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Algorithmic Composition - Paradigms of Automated Music Generation (Paperback, Softcover reprint of hardcover 1st ed. 2009) Loot Price: R1,488
Discovery Miles 14 880
Algorithmic Composition - Paradigms of Automated Music Generation (Paperback, Softcover reprint of hardcover 1st ed. 2009):...

Algorithmic Composition - Paradigms of Automated Music Generation (Paperback, Softcover reprint of hardcover 1st ed. 2009)

Gerhard Nierhaus

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Loot Price R1,488 Discovery Miles 14 880 | Repayment Terms: R139 pm x 12*

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Algorithmic composition - composing by means of formalizable methods - has a century old tradition not only in occidental music history. This is the first book to provide a detailed overview of prominent procedures of algorithmic composition in a pragmatic way rather than by treating formalizable aspects in single works. In addition to an historic overview, each chapter presents a specific class of algorithm in a compositional context by providing a general introduction to its development and theoretical basis and describes different musical applications. Each chapter outlines the strengths, weaknesses and possible aesthetical implications resulting from the application of the treated approaches. Topics covered are: markov models, generative grammars, transition networks, chaos and self-similarity, genetic algorithms, cellular automata, neural networks and artificial intelligence are covered. The comprehensive bibliography makes this work ideal for the musician and the researcher alike.

General

Imprint: Springer-Verlag
Country of origin: Austria
Release date: October 2010
First published: 2009
Authors: Gerhard Nierhaus
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Paperback
Pages: 287
Edition: Softcover reprint of hardcover 1st ed. 2009
ISBN-13: 978-3-211-99915-8
Categories: Books > Humanities > General
Books > Arts & Architecture > Music > General
Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Music > General
LSN: 3-211-99915-9
Barcode: 9783211999158

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