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1. |
Record Nr. |
UNINA9910458790003321 |
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Titolo |
Muqarnas [[electronic resource] ] : an annual on the visual culture of the Islamic world . Volume 25 Frontiers of Islamic art and architecture: essays in celebration of Oleg Grabar's eightieth birthday / / edited by Gülru Necipoğlu, Julia Bailey |
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Pubbl/distr/stampa |
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ISBN |
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1-282-60257-8 |
9786612602573 |
90-474-2674-6 |
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Descrizione fisica |
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1 online resource (406 p.) |
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Collana |
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Altri autori (Persone) |
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NecipoğluGülru |
BaileyJulia <1944-> |
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Disciplina |
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Soggetti |
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Islamic art |
Islamic architecture |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"Sponsored by the Aga Khan Program for Islamic Architecture at Harvard University and the Massachusetts Institute of Technology, Cambridge, Massachusetts." |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Preliminary Materials / G. Necipoğlu -- “Barefoot And Naked”: What Did The Bedouin Of The Arab Conquests Look Like? / Patricia Crone -- The Namesake Taboo / Michael Cook -- The Dome Of The Rock As Palimpsest: ʿAbd Al-Malik’s Grand Narrative And Sultan Süleyman’s Glosses / Gülru Necipoğlu -- Between East And West: The Wall Paintings Of Samarra And The Construction Of Abbasid Princely Culture / Eva R. Hoffman -- Andalusian Roots And Abbasid Homage In The Qubbat Al-Barudiyyin In Marrakech / Yasser Tabbaa -- Design Without Representation In Medieval Egypt / Nasser Rabbat -- A Brief Biography Of Abu Zayd / Sheila S. Blair -- A Newly Read Inscription On The Walls Of Antalya, Turkey / Scott Redford -- Marginal Ornament: Poetics, Mimesis, And Devotion In The Palace Of The Lions / Cynthia Robinson -- Weaving Historical Narratives: Beirut’S Last Mamluk Monument / Howayda Al-Harithy -- The “Fatimid” Doors Of The Fakahani Mosque In |
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Cairo / Jonathan M. Bloom -- From Timur To Tivoli: Reflections On IL Giardino All’Italiana / Lisa Golombek -- The Emperor’s Grief: Two Mughal Tombs / Anthony Welch -- “The Eye Is Favored For Seeing The Writing’s Form”: On The Sensual And The Sensuous In Islamic Calligraphy / David J. Roxburgh -- A Book Of Kings Produced And Presented As A Treatise On Hunting / Tülay Artan -- The Soas Anvār-I Suhaylī:The Journey Of A “Reincarnated” Manuscript / Mika Natif -- Mostly Modern Miniatures: Classical Persian Painting In The Early Twentieth Century / Marianna Shreve Simpson. |
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Sommario/riassunto |
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Muqarnas is sponsored by The Aga Khan Program for Islamic Architecture at Harvard University and the Massachusetts Institute of Technology, Cambridge, Massachusetts. In Muqarnas articles are being published on all aspects of Islamic visual culture, historical and contemporary, as well as articles dealing with unpublished textual primary sources. |
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2. |
Record Nr. |
UNINA9910139133403321 |
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Autore |
Nash John C. <1947-> |
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Titolo |
Nonlinear parameter optimization using R tools / / John C. Nash |
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Pubbl/distr/stampa |
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Chichester, England : , : Wiley, , 2014 |
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©2014 |
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ISBN |
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1-118-88400-0 |
1-118-88396-9 |
1-118-88475-2 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (305 p.) |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Nonlinear theories |
R (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Cover; Title Page; Copyright; Contents; Preface; Chapter 1 Optimization |
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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 |
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Sommario/riassunto |
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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. |
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