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adaptive runge-kutta solver ode45  (MathWorks Inc)


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    MathWorks Inc adaptive runge-kutta solver ode45
    Adaptive Runge Kutta Solver Ode45, 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/runge-kutta+solver+ode45/pmc10515162__pnas__2212949120__sapp-146-15-19
    Average 90 stars, based on 1 article reviews
    adaptive runge-kutta solver ode45 - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Massive computational acceleration by using neural networks to emulate mechanism-based biological models
    Article Snippet: We combine the Matlab built-in Runge-Kutta solver ode45 with a second order centered 72 finite difference scheme for discretization of the gradients.

    Article Title: Reconstruction of distinct vertebrate gastrulation modes via modulation of key cell behaviors in the chick embryo.
    Article Snippet: To compute the FTLE, we first calculate Ftt0ðx0Þ by integrating the cell velocity field v(x, t) using the MATLAB built-in Runge-Kutta solver ODE45 with an absolute and relative tolerance of 10−6, linear interpolation in space and time, and a uniform dense grid of the initial conditions.

    Article Title: A mechanochemical model recapitulates distinct vertebrate gastrulation modes
    Article Snippet: To compute the FTLE, we first calculate Ftt0(x0) by integrating the cell velocity field v(x, t) using the MATLAB built-in Runge-Kutta solver ODE45 with absolute and relative tolerance of 10−6, linear interpolation in space and time, and a uniform dense grid of initial conditions.

    Article Title: Population structure across scales facilitates coexistence and spatial heterogeneity of antibiotic-resistant infections
    Article Snippet: The differential equations were numerically integrated in MATLAB, using the Runge-Kutta solver provided in the function ode45 .

    Article Title: Reconstruction of distinct vertebrate gastrulation modes via modulation of key cell behaviors in the chick embryo
    Article Snippet: To compute the FTLE, we first calculate F t 0 t ( x 0 ) by integrating the cell velocity field v ( x , t ) using the MATLAB built-in Runge-Kutta solver ODE45 with an absolute and relative tolerance of 10 −6 , linear interpolation in space and time, and a uniform dense grid of the initial conditions.

    Article Title: Defect-mediated dynamics of coherent structures in active nematics
    Article Snippet: To compute the FTLE, we first calculate Ftt0 (x0) (equation (1)) by integrating the cell velocity field v(x, t) using the built-in Runge–Kutta solver ODE45 in MATLAB 2021b with absolute and relative tolerance of 10−6, linear interpolation in space and time and a uniform dense grid of initial conditions.

    Article Title: Experiments-based parameter identification on the GPU for cooperative systems
    Article Snippet: In this paper, we describe how to enhance experimental parameter identification for cooperative systems using the GPU.. This kind of identification is necessary, for example, in the area of developing robust controllers and observers based on available measurement data.. First, we point out which parts of the general, global optimization based parameter identification procedure can be parallelized and compare it to the experiments-based technique.

    Article Title: Asymmetric hydrodynamic roll gap model and its experimental validation
    Article Snippet: 22a was solved using the MATLAB Runge-Kutta solver ode45.



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