Effective high-order energy stable flux reconstruction methods for first-order hyperbolic linear and nonlinear systems

2020 ◽  
Vol 414 ◽  
pp. 109475
Author(s):  
Shuai Lou ◽  
Shu-sheng Chen ◽  
Bo-xi Lin ◽  
Jian Yu ◽  
Chao Yan
Keyword(s):  
Nonlinear Systems ◽  
High Order ◽  
Flux Reconstruction ◽  
First Order ◽  
Order Energy ◽  
Reconstruction Methods ◽  
Linear And Nonlinear ◽  
Energy Stable ◽  
Linear And Nonlinear Systems

A New Class of High-Order Energy Stable Flux Reconstruction Schemes

2010 ◽  
Vol 47 (1) ◽  
pp. 50-72 ◽  
Author(s):  
P. E. Vincent ◽  
P. Castonguay ◽  
A. Jameson
Keyword(s):  
High Order ◽  
Flux Reconstruction ◽  
New Class ◽  
Order Energy ◽  
Energy Stable

Mathematical modeling of conversion of non-Gaussian random processes, signals and noise in linear and nonlinear systems

2018 ◽  
pp. 66-78
Author(s):  
V. M. Artyushenko ◽  
V. I. Volovach
Keyword(s):  
Mathematical Modeling ◽  
Nonlinear Systems ◽  
Random Processes ◽  
Mathematical Transformation ◽  
Positive And Negative Feedback ◽  
Non Linear Systems ◽  
Linear And Nonlinear ◽  
Non Gaussian ◽  
Linear And Nonlinear Systems ◽  
Inertial Systems

The questions connected with mathematical modeling of transformation of non-Gaussian random processes, signals and noise in linear and nonlinear systems are considered and analyzed. The mathematical transformation of random processes in linear inertial systems consisting of both series and parallel connected links, as well as positive and negative feedback is analyzed. The mathematical transformation of random processes with polygamous density of probability distribution during their passage through such systems is considered. Nonlinear inertial and non-linear systems are analyzed.

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