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Alice Muriel Williamson (1869-1933) was a British novelist. She was Charles Norris Williamson (1859-1920)'s wife. Her former name was Alice Muriel Livingston, and she was introducing herself after her marriage as Mrs. C. N. Williamson. Her mystery A Women in Grey (1898) was translated and adapted into Japanese by Kuroiwa Ruiko by the title Ghost Tower in 1901. Alice and her Husband collaborated in writing too many books including The Princess Passes (1905), The Motor Maid (1910), The Port of Adventure (1913), It Happened in Egypt (1914), The Shop-Girl (1916) and The Second Latchkey (1920).
Secret History Revealed By Lady Peggy O'Malley, a classical book, has been considered important throughout the human history, and so that this work is never forgotten we at Alpha Editions have made efforts in its preservation by republishing this book in a modern format for present and future generations. This whole book has been reformatted, retyped and designed. These books are not made of scanned copies of their original work and hence the text is clear and readable.
Reproduction of the original: Secret History Revealed by Lady Peggy O ́Malley by Alice Muriel Williamson, Charles Norris Williamson
The Good Lover tells the story of Karl Astuson, whose love life consists of a string of meaningless affairs; the only woman who came close to his 'perfect' mother was his first and only love Una, who left a void within Karl that he seems unable to fill. Impulsively and uncharacteristically, he travels back to Reykjavik and wins her over. But before they have the chance to live out their happy ending, Karl's womanizing past catches up with him when an ex immortalizes him in a novel as 'the good lover'.
This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data. In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented.
This book focuses on three emerging research topics in mobile social networks (MSNs): privacy-preserving profile matching (PPM) protocols, privacy-preserving cooperative data forwarding (PDF) protocols, and trustworthy service evaluation (TSE) systems. The PPM helps two users compare their personal profiles without disclosing the profiles. The PDF helps users forward data to their friends via multiple cooperative relay peers while preserving their identity and location privacy. The TSE enables users to locally share service reviews on the vendors such that users receive more valuable information about the services not only from vendors but also from their trusted social friends. The authors address both theoretic and practical aspects of these topics by introducing the system model, reviewing the related works, and presenting the solutions. Security and Privacy for Mobile Social Networks further provides the security analysis and the performance evaluation based on real-trace simulations. It also summarizes the future research directions for this rapidly growing area of research. The book will be valuable for researchers and practitioners who work with mobile social networks, communication platforms, wireless communication techniques, and internet applications. "Suitable for any type of reader as an introduction to the topic... The chapters are well motivated and presented... It is recommended for researchers." -ACM Computing Reviews, 21 July 2014
Animal Farm is designed to help secondary English students understand and analyse the text. This comprehensive study guide to George Orwell's novella contains detailed character and chapter analysis and explores genre, structure, themes and language. Essay questions and sample answers help to prepare students for creating written responses to the text.
The plays of Shakespeare are filled with ghosts - and ghost writing. Shakespeare's Ghost Writers is an examination of the authorship controversy surrounding Shakespeare: the claim made repeatedly that the plays were ghost written. Ghosts take the form of absences, erasures, even forgeries and signatures - metaphors extended to include Shakespeare himself and his haunting of us, and in particular theorists such Derrida, Marx, Nietzsche, and Freud - the figure of Shakespeare constantly made and remade by contemporary culture. Marjorie Garber, one of the most eminent Shakespearean theorists writing today, asks what is at stake in the imputation that "Shakespeare" did not write the plays, and shows that the plays themselves both thematize and theorize that controversy. This Routledge Classics edition contains a new preface and new chapter by the author.
This book is a journey into the dual territory of educational and theatrical settings. It advances the knowledge in these settings by touching upon provocative questions, by dealing with the limitations and challenging the new possibilities of theatre for young people. It is an attempt to bring intellectual rigor and some theoretical perspectives drawn from recent theatre and aesthetic theory to the field of theatre for young people.
In applications, and especially in mathematical finance, random time-dependent events are often modeled as stochastic processes. Assumptions are made about the structure of such processes, and serious researchers will want to justify those assumptions through the use of data. As statisticians are wont to say, “In God we trust; all others must bring data.” This book establishes the theory of how to go about estimating not just scalar parameters about a proposed model, but also the underlying structure of the model itself. Classic statistical tools are used: the law of large numbers, and the central limit theorem. Researchers have recently developed creative and original methods to use these tools in sophisticated (but highly technical) ways to reveal new details about the underlying structure. For the first time in book form, the authors present these latest techniques, based on research from the last 10 years. They include new findings. This book will be of special interest to researchers, combining the theory of mathematical finance with its investigation using market data, and it will also prove to be useful in a broad range of applications, such as to mathematical biology, chemical engineering, and physics.