Computational Counterpoint Worlds von Octavio Alberto Agustín-Aquino | Mathematical Theory, Software, and Experiments | ISBN 9783319371672

Computational Counterpoint Worlds

Mathematical Theory, Software, and Experiments

von Octavio Alberto Agustín-Aquino, Julien Junod und Guerino Mazzola
Mitwirkende
Autor / AutorinOctavio Alberto Agustín-Aquino
Autor / AutorinJulien Junod
Autor / AutorinGuerino Mazzola
Buchcover Computational Counterpoint Worlds | Octavio Alberto Agustín-Aquino | EAN 9783319371672 | ISBN 3-319-37167-3 | ISBN 978-3-319-37167-2
“It is really an example of putting theory into practice. Apart from illustrative examples and problems to solve, the authors’ approach is highly algorithmic. … In addition, the appendices are extremely helpful on mathematical basics, a guide to counterpoint worlds and strict digraphs, and the index is quite useful.” (Jean Paul Van Bendegem, Mathematical Reviews, October, 2018)

Computational Counterpoint Worlds

Mathematical Theory, Software, and Experiments

von Octavio Alberto Agustín-Aquino, Julien Junod und Guerino Mazzola
Mitwirkende
Autor / AutorinOctavio Alberto Agustín-Aquino
Autor / AutorinJulien Junod
Autor / AutorinGuerino Mazzola

The mathematical theory of counterpoint was originally aimed at simulating the composition rules described in Johann Joseph Fux’s Gradus ad Parnassum. It soon became apparent that the algebraic apparatus used in this model could also serve to define entirely new systems of rules for composition, generated by new choices of consonances and dissonances, which in turn lead to new restrictions governing the succession of intervals.

 

This is the first book bringing together recent developments and perspectives on mathematical counterpoint theory in detail. The authors include recent theoretical results on counterpoint worlds, the extension of counterpoint to microtonal pitch systems, the singular homology of counterpoint models, and the software implementation of contrapuntal models.

 

The book is suitable for graduates and researchers. A good command of algebra is a prerequisite for understanding the construction of the model.