In 'Writing the Nation: A Concise Introduction to American Literature 1865 to Present,' editors Amy Berke, Robert Bleil, Jordan Cofer, and Doug Davis curate a comprehensive exploration of American literary evolution from the aftermath of the Civil War to contemporary times. This anthology expertly weaves a tapestry of diverse literary styles and themes, encapsulating the dynamic shifts in American culture and identity. Through carefully selected works, the collection illustrates the rich dialogue between historical contexts and literary expression, showcasing seminal pieces that have shaped American literatures landscape. The diversity of periods and perspectives offers readers a panoramic view of the countrys literary heritage, making it a significant compilation for scholars and enthusiasts alike. The contributing authors and editors, each with robust backgrounds in American literature, bring to the table a depth of scholarly expertise and a passion for the subject matter. Their collective work reflects a broad spectrum of American life and thought, aligning with major historical and cultural movements from Realism and Modernism to Postmodernism. This anthology not only marks the evolution of American literary forms and themes but also mirrors the nations complex history and diverse narratives. 'Writing the Nation' is an essential volume for those who wish to delve into the heart of American literature. It offers readers a unique opportunity to experience the multitude of voices, styles, and themes that have shaped the countrys literary tradition. This collection represents an invaluable resource for students, scholars, and anyone interested in the development of American literature and the cultural forces that have influenced it. The anthology invites readers to engage with the vibrant dialogue among its pages, fostering a deeper understanding and appreciation of the United States' literary and cultural heritage.

This book provides an introduction to the basic ideas and tools used in mathematical analysis. It is a hybrid cross between an advanced calculus and a more advanced analysis text and covers topics in both real and complex variables. Considerable space is given to developing Riemann integration theory in higher dimensions, including a rigorous treatment of Fubini's theorem, polar coordinates and the divergence theorem. These are used in the final chapter to derive Cauchy's formula, which is then applied to prove some of the basic properties of analytic functions. Among the unusual features of this book is the treatment of analytic function theory as an application of ideas and results in real analysis. For instance, Cauchy's integral formula for analytic functions is derived as an application of the divergence theorem. The last section of each chapter is devoted to exercises that should be viewed as an integral part of the text. A Concise Introduction to Analysis should appeal to upper level undergraduate mathematics students, graduate students in fields where mathematics is used, as well as to those wishing to supplement their mathematical education on their own. Wherever possible, an attempt has been made to give interesting examples that demonstrate how the ideas are used and why it is important to have a rigorous grasp of them.

In this book, Professor Baker describes the rudiments of number theory in a concise, simple and direct manner.

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques. The author's webpage for the book can be accessed here.