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Musical Variation [electronic resource] : Toward a Transformational Perspective /

By: Contributor(s): Material type: TextTextSeries: Computational Music SciencePublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XXXV, 307 p. 1 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031314513
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 780.0519 23
LOC classification:
  • T57-57.97
  • ML1-3930
Online resources:
Contents:
Part. I. Decontextualized Variation -- Chapter. 1. Basic concepts -- Chapter. 2. Decomposable variation -- Chapter. 3. Measurement of similarity -- Chapter. 4. Transformational operations -- Chapter. 5. Measurement of similarity -- Part II. Variation on time -- Chapter. 6. Grundgestalt -- Chapter. 7. Developing variation -- Part III. Analysis: Brahms –Intermezzo in A Major Op.118/2 -- Chapter. 8. Formal, harmonic, and metric structure -- Chapter. 9. Derivative analysis -- Afterword -- Further Reading -- Part. IV. Appendices -- Appendix A. Variation in non-tonal contexts -- Appendix B. MDA -- Appendix. C. Algorithms.
In: Springer Nature eBookSummary: This book offers an in-depth analysis of musical variation through a systematic approach, heavily influenced by the principles of Grundgestalt and developed variations, both created by the Austrian composer Arnold Schoenberg (1874-1951). The author introduces a new transformational-derivative model and the theory that supports it, specifically crafted for the examination of tonal music. The idea for this book emerged during a sabbatical at Columbia University, while the content is the product of extensive research conducted at the Federal University of Rio de Janeiro, resulting in the development of the Model of Derivative Analysis. This model places emphasis on the connections between musical entities rather than viewing them as separate entities. As a case study, the Intermezzo in A Major Op.118/2 by Brahms is selected for analysis. The author's goal is to provide a formal and structured approach while maintaining the text's readability and appeal for both musicians and mathematicians in the field of music theory. The book concludes with the author's recommendations for further research.
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Part. I. Decontextualized Variation -- Chapter. 1. Basic concepts -- Chapter. 2. Decomposable variation -- Chapter. 3. Measurement of similarity -- Chapter. 4. Transformational operations -- Chapter. 5. Measurement of similarity -- Part II. Variation on time -- Chapter. 6. Grundgestalt -- Chapter. 7. Developing variation -- Part III. Analysis: Brahms –Intermezzo in A Major Op.118/2 -- Chapter. 8. Formal, harmonic, and metric structure -- Chapter. 9. Derivative analysis -- Afterword -- Further Reading -- Part. IV. Appendices -- Appendix A. Variation in non-tonal contexts -- Appendix B. MDA -- Appendix. C. Algorithms.

This book offers an in-depth analysis of musical variation through a systematic approach, heavily influenced by the principles of Grundgestalt and developed variations, both created by the Austrian composer Arnold Schoenberg (1874-1951). The author introduces a new transformational-derivative model and the theory that supports it, specifically crafted for the examination of tonal music. The idea for this book emerged during a sabbatical at Columbia University, while the content is the product of extensive research conducted at the Federal University of Rio de Janeiro, resulting in the development of the Model of Derivative Analysis. This model places emphasis on the connections between musical entities rather than viewing them as separate entities. As a case study, the Intermezzo in A Major Op.118/2 by Brahms is selected for analysis. The author's goal is to provide a formal and structured approach while maintaining the text's readability and appeal for both musicians and mathematicians in the field of music theory. The book concludes with the author's recommendations for further research.

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