Preface --; Part I. Introduction: 1. Introduction. 2. Algorithmic Techniques --; Part II. Algorithms on Trees: 3. Tree Traversal. 4. Tree Isomorphism --; Part III. Algorithms on Graphs: 5. Graph Traversal. 6. Clique, Independent Set, and Vertex Cover. 7. Graph Isomorphism; Appendices: A. An Overview of Leda. B. Interactive Demonstration of Graph Algorithms. C. Program Modules. --; References --; Index.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, like approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased attention from computational molecular biology and computational chemistry. Centered around the fundamental issue of graph isomorphism, this text goes beyond classical graph problems of shortest paths, spanning trees, flows in networks, and matchings in bipartite graphs. Advanced algorithmic results and techniques of practical relevance are presented in a coherent and consolidated way. This book introduces graph algorithms on an intuitive basis followed by a detailed exposition in a literate programming style, with correctness proofs as well as worst-case analyses. Furthermore, full C++ implementations of all algorithms presented are given using the LEDA library of efficient data structures and algorithms. Numerous illustrations, examples, and exercises, and a comprehensive bibliography support students and professionals in using the book as a text and source of reference.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Chemistry.
موضوع مستند نشده
Computer science.
موضوع مستند نشده
Data structures (Computer science)
رده بندی کنگره
شماره رده
QA76
.
9
.
M35
نشانه اثر
B943
2002
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )