Mathematical studies of a phase field approach to shape optimization

Mathematics

1. Assertion 8%
2. Cahn-Hilliard 6%
3. Cahn-Hilliard Equation 26%
4. Calculus 6%
5. Constrained Minimization 11%
6. Continuous Dependence 5%
7. Costs 7%
8. Data Consistency 7%
9. Data Perturbation 6%
10. Demonstrate 9%
11. Dependent 9%
12. Diffuse Interface 7%
13. Directional Differentiability 6%
14. Drag 7%
15. Drugs 11%
16. Effect Sparsity 9%
17. Estimate 6%
18. Exponential Attractors 21%
19. First-order Optimality Conditions 13%
20. Fractal Dimension 8%
21. Generalized Equation 7%
22. Global Attractor 16%
23. Identification Problem 18%
24. Image Inpainting 13%
25. Interval 7%
26. Inverse Problem 27%
27. Linear Elasticity 6%
28. Logarithmic Potential 22%
29. Long-time Behavior 8%
30. Magnetostatics 5%
31. Maxwell System 20%
32. Mechanical Stress 9%
33. Minimization Problem 8%
34. Model 16%
35. Necessary Optimality Conditions 5%
36. Nonlocal Equations 6%
37. Nutrients 26%
38. Optimal Control 17%
39. Optimal Shape 11%
40. Optimality Conditions 14%
41. Optimality System 10%
42. Optimization Problem 7%
43. Phase Field 100%
44. Quasilinear System 20%
45. Reaction-diffusion Equations 10%
46. Regularity 16%
47. Regularization 18%
48. Regularization Parameter 8%
49. Shape Optimization 15%
50. Singular Potential 6%
51. Source Terms 16%
52. Strong Solution 13%
53. Total Variation 8%
54. Tumor 34%
55. Uniqueness 5%
56. Weak Solution 6%
57. Well-posedness 26%