Letzte Suchanfragen

Ergebnisse für *

Zeige Ergebnisse 1 bis 5 von 5.

  1. Once upon a prime
    the wondrous connections between mathematics and literature
    Autor*in: Hart, Sarah
    Erschienen: [2023]; © 2023
    Verlag:  Mudlark, London

  2. Once upon a prime
    the wondrous connections between mathematics and literature
    Autor*in: Hart, Sarah
    Erschienen: [2023]; © 2023
    Verlag:  Mudlark, London

  3. Music, Mathematics and Language
    The New Horizon of Computational Musicology Opened by Information Science
  4. Music, Mathematics and Language
    The New Horizon of Computational Musicology Opened by Information Science
    Erschienen: 2023
    Verlag:  Springer Verlag, Singapore, Singapore

    This book presents a new approach to computational musicology in which music becomes a computational entity based on human cognition, allowing us to calculate music like numbers. Does music have semantics? Can the meaning of music be revealed using... mehr

     

    This book presents a new approach to computational musicology in which music becomes a computational entity based on human cognition, allowing us to calculate music like numbers. Does music have semantics? Can the meaning of music be revealed using symbols and described using language? The authors seek to answer these questions in order to reveal the essence of music. Chapter 1 addresses a very fundamental point, the meaning of music, while referring to semiotics, gestalt, Schenkerian analysis and cognitive reality. Chapter 2 considers why the 12-tone equal temperament came to be prevalent. This chapter serves as an introduction to the mathematical definition of harmony, which concerns the ratios of frequency in tonic waves. Chapter 3, "Music and Language," explains the fundamentals of grammar theory and the compositionality principle, which states that the semantics of a sentence can be composed in parallel to its syntactic structure. In turn, Chapter 4 explains the most prevalent score notation - the Berklee method, which originated at the Berklee School of Music in Boston - from a different point of view, namely, symbolic computation based on music theory. Chapters 5 and 6 introduce readers to two important theories, the implication-realization model and generative theory of tonal music (GTTM), and explain the essence of these theories, also from a computational standpoint. The authors seek to reinterpret these theories, aiming at their formalization and implementation on a computer. Chapter 7 presents the outcomes of this attempt, describing the framework that the authors have developed, in which music is formalized and becomes computable. Chapters 8 and 9 are devoted to GTTM analyzers and the applications of GTTM. Lastly, Chapter 10 discusses the future of music in connection with computation and artificial intelligence. This book is intended both for general readers who are interested in music, and scientists whose research focuses on music information processing. In order to make the content as accessible as possible, each chapter is self-contained

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811951688
    Auflage/Ausgabe: 1st ed. 2022
    Schlagworte: Angewandte Mathematik; Applied mathematics; Artificial intelligence; COMPUTERS / Artificial Intelligence; Computational linguistics; Computerlinguistik und Korpuslinguistik; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Linguistics; LITERARY CRITICISM / Semiotics & Theory; MATHEMATICS / Applied; MATHEMATICS / Logic; Mathematical foundations; Mathematik: Logik; Mathematische Grundlagen; Musikwissenschaft und Musiktheorie; PHILOSOPHY / Aesthetics; Philosophie Ästhetik; Philosophy: aesthetics; Semiotics / semiology; Semiotik und Semiologie
    Umfang: 257 Seiten
    Bemerkung(en):

    Chapter 1: Toward the Machine Computing Semantics of Music.- Chapter 2: Mathematics of Temperament: Principle and Development.- Chapter 3: Music and Natural Language.- Chapter 4: Berklee Method.- Chapter 5: Implication-Realization Model.- Chapter 6: Generative Theory of Tonal Music and Tonal Pitch Space.- Chapter 7: Formalization of GTTM.- Chapter 8: Implementation of GTTM.- Chapter 9: Application of GTTM.- Chapter 10: Epilogue.

  5. Novel Financial Technologies for Stablecoins, Market Stability, and Network Analysis
    Erschienen: 2023

    This thesis confronts the challenges of complexity in financial systems, in which economic questions transform into computer science and mathematical problems. For instance, this occurs when systems have complicated dynamic interactions, and when... mehr

    Zugang:
    Aggregator (lizenzpflichtig)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    keine Fernleihe

     

    This thesis confronts the challenges of complexity in financial systems, in which economic questions transform into computer science and mathematical problems. For instance, this occurs when systems have complicated dynamic interactions, and when systems are large and direct solution methods are not necessarily feasible.The first part of the thesis focuses on decentralized finance systems, which leverage new blockchain technologies to replace the role of risky financial intermediaries with decentralized (and more robust) structures, and the design of stablecoins, which aim to be a stable asset in a setting in which USD cannot be held directly. Decentralized stablecoins aim to function based on incentive design supported by transparent rules enforced cryptographically, in contrast to traditional currencies, which are supported by legal and governmental systems. This work explores new risks that complicate the design of resilient stablecoins, leading to significant results characterizing stablecoin runs and deleveraging spirals and new governance risks in decentralized finance protocols. The second part of this thesis focuses on cascades in economic networks, in which many firms interact with each other. This work explores new types of risks that can arise due to network structure and confronts two main issues that prevent the application of economic network models in practice, namely that these models can be very sensitive to parameter uncertainty and many aspects of these models can be computationally hard to compute. This leads to several significant results:• Characterizing mathematical properties of reinsurance contagion models, including dangerous structures that lead to retrocession spirals and underestimation of risk; • Adapting influence maximization methods to the problem of intervening in economic network contagion, enabling an NP-hard problem to be solved approximately in practice;• Applying perturbation theory to bound sensitivity in economic networks, improving on and unifying past results, and providing a means for network analysis to be more actionable in practice.This work involves applying methods from network analysis, perturbation theory, stochastic processes, agent-based models, game theory, and simulations.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Online
    ISBN: 9798379710972
    Schriftenreihe: Dissertations Abstracts International
    Schlagworte: Applied mathematics; Computer science; Algorithms; Blockchain; Decentralized finance; Economic networks; Risk analysis; Stablecoins
    Umfang: 1 Online-Ressource (409 p.)
    Bemerkung(en):

    Source: Dissertations Abstracts International, Volume: 84-12, Section: B. - Advisor: Minca, Andreea

    Dissertation (Ph.D.), Cornell University, 2023