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Architecture and Mathematics from Antiquity to the Future
Every age and every culture has relied on the incorporation of mathematics in their works of architecture to imbue the built environment with meaning and order. Mathematics is also central to the production of architecture, to its methods of measurement, fabrication and analysis. This two-volume edited collection presents a detailed portrait of the ways in which two seemingly different disciplines are interconnected. Over almost 100 chapters it illustrates and examines the relationship between architecture and mathematics. Contributors of these chapters come from a wide range of disciplines and backgrounds: architects, mathematicians, historians, theoreticians, scientists and educators. Through this work, architecture may be seen and understood in a new light, by professionals as well as non-professionals. Volume I covers architecture from antiquity through Egyptian, Mayan, Greek, Roman, Medieval, Inkan, Gothic and early Renaissance eras and styles. The themes that are covered range from symbolism and proportion to measurement and structural stability. From Europe to Africa, Asia and South America, the chapters span different countries, cultures and practices.
Machine Learning and Music Generation
Computational approaches to music composition and style imitation have engaged musicians, music scholars, and computer scientists since the early days of computing. Music generation research has generally employed one of two strategies: knowledge-based methods that model style through explicitly formalized rules, and data mining methods that apply machine learning to induce statistical models of musical style. The five chapters in this book illustrate the range of tasks and design choices in current music generation research applying machine learning techniques and highlighting recurring research issues such as training data, music representation, candidate generation, and evaluation. The contributions focus on different aspects of modeling and generating music, including melody, chord sequences, ornamentation, and dynamics. Models are induced from audio data or symbolic data. This book was originally published as a special issue of the Journal of Mathematics and Music.
The Oxford Handbook of Music Performance, Volume 2
The two-volume 'Oxford Handbook of Music Performance' provides the most comprehensive and authoritative resource for musicians, educators and scholars currently available. It is aimed primarily for practicing musicians, particularly those who are preparing for a professional career as performers and are interested in practical implications of psychological and scientific research for their own music performance development; educators with a specific interest or expertise in music psychology, who will wish to apply the concepts and techniques surveyed in their own teaching; undergraduate and postgraduate students who understand the potential of music psychology for informing music education; and researchers in the area of music performance who consider it important for the results of their research to be practically useful for musicians and music educators.
