Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.
Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB, to help researchers analyze a particular outcome. Many worked examples are given, together with exercises and solutions, to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science.
1. 1. An Introduction to MATLAB® 2. 2. Linear Equations and Eigensystems 3. 3. Solution of Nonlinear Equations 4. 4. Differentiation and Integration 5. 5. Solution of Differential Equations 6. 6. Boundary Value Problems 7. 7. Fitting Functions to Data 8. 8. Optimization Methods 9. 9. Applications of the Symbolic Toolbox 10. Appendices 11. A: Matrix Algebra 12. B: Error Analysis 13. Solutions to Selected Problems 14. Bibliography 15. Index
Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science across the board.
Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB, to help researchers analyze a particular outcome. Many worked examples are given, together with exercises and solutions, to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization, engineering and science.
1. 1. An Introduction to MATLAB® 2. 2. Linear Equations and Eigensystems 3. 3. Solution of Nonlinear Equations 4. 4. Differentiation and Integration 5. 5. Solution of Differential Equations 6. 6. Boundary Value Problems 7. 7. Fitting Functions to Data 8. 8. Optimization Methods 9. 9. Applications of the Symbolic Toolbox 10. Appendices 11. A: Matrix Algebra 12. B: Error Analysis 13. Solutions to Selected Problems 14. Bibliography 15. Index
