Data Structures and Algorithms 2
Autor K. Mehlhornen Limba Engleză Paperback – 25 dec 2011
Preț: 320.26 lei
Preț vechi: 400.32 lei
-20%
Puncte Express: 480
Carte tipărită la comandă
Livrare economică 30 iulie-13 august
Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 400.00 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Specificații
ISBN-13: 9783642698996
ISBN-10: 3642698999
Pagini: 280
Ilustrații: XII, 262 p.
Dimensiuni: 170 x 242 x 16 mm
Greutate: 0.48 kg
Ediția:Softcover reprint of the original 1st ed. 1984
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642698999
Pagini: 280
Ilustrații: XII, 262 p.
Dimensiuni: 170 x 242 x 16 mm
Greutate: 0.48 kg
Ediția:Softcover reprint of the original 1st ed. 1984
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Vol. 2: Graph Algorithms and NP-Completeness.- IV. Algorithms on Graphs.- 1. Graphs and their Representation in a Computer.- 2. Topological Sorting and the Representation Problem.- 3. Transitive Closure of Acyclic Digraphs.- 4. Systematic Exploration of a Graph.- 5. A Close Look at Depth First Search.- 6. Strongly-Connected and Biconnected Components of Directed and Undirected Graphs.- 7. Least Cost Paths in Networks.- 8. Minimum Spanning Trees.- 9. Maximum Network Flow and Applications.- 10. Planar Graphs.- 11. Exercises.- 12. Bibliographic Notes.- V. Path Problems in Graphs and Matrix Multiplication.- 1. General Path Problems.- 2. Two Special Cases: Least Cost Paths and Transitive Closure.- 3. General Path Problems and Matrix Multiplication.- 4. Matrix Multiplication in a Ring.- 5. Boolean Matrix Multiplication and Transitive Closure.- 6. (Min,+)-Product of Matrices and Least Cost Paths.- 7. A Lower Bound on the Monotone Complexity of Matrix Multiplication.- 8. Exercises.- 9. Bibliographic Notes.- VI. NP-Completeness.- 1. Turing Machines and Random Access Machines.- 2. Problems, Languages and Optimization Problems.- 3. Reductions and NP-complete Problems.- 4. The Satisfiability Problem is NP-complete.- 5. More NP-complete Problems.- 6. Solving NP-complete Problems.- 7. Approximation Algorithms.- 8. The Landscape of Complexity Classes.- 9. Exercises.- 10. Bibliographic Notes.- IX. Algorithmic Paradigms.