LASSIE: simulating large-scale models of biochemical systems on GPUs
Background Mathematical modeling and in silico analysis are widely acknowledged as
complementary tools to biological laboratory methods, to achieve a thorough understanding …
complementary tools to biological laboratory methods, to achieve a thorough understanding …
[PDF][PDF] A family of modified backward differentiation formula (BDF) type block methods for the solution of stiff ordinary differential equations
K Atsi, GM Kumleng - International Journal of Statistics and Applied …, 2020 - academia.edu
A family of modified BDF type block methods for the solution stiff ordinary differential
equations has been constructed in this research. Four different block methods for step …
equations has been constructed in this research. Four different block methods for step …
Numerical solution of first and second order differential equations with deep neural networks
TVSS Chaitanya, RP Kumar… - 2023 IEEE World …, 2023 - ieeexplore.ieee.org
Ordinary differential equations (ODEs) are a fundamental tool for modeling dynamical
systems in various scientific fields. However, solving ODEs analytically can be challenging …
systems in various scientific fields. However, solving ODEs analytically can be challenging …
Development of a fully implicit ODE-solver for containment analysis code
J Huang, J Li, Y Ma - Frontiers in Energy Research, 2024 - frontiersin.org
The thermal–hydraulic dynamics in containment are governed by a system of stiff ordinary
differential equations (ODEs). A fully implicit discretization scheme is adopted to discretize …
differential equations (ODEs). A fully implicit discretization scheme is adopted to discretize …
A family of matrix coefficient formulas for solving ordinary differential equations
SY Chang - Applied Mathematics and Computation, 2022 - Elsevier
A matrix form of coefficients is applied to develop a new family of one-step explicit methods.
Clearly, this type of methods is different from the conventional methods that have scalar …
Clearly, this type of methods is different from the conventional methods that have scalar …
Incorporating NODE with pre-trained neural differential operator for learning dynamics
Learning dynamics governed by differential equations is crucial for predicting and
controlling the systems in science and engineering. Neural Ordinary Differential Equation …
controlling the systems in science and engineering. Neural Ordinary Differential Equation …
[PDF][PDF] An explicit time-step** method based on error minimization for solving stiff system of ordinary differential equations
In this paper, an explicit one step method is presented for numerical solution of stiff systems
of ordinary differential equations (ODEs). In this method, the solution of the ODE is …
of ordinary differential equations (ODEs). In this method, the solution of the ODE is …
Solution approaches to differential equations of mechanical system dynamics: a case study of car suspension system
Solution of a dynamic system is commonly demanding when analytical approaches are
used. In order to solve numerically, describing the motion dynamics using differential …
used. In order to solve numerically, describing the motion dynamics using differential …
Procedure for Exact Solutions of Sti Ordinary Dierential Equations Systems
B Benhammouda… - British Journal of …, 2014 - archive.submissionwrite.com
In this work, we present a technique for the analytical solution of systems of sti ordinary
dierential equations (SODEs) using the power series method (PSM). Three SODEs systems …
dierential equations (SODEs) using the power series method (PSM). Three SODEs systems …
An optimized 5-point block formula for direct numerical solution of first order stiff initial value problems
VO Atabo, PO Olatunji - NIGERIAN ANNALS OF PURE AND APPLIED …, 2020 - napas.org.ng
In this research article, we focus on the formulation of a 5-point block formula for solving first
order ordinary differential equations (ODEs). The method is formulated via interpolation and …
order ordinary differential equations (ODEs). The method is formulated via interpolation and …