@hackage / nonlinear-optimization

Various iterative algorithms for optimization of nonlinear functions.

Latest0.3.12.1

About

Metadata

  • Last updated , by FelipeLessa
  • License LicenseRef-GPL
  • Categories Mathematics

  • Maintained by: Felipe A. Lessa <felipe.lessa@gmail.com>

  • Lottery factor: 0

Links

Installation

Tested Compilers

  1. 9.12.2
  2. 9.12.1
  3. 9.10.3
  4. 9.10.2
  5. 9.10.1
  6. 9.8.4
  7. 9.8.3
  8. 9.8.2
  9. 9.8.1
  10. 9.6.7
  11. 9.6.6
  12. 9.6.5
  13. 9.6.4
  14. 9.6.3
  15. 9.6.2
  16. 9.6.1
  17. 9.4.8
  18. 9.4.7
  19. 9.4.6
  20. 9.4.5
  21. 9.4.4
  22. 9.4.3
  23. 9.4.2
  24. 9.4.1
  25. 9.2.8
  26. 9.2.7
  27. 9.2.6
  28. 9.2.5
  29. 9.2.4
  30. 9.2.3
  31. 9.2.2
  32. 9.2.1
  33. 9.0.2
  34. 9.0.1
  35. 8.10.7
  36. 8.10.6
  37. 8.10.5
  38. 8.10.4
  39. 8.10.3
  40. 8.10.2
  41. 8.10.1
  42. 8.8.4
  43. 8.8.3
  44. 8.8.2
  45. 8.8.1
  46. 8.6.5
  47. 8.6.4
  48. 8.6.3
  49. 8.6.2
  50. 8.6.1
  51. 8.4.4
  52. 8.4.3
  53. 8.4.2
  54. 8.4.1
  55. 8.2.2
  56. 8.0.2
  57. 7.10.3

Package Flags

Use the -f option with cabal commands to enable flags

    debug (off by default)

    Enable some debug statements.

Readme

This library implements numerical algorithms to optimize nonlinear functions. Optimization means that we try to find a minimum of the function. Currently all algorithms guarantee only that local minima will be found, not global ones.

Almost any continuosly differentiable function f : R^n -> R may be optimized by this library. Any further restrictions are listed in the modules that need them.

We use the vector package to represent vectors and matrices, although it would be possible to use something like hmatrix easily.

Currently only CG_DESCENT method is implemented.

If you want to use automatic differentiation to avoid hand-writing gradient functions, you can use nonlinear-optimization-ad package or nonlinear-optimization-backprop package.