Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Nonlinear parameter optimization using R tools/ John C. Nash

By: Material type: TextTextPublication details: Chichester: John Wiley, 2014Description: xvi, 287 pages: dig.; 24.5 cmISBN:
  • 9781118569283
Subject(s): DDC classification:
  • 23rd 519.6 N248
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
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Books ISI Library, Kolkata 519.6 N248 (Browse shelf(Opens below)) Available Gifted by Prof. Ashis Kumar Chakraborty C27632
Total holds: 0

Includes 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

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.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in