This book contains the invited lectures and a short account of communications at the II Granada Lectures which focused on Dynamical Systems. Key concepts such as dissipative dynamical systems, orbits, bifurcations, classical Hamiltonian chaos, KAM theorem, hyperbolic sets, time series analysis, renormalization group, quantum chaos and their applications were covered during the seminar. In addition, popular topics in computational statistical physics such as models of growth, material physics, fluids, nonequilibrium phase transitions, critical phenomena and computational astrophysics were also discussed. Written pedagogically at the graduate level, the topics were described comprehensively and supported by illustrations. This book is useful for beginners and a valuable reference for professionals in this field.

This book contains the invited lectures and a short account of communications at the II Granada Lectures which focused on Dynamical Systems. Key concepts such as dissipative dynamical systems, orbits, bifurcations, classical Hamiltonian chaos, KAM theorem, hyperbolic sets, time series analysis, renormalization group, quantum chaos and their applications were covered during the seminar. In addition, popular topics in computational statistical physics such as models of growth, material physics, fluids, nonequilibrium phase transitions, critical phenomena and computational astrophysics were also discussed. Written pedagogically at the graduate level, the topics were described comprehensively and supported by illustrations. This book is useful for beginners and a valuable reference for professionals in this field.

This book contains the invited lectures and a short account of communications at the II Granada Lectures which focused on Dynamical Systems. Key concepts such as dissipative dynamical systems, orbits, bifurcations, classical Hamiltonian chaos, KAM theorem, hyperbolic sets, time series analysis, renormalization group, quantum chaos and their applications were covered during the seminar. In addition, popular topics in computational statistical physics such as models of growth, material physics, fluids, nonequilibrium phase transitions, critical phenomena and computational astrophysics were also discussed. Written pedagogically at the graduate level, the topics were described comprehensively and supported by illustrations. This book is useful for beginners and a valuable reference for professionals in this field.