An exciting and innovative intermediate piano method written to fill the need of students who have completed a beginning piano method and/or are ready to study the classics. Each collection comes with a study guide that emphasize analysis and enable students to understand the elements of music theory in each piece thus facilitating the learning and memorizing process. The music is arranged in order of musical period and is in their original form.

An exciting and innovative intermediate piano method written to fill the need of students who have completed a beginning piano method and/or are ready to study the classics. Each collection comes with a study guide that emphasize analysis and enable students to understand the elements of music theory in each piece thus facilitating the learning and memorizing process. The music is arranged in order of musical period and is in their original form.

An exciting and innovative intermediate piano method written to fill the need of students who have completed a beginning piano method and/or are ready to study the classics. Each collection comes with a study guide that emphasize analysis and enable students to understand the elements of music theory in each piece thus facilitating the learning and memorizing process. The music is arranged in order of musical period and is in their original form.

An exciting and innovative intermediate piano method written to fill the need of students who have completed a beginning piano method and/or are ready to study the classics. Each collection comes with a study guide that emphasize analysis and enable students to understand the elements of music theory in each piece thus facilitating the learning and memorizing process. The music is arranged in order of musical period and is in their original form.

This collection of classic intermediate literature contains pieces from the four style periods. Theoretical elements are highlighted to hasten the evaluation and presentation of each piece.

Undergraduates in engineering and the physical sciences receive a thorough introduction to perturbation theory in this useful and accessible text. Students discover methods for obtaining an approximate solution of a mathematical problem by exploiting the presence of a small, dimensionless parameter — the smaller the parameter, the more accurate the approximate solution. Knowledge of perturbation theory offers a twofold benefit: approximate solutions often reveal the exact solution's essential dependence on specified parameters; also, some problems resistant to numerical solutions may yield to perturbation methods. In fact, numerical and perturbation methods can be combined in a complementary way. The text opens with a well-defined treatment of finding the roots of polynomials whose coefficients contain a small parameter. Proceeding to differential equations, the authors explain many techniques for handling perturbations that reorder the equations or involve an unbounded independent variable. Two disparate practical problems that can be solved efficiently with perturbation methods conclude the volume. Written in an informal style that moves from specific examples to general principles, this elementary text emphasizes the "why" along with the "how"; prerequisites include a knowledge of one-variable calculus and ordinary differential equations. This newly revised second edition features an additional appendix concerning the approximate evaluation of integrals.

Providing a comprehensive exploration of the major developments of social psychological theories that have taken place over the past half century, this innovative two-volume handbook is a state of the art overview of the primary theories and models that have been developed in this vast and fascinating field. Authored by leading international experts, each chapter represents a personal and historical narrative of the theory′s development including the inspirations, critical junctures, and problem-solving efforts that effected theoretical choices and determined the theory′s impact and its evolution. Unique to this handbook, these narratives provide a rich background for understanding how theories are created, nurtured, and shaped over time, and examining their unique contribution to the field as a whole. To examine its societal impact, each theory is evaluated in terms of its applicability to better understanding and solving critical social issues and problems.

Features an introduction to probability theory using measure theory. This work provides proofs of the essential introductory results and presents the measure theory and mathematical details in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects.

Discover the lessons that helped bring about a new golden age of Disney animation! Published for the first time ever, Drawn to Life is a two volume collection of the legendary lectures from long-time Disney animator Walt Stanchfield. For over twenty years, Walt helped breathe life into the new golden age of animation with these teachings at the Walt Disney Animation Studios and influenced such talented artists as Tim Burton, Brad Bird, Glen Keane, and John Lasseter. These writings represent the quintessential refresher for fine artists and film professionals, and it is a vital tutorial for students who are now poised to be part of another new generation in the art form. Written by Walt Stanchfield (1919-2000), who began work for the Walt Disney Studios in the 1950s. His work can be seen in films like Sleeping Beauty, The Jungle Book, 101 Dalmatians, and Peter Pan. Edited by Academy Award®-nominated producer Don Hahn, who has prduced such classic Disney films as Beauty and the Beast and The Lion King.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.