TY  - BOOK
AU  - Nash,John C.
TI  - Nonlinear parameter optimization using R tools
SN  - 9781118569283 (cloth)
U1  - 000SA.055 23
PY  - 2014///
CY  - Chichester
PB  - John Wiley, 
KW  - Mathematical optimization
KW  - Nonlinear theories
KW  - R (Computer program language)
N1  - Includes bibliographical references and index; 1. Optimization problem tasks and how they arise--
2. Optimization algorithms-an overview--
3. Software structure and interfaces--
4. One-parameter root-finding problems--
5. One-parameter minimization problems--
6. Nonlinear least squares--
7. Nonlinear equations--
8. Function minimization tools in the base R system--
9. Add-in function minimization packages for R--
10. Calculating and using derivatives--
11. Bounds constraints--
12. Using masks--
13. Handling general constraints--
14. Applications of mathematical programming--
15. Global optimization and stochastic methods--
16. Scaling and parametrization--
17. Finding the right solution--
18. Tuning and terminating methods--
19. Linking R to external optimization tools--
20. Differential equation models--
21. Miscellaneous nonlinear estimation tools for R--
Appendix A: R packages used in examples--
Index
N2  - Researchers and practitioners who have to solve parameter determination problems who are users of  R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco–kinetics, agriculture, economics and statistics

ER  -