Language : English
Published : 2010
Calculus 2nd Edition
Gilbert Strang’s highly regarded calculus textbook; ideal both as a course companion and for self-study. Examples of the application of calculus to subjects such as physics, engineering and economics are included, as well as many practice questions and illustrative diagrams to assist the reader’s grasp of the material.
About the Author
Gilbert Strang is a Professor of Mathematics at MIT, an Honorary Fellow of Oxford University’s Balliol College and a Fellow and past president of the Society for Industrial and Applied Mathematics (SIAM). He won the first Su Buchin Prize from the International Congress of Industrial and Applied Mathematics and the Haimo Prize from the Mathematical Association of America for his contributions to teaching around the world.
“Calculus I with Precalculus, 3rd edition, International Edition” developed for one-year courses, is ideal for instructors who wish to successfully bring students up to speed algebraically within precalculus and transition them into calculus. The Larson Calculus program has a long history of innovation in the calculus market. It has been widely praised by a generation of students and professors for its solid and effective pedagogy that addresses the needs of a broad range of teaching and learning styles and environments. Each title is just one component in a comprehensive calculus course program that carefully integrates and coordinates print, media, and technology products for successful teaching and learning. Two primary objectives guided the authors in writing this book: to develop precise, readable materials for students that clearly define and demonstrate concepts and rules of calculus and to design comprehensive teaching resources for instructors that employ proven pedagogical techniques and saves the instructor time.
About the Author
Sanford L. Segal is Professor of Mathematics at the University of Rochester and the author of “Nine Introductions in Complex Analysis”.
Full of relevant, diverse, and current real-world applications, Stefan Waner and Steven Costenoble’s APPLIED CALCULUS, Sixth Edition helps you relate to mathematics. A large number of the applications are based on real, referenced data from business, economics, the life sciences, and the social sciences. Thorough, clearly delineated spreadsheet and TI Graphing Calculator instruction appears throughout the book. Acclaimed for its readability and supported by the authors’ popular website, this book will help you grasp and understand applied calculus–whatever your learning style may be. Available with InfoTrac Student Collections http://gocengage.com/infotrac.
About the Author
Stefan Waner and Steven R. Costenoble both received their Ph.D. from the University of Chicago, having studied several years apart with the same advisor, J. Peter May. Their paths merged when Steven joined Stefan at Hofstra University in 1987; since then they have coauthored 15 research papers in algebraic topology. By the early 1990s they had become dissatisfied with many of the Finite Mathematics and Applied Calculus textbooks. They wanted textbooks that were more readable and relevant to students’ interests, containing examples and exercises that were interesting, and reflected the interactive approaches and techniques they found worked well with their own students. It therefore seemed natural to extend their research collaboration to a joint textbook writing project that expressed these ideals. To this day they continue to work together on their textbook projects, their research in algebraic topology, and their teaching.
John E. Freund’s Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices. This text is appropriate for a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics. It can also be used for a single-semester course emphasizing probability, probability distributions and densities, sampling, and classical statistical inference.