Symbolizing luxury and old-fashioned glamour, Monte Carlo is a glorious Eden, perfectly manicured and architecturally grand. From its ancient Phoenician origins to its burgeoning power as a global financial center, this gorgeous volume chronicles the Grimaldi dynasty, the artists and socialists who first put the Principality on the map and how Hollywood darling Grace Kelly attracted the celebrity spotlight, the vibrant arts and culture scene, legendary Grand Prix race, and the controversial metamorphosis of the cityscape"--Jacket.
"Drawing on letters, correspondence, oral histories, and interviews, Baronova's daughter, the actress Victoria Tennant, ... recounts Baronova's dramatic life, from her earliest aspirations to her grueling time on tour to her later years in Australia as a pioneer of the art"--Dust jacket flap.
"A rollicking narrative history of Jazz Age Monte Carlo, chronicling the city's rise from WWI's ashes to become one of the world's most storied, infamous playgrounds of the rich, only to be crushed under it's own weight ten years later"--Provided by publisher.
The legend of St. Tropez starts with a dog, a rooster, and a martyr; and it leads to movie stars, world-renowned artists and distinguished writers. Located on the sparkling French Riviera, St. Tropez has enjoyed the spotlight for more than half a century, for better or worse, with celebrities flocking to this idyllic locale for its beaches and a dose of Mediterranean sun. A picturesque oasis, St. Tropez has served as inspiration for a who’s who of notable writers from Françoise Sagan to Colette; as well as renowned artists Paul Signac and Henri Matisse; and even filmmakers. However, St. Tropez would not be the same without then belle du jour Brigitte Bardot, her films and lovers and many other famous couples including Annabel and Bernard Buffet and Bianca and Mick Jagger.
The spiced aroma of frangipani, sweeping beaches, dramatic landscapes inhabited by beautiful peoplethese are the popular images of Bali, but the fabled island is also a magnet for celebrities, artists, and eccentrics. Featuring beautiful original photography, this lush volume explores the many facets of the mythical island of Bali, from its verdant topography and deeply rooted traditions and rituals, to the recent influx of expat artists and new age entrepreneurs. In the Spirit of Bali concludes with a guide to resorts, villas, spas, restaurants, temples, holistic resources, sightseeing, and recreation.
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Until now, novices had to painstakingly dig through the literature to discover how to use Monte Carlo techniques for solving electromagnetic problems. Written by one of the foremost researchers in the field, Monte Carlo Methods for Electromagnetics provides a solid understanding of these methods and their applications in electromagnetic computation. Including much of his own work, the author brings together essential information from several different publications. Using a simple, clear writing style, the author begins with a historical background and review of electromagnetic theory. After addressing probability and statistics, he introduces the finite difference method as well as the fixed and floating random walk Monte Carlo methods. The text then applies the Exodus method to Laplace’s and Poisson’s equations and presents Monte Carlo techniques for handing Neumann problems. It also deals with whole field computation using the Markov chain, applies Monte Carlo methods to time-varying diffusion problems, and explores wave scattering due to random rough surfaces. The final chapter covers multidimensional integration. Although numerical techniques have become the standard tools for solving practical, complex electromagnetic problems, there is no book currently available that focuses exclusively on Monte Carlo techniques for electromagnetics. Alleviating this problem, this book describes Monte Carlo methods as they are used in the field of electromagnetics.
