_first_search.
breadth_first_visit.
depth_first_search.
depth_first_visit.
topological_sort.
Shortest-Path Algorithms.
dijkstra_shortest_paths.
bellman_ford_shortest_paths.
johnson_all_pairs_shortest_paths.
Minimum-Spanning-Tree Algorithms.
kruskal_minimum_spanning_tree.
prim_minimum_spanning_tree.
Static Connected Components.
connected_components.
strong_components.
Incremental Connected Components.
initialize_incremental_components.
incremental_components.
same_component.
component_index.
Maximum-Flow Algorithms.
edmunds_karp_max_flow.
push_relabel_max_flow.
14. BGL Classes.
Graph Classes.
adjacency_list.
adjacency_matrix.
Auxiliary Classes.
graph_traits.
adjacency_list_traits.
adjacency_matrix_traits.
property_map.
property.
Graph Adaptors.
edge_list.
reverse_graph.
filtered_graph.
SGB GraphPointer.
LEDA GRAPH<V,E>.
std::vector<EdgeList>.
15. Property Map Library.
Property Map Concepts.
ReadablePropertyMap.
WritablePropertyMap.
ReadWritePropertyMap.
LvaluePropertyMap.
Property Map Classes.
property_traits.
iterator_property_map.
Property Tags.
Creating Your Own Property Maps.
Property Maps for Stanford GraphBase.
A Property Map Implemented with std::map.
16 Auxiliary Concepts, Classes, and Functions.
Buffer.
ColorValue.
MultiPassInputIterator.
Monoid.
mutable queue.
Disjoint Sets.
disjoint_sets.
find_with_path_halving.
find_with_full_path_compression.
tie.
graph_property_iter_range.
Bibliography.
