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Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1118569288 ISBN 13: 9781118569283
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Hardcover. Zustand: 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.
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In den WarenkorbZustand: 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. . . . .
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In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1118569288 ISBN 13: 9781118569283
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In den WarenkorbHardcover. Zustand: 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.
Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1118569288 ISBN 13: 9781118569283
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Erstausgabe
Hardcover. Zustand: 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.