Nash, John C. Nonlinear parameter optimization using R tools. (English) Zbl 1311.90001 Hoboken, NJ: John Wiley & Sons (ISBN 978-1-118-56928-3/hbk; 978-1-118-88400-3/ebook). xvi, 287 p. (2014). On the cover you can read: “Optimization is an important tool for decision science and for the analysis of physical systems used in engineering.” The book “explores the principal tools available in \(\mathbb{R}\) for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. – In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under nonlinear, multivariable conditions, more quickly than ever before.” The book “provides a comprehensive treatment of optimization techniques, examines optimization problems that arise in statistics and how to solve using \(\mathbb{R}\), enables researchers and practitioners to solve parameter determination problems, presents traditional methods as well as recent developments in \(\mathbb{R}\), is supported by an accompanying website featuring \(\mathbb{R}\) code, examples, and datasets: www.wiley.com/go/nonlinear parameter. Researchers and practitioners who have to solve parameter determination problems who are users of \(\mathbb{R}\) 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, pharmacokinetics, agriculture, economics, ans statistics.” The book is divided in 21 chapters, where every chapter ends with references. The appendix collected 48 \(\mathbb{R}\) packages used in the examples in this book. Finally the book finished with a detailed index. Read the book and you will not be disappointed. Reviewer: Ludwig Paditz (Dresden) Cited in 1 ReviewCited in 3 Documents MSC: 90-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming 90C30 Nonlinear programming 90-08 Computational methods for problems pertaining to operations research and mathematical programming 68N15 Theory of programming languages Keywords:computer language \(\mathbb{R}\); nonlinear parameter optimization; mathematical optimization; nonlinear programming; optimization algorithms Software:CG_DESCENT; R; Maxlik; SOMA; alabama; BB; gnm; DEoptim; NISTnls; quantreg; stats; reportr; optimx; nloptwrap; Rsolnp; rbenchmark; deSolve; microbenchmark; nloptr; optextras; nnls; Rvmmin; numDeriv; Rmalschains; setRNG; gaoptim; trust; MASS (R); stats4; adagio; GA; smco; RcppDE; Rmpfr; pander; Rcgmin; grofit; linprog; expm; polynom; pracma; minpack.lm; nls2; nleqslv; nlmrt; bbmle PDFBibTeX XMLCite \textit{J. C. Nash}, Nonlinear parameter optimization using R tools. Hoboken, NJ: John Wiley \& Sons (2014; Zbl 1311.90001) Full Text: DOI