nonlinear parameter optimization using de nash john (17 résultats)

Hardcover. Etat : Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : new.

Hardcover. Etat : new. Hardcover. Nonlinear Parameter Optimization Using RJohn C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R 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. 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 techniquesExamines optimization problems that arise in statistics and how to solve them using REnables researchers and practitioners to solve parameter determination problemsPresents traditional methods as well as recent developments in RIs 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. Nonlinear Parameter Optimization Using R John C. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : new.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 304.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

Etat : New. Nonlinear Parameter Optimization Using R John C. Num Pages: 304 pages, illustrations. BIC Classification: PBU; UFM. Category: (P) Professional & Vocational. Dimension: 158 x 230 x 20. Weight in Grams: 516. . 2014. 1st Edition. Hardcover. . . . .

Hardcover. Etat : Brand New. 304 pages. 9.30x6.30x0.90 inches. In Stock.

Etat : New. Nonlinear Parameter Optimization Using R John C. Num Pages: 304 pages, illustrations. BIC Classification: PBU; UFM. Category: (P) Professional & Vocational. Dimension: 158 x 230 x 20. Weight in Grams: 516. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Etat : new. Hardcover. Nonlinear Parameter Optimization Using RJohn C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R 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. 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 techniquesExamines optimization problems that arise in statistics and how to solve them using REnables researchers and practitioners to solve parameter determination problemsPresents traditional methods as well as recent developments in RIs 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. Nonlinear Parameter Optimization Using R John C. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. Nonlinear Parameter Optimization Using RJohn C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R 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. 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 techniquesExamines optimization problems that arise in statistics and how to solve them using REnables researchers and practitioners to solve parameter determination problemsPresents traditional methods as well as recent developments in RIs 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. Nonlinear Parameter Optimization Using R John C. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.