Fundamentals of Membrane Separation Technology provides a comprehensive and systematic introduction to this environmentally friendly separation process. Using a structured format that promotes comprehension and implementation each chapter provides overviews, principles, materials and preparation, and industrial applications.  Each chapter then concludes with future prospects, references, and end of chapter exercises. Written for students and professionals, this book is an ideal reference for those who wish to better understand the fundamentals and applications of membrane technology.

Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF).The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.