Modeling and Inverse Problems in the Presence of Uncertainty

Book description

Modeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification. It covers two sources of uncertainty: where uncertainty is present primarily due to measurement errors and where uncertainty is present due to the modeling formulation i

Table of contents

  1. Front Cover
  2. Contents (1/2)
  3. Contents (2/2)
  4. Preface
  5. Chapter 1: Introduction
  6. Chapter 2: Probability and Statistics Overview (1/10)
  7. Chapter 2: Probability and Statistics Overview (2/10)
  8. Chapter 2: Probability and Statistics Overview (3/10)
  9. Chapter 2: Probability and Statistics Overview (4/10)
  10. Chapter 2: Probability and Statistics Overview (5/10)
  11. Chapter 2: Probability and Statistics Overview (6/10)
  12. Chapter 2: Probability and Statistics Overview (7/10)
  13. Chapter 2: Probability and Statistics Overview (8/10)
  14. Chapter 2: Probability and Statistics Overview (9/10)
  15. Chapter 2: Probability and Statistics Overview (10/10)
  16. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (1/13)
  17. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (2/13)
  18. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (3/13)
  19. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (4/13)
  20. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (5/13)
  21. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (6/13)
  22. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (7/13)
  23. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (8/13)
  24. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (9/13)
  25. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (10/13)
  26. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (11/13)
  27. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (12/13)
  28. Chapter 3: Mathematical and Statistical Aspects of Inverse Problems (13/13)
  29. Chapter 4: Model Selection Criteria (1/8)
  30. Chapter 4: Model Selection Criteria (2/8)
  31. Chapter 4: Model Selection Criteria (3/8)
  32. Chapter 4: Model Selection Criteria (4/8)
  33. Chapter 4: Model Selection Criteria (5/8)
  34. Chapter 4: Model Selection Criteria (6/8)
  35. Chapter 4: Model Selection Criteria (7/8)
  36. Chapter 4: Model Selection Criteria (8/8)
  37. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (1/8)
  38. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (2/8)
  39. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (3/8)
  40. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (4/8)
  41. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (5/8)
  42. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (6/8)
  43. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (7/8)
  44. Chapter 5: Estimation of Probability Measures Using Aggregate Population Data (8/8)
  45. Chapter 6: Optimal Design (1/3)
  46. Chapter 6: Optimal Design (2/3)
  47. Chapter 6: Optimal Design (3/3)
  48. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (1/20)
  49. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (2/20)
  50. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (3/20)
  51. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (4/20)
  52. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (5/20)
  53. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (6/20)
  54. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (7/20)
  55. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (8/20)
  56. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (9/20)
  57. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (10/20)
  58. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (11/20)
  59. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (12/20)
  60. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (13/20)
  61. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (14/20)
  62. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (15/20)
  63. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (16/20)
  64. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (17/20)
  65. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (18/20)
  66. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (19/20)
  67. Chapter 7: Propagation of Uncertainty in a Continuous Time Dynamical System (20/20)
  68. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (1/15)
  69. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (2/15)
  70. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (3/15)
  71. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (4/15)
  72. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (5/15)
  73. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (6/15)
  74. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (7/15)
  75. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (8/15)
  76. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (9/15)
  77. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (10/15)
  78. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (11/15)
  79. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (12/15)
  80. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (13/15)
  81. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (14/15)
  82. Chapter 8: A Stochastic System and Its Corresponding Deterministic System (15/15)
  83. Frequently Used Notations and Abbreviations (1/2)
  84. Frequently Used Notations and Abbreviations (2/2)

Product information

  • Title: Modeling and Inverse Problems in the Presence of Uncertainty
  • Author(s): H. T. Banks, Shuhua Hu, W. Clayton Thompson
  • Release date: April 2014
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781482206432