1.

Record Nr.

UNINA9910139133403321

Autore

Nash John C. <1947->

Titolo

Nonlinear parameter optimization using R tools / / John C. Nash

Pubbl/distr/stampa

Chichester, England : , : Wiley, , 2014

©2014

ISBN

1-118-88400-0

1-118-88396-9

1-118-88475-2

Edizione

[1st edition]

Descrizione fisica

1 online resource (305 p.)

Disciplina

519.60285/5133

Soggetti

Mathematical optimization

Nonlinear theories

R (Computer program language)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

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

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



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

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

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()

6.5 Some ancillary tools for nonlinear least squares

Sommario/riassunto

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.



2.

Record Nr.

UNINA9910779426903321

Autore

Farmer Frank <1951->

Titolo

After the public turn [[electronic resource] ] : composition, counterpublics, and the citizen bricoleur / / Frank Farmer

Pubbl/distr/stampa

Boulder, Colo., : Utah State University Press, 2013

ISBN

1-4571-8422-2

0-87421-914-0

1-299-19242-4

Descrizione fisica

1 online resource (198 p.)

Classificazione

LAN005000

Disciplina

303.48/4

Soggetti

Social movements

Dissenters

Individualism

Public interest

Civil society

Citizenship

Deliberative democracy

Political participation

English language - Composition and exercises - Social aspects

English language - Rhetoric - Study and teaching - Social aspects

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

pt. 1. Cultural publics -- pt. 2. Disciplinary publics.

Sommario/riassunto

"In After the Public Turn, author Frank Farmer argues that counterpublics and the people who make counterpublics--"citizen bricoleurs"--deserve a more prominent role in our scholarship and in our classrooms. Encouraging students to understand and consider resistant or oppositional discourse is a viable route toward mature participation as citizens in a democracy. Farmer examines two very different kinds of publics, cultural and disciplinary, and discusses two counterpublics within those broad categories: zine discourses and certain academic discourses. By juxtaposing these two significantly different kinds of publics, Farmer suggests that each discursive world



can be seen, in its own distinct way, as a counterpublic, an oppositional social formation that has a stake in widening or altering public life as we know it. Drawing on major figures in rhetoric and cultural theory, Farmer builds his argument about composition teaching and its relation to the public sphere, leading to a more sophisticated understanding of public life and a deeper sense of what democratic citizenship means for our time"--