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1000 tulosta hakusanalla Carlo Gozzi

The Criminology of Carlo Morselli - Part I

The Criminology of Carlo Morselli - Part I

TAYLOR FRANCIS LTD
2024
nidottu
The first of two volumes, this book about the criminology of Carlo Morselli includes diverse contributions that study the social inter-dependence of criminal phenomena. It presents various studies on the importance and impact of social ties on offenders, victims and the social response to crime.The idea that social relationships are central to the understanding of human phenomena draws its roots from Jacob Moreno’s work in 1934, whose contribution – among others made at about the same time – paved the way for social network analysis (SNA), a set of methods and approaches that study dyadic relationships and their connections to other dyads in the same network. Surprisingly, SNA was not widely adopted in criminology until the end of the 20th century. It took researchers like Carlo Morselli to apply the principles of SNA and graph theory to criminological objects. As a researcher, Morselli embodied SNA; he was a so-called ‘broker’ in his network of social scientists, linking dozens of excellent researchers that he collaborated with, directly or not. Granovetter showed that ‘weak ties’ – or acquaintances – were important in the diffusion of new ideas, and Morselli put that insight to practice in criminology. This collection of works from experts in the field takes on questions that Morselli worked on throughout his career, drawing on his theoretical insights, his methods, and even his general conceptualisation of what organised crime is, and isn’t, to deliver rich and fertile scholarship on the study of social networks in criminology.The Criminology of Carlo Morselli - Part I will be a key resource for academics, researchers, and advanced students of Criminology and Criminal Justice, Sociology, and Social Sciences. The chapters included in this book were originally published as a special issue of Global Crime.
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The Criminology of Carlo Morselli - Part II

The Criminology of Carlo Morselli - Part II

TAYLOR FRANCIS LTD
2023
sidottu
The second of two volumes, this book about the criminology of Carlo Morselli includes a diversity of contributions that study the social inter-dependence of criminal phenomena. It presents various studies on the importance and impact of social ties on offenders, victims and the social response to crime.The idea that social relationships are central to the understanding of human phenomena draws its roots from Jacob Moreno’s work in 1934, whose contribution – among others made at about the same time – paved the way for social network analysis (SNA), a set of methods and approaches that study dyadic relationships and their connections to other dyads in the same network. Surprisingly, SNA was not widely adopted in criminology until the end of the 20th century. It took researchers like Carlo Morselli to apply the principles of SNA and graph theory to criminological objects. As a researcher, Morselli embodied SNA; he was a so-called ‘broker’ in his network of social scientists, linking dozens of excellent researchers that he collaborated with, directly or not. Granovetter showed that ‘weak ties’ – or acquaintances – were important in the diffusion of new ideas, and Morselli put that insight to practice in criminology. While it is impossible to summarise Carlo Morselli’s work in a single paper or book, the breadth of his contributions to criminology are highlighted in the six chapters of this volume, which all draw from a specific area of interest of Carlo Morselli.The Criminology of Carlo Morselli - Part II will be a key resource for academics, researchers, and advanced students of Criminology and Criminal Justice, Sociology, Social Sciences. The chapters included in this book were originally published as a special issue of Global Crime.
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The Criminology of Carlo Morselli - Part II

The Criminology of Carlo Morselli - Part II

TAYLOR FRANCIS LTD
2024
nidottu
The second of two volumes, this book about the criminology of Carlo Morselli includes a diversity of contributions that study the social inter-dependence of criminal phenomena. It presents various studies on the importance and impact of social ties on offenders, victims and the social response to crime.The idea that social relationships are central to the understanding of human phenomena draws its roots from Jacob Moreno’s work in 1934, whose contribution – among others made at about the same time – paved the way for social network analysis (SNA), a set of methods and approaches that study dyadic relationships and their connections to other dyads in the same network. Surprisingly, SNA was not widely adopted in criminology until the end of the 20th century. It took researchers like Carlo Morselli to apply the principles of SNA and graph theory to criminological objects. As a researcher, Morselli embodied SNA; he was a so-called ‘broker’ in his network of social scientists, linking dozens of excellent researchers that he collaborated with, directly or not. Granovetter showed that ‘weak ties’ – or acquaintances – were important in the diffusion of new ideas, and Morselli put that insight to practice in criminology. While it is impossible to summarise Carlo Morselli’s work in a single paper or book, the breadth of his contributions to criminology are highlighted in the six chapters of this volume, which all draw from a specific area of interest of Carlo Morselli.The Criminology of Carlo Morselli - Part II will be a key resource for academics, researchers, and advanced students of Criminology and Criminal Justice, Sociology, Social Sciences. The chapters included in this book were originally published as a special issue of Global Crime.
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Quantum Monte Carlo Methods

Quantum Monte Carlo Methods

Gubernatis James; Kawashima Naoki; Werner Philipp

Cambridge University Press
2016
sidottu
Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to provide a pedagogical overview of the field and its applications. The book provides a comprehensive introduction to the Monte Carlo method, its use, and its foundations, and examines algorithms for the simulation of quantum many-body lattice problems at finite and zero temperature. These algorithms include continuous-time loop and cluster algorithms for quantum spins, determinant methods for simulating fermions, power methods for computing ground and excited states, and the variational Monte Carlo method. Also discussed are continuous-time algorithms for quantum impurity models and their use within dynamical mean-field theory, along with algorithms for analytically continuing imaginary-time quantum Monte Carlo data. The parallelization of Monte Carlo simulations is also addressed. This is an essential resource for graduate students, teachers, and researchers interested in quantum Monte Carlo techniques.
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Quantum Monte Carlo Approaches for Correlated Systems

