Abstract Schaum’s Outline of Advanced Calculus (2nd Ed.) serves as a comprehensive and accessible companion for upper-level undergraduate and beginning graduate students tackling advanced calculus. It reviews essential theory—such as real and complex functions, limits, continuity, derivatives and integrals of one and several variables—followed by practical applications like vector calc…
The author has attempted an ambitious and most commendable project. He assumes only a modest knowledge of algebraic topology on the part of the reader to start with, and he leads the reader systematically to the point at which he can begin to tackle problems in the current areas of research centered around generalized homology theories and their applications. ... The author has sought to make h…
Adams Calculus is intended for the three semester calculus course.Classroom proven in North America and abroad, this classic text has been praised for its high level of mathematical integrity including complete and precise statements of theorems, use of geometric reasoning in applied problems, and the diverse range of applications across the sciences. The Fifth Edition features the inclusion of…
In recent years, mathematics has become valuable in many areas, including economics and management science as well as the physical sciences, engineering and computer science. Therefore, this book provides the fundamental concepts and techniques of real analysis for readers in all of these areas. It helps one develop the ability to think deductively, analyze mathematical situations and extend id…
Calculus, Single Variable: Early Transcendental Functions (3rd Edition) by Robert T. Smith and Roland B. Minton presents a clear and student-friendly approach to single-variable calculus. It introduces transcendental functions—such as exponential and logarithmic—early in the text, enhancing conceptual understanding. With thousands of exercises, real-world applications, and integrated techno…
A classic introductory textbook in probability and statistics, this book provides a balanced presentation of theory and application. Topics include descriptive statistics, probability distributions, sampling theory, hypothesis testing, regression, and ANOVA. Designed for students in diverse fields such as business, biology, engineering, and the social sciences.