Fundamentals of Optics by Francis A. Jenkins offers a detailed introduction to the core concepts and principles of optics. The book aims to provide readers with a solid understanding of how light behaves, how it interacts with different materials, and the fundamental physical laws that govern optical phenomena. Topics covered include reflection, refraction, diffraction, interference, polarizati…
Theory and Problems of Real Variables by Murray R. Spiegel offers a comprehensive guide to the fundamental concepts of real analysis, focusing on the rigorous exploration of functions of real variables. Designed for students and professionals, the book provides in-depth explanations of topics such as continuity, limits, differentiation, and integration, while emphasizing both theoretical founda…
College Mathematics for the Managerial, Life, and Social Sciences by Soo T. Tan provides an extensive introduction to finite mathematics and applied calculus, specifically designed for students in business, economics, and social sciences. The book highlights practical applications by using real-life examples such as satellite radio subscriptions, Google’s earnings, job outsourcing, and the im…
The "Statistics for Engineering and the Sciences: Student Solutions Manual" by William M. Mendenhall, Terry L. Sincich, and Nancy S. Boudreau is a comprehensive guide designed to complement the main textbook, offering detailed solutions to problems commonly encountered in statistics courses for engineering and the sciences. This manual provides step-by-step explanations and solutions for exerci…
MATLAB R is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models, and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes…
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data a…