Numerical and statistical methods for bioengineering : applications in MATLAB
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Bibliographic Information
Numerical and statistical methods for bioengineering : applications in MATLAB
（Cambridge texts in biomedical engineering）
Cambridge University Press, 2011
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Includes bibliographical references and indexes
Description and Table of Contents
Description
The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.
Table of Contents
- 1. Types and sources of numerical error
- 2. Systems of linear equations
- 3. Statistics and probability
- 4. Hypothesis testing
- 5. Root finding techniques for nonlinear equations
- 6. Numerical quadrature
- 7. Numerical integration of ordinary differential equations
- 8. Nonlinear data regression and optimization
- 9. Basic algorithms of bioinformatics
- Appendix A. Introduction to MATLAB
- Appendix B. Location of nodes for Gauss-Legendre quadrature.
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