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By way of introduction we may sketch in the background from which this mid-century stock-taking grew, and perhaps add a few comments of our own. The first half of the 20th century passed under the sign of violent antitheses. First there was revolutionary dissolution, followed by severe, tradition-oriented concentration; emphatic subjectivity, then dogged objectivity and studied collectivism, The same extremes can be detected in the constituent features of music. Form became so fragmented that its dangling remnants could hardly be detected, but subsequently it solidified, triumphantly rediscovering age-old esthetic tenets and then petrified.
This kaleidoscopic collection reflects on the multifaceted world of classical music as it advances through the twenty-first century. With insights drawn from leading composers, performers, academics, journalists, and arts administrators, special focus is placed on classical music’s defining traditions, challenges and contemporary scope. Innovative in structure and approach, the volume comprises two parts. The first provides detailed analyses of issues central to classical music in the present day, including diversity, governance, the identity and perception of classical music, and the challenges facing the achievement of financial stability in non-profit arts organizations. The second part offers case studies, from Miami to Seoul, of the innovative ways in which some arts organizations have responded to the challenges analyzed in the first part. Introductory material, as well as several of the essays, provide some preliminary thoughts about the impact of the crisis year 2020 on the world of classical music. Classical Music: Contemporary Perspectives and Challenges will be a valuable and engaging resource for all readers interested in the development of the arts and classical music, especially academics, arts administrators and organizers, and classical music practitioners and audiences.
Winner of the 2007 National Book Critics Circle Award for Criticism A New York Times Book Review Top Ten Book of the Year Time magazine Top Ten Nonfiction Book of 2007 Newsweek Favorite Books of 2007 A Washington Post Book World Best Book of 2007 In this sweeping and dramatic narrative, Alex Ross, music critic for The New Yorker, weaves together the histories of the twentieth century and its music, from Vienna before the First World War to Paris in the twenties; from Hitler's Germany and Stalin's Russia to downtown New York in the sixties and seventies up to the present. Taking readers into the labyrinth of modern style, Ross draws revelatory connections between the century's most influential composers and the wider culture. The Rest Is Noise is an astonishing history of the twentieth century as told through its music.
The Cambridge Companion to Chopin provides the enquiring music-lover with helpful insights into a musical style which recognises no contradiction between the accessible and the sophisticated, the popular and the significant. Twelve essays by leading Chopin scholars make up three parts. Part 1 discusses the sources of Chopin's style in the music of his predecessors and the social history of the period. Part 2 profiles the mature music, and Part 3 considers the afterlife of the music - its reception, its criticism and its compositional influence in the works of subsequent composers.
One of The Telegraph's Best Music Books 2011 Alex Ross's award-winning international bestseller, The Rest Is Noise: Listening to the Twentieth Century, has become a contemporary classic, establishing Ross as one of our most popular and acclaimed cultural historians. Listen to This, which takes its title from a beloved 2004 essay in which Ross describes his late-blooming discovery of pop music, showcases the best of his writing from more than a decade at The New Yorker. These pieces, dedicated to classical and popular artists alike, are at once erudite and lively. In a previously unpublished essay, Ross brilliantly retells hundreds of years of music history—from Renaissance dances to Led Zeppelin—through a few iconic bass lines of celebration and lament. He vibrantly sketches canonical composers such as Schubert, Verdi, and Brahms; gives us in-depth interviews with modern pop masters such as Björk and Radiohead; and introduces us to music students at a Newark high school and indie-rock hipsters in Beijing. Whether his subject is Mozart or Bob Dylan, Ross shows how music expresses the full complexity of the human condition. Witty, passionate, and brimming with insight, Listen to This teaches us how to listen more closely.
Reading Pop collects together key essays on the interpretation of pop songs previously published in the journal Popular Music. In sixteen varied studies by many of the best-known scholars, all the most influential approaches are represented. An introduction by leading pop academic Richard Middleton puts them into context and outlines the main debates. A select bibliography of other writings on pop music analysis adds to the usefulness of the book, which will become a central text in popular music studies. - ;Reading Pop collects together key essays on the interpretation of pop songs previously published in the journal Popular Music. In sixteen varied studies by many of the best-known scholars, all the most influential approaches are represented. An introduction by leading pop academic Richard Middleton puts them into context and outlines the main debates. A select bibliography of other writings on pop music analysis adds to the usefulness of the book, which will become a central text in popular music studies. - ;extensive introduction is particularly valuable ... the paperback price is worth it for the introduction, and the Bjornberg and Tagg essays, alone. - Allan More, British Journal of Music Education
In today’s world, with an increase in the breadth and scope of real-world engineering optimization problems as well as with the advent of big data, improving the performance and efficiency of algorithms for solving such problems has become an indispensable need for specialists and researchers. In contrast to conventional books in the field that employ traditional single-stage computational, single-dimensional, and single-homogeneous optimization algorithms, this book addresses multiple newfound architectures for meta-heuristic music-inspired optimization algorithms. These proposed algorithms, with multi-stage computational, multi-dimensional, and multi-inhomogeneous structures, bring about a new direction in the architecture of meta-heuristic algorithms for solving complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data. The architectures of these new algorithms may also be appropriate for finding an optimal solution or a Pareto-optimal solution set with higher accuracy and speed in comparison to other optimization algorithms, when feasible regions of the solution space and/or dimensions of the optimization problem increase. This book, unlike conventional books on power systems problems that only consider simple and impractical models, deals with complicated, techno-economic, real-world, large-scale models of power systems operation and planning. Innovative applicable ideas in these models make this book a precious resource for specialists and researchers with a background in power systems operation and planning. Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations research; Enhances existing architectures and develops innovative architectures for meta-heuristic music-inspired optimization algorithms in order to deal with complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data; Addresses innovative multi-level, techno-economic, real-world, large-scale, computational-logical frameworks for power systems operation and planning, and illustrates practical training on implementation of the frameworks using the meta-heuristic music-inspired optimization algorithms.