Besides their intrinsic mathematical interest, geometric partial differential equations (PDEs) are ubiquitous in many scientific, engineering and industrial applications. They represent an intellectual challenge and have received a great deal of attention recently. The purpose of this volume is to provide a missing reference consisting of self-contained and comprehensive presentations. It includes basic ideas, analysis and applications of state-of-the-art fundamental algorithms for the approximation of geometric PDEs together with their impacts in a variety of fields within mathematics, science, and engineering.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Contributors - p. xi 6. Preface - p. xiii 7. Chapter 1: Shape and topology optimization - p. 1 8. Chapter 2: Optimal transport: discretization and algorithms - p. 133 9. Chapter 3: Optimal control of geometric partial differential equations - p. 213 10. Chapter 4: Lagrangian schemes for Wasserstein gradient flows - p. 271 11. Chapter 5: The Q-tensor model with uniaxial constraint - p. 313 12. Chapter 6: Approximating the total variation with finite differences or finite elements - p. 383 13. Chapter 7: Numerical simulation and benchmarking of drops and bubbles - p. 419 14. Chapter 8: Smooth multi-patch discretizations in Isogeometric Analysis - p. 467 15. Index - p. 545
Besides their intrinsic mathematical interest, geometric partial differential equations (PDEs) are ubiquitous in many scientific, engineering and industrial applications. They represent an intellectual challenge and have received a great deal of attention recently. The purpose of this volume is to provide a missing reference consisting of self-contained and comprehensive presentations. It includes basic ideas, analysis and applications of state-of-the-art fundamental algorithms for the approximation of geometric PDEs together with their impacts in a variety of fields within mathematics, science, and engineering.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Contributors - p. xi 6. Preface - p. xiii 7. Chapter 1: Shape and topology optimization - p. 1 8. Chapter 2: Optimal transport: discretization and algorithms - p. 133 9. Chapter 3: Optimal control of geometric partial differential equations - p. 213 10. Chapter 4: Lagrangian schemes for Wasserstein gradient flows - p. 271 11. Chapter 5: The Q-tensor model with uniaxial constraint - p. 313 12. Chapter 6: Approximating the total variation with finite differences or finite elements - p. 383 13. Chapter 7: Numerical simulation and benchmarking of drops and bubbles - p. 419 14. Chapter 8: Smooth multi-patch discretizations in Isogeometric Analysis - p. 467 15. Index - p. 545