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[null,"1.","Record Nr.",null,"UNINA990007660800403321"]
[null,null,"Autore",null,"Amorth, Giorgio"]
[null,null,"Titolo",null,"Errore e inadempimento nel contratto / Giorgio Amorth"]
[null,null,"Pubbl/distr/stampa",null,"Milano : Giuffrè, 1967"]
[null,null,"Descrizione fisica",null,"VIII, 158 p. ; 25 cm"]
[null,null,"Collana",null,"Studi di diritto privato / Università degli studi di Milano, Facoltà di giurisprudenza ; 22"]
[null,null,"Disciplina",null,"346.02"]
[null,null,"Locazione",null,"DDCP"]
[{"$nulls":4},"DDRC"]
[{"$nulls":4},"FSPBC"]
[{"$nulls":4},"FGBC"]
[null,null,"Collocazione",null,"16-AA-251"]
[{"$nulls":4},"16-AA-240"]
[{"$nulls":4},"A-IV-C-9"]
[{"$nulls":4},"UNIV. 95 (22)"]
[{"$nulls":4},"UNIV. 71 (22)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910458846703321"]
[null,null,"Autore",null,"Lott Steven F."]
[null,null,"Titolo",null,"Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications / / Steven F. Lott ; cover image by Duraid Fatouhi"]
[null,null,"Pubbl/distr/stampa",null,"Birmingham, [England] : , : Packt Publishing, , 2014"]
[{"$nulls":4},"©2014"]
[null,null,"ISBN",null,"1-78328-098-0"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (634 p.)"]
[null,null,"Collana",null,"Community Experience Distilled"]
[null,null,"Disciplina",null,"005.133"]
[null,null,"Soggetti",null,"Python (Computer program language)"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Some Preliminaries; About casino Blackjack; Playing the game; Blackjack player strategies; Object design for simulating Blackjack; Performance - the time it module; Testing - unittest and doctest; Unit testing and technology spikes; Docstrings - RST markup and documentation tools; The IDE question; About special method names; Summary; Part 1: Pythonic Classes via Special Methods; Chapter 1: The __init__() Method; The implicit superclass - object"]
[{"$nulls":4},"The base class object __init__() method Implementing __init__() in a super class; Using __init__() to create manifest constants; Leveraging __init__() via a factory function; Faulty factory design and the vague else clause; Simplicity and consistency using elif sequences; Simplicity using mapping and class objects; Two parallel mappings; Mapping to a tuple of values; The partial function solution; Fluent APIs for factories; Implementing __init__() in each subclass; Simple composite objects; Wrapping a collection class; Extending a collection class; More requirements and another design"]
[{"$nulls":4},"Complex composite objects Complete composite object initialization; Stateless objects without __init__(); Some additional class definitions; Multi-strategy __init__(); More complex initialization alternatives; Initializing static methods; Yet more __init__() techniques; Initialization with type validation; Initialization, encapsulation, and privacy; "]
[{"$nulls":4},"Summary; Chapter 2: Integrating Seamlessly with Python - Basic Special Methods; The __repr__() and __str__() methods; Non collection __str__() and __repr__(); Collection __str__() and __repr__(); The __format__() method"]
[{"$nulls":4},"Nested formatting specifications Collections and delegating format specifications; The __hash__() method; Deciding what to hash; Inheriting definitions for immutable objects; Overriding definitions for immutable objects; Overriding definitions for mutable objects; Making a frozen hand from a mutable hand; The __bool__() method; The __bytes__() method; The comparison operator methods; Designing comparisons; Implementation of comparison for objects of the same class; Implementation of comparison for objects of mixed classes; Hard totals, soft totals, and polymorphism"]
[{"$nulls":4},"A mixed class comparison example The __del__() method; The reference count and destruction; Circular references and garbage collection; Circular references and the weak ref module; The __del__() and close() methods; The __new__() method and immutable objects; The __new__() method and metaclasses; Metaclass example 1 - ordered attributes; Metaclass example 2 - self-reference; Summary; Chapter 3: Attribute Access, Properties, and Descriptors; Basic attribute processing; Attributes and the __init__() method; Creating properties; Eagerly computed properties; Setter and deleter properties"]
[{"$nulls":4},"Using special methods for attribute access"]
[null,null,null,"Sommario/riassunto","This book follows a standard tutorial approach with approximately 750 code samples spread through the 19 chapters. This amounts to over 5,900 lines of code that illustrate each concept.This book is aimed at programmers who have already learned the basics of object-oriented Python and need to write more sophisticated, flexible code that integrates seamlessly with the rest of Python. This book assumes a computer science background, with experience of common Python design patterns."]
[null,"3.","Record Nr.",null,"UNINA9910973050003321"]
[null,null,"Autore",null,"Rustem Berc"]
[null,null,"Titolo",null,"Algorithms for worst-case design and applications to risk management / / Berc Rustem, Melendres Howe"]
[null,null,"Pubbl/distr/stampa",null,"Princeton, N.J. ; ; Oxford, : Princeton University Press, 2002"]
[null,null,"ISBN",null,"9786612157196"]
[{"$nulls":4},"9781680158960"]
[{"$nulls":4},"1680158961"]
[{"$nulls":4},"9781282157194"]
[{"$nulls":4},"1282157191"]
[{"$nulls":4},"9781400825110"]
[{"$nulls":4},"1400825113"]
[{"$nulls":4},"9781400814602"]
[{"$nulls":4},"140081460X"]
[null,null,"Edizione",null,"[Course Book]"]
[null,null,"Descrizione fisica",null,"1 online resource (405 p.)"]
[null,null,"Disciplina",null,"511.8"]
[null,null,"Soggetti",null,"Risk management - Mathematical models"]
[{"$nulls":4},"Risk - Mathematical models"]
[{"$nulls":4},"Decision making - Mathematical models"]
[{"$nulls":4},"Algorithms"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Front matter -- Contents -- Preface -- Chapter 1. Introduction to Minimax -- Chapter 2. A Survey Of Continuous Minimax Algorithms -- Chapter 3. Algorithms For Computing Saddle Points -- Chapter 4. A Quasi-Newton Algorithm For Continuous Minimax -- Chapter 5. Numerical Experiments With Continuous Minimax Algorithms -- Chapter 6 Minimax As A Robust Strategy For Discrete Rival Scenarios -- Chapter 7 Discrete Minimax Algorithm For Equality And Inequality Constrained Models -- Chapter 8. A Continuous Minimax Strategy For Options Hedging -- Chapter 9. Minimax and Asset Allocation Problems -- Chapter 10. Asset/Liability Management Under Uncertainty -- Chapter 11 Robust Currency Management -- Index"]
[null,null,null,"Sommario/riassunto","Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is "]
[{"$nulls":4},"minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making. Critically, worst-case design addresses not only Armageddon-type uncertainty. Indeed, the determination of the worst case becomes nontrivial when faced with numerous--possibly infinite--and reasonably likely rival scenarios. Optimality does not depend on any single scenario but on all the scenarios under consideration. Worst-case optimal decisions provide guaranteed optimal performance for systems operating within the specified scenario range indicating the uncertainty. The noninferiority of minimax solutions--which also offer the possibility of multiple maxima--ensures this optimality. Worst-case design is not intended to necessarily replace expected value optimization when the underlying uncertainty is stochastic. However, wise decision making requires the justification of policies based on expected value optimization in view of the worst-case scenario. Conversely, the cost of the assured performance provided by robust worst-case decision making needs to be evaluated relative to optimal expected values. Written for postgraduate students and researchers engaged in optimization, engineering design, economics, and finance, this book will also be invaluable to practitioners in risk management."]