This book provides a broad introduction to the scientific and psychological study of music, exploring how music is processed by our brains, affects us emotionally, shapes our personal and cultural identities, and can be used in therapeutic and educational contexts. Why are some people tone deaf and others musical savants? What do our musical preferences say about our personality and the culture in which we were raised? Why do certain songs remind us so strongly of particular people, places, or events? How can music be therapeutically used to help those with autism, Parkinson's, and other medical conditions? The Science and Psychology of Music: From Beethoven at the Office to Beyonce at the Gym answers these and other questions. This book provides a broad and accessible introduction to the fascinating field of music psychology. Despite its name, music psychology includes a number of fields, including neuroscience, psychology, social psychology, sociology, and health. Through a collection of thematically organized chapters, readers will discover how our brains recognize elements of music, how music can affect us and shape our identities, and the many real-world applications for such information. Explores a topic that is of great interest to both psychology students and the general public through accessible and engaging content Provides a conceptual framework for readers and through a multi-part format allows them to focus their attention on their particular areas of interest Furthers readers' understanding of how music can affect our wellbeing as it includes both our physical and psychological health Reflects the subject knowledge of contributing experts in a wide variety of academic disciplines

Numerical Linear Algebra with Applications is designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, using MATLAB as the vehicle for computation. The book contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. The text consists of six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra. It explains in great detail the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra. In addition to examples from engineering and science applications, proofs of required results are provided without leaving out critical details. The Preface suggests ways in which the book can be used with or without an intensive study of proofs. This book will be a useful reference for graduate or advanced undergraduate students in engineering, science, and mathematics. It will also appeal to professionals in engineering and science, such as practicing engineers who want to see how numerical linear algebra problems can be solved using a programming language such as MATLAB, MAPLE, or Mathematica.