Optimal transportation networks : models and theory /

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Bibliographic Details
Author / Creator:Bernot, Marc.
Edition:1. ed.
Imprint:Berlin : Springer, c2009.
Description:x, 200 p. : ill. (some col.), maps ; 24 cm.
Language:English
Series:Lecture notes in mathematics, 0075-8434 ; 1955
Lecture notes in mathematics (Springer-Verlag) ; 1955.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/7363426
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Other authors / contributors:Caselles, Vicent.
Morel, Jean M.
ISBN:9783540693147
3540693149
Notes:Includes bibliographical references (p. 193-197) and index.
Table of Contents:
  • 1. Introduction: The Models
  • 2. The Mathematical Models
  • 2.1. The Monge-Kantorovich Problem
  • 2.2. The Gilbert-Steiner Problem
  • 2.3. Three Continuous Extensions of the Gilbert-Steiner Problem
  • 2.3.1. Xia's Transport Paths
  • 2.3.2. Maddalena-Solimini's Patterns
  • 2.3.3. Traffic Plans
  • 2.4. Questions and Answers
  • 2.4.1. Plan
  • 2.5. Related Problems and Models
  • 2.5.1. Measures on Sets of Paths
  • 2.5.2. Urban Transportation Models with more than One Transportation Means
  • 3. Traffic Plans
  • 3.1. Parameterized Traffic Plans
  • 3.2. Stability Properties of Traffic Plans
  • 3.2.1. Lower Semicontinuity of Length, Stopping Time, Averaged Length and Averaged Stopping Time
  • 3.2.2. Multiplicity of a Traffic Plan and its Upper Semicontinuity
  • 3.2.3. Sequential Compactness of Traffic Plans
  • 3.3. Application to the Monge-Kantorovich Problem
  • 3.4. Energy of a Traffic Plan and Existence of a Minimizer
  • 4. The Structure of Optimal Traffic Plans
  • 4.1. Speed Normalization
  • 4.2. Loop-Free Traffic Plans
  • 4.3. The Generalized Gilbert Energy
  • 4.3.1. Rectifiability of Traffic Plans with Finite Energy
  • 4.4. Appendix: Measurability Lemmas
  • 5. Operations on Traffic Plans
  • 5.1. Elementary Operations
  • 5.1.1. Restriction, Domain of a Traffic Plan
  • 5.1.2. Sum of Traffic Plans (or Union of their Parameterizations)
  • 5.1.3. Mass Normalization
  • 5.2. Concatenation
  • 5.2.1. Concatenation of Two Traffic Plans
  • 5.2.2. Hierarchical Concatenation (Construction of Infinite Irrigating Trees or Patterns)
  • 5.3. A Priori Properties on Minimizers
  • 5.3.1. An Assumption on [mu superscript +], [mu superscript -] and [pi] Avoiding Fibers with Zero Length
  • 5.3.2. A Convex Hull Property
  • 6. Traffic Plans and Distances between Measures
  • 6.1. All Measures can be Irrigated for [alpha] > 1 - 1/N
  • 6.2. Stability with Respect to [mu superscript +] and [mu superscript -]
  • 6.3. Comparison of Distances between Measures
  • 7. The Tree Structure of Optimal Traffic Plans and their Approximation
  • 7.1. The Single Path Property
  • 7.2. The Tree Property
  • 7.3. Decomposition into Trees and Finite Graphs Approximation
  • 7.4. Bi-Lipschitz Regularity
  • 8. Interior and Boundary Regularity
  • 8.1. Connected Components of a Traffic Plan
  • 8.2. Cuts and Branching Points of a Traffic Plan
  • 8.3. Interior Regularity
  • 8.3.1. The Main Lemma
  • 8.3.2. Interior Regularity when [characters not reproducible]
  • 8.3.3. Interior Regularity when [mu superscript +] is a Finite Atomic Measure
  • 8.4. Boundary Regularity
  • 8.4.1. Further Regularity Properties
  • 9. The Equivalence of Various Models
  • 9.1. Irrigating Finite Atomic Measures (Gilbert-Steiner) and Traffic Plans
  • 9.2. Patterns (Maddalena et al.) and Traffic Plans
  • 9.3. Transport Paths (Qinglan Xia) and Traffic Plans
  • 9.4. Optimal Transportation Networks as Flat Chains
  • 10. Irrigability and Dimension
  • 10.1. Several Concepts of Dimension of a Measure and Irrigability Results
  • 10.2. Lower Bound on d([mu])
  • 10.3. Upper Bound on d([mu])
  • 10.4. Remarks and Examples
  • 11. The Landscape of an Optimal Pattern
  • 11.1. Introduction
  • 11.1.1. Landscape Equilibrium and OCNs in Geophysics
  • 11.2. A General Development Formula
  • 11.3. Existence of the Landscape Function and Applications
  • 11.3.1. Well-Definedness of the Landscape Function
  • 11.3.2. Variational Applications
  • 11.4. Properties of the Landscape Function
  • 11.4.1. Semicontinuity
  • 11.4.2. Maximal Slope in the Network Direction
  • 11.5. Holder Continuity under Extra Assumptions
  • 11.5.1. Campanato Spaces by Medians
  • 11.5.2. Holder Continuity of the Landscape Function
  • 12. The Gilbert-Steiner Problem
  • 12.1. Optimum Irrigation from One Source to Two Sinks
  • 12.2. Optimal Shape of a Traffic Plan with given Dyadic Topology
  • 12.2.1. Topology of a Graph
  • 12.2.2. A Recursive Construction of an Optimum with Full Steiner Topology
  • 12.3. Number of Branches at a Bifurcation
  • 13. Dirac to Lebesgue Segment: A Case Study
  • 13.1. Analytical Results
  • 13.1.1. The Case of a Source Aligned with the Segment
  • 13.2. A "T Structure" is not Optimal
  • 13.3. The Boundary Behavior of an Optimal Solution
  • 13.4. Can Fibers Move along the Segment in the Optimal Structure?
  • 13.5. Numerical Results
  • 13.5.1. Coding of the Topology
  • 13.5.2. Exhaustive Search
  • 13.6. Heuristics for Topology Optimization
  • 13.6.1. Multiscale Method
  • 13.6.2. Optimality of Subtrees
  • 13.6.3. Perturbation of the Topology
  • 14. Application: Embedded Irrigation Networks
  • 14.1. Irrigation Networks made of Tubes
  • 14.1.1. Anticipating some Conclusions
  • 14.2. Getting Back to the Gilbert Functional
  • 14.3. A Consequence of the Space-filling Condition
  • 14.4. Source to Volume Transfer Energy
  • 14.5. Final Remarks
  • 15. Open Problems
  • 15.1. Stability
  • 15.2. Regularity
  • 15.3. The who goes where Problem
  • 15.4. Dirac to Lebesgue Segment
  • 15.5. Algorithm or Construction of Local Optima
  • 15.6. Structure
  • 15.7. Scaling Laws
  • 15.8. Local Optimality in the Case of Non Irrigability
  • A. Skorokhod Theorem
  • B. Flows in Tubes
  • B.1. Poiseuille's Law
  • B.2. Optimality of the Circular Section
  • C. Notations
  • References
  • Index