The Musical-Mathematical Mind
Patterns and Transformations
Buch in deiner Nähe kaufen
Beschreibung
This book presents a deep spectrum of musical, mathematical, physical, and philosophical perspectives that have emerged in this field at the intersection of music and mathematics. In particular the contributed chapters introduce advanced techniques and concepts from modern mathematics and physics, deriving from successes in domains such as Topos theory and physical string theory.
The authors include many of the leading researchers in this domain, and the book will be of value to researchers working in computational music, particularly in the areas of counterpoint, gesture, and Topos theory.
This book presents a deep spectrum of musical, mathematical, physical, and philosophical perspectives that have emerged in this field at the intersection of music and mathematics. In particular the contributed chapters introduce advanced techniques and concepts from modern mathematics and physics, deriving from successes in domains such as Topos theory and physical string theory.
The authors include many of the leading researchers in this domain, and the book will be of value to researchers working in computational music, particularly in the areas of counterpoint, gesture, and Topos theory.
Presents and explains important ideas in counterpoint, gesture, and Topos theory Contributors among leading researchers in this domain Valuable for researchers working in the area of computational music
Autor*in
Gabriel Pareyon
Themen in »The Musical-Mathematical Mind«
Counterpoint Music Theory Gesture Theory Improvisation Algorithmic Music Automated Composition Systems Musical Morphologies Topos Theory
Stimmen zu »The Musical-Mathematical Mind«
“It is impossible to summarize a work of such depth. Suffice it to say that abstract algebra, topology, number theory, geometry, and so on are all involved. If you are a serious devotee of musical-mathematical theory and have a very extensive background in both areas, the book will be a treasure.” (James Van Speybroeck, Computing Reviews, April, 2018)
()