Shige Peng’s Nonlinear Expectations and Stochastic Calculus under Uncertainty with Robust CLT and G-Brownian Motion delves into advanced topics in stochastic calculus, emphasizing the challenges posed by uncertainty in probabilistic models. The book introduces a robust framework for nonlinear expectations, including G-expectations and G-Brownian motion, which extends classical models to addre…
Michael J. Panik’s "Linear Programming and Resource Allocation Modeling" offers a thorough exploration of the concepts, methods, and practical applications of linear programming and resource allocation models in diverse fields. The book introduces the core principles of optimization, detailing processes such as problem formulation, solution strategies, and result interpretation. Panik systema…
This book provides an in-depth exploration of the dynamics of ocean surface waves, blending theoretical frameworks with practical applications. It is aimed at students, academics, and professionals in fields such as ocean engineering, coastal science, and fluid dynamics. The content addresses a range of wave theories, from linear to nonlinear phenomena, wave interactions with structures, and wa…
The book "Meteorological Measurements and Instrumentation" by R. Giles Harrison delves into the tools and methods essential for observing and quantifying atmospheric conditions. Designed for students, researchers, and professionals in meteorology and environmental sciences, this text provides an in-depth look at meteorological instruments, including their principles, calibration techniques, and…
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…