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2. Some Recent Progress in Multiscale Modeling

7. Geometry of Curves

8. Comprehensive Grid Models

9. Inverted Equations

10. Numerical Implementation of Grid Generators

11. Multidimensional Geometry

12. Introductory Notions

13. General Coordinate Systems in Domains

14. General Remarks

15. Markovian Improvement Heuristics

16. Future Outlook of Optimization Business

17. Belief Propagation and Survey Propagation

18. The Constraint Satisfaction Problem

19. Random Local Iterative Search Heuristics

20. Construction Heuristics for CSP

21. Simulating Various Types of Government with Searching for Backbones

22. Application of Searching for Backbones to TSP

23. Tabu Search Applied to TSP

24. Application of History Algorithms to TSP

25. Weakening the Pure Markovian Approach

26. Simulated Trading Applied to TSP

27. Application of Genetic Algorithms to TSP

28. Further Techniques Changing the Energy Landscape of a TSP

29. Social Animal Algorithms Applied to TSP

30. Application of Neural Networks to TSP

31. Application of Search Space Smoothing to TSP

32. Application to TSP of Algorithms Related to Simulated Annealing

33. Dependencies of SA Results on Moves and Cooling Process

34. Application of Simulated Annealing to TSP

35. Ruin & Recreate Applied to TSP

36. Next Larger Moves Applied to TSP

37. Local Search Concepts Applied to TSP

38. Application of Construction Heuristics to TSP

39. Extensions of Traveling Salesman Problem

40. The Traveling Salesman Problem

41. Parallelization Strategies

42. Overview of Optimization Heuristics

43. Monte Carlo

44. Exact Optimization Algorithms for Complex Problems

45. Exact Optimization Algorithms for Simple Problems

46. Searching for Backbones

47. Tabu Search

48. Histogram Algorithms

49. Optimization Algorithms Inspired by Social Animals

50. Neural Networks

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