This book is a masterful unification of disparate fields and lessons from nature and derives comprehensible and realistic design principles.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Tour d'horizon Part I. Distribution Networks: 1. Simple flows 2. Continuum formulations 3. Multi-class and destination-specific flows 4. Design optimality under variable loading 5. Concave costs and hierarchical structure 6. Road networks 7. Structural optimisation: Michell structures 8. Structures: computational experience of evolutionary algorithms 9. Structure design for variable loading Part II. Artificial Neural Networks: 10. Models and learning 11. Some particular nets 12. Oscillatory operation Part III. Processing Networks: 13. Queuing networks 14. Time-sharing networks Part IV. Communication Networks: 15. Loss networks: optimality and robustness 16. Loss networks: stochastics and self-regulation 17. Operation of the Internet 18. Evolving networks and the World-wide Web Appendix 1. Spatial integrals for the telephone problem Appendix 2. Bandit and tax processes Appendix 3. Random graphs and polymer models References Index.
Tour d'horizon; Part I. Distribution Networks: 1. Simple flows; 2. Continuum formulations; 3. Multi-class and destination-specific flows; 4. Design optimality under variable loading; 5. Concave costs and hierarchical structure; 6. Road networks; 7. Structural optimisation: Michell structures; 8. Structures: computational experience of evolutionary algorithms; 9. Structure design for variable loading; Part II. Artificial Neural Networks: 10. Models and learning; 11. Some particular nets; 12. Oscillatory operation; Part III. Processing Networks: 13. Queuing networks; 14. Time-sharing networks; Part IV. Communication Networks: 15. Loss networks: optimality and robustness; 16. Loss networks: stochastics and self-regulation; 17. Operation of the Internet; 18. Evolving networks and the World-wide Web; Appendix 1. Spatial integrals for the telephone problem; Appendix 2. Bandit and tax processes; Appendix 3. Random graphs and polymer models; References; Index.
Tour d'horizon Part I. Distribution Networks: 1. Simple flows 2. Continuum formulations 3. Multi-class and destination-specific flows 4. Design optimality under variable loading 5. Concave costs and hierarchical structure 6. Road networks 7. Structural optimisation: Michell structures 8. Structures: computational experience of evolutionary algorithms 9. Structure design for variable loading Part II. Artificial Neural Networks: 10. Models and learning 11. Some particular nets 12. Oscillatory operation Part III. Processing Networks: 13. Queuing networks 14. Time-sharing networks Part IV. Communication Networks: 15. Loss networks: optimality and robustness 16. Loss networks: stochastics and self-regulation 17. Operation of the Internet 18. Evolving networks and the World-wide Web Appendix 1. Spatial integrals for the telephone problem Appendix 2. Bandit and tax processes Appendix 3. Random graphs and polymer models References Index.
Tour d'horizon; Part I. Distribution Networks: 1. Simple flows; 2. Continuum formulations; 3. Multi-class and destination-specific flows; 4. Design optimality under variable loading; 5. Concave costs and hierarchical structure; 6. Road networks; 7. Structural optimisation: Michell structures; 8. Structures: computational experience of evolutionary algorithms; 9. Structure design for variable loading; Part II. Artificial Neural Networks: 10. Models and learning; 11. Some particular nets; 12. Oscillatory operation; Part III. Processing Networks: 13. Queuing networks; 14. Time-sharing networks; Part IV. Communication Networks: 15. Loss networks: optimality and robustness; 16. Loss networks: stochastics and self-regulation; 17. Operation of the Internet; 18. Evolving networks and the World-wide Web; Appendix 1. Spatial integrals for the telephone problem; Appendix 2. Bandit and tax processes; Appendix 3. Random graphs and polymer models; References; Index.
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Review of the hardback: '... a remarkable book ... a pleasure to read ... plenty of interesting results, ideas and inspiration.' Hartmut Noltemeier, Zentralblatt MATH
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