Introduction to MATLAB

In this introduction to Mikhail Bakhtin, Ken Hirschkop presents a compact, readable, detailed, and sophisticated exposition of all of Bakhtin's important works. Using the most up-to-date sources and the new, scholarly editions of Bakhtin's texts, Hirschkop explains Bakhtin's influential ideas, demonstrates their relevance and usefulness for literary and cultural analysis, and sets them in their historical context. In clear and concise language, Hirschkop shows how Bakhtin's ideas have changed the way we understand language and literary texts. Authoritative and accessible, this Cambridge Introduction is the most comprehensive and reliable account of Bakhtin and his work yet available.

In this introduction to Mikhail Bakhtin, Ken Hirschkop presents a compact, readable, detailed, and sophisticated exposition of all of Bakhtin's important works. Using the most up-to-date sources and the new, scholarly editions of Bakhtin's texts, Hirschkop explains Bakhtin's influential ideas, demonstrates their relevance and usefulness for literary and cultural analysis, and sets them in their historical context. In clear and concise language, Hirschkop shows how Bakhtin's ideas have changed the way we understand language and literary texts. Authoritative and accessible, this Cambridge Introduction is the most comprehensive and reliable account of Bakhtin and his work yet available.

The first process-based textbook on how soils form and function in biogeochemical cycles, offering a self-contained and integrated overview of the field as it now stands for advanced undergraduate and graduate students in soil science, environmental science, and the wider Earth sciences. The jargon-free approach quickly familiarises students with the field's theoretical foundations before moving on to analyse chemical and other numerical data, building the necessary skills to develop questions and strategies for original research by the end of a single semester course. The field-based framework equips students with the essential tools for accessing and interpreting the vast USDA soil dataset, allowing them to establish a working knowledge of the most important modern developments in soil research. Complete with numerous end-of-chapter questions, figures and examples, students will find this textbook a multidisciplinary toolkit invaluable to their future careers.

The first process-based textbook on how soils form and function in biogeochemical cycles, offering a self-contained and integrated overview of the field as it now stands for advanced undergraduate and graduate students in soil science, environmental science, and the wider Earth sciences. The jargon-free approach quickly familiarises students with the field's theoretical foundations before moving on to analyse chemical and other numerical data, building the necessary skills to develop questions and strategies for original research by the end of a single semester course. The field-based framework equips students with the essential tools for accessing and interpreting the vast USDA soil dataset, allowing them to establish a working knowledge of the most important modern developments in soil research. Complete with numerous end-of-chapter questions, figures and examples, students will find this textbook a multidisciplinary toolkit invaluable to their future careers.

Despite its seemingly deterministic nature, the study of whole numbers, especially prime numbers, has many interactions with probability theory, the theory of random processes and events. This surprising connection was first discovered around 1920, but in recent years the links have become much deeper and better understood. Aimed at beginning graduate students, this textbook is the first to explain some of the most modern parts of the story. Such topics include the Chebychev bias, universality of the Riemann zeta function, exponential sums and the bewitching shapes known as Kloosterman paths. Emphasis is given throughout to probabilistic ideas in the arguments, not just the final statements, and the focus is on key examples over technicalities. The book develops probabilistic number theory from scratch, with short appendices summarizing the most important background results from number theory, analysis and probability, making it a readable and incisive introduction to this beautiful ar