Quantum Monte Carlo Approaches for Correlated Systems

Federico Becca; Sandro Sorella

Cambridge University Press
2017
sidottu
Over the past several decades, computational approaches to studying strongly-interacting systems have become increasingly varied and sophisticated. This book provides a comprehensive introduction to state-of-the-art quantum Monte Carlo techniques relevant for applications in correlated systems. Providing a clear overview of variational wave functions, and featuring a detailed presentation of stochastic samplings including Markov chains and Langevin dynamics, which are developed into a discussion of Monte Carlo methods. The variational technique is described, from foundations to a detailed description of its algorithms. Further topics discussed include optimisation techniques, real-time dynamics and projection methods, including Green's function, reptation and auxiliary-field Monte Carlo, from basic definitions to advanced algorithms for efficient codes, and the book concludes with recent developments on the continuum space. Quantum Monte Carlo Approaches for Correlated Systems provides an extensive reference for students and researchers working in condensed matter theory or those interested in advanced numerical methods for electronic simulation.
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A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics

David Landau; Kurt Binder

Cambridge University Press
2021
sidottu
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.
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Fast Sequential Monte Carlo Methods for Counting and Optimization

Fast Sequential Monte Carlo Methods for Counting and Optimization

Reuven Y. Rubinstein; Ad Ridder; Radislav Vaisman

John Wiley Sons Inc
2014
sidottu
A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for Counting and Optimization is a complete illustration of fast sequential Monte Carlo techniques. The book provides an accessible overview of current work in the field of Monte Carlo methods, specifically sequential Monte Carlo techniques, for solving abstract counting and optimization problems. Written by authorities in the field, the book places emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. Focusing on the concepts and application of Monte Carlo techniques, Fast Sequential Monte Carlo Methods for Counting and Optimization includes: Detailed algorithms needed to practice solving real-world problemsNumerous examples with Monte Carlo method produced solutions within the 1-2% limit of relative errorA new generic sequential importance sampling algorithm alongside extensive numerical resultsAn appendix focused on review material to provide additional background information Fast Sequential Monte Carlo Methods for Counting and Optimization is an excellent resource for engineers, computer scientists, mathematicians, statisticians, and readers interested in efficient simulation techniques. The book is also useful for upper-undergraduate and graduate-level courses on Monte Carlo methods.
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Simulation and the Monte Carlo Method

Simulation and the Monte Carlo Method

Reuven Y. Rubinstein; Dirk P. Kroese

John Wiley Sons Inc
2016
sidottu
This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for problem solving Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo, variance reduction techniques such as importance (re-)sampling, and the transform likelihood ratio method, the score function method for sensitivity analysis, the stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization, the cross-entropy method for rare events estimation and combinatorial optimization, and application of Monte Carlo techniques for counting problems. An extensive range of exercises is provided at the end of each chapter, as well as a generous sampling of applied examples. The Third Edition features a new chapter on the highly versatile splitting method, with applications to rare-event estimation, counting, sampling, and optimization. A second new chapter introduces the stochastic enumeration method, which is a new fast sequential Monte Carlo method for tree search. In addition, the Third Edition features new material on: • Random number generation, including multiple-recursive generators and the Mersenne Twister • Simulation of Gaussian processes, Brownian motion, and diffusion processes • Multilevel Monte Carlo method • New enhancements of the cross-entropy (CE) method, including the “improved” CE method, which uses sampling from the zero-variance distribution to find the optimal importance sampling parameters • Over 100 algorithms in modern pseudo code with flow control • Over 25 new exercises Simulation and the Monte Carlo Method, Third Edition is an excellent text for upper-undergraduate and beginning graduate courses in stochastic simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method. Reuven Y. Rubinstein, DSc, was Professor Emeritus in the Faculty of Industrial Engineering and Management at Technion-Israel Institute of Technology. He served as a consultant at numerous large-scale organizations, such as IBM, Motorola, and NEC. The author of over 100 articles and six books, Dr. Rubinstein was also the inventor of the popular score-function method in simulation analysis and generic cross-entropy methods for combinatorial optimization and counting. Dirk P. Kroese, PhD, is a Professor of Mathematics and Statistics in the School of Mathematics and Physics of The University of Queensland, Australia. He has published over 100 articles and four books in a wide range of areas in applied probability and statistics, including Monte Carlo methods, cross-entropy, randomized algorithms, tele-traffic c theory, reliability, computational statistics, applied probability, and stochastic modeling.
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The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics

The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics

J. Robert Mahan

Wiley-Blackwell
2019
sidottu
A groundbreaking guide dedicated exclusively to the MCRT method in radiation heat transfer and applied optics The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics offers the most modern and up-to-date approach to radiation heat transfer modelling and performance evaluation of optical instruments. The Monte Carlo ray-trace (MCRT) method is based on the statistically predictable behavior of entities, called rays, which describe the paths followed by energy bundles as they are emitted, reflected, scattered, refracted, diffracted and ultimately absorbed. The author – a noted expert on the subject – covers a wide variety of topics including the mathematics and statistics of ray tracing, the physics of thermal radiation, basic principles of geometrical and physical optics, radiant heat exchange among surfaces and within participating media, and the statistical evaluation of uncertainty of results obtained using the method. The book is a guide to help formulate and solve models that accurately describe the distribution of radiant energy in thermal and optical systems of practical engineering interest. This important guide: Combines radiation heat transfer and applied optics into a single disciplineCovers the MCRT method, which has emerged as the dominant tool for radiation heat transfer modellingHelps readers to formulate and solve models that describe the distribution of radiant energyFeatures pages of color images and a wealth of line drawings Written for faculty and graduate students in mechanical and aerospace engineering and applied optics professionals, The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics is the first book dedicated exclusively to the MCRT method.
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