Chemical and Biomedical Engineering Calculations Using Python 1st Edition by Jeffrey Heys ISBN 1119267064 978-1119267065

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Product details:

ISBN 10: 1119267064
ISBN 13: 978-1119267065
Author: Jeffrey Heys

Presents standard numerical approaches for solving common mathematical problems in engineering using Python.

• Covers the most common numerical calculations used by engineering students
• Covers Numerical Differentiation and Integration, Initial Value Problems, Boundary Value Problems, and Partial Differential Equations
• Focuses on open ended, real world problems that require students to write a short report/memo as part of the solution process
• Includes an electronic download of the Python codes presented in the book

Chemical and Biomedical Engineering Calculations Using Python 1st Table of contents:

Chapter 1: Problem Solving in Engineering

1.1 Equation Identification and Categorization

Problems

Additional Resources

References

Chapter 2: Programming with Python®

2.1 Why Python?

2.2 Getting Python

2.3 Python Variables and Operators

2.4 External Libraries

Problems

Additional Resources

References

Chapter 3: Programming Basics

3.1 Comparators and Conditionals

3.2 Iterators and Loops

3.3 Functions

3.4 Debugging or Fixing Errors

3.5 Top 10+ Python Error Messages

Problems

Additional Resources

References

Chapter 4: External Libraries for Engineering

4.1 Numpy Library

4.2 Matplotlib Library

4.3 Application: Gillespie Algorithm

Problems

Additional Resources

References

Chapter 5: Symbolic Mathematics

5.1 Introduction

5.2 Symbolic Mathematics Packages

5.3 An Introduction to SymPy

5.4 Factoring and Expanding Functions

5.5 Derivatives and Integrals

5.6 Cryptography

Problems

References

Chapter 6: Linear Systems

6.1 Example Problem

6.2 A Direct Solution Method

6.3 Iterative Solution Methods

Problems

References

Chapter 7: Regression

7.1 Motivation

7.2 Fitting Vapor Pressure Data

7.3 Linear Regression

7.4 Nonlinear Regression

7.5 Multivariable Regression

Problems

References

Chapter 8: Nonlinear Equations

8.1 Introduction

8.2 Bisection Method

8.3 Newton’s Method

8.4 Broyden’s Method

8.5 Multiple Nonlinear Equations

Problems

Chapter 9: Statistics

9.1 Introduction

9.2 Reading Data from a File

9.3 Statistical Analysis

9.4 Advanced Linear Regression

9.5 U.S. Electrical Rates Example

Problems

References

Chapter 10: Numerical Differentiation and Integration

10.1 Introduction

10.2 Numerical Differentiation

10.3 Numerical Integration

Problems

Reference

Chapter 11: Initial Value Problems

11.1 Introduction

11.2 Biochemical Reactors

11.3 Forward Euler

11.4 Modified Euler Method

11.5 Systems of Equations

11.6 Stiff Differential Equations

Problems

References

Chapter 12: Boundary Value Problems

12.1 Introduction

12.2 Shooting Method

12.3 Finite Difference Method

Problems

Reference

Chapter 13: Partial Differential Equations

13.1 Finite Difference Method for Steady-State PDEs

13.2 Convection

13.3 Finite Difference Method for Transient PDEs

Problems

Reference

Chapter 14: Finite Element Method

14.1 A Warning

14.2 Why FEM?

14.3 Laplace’s Equation

14.4 Pattern Formation

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Tags: Jeffrey Heys, Biomedical Engineering, Using Python