Irreversibility And Causality

Open Systems and Measurement in Relativistic Quantum Theory Further topics include relativistic generalizations of the continuous spontaneous localization model and of the quantum state diffusion model and decoherence and the dynamical selection of preferred basis sets in the framework of continuous measurement theory and of the decoherent histories approach. It starts with a comprehensive introduction to the problems related to measuring local and nonlocal observables and the constraints imposed by the causality principle.This book treats modern aspects of open systems, measurement, and decoherence in relativistic quantum theory.

This book presents a systematic and pedagogical approach to the coupled cluster method, correlated basis function theory and Monte Carlo methods.

This book is a collection of papers in honour of Victor I.It contains reviews on supersymmetry and supergravity, dualities, integrable systems, W (super)algebras and quantum symmetries.

Neural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals.

. Neural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals. This book, devoted to this highly interdisciplinary research area, addresses scientists and graduate students.