Cargando…
Nonlinear parameter optimization using R tools /
The aim of this book is to provide an appreciation of the R tools available for optimization problems. Most users of R are not specialists in computation and the workings of the specialized tools are a black box. This can lead to mis-application, therefore users need help in making appropriate choic...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, United Kingdom :
John Wiley & Sons, Inc.,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_ocn867284265 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 140102s2014 enk ob 001 0 eng | ||
| 010 | |a 2014000044 | ||
| 040 | |a DLC |b eng |e rda |e pn |c DLC |d YDX |d N$T |d IDEBK |d DG1 |d YDXCP |d E7B |d RECBK |d OCLCF |d UMI |d DEBBG |d DEBSZ |d COO |d OCLCO |d EBLCP |d VT2 |d OCLCQ |d COCUF |d DG1 |d MOR |d LIP |d PIFBY |d ZCU |d MERUC |d OCLCQ |d U3W |d OCLCQ |d STF |d CEF |d ICG |d INT |d OCLCQ |d TKN |d OCLCQ |d UAB |d DKC |d OCLCQ |d UKAHL |d OCLCQ |d TUHNV |d OCLCO |d OCLCQ | ||
| 019 | |a 876512855 |a 892421117 |a 894730510 |a 898039578 |a 908035545 |a 961620114 |a 962636324 |a 992878269 |a 1148084221 | ||
| 020 | |a 9781118883969 |q (ePub) | ||
| 020 | |a 1118883969 |q (ePub) | ||
| 020 | |a 9781118884751 |q (Adobe PDF) | ||
| 020 | |a 1118884752 |q (Adobe PDF) | ||
| 020 | |a 9781118884003 |q (electronic bk.) | ||
| 020 | |a 1118884000 |q (electronic bk.) | ||
| 020 | |a 1118569288 | ||
| 020 | |a 9781118569283 | ||
| 020 | |a 130663878X | ||
| 020 | |a 9781306638784 | ||
| 020 | |z 9781118569283 |q (cloth) | ||
| 029 | 1 | |a AU@ |b 000052357997 | |
| 029 | 1 | |a AU@ |b 000052922820 | |
| 029 | 1 | |a CHNEW |b 000942679 | |
| 029 | 1 | |a CHVBK |b 480229724 | |
| 029 | 1 | |a DEBBG |b BV042182747 | |
| 029 | 1 | |a DEBBG |b BV043396454 | |
| 029 | 1 | |a DEBBG |b BV043608721 | |
| 029 | 1 | |a DEBSZ |b 405713622 | |
| 029 | 1 | |a DEBSZ |b 415407230 | |
| 029 | 1 | |a DEBSZ |b 417234341 | |
| 029 | 1 | |a DEBSZ |b 423170953 | |
| 029 | 1 | |a DKDLA |b 820120-katalog:999939135205765 | |
| 035 | |a (OCoLC)867284265 |z (OCoLC)876512855 |z (OCoLC)892421117 |z (OCoLC)894730510 |z (OCoLC)898039578 |z (OCoLC)908035545 |z (OCoLC)961620114 |z (OCoLC)962636324 |z (OCoLC)992878269 |z (OCoLC)1148084221 | ||
| 037 | |a CL0500000487 |b Safari Books Online | ||
| 042 | |a pcc | ||
| 050 | 0 | 0 | |a QA402.5 |
| 072 | 7 | |a MAT |x 003000 |2 bisacsh | |
| 072 | 7 | |a MAT |x 029000 |2 bisacsh | |
| 082 | 0 | 0 | |a 519.60285/5133 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Nash, John C., |d 1947- | |
| 245 | 1 | 0 | |a Nonlinear parameter optimization using R tools / |c John C. Nash, Telfer School of Management, University of Ottawa. |
| 264 | 1 | |a Chichester, West Sussex, United Kingdom : |b John Wiley & Sons, Inc., |c 2014. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 505 | 0 | |a Cover; Title Page; Copyright; Contents; Preface; Chapter 1 Optimization problem tasks and how they arise; 1.1 The general optimization problem; 1.2 Why the general problem is generally uninteresting; 1.3 (Non- )Linearity; 1.4 Objective function properties; 1.4.1 Sums of squares; 1.4.2 Minimax approximation; 1.4.3 Problems with multiple minima; 1.4.4 Objectives that can only be imprecisely computed; 1.5 Constraint types; 1.6 Solving sets of equations; 1.7 Conditions for optimality; 1.8 Other classifications; References; Chapter 2 Optimization algorithms-an overview. | |
| 505 | 8 | |a 2.1 Methods that use the gradient2.2 Newton-like methods; 2.3 The promise of Newton's method; 2.4 Caution: convergence versus termination; 2.5 Difficulties with Newton's method; 2.6 Least squares: Gauss-Newton methods; 2.7 Quasi-Newton or variable metric method; 2.8 Conjugate gradient and related methods; 2.9 Other gradient methods; 2.10 Derivative-free methods; 2.10.1 Numerical approximation of gradients; 2.10.2 Approximate and descend; 2.10.3 Heuristic search; 2.11 Stochastic methods; 2.12 Constraint-based methods-mathematical programming; References. | |
