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Novel intelligent Bayesian computing networks for predictive solutions of nonlinear multi-delayed tumor oncolytic virotherapy systems
Oncolytic viral immunotherapy is gaining considerable prominence in the realm of chronic
diseases treatment and rehabilitation. Oncolytic viral therapy is an intriguing therapeutic …
diseases treatment and rehabilitation. Oncolytic viral therapy is an intriguing therapeutic …
Implicit four-point hybrid block integrator for the simulations of stiff models
Over the years, the systematic search for stiff model solvers that are near-optimal has
attracted the attention of many researchers. An attempt has been made in this research to …
attracted the attention of many researchers. An attempt has been made in this research to …
Optimized two-step second derivative methods for the solutions of stiff systems
J Sunday - Journal of Physics Communications, 2022 - iopscience.iop.org
In this research article, a pair of optimized two-step second derivative methods is derived
and implemented on stiff systems. The influence of equidistant and non-equidistant hybrid …
and implemented on stiff systems. The influence of equidistant and non-equidistant hybrid …
Euler-Maruyama and Kloeden-Platen-Schurz computing paradigm for stochastic vector-borne plant epidemic model
The dynamics of viral infection within-plant hosts are of critical importance for characterizing
the prevalence and impact of plant diseases. However, few mathematical modeling efforts …
the prevalence and impact of plant diseases. However, few mathematical modeling efforts …
Reliable numerical treatment with Adams and BDF methods for plant virus propagation model by vector with impact of time lag and density
Plant disease incidence rate and impacts can be influenced by viral interactions amongst
plant hosts. However, very few mathematical models aim to understand the viral dynamics …
plant hosts. However, very few mathematical models aim to understand the viral dynamics …
A numerical block hybrid algorithm for solving systems of first-order initial value problems
Attracted by the importance of ordinary differential equations in many physical situations like,
engineering, business and health care in particular, an effective and successful numerical …
engineering, business and health care in particular, an effective and successful numerical …
A Multiblock Approach to Solving Fuzzy Differential Equations with Applications
Over time, uncertainty has significantly affected the modeling of real-world phenomena,
stemming from insufficient information/data, measurement errors, or challenges in …
stemming from insufficient information/data, measurement errors, or challenges in …
Six points implicit block method with extra derivative for solving first-order initial value problem
BS Dahi, MY Turki - AIP Conference Proceedings, 2024 - pubs.aip.org
In this study, the six-point implicit block method for solving y′=(𝓌, y) has been derived. The
proposed block method was formulated by using Hermite interpolating polynomials. The …
proposed block method was formulated by using Hermite interpolating polynomials. The …
Formulation of Variable Step Block Backward Differentiation Formula for the Computation of Nonlinear Fuzzy Differential Equations
The research paper formulates a variable step block backward differentiation formula
(VSBBDF) for solving nonlinear fuzzy differential equations (FDEs). Developed to address …
(VSBBDF) for solving nonlinear fuzzy differential equations (FDEs). Developed to address …
[PDF][PDF] Adamawa State University Journal of Scientific Research (ADSUJSR)
JA Kwanamu - adsujsr.adsu.edu.ng
It is a known fact that systems of nonlinear ordinary differential equations have been known
to be tedious to solve. In fact, some of the systems of nonlinear differential equations do not …
to be tedious to solve. In fact, some of the systems of nonlinear differential equations do not …