Summary. We consider two basic types of coarse-graining: the Ehrenfests ’ coarse-graining and its extension to a general principle of non-equilibrium thermodynamics, and the coarse-graining based on uncertainty of dynamical models and ε-motions (orbits). Non-technical discussion of basic notions and main coarse-graining theorems are presented: the theorem about entropy overproduction for the Ehrenfests ’ coarse-graining and its generalizations, both for conservative and for dissipative systems, and the theorems about stable properties and the Smale or-der for ε-motions of general dynamical systems including structurally unstable systems. Computational kinetic models of macroscopic dynamics are considered. We construct a theoretical basis fo...
An information-theoretic perspective on coarse-graining is presented. It starts with an information ...
We present recent results on coarse-graining techniques for thermodynamic quantities (canonical aver...
Coarse-graining modeling is a leading technique in multiscale simulations that has been continuously...
Summary. We consider two basic types of coarse-graining: the Ehrenfests’ coarse-graining and its ext...
Summary. We consider two basic types of coarse-graining: the Ehrenfests’ coarse-graining and its ext...
The problem of establishing how different coarse-graining procedures affect the law of generalized d...
Coarse-graining is the art of a useful and consistent reduction of information and, in physics, it a...
Model reduction and coarse-graining are important in many areas of science and engineering. How does...
We describe the dynamical evolution of collisionless stellar systems on a coarse-grained scale. We ...
Lying at the core of statistical physics is the need to reduce the number of degrees of freedom in a...
We present recent results on coarse-graining techniques for thermodynamic quantities (canonical aver...
For a given thermodynamic system, and a given choice of coarse-grained state variables, the knowledg...
We present recent results on coarse-graining techniques for thermodynamic quantities (canonical aver...
An information-theoretic perspective on coarse-graining is presented. It starts with an information ...
An information-theoretic perspective on coarse-graining is presented. It starts with an information ...
An information-theoretic perspective on coarse-graining is presented. It starts with an information ...
We present recent results on coarse-graining techniques for thermodynamic quantities (canonical aver...
Coarse-graining modeling is a leading technique in multiscale simulations that has been continuously...
Summary. We consider two basic types of coarse-graining: the Ehrenfests’ coarse-graining and its ext...
Summary. We consider two basic types of coarse-graining: the Ehrenfests’ coarse-graining and its ext...
The problem of establishing how different coarse-graining procedures affect the law of generalized d...
Coarse-graining is the art of a useful and consistent reduction of information and, in physics, it a...
Model reduction and coarse-graining are important in many areas of science and engineering. How does...
We describe the dynamical evolution of collisionless stellar systems on a coarse-grained scale. We ...
Lying at the core of statistical physics is the need to reduce the number of degrees of freedom in a...
We present recent results on coarse-graining techniques for thermodynamic quantities (canonical aver...
For a given thermodynamic system, and a given choice of coarse-grained state variables, the knowledg...
We present recent results on coarse-graining techniques for thermodynamic quantities (canonical aver...
An information-theoretic perspective on coarse-graining is presented. It starts with an information ...
An information-theoretic perspective on coarse-graining is presented. It starts with an information ...
An information-theoretic perspective on coarse-graining is presented. It starts with an information ...
We present recent results on coarse-graining techniques for thermodynamic quantities (canonical aver...
Coarse-graining modeling is a leading technique in multiscale simulations that has been continuously...