Numerical and statistical methods for bioengineering: applications in MATLAB
Cambridge; New York
Cambridge University Press
c2011
xii, 581 p. : ill
Cambridge texts in biomedical engineering
Includes bibliographical references and index
Michael R. King, Nipa A. Mody
Machine generated contents note: 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