Jyotsna Kumar Mandal & Somnath Mukhopadhyay 
Handbook of Research on Natural Computing for Optimization Problems [EPUB ebook] 

Avoiding lengthy mathematical discussions, this reference specifically addresses issues affecting the day-to-day practices of those who design, operate, and purchase liquid pipelines in the oil, wate …

This monograph is devoted to the construction of optimal estimates of values of linear functionals on solutions to Cauchy and two-point boundary value problems for systems of linear first-order ordin …

This text presents a wide variety of common types of models found in other mathematical modeling texts, as well as some new types. However, the models are presented in a very unique format. A typical …

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environ …

The introduction of control theory in quantum mechanics has created a rich, new interdisciplinary scientific field, which is producing novel insight into important theoretical questions at the heart …

An “enjoyable [and] painlessly instructive” guide to probability, full of examples drawn from daily life and history (The Skeptic). Our lives are governed by chance. But what, exactly, is chance? In …

Lattice theory extends into virtually every branch of mathematics, ranging from measure theory and convex geometry to probability theory and topology. A more recent development has been the rapid esc …

This reference – based on the Conference on Differential Equations, held in Bologna – provides information on current research in parabolic and hyperbolic differential equations. Presenting methods a …

Updated with new material, this book shares the author’s secrets for simplifying complex energy calculations, and shows you how to use these time-saving methods. It shows you how to cut through the m …

An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling brings the power of modern Bayesian thinking, modeling …