000			03596 a2200217 4500
003			Nust
005			20170207154017.0
010			_a 98025050
020			_a0201361205
040			_cNust
082	0	0	_a005.133
100	1		_aSedgewick, Robert,
245	1	0	_aAlgorithms in Java (E-BOOK) _cRobert Sedgewick.
250			_a3rd ed.
260			_aBoston : _bAddison-Wesley, _cc2003-<2004>
300			_av. <1-2 > : _bill. ; _c24 cm.
505	1		_a Preface Algorithms Scope Use in the Curriculum Algorithms of Practical Use Programming Language Acknowledgments Java Consultant's Preface Notes on Exercises Part V: Graph Algorithms Chapter 17. Graph Properties and Types Section 17.1. Glossary Section 17.2. Graph ADT Section 17.3. Adjacency-Matrix Representation Section 17.4. Adjacency-Lists Representation Section 17.5. Variations, Extensions, and Costs Section 17.6. Graph Generators Section 17.7. Simple, Euler, and Hamilton Paths Section 17.8. Graph-Processing Problems Chapter 18. Graph Search Section 18.1. Exploring a Maze Section 18.2. Depth-First Search Section 18.3. Graph-Search ADT Methods Section 18.4. Properties of DFS Forests Section 18.5. DFS Algorithms Section 18.6. Separability and Biconnectivity Section 18.7. Breadth-First Search Section 18.8. Generalized Graph Search Section 18.9. Analysis of Graph Algorithms Chapter 19. Digraphs and DAGs Exercises Section 19.1. Glossary and Rules of the Game Section 19.2. Anatomy of DFS in Digraphs Section 19.3. Reachability and Transitive Closure Section 19.4. Equivalence Relations and Partial Orders Section 19.5. DAGs Section 19.6. Topological Sorting Section 19.7. Reachability in DAGs Section 19.8. Strong Components in Digraphs Section 19.9. Transitive Closure Revisited Section 19.10. Perspective Chapter 20. Minimum Spanning Trees Exercises Section 20.1. Representations Section 20.2. Underlying Principles of MST Algorithms Section 20.3. Prim's Algorithm and Priority-First Search Section 20.4. Kruskal's Algorithm Section 20.5. Boruvka's Algorithm Section 20.6. Comparisons and Improvements Section 20.7. Euclidean MST Chapter 21. Shortest Paths Exercises Section 21.1. Underlying Principles Section 21.2. Dijkstra's Algorithm Section 21.3. All-Pairs Shortest Paths Section 21.4. Shortest Paths in Acyclic Networks Section 21.5. Euclidean Networks Section 21.6. Reduction Section 21.7. Negative Weights Section 21.8. Perspective Chapter 22. Network Flow Section 22.1. Flow Networks Section 22.2. Augmenting-Path Maxflow Algorithms Section 22.3. Preflow-Push Maxflow Algorithms Section 22.4. Maxflow Reductions Section 22.5. Mincost Flows Section 22.6. Network Simplex Algorithm Section 22.7. Mincost-Flow Reductions Section 22.8. Perspective
650		0	_aComputer algorithms.
650		0	_aJava (Computer program language)
651			_aAlgorithms in Java (E-BOOK)
942			_2ddc _cBK
999			_c191469 _d191469