| 505 | 8 | |a Chapter 3 Software structure and interfaces3.1 Perspective; 3.2 Issues of choice; 3.3 Software issues; 3.4 Specifying the objective and constraints to the optimizer; 3.5 Communicating exogenous data to problem definition functions; 3.5.1 Use of ""global'' data and variables; 3.6 Masked (temporarily fixed) optimization parameters; 3.7 Dealing with inadmissible results; 3.8 Providing derivatives for functions; 3.9 Derivative approximations when there are constraints; 3.10 Scaling of parameters and function; 3.11 Normal ending of computations; 3.12 Termination tests-abnormal ending. | |
| 505 | 8 | |a 3.13 Output to monitor progress of calculations3.14 Output of the optimization results; 3.15 Controls for the optimizer; 3.16 Default control settings; 3.17 Measuring performance; 3.18 The optimization interface; References; Chapter 4 One-parameter root-finding problems; 4.1 Roots; 4.2 Equations in one variable; 4.3 Some examples; 4.3.1 Exponentially speaking; 4.3.2 A normal concern; 4.3.3 Little Polly Nomial; 4.3.4 A hypothequial question; 4.4 Approaches to solving 1D root-finding problems; 4.5 What can go wrong?; 4.6 Being a smart user of root-finding programs. | |
| 505 | 8 | |a 4.7 Conclusions and extensionsReferences; Chapter 5 One-parameter minimization problems; 5.1 The optimize() function; 5.2 Using a root-finder; 5.3 But where is the minimum?; 5.4 Ideas for 1D minimizers; 5.5 The line-search subproblem; References; Chapter 6 Nonlinear least squares; 6.1 nls() from package stats; 6.1.1 A simple example; 6.1.2 Regression versus least squares; 6.2 A more difficult case; 6.3 The structure of the nls() solution; 6.4 Concerns with nls(); 6.4.1 Small residuals; 6.4.2 Robustness-""singular gradient'' woes; 6.4.3 Bounds with nls(). | |
| 520 | |a The aim of this book is to provide an appreciation of the R tools available for optimization problems. Most users of R are not specialists in computation and the workings of the specialized tools are a black box. This can lead to mis-application, therefore users need help in making appropriate choices. This book looks at the principal tools available for users of the R statistical computing system for function minimization, optimization, and nonlinear parameter determination, featuring numerous examples throughout. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Nonlinear theories. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Optimisation mathématique. | |
| 650 | 6 | |a Théories non linéaires. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Mathematical optimization. |2 fast |0 (OCoLC)fst01012099 | |
| 650 | 7 | |a Nonlinear theories. |2 fast |0 (OCoLC)fst01038812 | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 776 | 0 | 8 | |i Print version: |a Nash, John C., 1947- |t Nonlinear parameter optimization using R tools. |d Chichester, West Sussex : John Wiley & Sons, Inc., 2014 |z 9781118569283 |w (DLC) 2013051141 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781118883969/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH26312211 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH26312357 | ||
| 938 | |a EBL - Ebook Library |b EBLB |n EBL1666497 | ||
| 938 | |a ebrary |b EBRY |n ebr10860972 | ||
| 938 | |a EBSCOhost |b EBSC |n 755939 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis28112393 | ||
| 938 | |a Recorded Books, LLC |b RECE |n rbeEB00316121 | ||
| 938 | |a YBP Library Services |b YANK |n 11419721 | ||
| 938 | |a YBP Library Services |b YANK |n 11765732 | ||
| 938 | |a YBP Library Services |b YANK |n 11784634 | ||
| 994 | |a 92 |b IZTAP | ||