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1. |
Record Nr. |
UNINA9910463869403321 |
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Autore |
Quirk Joel |
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Titolo |
The anti-slavery project [[electronic resource] ] : from the slave trade to human trafficking / / Joel Quirk |
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Pubbl/distr/stampa |
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Philadelphia, : University of Pennsylvania Press, c2011 |
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ISBN |
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1-283-89668-0 |
0-8122-0564-2 |
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Descrizione fisica |
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1 online resource (341 p.) |
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Collana |
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Pennsylvania Studies in Human Rights |
Pennsylvania studies in human rights |
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Disciplina |
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Soggetti |
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Antislavery movements - History |
Abolitionists - Great Britain - History |
Slavery |
Peonage |
Human trafficking |
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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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pt. 1. The British Empire and the legal abolition of slavery -- pt. 2. Linking the historical and contemporary -- pt. 3. Contemporary forms of slavery. |
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Sommario/riassunto |
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It is commonly assumed that slavery came to an end in the nineteenth century. While slavery in the Americas officially ended in 1888, millions of slaves remained in bondage across Africa, Asia, and the Middle East well into the first half of the twentieth century. Wherever laws against slavery were introduced, governments found ways of continuing similar forms of coercion and exploitation, such as forced, bonded, and indentured labor. Every country in the world has now abolished slavery, yet millions of people continue to find themselves subject to contemporary forms of slavery, such as human trafficking, wartime enslavement, and the worst forms of child labor. The Anti-Slavery Project: From the Slave Trade to Human Trafficking offers an innovative study in the attempt to understand and eradicate these ongoing human rights abuses.In The Anti-Slavery Project, historian and human rights |
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expert Joel Quirk examines the evolution of political opposition to slavery from the mid-eighteenth century to the present day. Beginning with the abolitionist movement in the British Empire, Quirk analyzes the philosophical, economic, and cultural shifts that eventually resulted in the legal abolition of slavery. By viewing the legal abolition of slavery as a cautious first step-rather than the end of the story-he demonstrates that modern anti-slavery activism can be best understood as the latest phase in an evolving response to the historical shortcomings of earlier forms of political activism.By exposing the historical and cultural roots of contemporary slavery, The Anti-Slavery Project presents an original diagnosis of the underlying causes driving one of the most pressing human rights problems in the world today. It offers valuable insights for historians, political scientists, policy makers, and activists seeking to combat slavery in all its forms. |
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2. |
Record Nr. |
UNINA9910143138003321 |
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Autore |
Kalos Malvin H |
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Titolo |
Monte Carlo methods [[electronic resource] /] / Malvin H. Kalos, Paula A. Whitlock |
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Pubbl/distr/stampa |
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Weinheim, : Wiley-Blackwell, c2008 |
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ISBN |
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1-62198-230-0 |
1-282-68811-1 |
9786612688119 |
3-527-62621-2 |
3-527-62622-0 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (217 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Monte Carlo method |
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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Previous ed.: New York; Chichester: Wiley 1986. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Monte Carlo Methods; Contents; Preface to the Second Edition; Preface to the First Edition; 1 What is Monte Carlo?; 1.1 Introduction; 1.2 Topics |
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to be Covered; 1.3 A Short History of Monte Carlo; References; 2 A Bit of Probability; 2.1 Random Events; 2.2 Random Variables; 2.2.1 The Binomial Distribution; 2.2.2 The Geometric Distribution; 2.2.3 The Poisson Distribution; 2.3 Continuous Random Variables; 2.4 Expectations of Continuous Random Variables; 2.5 Bivariate Continuous Random Distributions; 2.6 Sums of Random Variables: Monte Carlo Quadrature |
2.7 Distribution of the Mean of a Random Variable: A Fundamental Theorem2.8 Distribution of Sums of Independent Random Variables; 2.9 Monte Carlo Integration; 2.10 Monte Carlo Estimators; References; Further Reading; Elementary; More Advanced; 3 Sampling Random Variables; 3.1 Transformation of Random Variables; 3.2 Numerical Transformation; 3.3 Sampling Discrete Distributions; 3.4 Composition of Random Variables; 3.4.1 Sampling the Sum of Two Uniform Random Variables; 3.4.2 Sampling a Random Variable Raised to a Power; 3.4.3 Sampling the Distribution f(z) = z(1 - z) |
3.4.4 Sampling the Sum of Several Arbitrary Distributions3.5 Rejection Techniques; 3.5.1 Sampling a Singular pdf Using Rejection; 3.5.2 Sampling the Sine and Cosine of an Angle; 3.5.3 Kahn's Rejection Technique for a Gaussian; 3.5.4 Marsaglia et al. Method for Sampling a Gaussian; 3.6 Multivariate Distributions; 3.6.1 Sampling a Brownian Bridge; 3.7 The M(RT)2 Algorithm; 3.8 Application of M(RT)2; 3.9 Testing Sampling Methods; References; Further Reading; 4 Monte Carlo Evaluation of Finite-Dimensional Integrals; 4.1 Importance Sampling; 4.2 The Use of Expected Values to Reduce Variance |
4.3 Correlation Methods for Variance Reduction4.3.1 Antithetic Variates; 4.3.2 Stratification Methods; 4.4 Adaptive Monte Carlo Methods; 4.5 Quasi-Monte Carlo; 4.5.1 Low-Discrepancy Sequences; 4.5.2 Error Estimation for Quasi-Monte Carlo Quadrature; 4.5.3 Applications of Quasi-Monte Carlo; 4.6 Comparison of Monte Carlo Integration, Quasi-Monte Carlo and Numerical Quadrature; References; Further Reading; 5 Random Walks, Integral Equations, and Variance Reduction; 5.1 Properties of Discrete Markov Chains; 5.1.1 Estimators and Markov Processes; 5.2 Applications Using Markov Chains |
5.2.1 Simulated Annealing5.2.2 Genetic Algorithms; 5.2.3 Poisson Processes and Continuous Time Markov Chains; 5.2.4 Brownian Motion; 5.3 Integral Equations; 5.3.1 Radiation Transport and Random Walks; 5.3.2 The Boltzmann Equation; 5.4 Variance Reduction; 5.4.1 Importance Sampling of Integral Equations; References; Further Reading; 6 Simulations of Stochastic Systems: Radiation Transport; 6.1 Radiation Transport as a Stochastic Process; 6.2 Characterization of the Source; 6.3 Tracing a Path; 6.4 Modeling Collision Events; 6.5 The Boltzmann Equation and Zero Variance Calculations |
6.5.1 Radiation Impinging on a Slab |
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Sommario/riassunto |
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This introduction to Monte Carlo methods seeks to identify and study the unifying elements that underlie their effective application. Initial chapters provide a short treatment of the probability and statistics needed as background, enabling those without experience in Monte Carlo techniques to apply these ideas to their research.The book focuses on two basic themes: The first is the importance of random walks as they occur both in natural stochastic systems and in their relationship to integral and differential equations. The second theme is that of variance reduction in general and impor |
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