Writi Following Models

The purpose of this book is to describe in sufficient detail the mathematical models of hysteresis nonlinearities with "nonlocal memories. " The distinct feature of these nonlinearities is that their future states depend on past histories of input variations. It turns out that memories of hysteresis nonlinearities are quite selective. Indeed, experiments show that only some past input extrema (not the entire input variations) leave their marks upon future states of hysteresis nonlinearities. Thus, special mathematical tools are needed to describe nonlocal selective memories of hysteresis nonlinearities. The origin of such tools can be traced back to the landmark paper of Preisach. The book is primarily concerned with Preisach-type models of hysteresis.

This contributed volume introduces the innovative landscapes and business models used in tourism entrepreneurship initiatives of Portugal and Spain. It provides benchmarks for entrepreneurial initiatives covering tourism services, place-branded tourism, social networks, spiritual tourism, cross-border tourism initiatives, and tourism in low-density regions. It also provides guidelines for future strategic actions to foster rural and sustainable development in alternative tourism destinations, following the Iberian experience.

Channel your inner M.C. Escher with these brain teaser puzzles!

This book intends to provide the reader with an overview of the latest developments in computational techniques used in various engineering disciplines.

This book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.

This book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed.