Variational structures, convergence to equilibrium and multiscale analysis for non-Markovian systems

Mathematics

1. Cost Optimization 100%
2. Gradient Projection Method 83%
3. Incentives 82%
4. Periodic Potential 77%
5. Model Reduction 71%
6. Barycentre 69%
7. Mean Field 66%
8. Finite Population 64%
9. Free Energy 64%
10. Long-time Behavior 62%
11. Brownian motion 52%
12. Stochastic Differential Equations 52%
13. Probability Measure 52%
14. Rate of Convergence 45%
15. Stochastic Ordinary Differential Equations 42%
16. Detailed Balance 41%
17. Langevin Equation 38%
18. Wasserstein Distance 38%
19. Multiplicative Noise 35%
20. Gradient Flow 35%
21. Additive Noise 34%
22. Nonseparable 34%
23. Gaussian distribution 33%
24. Invariant Manifolds 32%
25. Costs 32%
26. Fokker-Planck Equation 32%
27. Incentive Mechanism 31%
28. Quantify 30%
29. Poisson's equation 30%
30. Approximation 30%
31. Dissipation 29%
32. Stochastic Systems 29%
33. Fluctuations 28%
34. Time Scales 27%
35. Influence 26%
36. Cooperative Behavior 24%
37. Tensor 24%
38. Game 24%
39. Explicit Formula 24%
40. Evolution of Cooperation 23%
41. Gradient Method 22%
42. Critical Threshold 21%
43. Dilemma 20%
44. Small Perturbations 19%
45. Total Variation Distance 19%
46. Malliavin Calculus 18%
47. Long-run 17%
48. Numerical Investigation 17%
49. Reward 16%
50. Entropy 16%
51. Friction 15%
52. Phase Transition 15%
53. Movement 15%
54. Cost Function 14%
55. Uniqueness 14%
56. Differential System 13%
57. Estimate 13%
58. Monotonicity 12%
59. Limiting 12%
60. Interaction 10%
61. Asymptotic Behavior 10%
62. Characterization 10%
63. Design 9%
64. Standards 8%
65. Zero 7%
66. Class 5%