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PDF Solution of non-linear systems driven by Poisson pulses with non-Gaussian distributed amplitude Journal article
Zhu, H. T., Er, G. K., Iu, V. P., Kou, K. P.. PDF Solution of non-linear systems driven by Poisson pulses with non-Gaussian distributed amplitude[J]. International Journal of Computational Methods, 2012, 1240018-1-1240018-10.
Authors:  Zhu, H. T.;  Er, G. K.;  Iu, V. P.;  Kou, K. P.
Favorite |  | Submit date：2022/07/14
Nonlinear  probability density function  stochastic process  Poisson impulse  
PDF Solution of non-linear systems driven by Poisson pulses with non-Gaussian distributed amplitude Journal article
Zhu, H. T., Er, G. K., Iu, V. P., Kou, K. P.. PDF Solution of non-linear systems driven by Poisson pulses with non-Gaussian distributed amplitude[J]. International Journal of Computational Methods, 2012, 9(1), 1240018-1-10.
Authors:  Zhu, H. T.;  Er, G. K.;  Iu, V. P.;  Kou, K. P.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.4/1.3 | Submit date：2022/07/14
Nonlinear  Probability Density Function  Stochastic Process  Poisson Impulse  
Exponential polynomial closure method for solving truncated kolmogorovfeller equation Journal article
Zhu H.T., Er G.K., Iu V.P., Kou K.P.. Exponential polynomial closure method for solving truncated kolmogorovfeller equation[J]. International Journal of Computational Methods, 2012, 9(1).
Authors:  Zhu H.T.;  Er G.K.;  Iu V.P.;  Kou K.P.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.4/1.3 | Submit date：2019/02/12
Nonlinear  Poisson Impulse  Probability Density Function  Stochastic Process  
EXPONENTIAL–POLYNOMIAL CLOSURE METHOD FOR SOLVING TRUNCATED KOLMOGOROV–FELLER EQUATION Journal article
H. T. ZHU, G. K. ER, V. P. IU, K. P. KOU. EXPONENTIAL–POLYNOMIAL CLOSURE METHOD FOR SOLVING TRUNCATED KOLMOGOROV–FELLER EQUATION[J]. International Journal of Computational Methods, 2011, 9(1).
Authors:  H. T. ZHU;  G. K. ER;  V. P. IU;  K. P. KOU
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.4/1.3 | Submit date：2019/07/30
Nonlinear  Probability Density Function  Stochastic Process  Poisson Impulse