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Bounded Noises in Physics, Biology, and Engineering

Bounded Noises in Physics, Biology, and Engineering in Franklin, TN

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Bounded Noises in Physics, Biology, and Engineering

Barnes and Noble

Bounded Noises in Physics, Biology, and Engineering in Franklin, TN

Current price: $54.99
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Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic shastic fluctuations of a biological system that are caused by its interaction with the external world.
Bounded Noises in Physics, Biology, and Engineering
is the first contributed volume devoted to the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics. It gives an overview of the current state-of-the-art and is intended to stimulate further research.
The volume is organized in four parts. The first part presents the main kinds of bounded noises and their applications in theoretical physics. The theory of bounded shastic processes is intimately linked to its applications to mathematical and statistical physics, and it would be difficult and unnatural to separate the theory from its physical applications. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded shastic processes in biology, one of the major areas of potential applications of this subject. The final part concerns the application of bounded shastic processes in mechanical and structural engineering, the area where the renewed interest for non-Gaussian bounded noises started. Pure mathematicians working on shastic calculus will find here a rich source of problems that are challenging from the point of view of contemporary nonlinear analysis.
is intended for scientists working on shasticprocesses with an interest in both fundamental issues and applications. It will appeal to a broad range of applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. It is accessible to anyone with a working knowledge of shastic modeling, from advanced undergraduates to senior researchers.
Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic shastic fluctuations of a biological system that are caused by its interaction with the external world.
Bounded Noises in Physics, Biology, and Engineering
is the first contributed volume devoted to the modeling of bounded noises in theoretical and applied statistical mechanics, quantitative biology, and mathematical physics. It gives an overview of the current state-of-the-art and is intended to stimulate further research.
The volume is organized in four parts. The first part presents the main kinds of bounded noises and their applications in theoretical physics. The theory of bounded shastic processes is intimately linked to its applications to mathematical and statistical physics, and it would be difficult and unnatural to separate the theory from its physical applications. The second is devoted to framing bounded noises in the theory of random dynamical systems and random bifurcations, while the third is devoted to applications of bounded shastic processes in biology, one of the major areas of potential applications of this subject. The final part concerns the application of bounded shastic processes in mechanical and structural engineering, the area where the renewed interest for non-Gaussian bounded noises started. Pure mathematicians working on shastic calculus will find here a rich source of problems that are challenging from the point of view of contemporary nonlinear analysis.
is intended for scientists working on shasticprocesses with an interest in both fundamental issues and applications. It will appeal to a broad range of applied mathematicians, mathematical biologists, physicists, engineers, and researchers in other fields interested in complexity theory. It is accessible to anyone with a working knowledge of shastic modeling, from advanced undergraduates to senior researchers.

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