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001 | 978-3-030-85694-6 | ||
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008 | 220224s2022 sz | s |||| 0|eng d | ||
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024 | 7 |
_a10.1007/978-3-030-85694-6 _2doi |
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050 | 4 | _aML1-3930 | |
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100 | 1 |
_aNamoradze, Nicolas. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aLigeti’s Macroharmonies _h[electronic resource] : _bA Graphical-Statistical Analysis of Book 3 of the Piano Etudes / _cby Nicolas Namoradze. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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300 |
_aX, 203 p. 190 illus., 111 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aComputational Music Science, _x1868-0313 |
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505 | 0 | _aIntroduction -- Alternating Diatonic Qualities in Etude 15, White on White -- Gradual Disintegrations in Etude 16, Pour Irina -- Articulating Ternary Structures in Etude 17, À bout de souffle -- Tonal Procedures in Etude 18, Canon -- Conclusion -- Appendix 1: Scrolling Videos -- Appendix 2: Maximal Forces on Fourier Balances -- Bibliography. | |
520 | _aIn the third and final book of his iconic piano etudes György Ligeti charts a new path relative to the rest of his musical output, representing a significant arrival in a composer’s oeuvre known for its stylistic transformations. This monograph is the first dedicated study of these capstone works, investigating them through a novel lens of statistical-graphical analysis that illuminates their compositional uniqueness as well as broader questions regarding the perception of stability in musical texture. With nearly 200 graphical illustrations and a detailed commentary, this examination reveals the unique manner in which Ligeti treads between tonality and atonality—a key idea in his late style—and the centrality of processes related to broader scale areas (or “macroharmony”) in articulating structures and narratives. The analytical techniques developed here are a powerful tool for investigating macroharmonic stability that can be applied to a wide range of repertoire beyond these works. This book is intended for graduate-level and professional music theorists, musicologists, performers and mathematicians. | ||
650 | 0 |
_aMusic _xMathematics. |
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650 | 0 | _aFourier analysis. | |
650 | 0 | _aStatistics . | |
650 | 0 |
_aMathematics _xData processing. |
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650 | 1 | 4 | _aMathematics in Music. |
650 | 2 | 4 | _aFourier Analysis. |
650 | 2 | 4 | _aApplied Statistics. |
650 | 2 | 4 | _aComputational Mathematics and Numerical Analysis. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030856939 |
776 | 0 | 8 |
_iPrinted edition: _z9783030856953 |
776 | 0 | 8 |
_iPrinted edition: _z9783030856960 |
830 | 0 |
_aComputational Music Science, _x1868-0313 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-85694-6 |
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912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c178983 _d178983 |