Numerical control measures of stochastic malaria epidemic model
Nonlinear stochastic modeling has significant role in the all discipline of sciences. The essential control measuring features of modeling are positivity, boundedness and dynamical consistency. Unfortunately, the existing stochastic methods in literature do not restore aforesaid control measuring fe...
Main Authors: | Muhammad Rafiq, Ahmadian, Ali, Raza, Ali, Baleanu, Dumitru, Ahsan, Muhammad Sarwar, Abdul Sathar, Mohammad Hasan |
---|---|
Format: | Article |
Language: | English |
Published: |
Tech Science Press
2020
|
Online Access: | http://psasir.upm.edu.my/id/eprint/86930/1/Numerical%20control%20measures%20of%20stochastic%20malaria%20epidemic%20model.pdf |
Similar Items
-
Numerical solutions of fuzzy differential equations by an efficient Runge–Kutta method with generalized differentiability
by: Ahmadian, Ali, et al.
Published: (2018) -
The use of generation stochastic models to study an epidemic disease
by: Chaharborj, Sarkhosh Seddighi, et al.
Published: (2013) -
A study on epidemic modelling using deterministic and stochastic SIR compartmental models
by: Lim, Lionel Rui Qi
Published: (2023) -
Qualitative behaviour of a stochastic hepatitis C epidemic model in cellular level
by: Lestari, Dwi, et al.
Published: (2022) -
A novel weak fuzzy solution for fuzzy linear system
by: Salahshour, Soheil, et al.
Published: (2016)