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Nonlinear parameter optimization using R tools / John C. Nash.

By: Material type: TextTextPublication details: Chichester : John Wiley, c2014.Description: xvi, 287 p. : illustrations ; 24 cmISBN:
  • 9781118569283 (cloth)
Subject(s): DDC classification:
  • 000SA.055 23 N251
Contents:
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.
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.055 N251 (Browse shelf(Opens below)) Available 135950
Total holds: 0

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.

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.

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