Introduction To Chopin

Known as a "pianist's composer," Chopin's love, passion and devotion to piano music resulted in over 200 compositions. This collection contains the more accessible pieces which still have vivd melodies and lush harmonies.

This volume contains 31 pieces from The First Term at the Piano, For Children, 10 Easy Pieces and 7 Sketches. The informative foreword includes Bartók's specific instructions on wrist and finer action, articulations and syncopation. Each piece is prefaced by a brief introduction.

Known as a "pianist's composer," Chopin's love, passion and devotion to piano music resulted in more than 200 compositions. This collection contains the more accessible pieces which still have vivid melodies and lush harmonies. The Alfred Masterwork CD Editions conveniently combine each exceptional volume with a professionally recorded CD that is sure to inspire artistic performances. Pianist Valery Lloyd-Watts studied at the Conservatory of Music in Toronto and the Royal College of Music in London. She earned a Master of Music degree from the University of Wisconsin, where she studied with Paul Badura-Skoda. She co-authored the text Studying Suzuki Piano: More than Music, which was endorsed by Dr. Suzuki.

The nocturnes (night pieces) are among the most introspective and personal of Chopin's works, as he was influenced by John Field's pieces of the same title. This complete collection of the nocturnes includes a useful thematic index and footnotes citing the differences between the manuscripts and the first editions. The pedaling, tempos and other musical markings are Chopin's.

This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitative finance, and robotics. The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book. Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a “Python corner,” which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.

Includes theme from "Raindrop" Prelude, "Minute" Waltz, "Lullaby," "Fantaisie-impromptu," "Butterfly" Etude, "Military" and "Heroic" Polonaise, plus melodic highlights from the most familiar preludes, mazurkas, waltzes, and etudes. Features 23 piano arrangements. Bonus MP3 downloads are included for each song.