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Mathematics and Computation in Music: 8th International Conference, MCM 2022, Atlanta, GA, USA, June 2124, 2022, Proceedings 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 411 pages, height x width: 235x155 mm, weight: 652 g, 74 Illustrations, color; 63 Illustrations, black and white; XIV, 411 p. 137 illus., 74 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13267
  • Izdošanas datums: 04-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031070143
  • ISBN-13: 9783031070143
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 78,14 €*
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  • Standarta cena: 91,94 €
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  • Formāts: Paperback / softback, 411 pages, height x width: 235x155 mm, weight: 652 g, 74 Illustrations, color; 63 Illustrations, black and white; XIV, 411 p. 137 illus., 74 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13267
  • Izdošanas datums: 04-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031070143
  • ISBN-13: 9783031070143
Citas grāmatas par šo tēmu:
This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Mathematics and Computation in Music, MCM 2022, held in Atlanta, GA, USA, in June 2022.
The 29 full papers and 8 short papers presented were carefully reviewed and selected from 45 submissions. The papers feature research that combines mathematics or computation with music theory, music analysis, composition, and performance. They are organized in Mathematical Scale and Rhythm Theory: Combinatorial, Graph Theoretic, Group Theoretic and Transformational Approaches; Categorical and Algebraic Approaches to Music; Algorithms and Modeling for Music and Music-Related Phenomena; Applications of Mathematics to Musical Analysis; Mathematical Techniques and Microtonality
Algebraic structures.- artificial intelligence.- clustering and
computational analysis of music.- computational music theory.- fourier
transforms.-  machine learning.-  mathematical analysis of music.-
 mathematical models of music.- mathematical music theory.- music cognition.-
music formalization semantics.- signal processing.- software for musical
processing.- algorithm analysis and problem complexity.