Logo

Variational Modelling: Energies, gradient flows, and large deviations

Small book cover: Variational Modelling: Energies, gradient flows, and large deviations

Variational Modelling: Energies, gradient flows, and large deviations
by

Publisher: arXiv
Number of pages: 64

Description:
The notes describe the methodology called Variational Modelling, and focus on the application to the modelling of gradient-flow systems. I describe the methodology itself in great detail, and explain why this is a rational modelling route.

Home page url

Download or read it online for free here:
Download link
(700KB, PDF)

Similar books

Book cover: Singularities of Transition Processes in Dynamical SystemsSingularities of Transition Processes in Dynamical Systems
by - American Mathematical Society
This monograph presents a systematic analysis of the singularities in the transition processes for dynamical systems. We study general dynamical systems, with dependence on a parameter, and construct relaxation times that depend on three variables.
(9759 views)
Book cover: Complex Dynamics and RenormalizationComplex Dynamics and Renormalization
by - Princeton University Press
Addressing researchers and graduate students in the active meeting ground of analysis, geometry, and dynamics, this book presents a study of renormalization of quadratic polynomials and a rapid introduction to techniques in complex dynamics.
(8509 views)
Book cover: Dynamical Systems and ChaosDynamical Systems and Chaos
by
Class notes for an introductory course on dynamical systems and chaos for mathematicians, physicists, and engineers. The text concentrates on models rather than proofs in order to bring out the concepts of dynamics and chaos.
(14998 views)
Book cover: Introduction to the Theory of Infinite-Dimensional Dissipative SystemsIntroduction to the Theory of Infinite-Dimensional Dissipative Systems
by - ACTA
An introduction to infinite-dimensional dissipative dynamical systems. The book outlines a variety of tools applied in the study of nonlinear dynamical distributed systems. The results have applications to many areas of physics and engineering.
(11428 views)