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Orlando di Lasso was probably the most famous and most popular composer of the second half of the 1500s. This book of essays written by leading scholars from Europe and the United States is a survey of a broad spectrum of Lasso's music. The essays discuss his large and varied output with regard to structure, expressive qualities, liturgical aspects and its use as a model by other composers, focusing in turn on his Magnificat settings, masses, motets, hymns and madrigals. His relationship to contemporaries and younger composers is the main subject of three essays and is touched on throughout the book, together with the circulation of his music in print and in manuscript. His attitude toward modal theory is explored in one essay, and another considers the relationship of verbal and musical stress in Lasso's music and what this implies both for scholars and for performers.

Music, Renaissance --- Music --- Musique de la Renaissance --- Musique --- Lasso, Orlando di, --- Criticism and interpretation. --- Critique et interprétation --- Criticism and interpretation --- Lasso, Orlando di --- -Criticism and interpretation --- Critique et interprétation --- Lassus, Orland de, --- Lassus, Roland de, --- Lassus, Orlande de, --- Di Lasso, Orlando, --- Lassus, Orlandus de, --- Lassus, Orlandus, --- Delattre, Roland, --- Orlando Lassus --- di Lasso, Orlando --- de Lassus, Orlande --- de Lassus, Roland --- Lassus, Orlandus --- Lassus, Rolandus --- Delattre, Roland --- de Lâtre, Roland --- Lasso, Orlando di, - 1532-1594 - Criticism and interpretation --- Lasso, Orlando di, - 1532-1594

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After the Mass Ordinary, the Magnificat was the liturgical text most frequently set by Renaissance composers, and Orlando di Lasso's 101 polyphonic settings form the largest and most varied repertory of Magnificats in the history of European music. In the first detailed investigation of this repertory, David Crook focuses on the forty parody or imitation Magnificats, which Lasso based on motets, madrigals, and chansons written by such composers as Josquin and Rore. By examining these Magnificats in their social, historical, and liturgical contexts and in terms of composition theory, Crook opens a new window on the breadth and subtlety of an important composer often harshly judged on his use of preexistent music.Crook places Lasso amidst the Counter-Reformation reforms at the Bavarian court where he composed the Magnificats, and where there emerged a fanatical Marian cult that favored this genre. In a section on compositional procedure, Crook explains that Lasso abandoned the traditional eight psalm-tone melodies in his imitation Magnificats, considers the new ways he found to represent the tones, and describes how Lasso's experimentation reflected the complex relationship between mode and tone in Renaissance theory and practice. Arguing that Lasso's varied uses of preexistent music defy current definitions of parody technique, Crook, in his final chapter, reveals the imitation Magnificats as vastly more imaginative and innovative than previous characterizations suggest.Originally published in 1994.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Magnificat (Music) --- Church music --- History and criticism --- History and criticism. --- Lasso, Orlando di, --- -Church music --- Pastoral music (Sacred) --- Religious music --- Sacred vocal music --- Devotional exercises --- Liturgics --- Music --- Music in churches --- Psalmody --- Evening service music --- Religious aspects --- Christianity --- Lasso, Orlando di --- Munich (Germany) --- 16th century --- 526.30 --- Genre- en werkbesprekingen

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Garcilaso de la Vega --- Spaanse poëzie. 16e eeuw. --- Garcilaso de la Vega. --- Poésie espagnole. 16e s. --- Spanish poetry --- Vega, Garcilaso de la, --- De la Vega, Garcilaso, --- Laso de la Vega, --- Lasso de la Vega, --- La Vega, Garcilaso de, --- Garcilaso de la Vega, --- Vega, García Laso de la, --- Suárez de Figueroa, García, --- De Figueroa, García Suárez, --- Figueroa, García Suárez de, --- Garci-Lasso de la Vega, --- Influence.

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Mahler, Gustav --- Composition (Music) --- Mass (Music) --- Parody in music. --- Composition (Music). --- Mass (Music). --- Parody (Music) --- Musical parodies --- Musical parody --- Musical form --- Humor in music --- Masses --- Composing (Music) --- Music composing --- Music composition --- Musical composition --- Concertante style --- Lasso, Orlando di --- Music --- History and criticism --- Composition --- Church music --- Lord's Supper (Liturgy) --- Catholic Church --- Mahler, Gustav. --- Maler, Gustav, --- Maler, G. --- Mārā, Gusutafu, --- Lassus, Roland de

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"This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex optimization theory can be used to devise and analyze near-optimal statistical inferences. Statistical Inference via Convex Optimization is an essential resource for optimization specialists who are new to statistics and its applications, and for data scientists who want to improve their optimization methods. Juditsky and Nemirovski provide the first systematic treatment of the statistical techniques that have arisen from advances in the theory of optimization. They focus on four well-known statistical problems-sparse recovery, hypothesis testing, and recovery from indirect observations of both signals and functions of signals-demonstrating how they can be solved more efficiently as convex optimization problems. The emphasis throughout is on achieving the best possible statistical performance. The construction of inference routines and the quantification of their statistical performance are given by efficient computation rather than by analytical derivation typical of more conventional statistical approaches. In addition to being computation-friendly, the methods described in this book enable practitioners to handle numerous situations too difficult for closed analytical form analysis, such as composite hypothesis testing and signal recovery in inverse problems. Statistical Inference via Convex Optimization features exercises with solutions along with extensive appendixes, making it ideal for use as a graduate text"--

Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- All of Nonparametric Statistics. --- Asymptotic Methods in Statistical Decision Theory. --- Dantzig selector. --- Gaussian observations. --- Has'minskii. --- Hellinger distance. --- Ibragimov. --- Introduction to Nonparametric Estimation. --- Lagrange duality. --- Le Cam. --- N-convex function. --- Statistical Estimation. --- Tsybakov. --- Wasserman. --- bisection algorithm. --- conic programming. --- convex sets. --- duality. --- ell-1-norm minimization. --- estimating functions. --- lasso selector. --- minimization. --- saddle points. --- signal plus noise. --- signal-to-noise. --- unobserved signal. --- variable selection.