Nonlinear Parameter Optimization Using RJohn C. Nash, Telfer
School of Management, University of Ottawa, Canada
A systematic and comprehensive treatment of optimization
software using RIn recent decades, optimization techniques have
been streamlined by computational and artificial intelligence
methods to analyze more variables, especially under non-linear,
multivariable conditions, more quickly than ever
before.Optimization is an important tool for decision science and
for the analysis of physical systems used in engineering. Nonlinear
Parameter Optimization with R explores the principal tools
available in R for function minimization, optimization, and
nonlinear parameter determination and features numerous examples
throughout.
Nonlinear Parameter Optimization with R: - Provides a
comprehensive treatment of optimization techniques- Examines
optimization problems that arise in statistics and how to solve
them using R- Enables researchers and practitioners to solve
parameter determination problems- Presents traditional methods as
well as recent developments in R- Is supported by an accompanying
website featuring R code, examples and datasets
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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