Introduction to Computational Models with Python

Introduction to Computational Models with Python

by Jose M. Garrido
Released August 2015
Publisher(s): Chapman and Hall/CRC
ISBN: 9781498712040

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Book description

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Contents (1/3)
  4. Contents (2/3)
  5. Contents (3/3)
  6. List Of Figures
  7. List Of Tables
  8. Preface
  9. Section 1 Problem Solving
    1. Chapter 1 Problem Solving And Computing (1/5)
    2. Chapter 1 Problem Solving And Computing (2/5)
    3. Chapter 1 Problem Solving And Computing (3/5)
    4. Chapter 1 Problem Solving And Computing (4/5)
    5. Chapter 1 Problem Solving And Computing (5/5)
    6. Chapter 2 Simple Python Programs (1/4)
    7. Chapter 2 Simple Python Programs (2/4)
    8. Chapter 2 Simple Python Programs (3/4)
    9. Chapter 2 Simple Python Programs (4/4)
  10. Section 2 Basic Programming Principles With Python
    1. Chapter 3 Modules And Functions (1/2)
    2. Chapter 3 Modules And Functions (2/2)
    3. Chapter 4 Program Structures (1/3)
    4. Chapter 4 Program Structures (2/3)
    5. Chapter 4 Program Structures (3/3)
    6. Chapter 5 The Selection Program Structure (1/3)
    7. Chapter 5 The Selection Program Structure (2/3)
    8. Chapter 5 The Selection Program Structure (3/3)
    9. Chapter 6 The Repetition Program Structure (1/4)
    10. Chapter 6 The Repetition Program Structure (2/4)
    11. Chapter 6 The Repetition Program Structure (3/4)
    12. Chapter 6 The Repetition Program Structure (4/4)
  11. Section 3 Data Structures, Object Orientation, And Recursion
    1. Chapter 7 Python Lists, Strings, And Other Data Sequences (1/6)
    2. Chapter 7 Python Lists, Strings, And Other Data Sequences (2/6)
    3. Chapter 7 Python Lists, Strings, And Other Data Sequences (3/6)
    4. Chapter 7 Python Lists, Strings, And Other Data Sequences (4/6)
    5. Chapter 7 Python Lists, Strings, And Other Data Sequences (5/6)
    6. Chapter 7 Python Lists, Strings, And Other Data Sequences (6/6)
    7. Chapter 8 Object Orientation (1/2)
    8. Chapter 8 Object Orientation (2/2)
    9. Chapter 9 Object- Oriented Programs (1/3)
    10. Chapter 9 Object- Oriented Programs (2/3)
    11. Chapter 9 Object- Oriented Programs (3/3)
    12. Chapter 10 Linked Lists (1/4)
    13. Chapter 10 Linked Lists (2/4)
    14. Chapter 10 Linked Lists (3/4)
    15. Chapter 10 Linked Lists (4/4)
    16. Chapter 11 Recursion (1/2)
    17. Chapter 11 Recursion (2/2)
  12. Section 4 Fundamental Computational Models With Python
    1. Chapter 12 Computational Models With Arithmetic Growth (1/3)
    2. Chapter 12 Computational Models With Arithmetic Growth (2/3)
    3. Chapter 12 Computational Models With Arithmetic Growth (3/3)
    4. Chapter 13 Computational Models With Quadratic Growth (1/3)
    5. Chapter 13 Computational Models With Quadratic Growth (2/3)
    6. Chapter 13 Computational Models With Quadratic Growth (3/3)
    7. Chapter 14 Models With Geometric Growth (1/2)
    8. Chapter 14 Models With Geometric Growth (2/2)
    9. Chapter 15 Computational Models With Polynomial Growth (1/2)
    10. Chapter 15 Computational Models With Polynomial Growth (2/2)
    11. Chapter 16 Empirical Models With Interpolation And Curve Fitting (1/4)
    12. Chapter 16 Empirical Models With Interpolation And Curve Fitting (2/4)
    13. Chapter 16 Empirical Models With Interpolation And Curve Fitting (3/4)
    14. Chapter 16 Empirical Models With Interpolation And Curve Fitting (4/4)
    15. Chapter 17 Using Arrays With Numpy (1/4)
    16. Chapter 17 Using Arrays With Numpy (2/4)
    17. Chapter 17 Using Arrays With Numpy (3/4)
    18. Chapter 17 Using Arrays With Numpy (4/4)
    19. Chapter 18 Models With Matrices And Linear Equations (1/6)
    20. Chapter 18 Models With Matrices And Linear Equations (2/6)
    21. Chapter 18 Models With Matrices And Linear Equations (3/6)
    22. Chapter 18 Models With Matrices And Linear Equations (4/6)
    23. Chapter 18 Models With Matrices And Linear Equations (5/6)
    24. Chapter 18 Models With Matrices And Linear Equations (6/6)
    25. Chapter 19 Introduction To Models Of Dynamical Systems (1/8)
    26. Chapter 19 Introduction To Models Of Dynamical Systems (2/8)
    27. Chapter 19 Introduction To Models Of Dynamical Systems (3/8)
    28. Chapter 19 Introduction To Models Of Dynamical Systems (4/8)
    29. Chapter 19 Introduction To Models Of Dynamical Systems (5/8)
    30. Chapter 19 Introduction To Models Of Dynamical Systems (6/8)
    31. Chapter 19 Introduction To Models Of Dynamical Systems (7/8)
    32. Chapter 19 Introduction To Models Of Dynamical Systems (8/8)
  13. Section 5 Linear Optimization Models
    1. Chapter 20 Linear Optimization Modeling (1/4)
    2. Chapter 20 Linear Optimization Modeling (2/4)
    3. Chapter 20 Linear Optimization Modeling (3/4)
    4. Chapter 20 Linear Optimization Modeling (4/4)
    5. Chapter 21 Solving Linear Optimization Models (1/4)
    6. Chapter 21 Solving Linear Optimization Models (2/4)
    7. Chapter 21 Solving Linear Optimization Models (3/4)
    8. Chapter 21 Solving Linear Optimization Models (4/4)
    9. Chapter 22 Sensitivity Analysis And Duality (1/3)
    10. Chapter 22 Sensitivity Analysis And Duality (2/3)
    11. Chapter 22 Sensitivity Analysis And Duality (3/3)
    12. Chapter 23 Transportation Models (1/8)
    13. Chapter 23 Transportation Models (2/8)
    14. Chapter 23 Transportation Models (3/8)
    15. Chapter 23 Transportation Models (4/8)
    16. Chapter 23 Transportation Models (5/8)
    17. Chapter 23 Transportation Models (6/8)
    18. Chapter 23 Transportation Models (7/8)
    19. Chapter 23 Transportation Models (8/8)
    20. Chapter 24 Network Models (1/7)
    21. Chapter 24 Network Models (2/7)
    22. Chapter 24 Network Models (3/7)
    23. Chapter 24 Network Models (4/7)
    24. Chapter 24 Network Models (5/7)
    25. Chapter 24 Network Models (6/7)
    26. Chapter 24 Network Models (7/7)
    27. Chapter 25 Integer Linear Optimization Models (1/4)
    28. Chapter 25 Integer Linear Optimization Models (2/4)
    29. Chapter 25 Integer Linear Optimization Models (3/4)
    30. Chapter 25 Integer Linear Optimization Models (4/4)
  14. Bibliography
  15. Back Cover

Product information

  • Title: Introduction to Computational Models with Python
  • Author(s): Jose M. Garrido
  • Release date: August 2015
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781498712040