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ode23s solver  (MathWorks Inc)


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    MathWorks Inc ode23s solver
    Ode23s Solver, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/ode23/bio_rxiv__2025__06__24__661275-105-3-2
    Average 90 stars, based on 1 article reviews
    ode23s solver - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Fast convergence rates and trajectory convergence of a Tikhonov regularized inertial primal-dual dynamical system with time scaling and vanishing damping
    Article Snippet: Journal of Computational and Applied Mathematics 460 (2025) 116394 A 0 Contents lists available at ScienceDirect Journal of Computational and Applied Mathematics journal homepage: www.elsevier.com/locate/cam Fast convergence rates and trajectory convergence of a Tikhonov regularized inertial primal–dual dynamical system with time scaling and vanishing damping✩ Ting Ting Zhu a, Rong Hu b, Ya Ping Fang a,∗ a Department of Mathematics, Sichuan University, Chengdu, Sichuan, PR China b Department of Applied Mathematics, Chengdu University of Information Technology, Chengdu, Sichuan, PR China A R T I C L E I N F O MSC: 90C25 37N40 46N10 65K10 Keywords: Linearly constrained convex optimization problem Inertial primal–dual dynamical system Tikhonov regularization Convergence rates Trajectory convergence Minimal norm solution A B S T R A C T A Tikhonov regularized inertial primal-dual dynamical system with time scaling and vanishing damping is proposed for solving a linearly constrained convex optimization problem in Hilbert spaces.. The system under consideration consists of two coupled second order differential equations and its convergence properties depend upon the decaying speed of the product of the time scaling parameter and the Tikhonov regularization parameter (named the rescaled regularization parameter) to zero.. When the rescaled regularization parameter converges slowly to zero, the generated primal trajectory converges strongly to the minimal norm solution of the problem under suitable conditions.

    Article Title: Modeling and simulation of reactors for methanol production by CO2 reduction: A comparative study
    Article Snippet: The MATLAB and Simulink functions: ode23 and ode45 are the primary methods for solving non-stiff ordinary differential equations.

    Article Title: Machine learning model-based design and model predictive control of a bioreactor for the improved production of mammalian cell-based bio-therapeutics
    Article Snippet: The ODE equations were solved using the MATLAB solver ode23, which is a variable step size Runge-Kutta (2,3) method.


    Article Title: Mathematical complexities in radionuclide metabolic modeling: a review of ordinary differential equation kinetics solvers in biokinetic modeling
    Article Snippet: Although Ode23 and Ode113 failed when explicitly tested against the predator-prey (Lotka-Volterra) model, a pair of first-order nonlinear differential equations, the study ( Omale et al 2014 ) demonstrated the effectiveness of MATLAB ODE solvers for solving initial value problems.

    Article Title: Dynamic analysis of Hashimoto’s Thyroiditis bio-mathematical model using artificial neural network
    Article Snippet: This article establishes an efficient solution scheme for a mathematical model of Hashimoto’s Thyroiditis (HT) employing artificial neural networks.. HT is an auto-immune disorder hostile to the thyroid follicle cells, effectuating hypothyroid or hyperthyroidism.. Under this condition, the thyroid-stimulating hormone (TSH) alters incomparably to the free thyroxine (FT4) interrupts the functioning of the hypothalamus-pituitary-thyroid (HPT) axis, implicating the thyroid follicle cells getting destroyed.

    Article Title: Deterministic modelling of asymptomatic spread and disease stage progression in vaccine preventable infectious diseases
    Article Snippet: Notice that this variable does not affect the disease dynamics, and we use this component of the numerical solution of (6) to fit its parameters using the Matlab functions ode23 and lsqcurvefit [29].

    Article Title: Comparison Between Analytical and Numerical Solutions for Water Transport in the Membrane on a PEMFC Model
    Article Snippet: Based on the necessity of better understanding the trade-off between the accuracy and computational efficiency of fuel cell models, this work aims to evaluate the impact of a simplifying assumption that permits the analytical description of water transport in the electrolyte.. This simplification is the usage of a mean value for the water diffusivity, which is a function of the membrane’s water content.. For this test, analytical expressions for the transport are developed for two different electro-osmotic drag models, Springer’s linear description and a piecewise-linear proposal.



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