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Simon Mak

Associate Professor of Statistical Science
Statistical Science
214 Old Chemistry, Box 90251, Durham, NC 27708-0251
214 Old Chemistry, Box 90251, Durham, NC 27708-0251

Scholarly Works - Book sections


A NEW DATASET, NOTATION SOFTWARE, AND REPRESENTATION FOR COMPUTATIONAL SCHENKERIAN ANALYSIS

Book section · January 1, 2024 Schenkerian Analysis (SchA) is a uniquely expressive method of music analysis, combining elements of melody, harmony, counterpoint, and form to describe the hierarchical structure supporting a work of music. However, despite its powerful analytical utility ... Cite

Adaptive approximation for multivariate linear problems with inputs lying in a cone

Book section · June 8, 2020 We study adaptive approximation algorithms for general multivariate linear problems, where the sets of input functions are nonconvex cones. Whereas it is known that adaptive algorithms perform essentially no better than nonadaptive algorithms for convex an ... Full text Cite