Introduction to Computational Modeling Using C and Open-Source Tools

Introduction to Computational Modeling Using C and Open-Source Tools

by Jose M. Garrido
Released November 2013
Publisher(s): CRC Press
ISBN: 9781482216790

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Book description

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software library of C functions, and the versatile, open-source GnuPlot for visualizing the data. All source files, shell scripts, and additional notes are located at science.kennesaw.edu/~jgarrido/comp_models

The book first presents an overview of problem solving and the introductory concepts, principles, and development of computational models before covering the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such as polynomial evaluation, regression, and other numerical methods, to implement computational models. He also discusses more advanced concepts needed for modeling dynamical systems and explains how to generate numerical solutions. The book concludes with the modeling of linear optimization problems.

Emphasizing analytical skill development and problem solving, this book helps you understand how to reason about and conceptualize the problems, generate mathematical formulations, and computationally visualize and solve the problems. It provides you with the foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high-performance computing.

Table of contents

  1. Front Cover
  2. Contents (1/3)
  3. Contents (2/3)
  4. Contents (3/3)
  5. List of Figures
  6. List of Tables
  7. Preface
  8. About the Author
  9. Chapter 1: Problem Solving and Computing (1/4)
  10. Chapter 1: Problem Solving and Computing (2/4)
  11. Chapter 1: Problem Solving and Computing (3/4)
  12. Chapter 1: Problem Solving and Computing (4/4)
  13. Chapter 2: Programs (1/3)
  14. Chapter 2: Programs (2/3)
  15. Chapter 2: Programs (3/3)
  16. Chapter 3: Modular Decomposition: Functions (1/3)
  17. Chapter 3: Modular Decomposition: Functions (2/3)
  18. Chapter 3: Modular Decomposition: Functions (3/3)
  19. Chapter 4: More Concepts of Computational Models (1/4)
  20. Chapter 4: More Concepts of Computational Models (2/4)
  21. Chapter 4: More Concepts of Computational Models (3/4)
  22. Chapter 4: More Concepts of Computational Models (4/4)
  23. Chapter 5: Algorithms and Programs (1/3)
  24. Chapter 5: Algorithms and Programs (2/3)
  25. Chapter 5: Algorithms and Programs (3/3)
  26. Chapter 6: Selection (1/3)
  27. Chapter 6: Selection (2/3)
  28. Chapter 6: Selection (3/3)
  29. Chapter 7: Repetition (1/3)
  30. Chapter 7: Repetition (2/3)
  31. Chapter 7: Repetition (3/3)
  32. Chapter 8: Arrays (1/4)
  33. Chapter 8: Arrays (2/4)
  34. Chapter 8: Arrays (3/4)
  35. Chapter 8: Arrays (4/4)
  36. Chapter 9: Pointers (1/3)
  37. Chapter 9: Pointers (2/3)
  38. Chapter 9: Pointers (3/3)
  39. Chapter 10: Linked Lists (1/5)
  40. Chapter 10: Linked Lists (2/5)
  41. Chapter 10: Linked Lists (3/5)
  42. Chapter 10: Linked Lists (4/5)
  43. Chapter 10: Linked Lists (5/5)
  44. Chapter 11: Text Data (1/2)
  45. Chapter 11: Text Data (2/2)
  46. Chapter 12: Computational Models with Arithmetic Growth (1/2)
  47. Chapter 12: Computational Models with Arithmetic Growth (2/2)
  48. Chapter 13: Computational Models with Quadratic Growth (1/3)
  49. Chapter 13: Computational Models with Quadratic Growth (2/3)
  50. Chapter 13: Computational Models with Quadratic Growth (3/3)
  51. Chapter 14: Models with Geometric Growth (1/2)
  52. Chapter 14: Models with Geometric Growth (2/2)
  53. Chapter 15: Computational Models with Polynomials (1/2)
  54. Chapter 15: Computational Models with Polynomials (2/2)
  55. Chapter 16: Models with Interpolation and Curve Fitting (1/4)
  56. Chapter 16: Models with Interpolation and Curve Fitting (2/4)
  57. Chapter 16: Models with Interpolation and Curve Fitting (3/4)
  58. Chapter 16: Models with Interpolation and Curve Fitting (4/4)
  59. Chapter 17: Using Vectors with the GSL (1/4)
  60. Chapter 17: Using Vectors with the GSL (2/4)
  61. Chapter 17: Using Vectors with the GSL (3/4)
  62. Chapter 17: Using Vectors with the GSL (4/4)
  63. Chapter 18: Matrices and Sets of Linear Equations (1/6)
  64. Chapter 18: Matrices and Sets of Linear Equations (2/6)
  65. Chapter 18: Matrices and Sets of Linear Equations (3/6)
  66. Chapter 18: Matrices and Sets of Linear Equations (4/6)
  67. Chapter 18: Matrices and Sets of Linear Equations (5/6)
  68. Chapter 18: Matrices and Sets of Linear Equations (6/6)
  69. Chapter 19: Introduction to Dynamical Systems (1/7)
  70. Chapter 19: Introduction to Dynamical Systems (2/7)
  71. Chapter 19: Introduction to Dynamical Systems (3/7)
  72. Chapter 19: Introduction to Dynamical Systems (4/7)
  73. Chapter 19: Introduction to Dynamical Systems (5/7)
  74. Chapter 19: Introduction to Dynamical Systems (6/7)
  75. Chapter 19: Introduction to Dynamical Systems (7/7)
  76. Chapter 20: Linear Optimization Modeling (1/2)
  77. Chapter 20: Linear Optimization Modeling (2/2)
  78. Chapter 21: Solving Linear Optimization Problems (1/4)
  79. Chapter 21: Solving Linear Optimization Problems (2/4)
  80. Chapter 21: Solving Linear Optimization Problems (3/4)
  81. Chapter 21: Solving Linear Optimization Problems (4/4)
  82. Chapter 22: Sensitivity Analysis and Duality (1/5)
  83. Chapter 22: Sensitivity Analysis and Duality (2/5)
  84. Chapter 22: Sensitivity Analysis and Duality (3/5)
  85. Chapter 22: Sensitivity Analysis and Duality (4/5)
  86. Chapter 22: Sensitivity Analysis and Duality (5/5)
  87. Chapter 23: Transportation Models (1/4)
  88. Chapter 23: Transportation Models (2/4)
  89. Chapter 23: Transportation Models (3/4)
  90. Chapter 23: Transportation Models (4/4)
  91. Chapter 24: Network Models (1/4)
  92. Chapter 24: Network Models (2/4)
  93. Chapter 24: Network Models (3/4)
  94. Chapter 24: Network Models (4/4)
  95. Chapter 25: Integer Linear Optimization Models (1/3)
  96. Chapter 25: Integer Linear Optimization Models (2/3)
  97. Chapter 25: Integer Linear Optimization Models (3/3)
  98. Appendix A: GNU C Compiler Tool (1/3)
  99. Appendix A: GNU C Compiler Tool (2/3)
  100. Appendix A: GNU C Compiler Tool (3/3)
  101. Appendix B: Introduction to Linux (1/6)
  102. Appendix B: Introduction to Linux (2/6)
  103. Appendix B: Introduction to Linux (3/6)
  104. Appendix B: Introduction to Linux (4/6)
  105. Appendix B: Introduction to Linux (5/6)
  106. Appendix B: Introduction to Linux (6/6)
  107. Bibliography

Product information

  • Title: Introduction to Computational Modeling Using C and Open-Source Tools
  • Author(s): Jose M. Garrido
  • Release date: November 2013
  • Publisher(s): CRC Press
  • ISBN: 9781482216790