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In this exciting and significant book, Barry Oliver takes us to a world populated by animals and in which not all animals are equal. In a haunting tale that echoes George Orwell's 'Animal Farm', Oliver brings us his most powerful and evocative novel yet. Placing the politically-relevant topic of racism into a story of regression and diapering, the author takes us on a journey that will entrance and challenge us. A fight for justice, a fight for equality and indeed... a fight for life. This is a book for all of us - ABDL or not.
In this exciting and significant book, Barry Oliver takes us to a world populated by animals and in which not all animals are equal. In a haunting tale that echoes George Orwell's 'Animal Farm', Oliver brings us his most powerful and evocative novel yet. Placing the politically-relevant topic of racism into a story of regression and diapering, the author takes us on a journey that will entrance and challenge us. A fight for justice, a fight for equality and indeed... a fight for life. This is a book for all of us - ABDL or not.
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
In this note we consider the problem of using regression on interacting particles to compute conditional expectations for McKean-Vlasov SDEs. We prove general result on convergence of linear regression algorithms and establish the corresponding rates of convergence. Application to optimal stopping and variance reduction are considered.
Another fabulous book by acclaimed ABDL sci-fi writer, Barry Oliver. In this exciting and significant book, Barry Oliver takes us to a world populated by animals with human-like attributes and in which not all animals are equal. In a haunting tale that echoes George Orwell's 'Animal Farm', Oliver brings us his most powerful and evocative novel yet. Placing the politically-relevant topic of racism into a story of regression and diapering, the author takes us on a journey that will entrance and challenge us. A fight for justice, a fight for equality and indeed... a fight for life. This is a book for all of us - ABDL or not.
A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization problems. The large data volume that must be handled in Big Data applications further increases the difficulty of these problems. Swarm Intelligence Methods for Statistical Regression describes methods from the field of computational swarm intelligence (SI), and how they can be used to overcome the optimization bottleneck encountered in statistical analysis. Features Provides a short, self-contained overview of statistical data analysis and key results in stochastic optimization theory Focuses on methodology and results rather than formal proofs Reviews SI methods with a deeper focus on Particle Swarm Optimization (PSO) Uses concrete and realistic data analysis examples to guide the reader Includes practical tips and tricks for tuning PSO to extract good performance in real world data analysis challenges
Gas-Particle and Granular Flow Systems: Coupled Numerical Methods and Applications breaks down complexities, details numerical methods (including basic theory, modeling and techniques in programming), and provides researchers with an introduction and starting point to each of the disciplines involved. As the modeling of gas-particle and granular flow systems is an emerging interdisciplinary field of study involving mathematics, numerical methods, computational science, and mechanical, chemical and nuclear engineering, this book provides an ideal resource for new researchers who are often intimidated by the complexities of fluid-particle, particle-particle, and particle-wall interactions in many disciplines. - Presents the most recent advances in modeling of gas-particle and granular flow systems - Features detailed and multidisciplinary case studies at the conclusion of each chapter to underscore key concepts - Discusses coupled methods of particle and granular flow systems theory and includes advanced modeling tools and numerical techniques